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glitch_automata_lab/backend/test/caInitialConditionGenerators.test.ts
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2026-07-06 13:11:48 +02:00

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TypeScript

import { describe, expect, it } from 'vitest'
import {
generateInitialCondition,
getInitialConditionRuntime,
listInitialConditionRuntimes,
registerInitialConditionRuntime
} from '../admin/src/caInitialConditionGenerators.js'
describe('CA initial condition runtimes', () => {
it('registers the built-in random soup generator', () => {
expect(listInitialConditionRuntimes().map((runtime) => runtime.id)).toEqual(
expect.arrayContaining(['random-soup', 'naga-markov'])
)
expect(getInitialConditionRuntime('random-soup')?.label).toBe('Random soup')
expect(getInitialConditionRuntime('naga-markov')?.label).toBe('Naga Markov chains')
})
it('generates deterministic cell coordinates for the same seed and density', () => {
const input = {
caClass: { dimensions: 2, states: 2 },
settings: { simulation: { grid: { size: [5, 5, 1] } } },
params: { density: 0.35, seed: 'repeatable' }
}
expect(generateInitialCondition('random-soup', input)).toEqual(generateInitialCondition('random-soup', input))
})
it('clamps density and records generator provenance in the persisted initial condition', () => {
const generated = generateInitialCondition('random-soup', {
caClass: { dimensions: 2, states: 2 },
settings: { simulation: { grid: { size: [3, 3, 1] } } },
params: { density: 2, seed: 'full' }
})
expect(generated.cells).toHaveLength(9)
expect(generated.generator).toEqual({ kind: 'random-soup', density: 1, seed: 'full' })
})
it('lets custom initial condition runtimes plug into the same contract', () => {
registerInitialConditionRuntime({
id: 'test-single-cell',
label: 'Test single cell',
generate: () => ({ type: 'cells', cells: [[1, 1, 0]], generator: { kind: 'test-single-cell' } })
})
expect(generateInitialCondition('test-single-cell', {
caClass: { dimensions: 2, states: 2 },
settings: {},
params: {}
}).cells).toEqual([[1, 1, 0]])
})
it('generates collision-free Naga Markov chains with directional continuity', () => {
const generated = generateInitialCondition('naga-markov', {
caClass: { dimensions: 3, states: 7 },
settings: { simulation: { grid: { size: [12, 12, 12] } } },
params: { count: 2, length: 5, sameTypeProbability: 1, seed: 'straight-nagas' }
})
expect(generated.cells).toHaveLength(10)
expect(new Set(generated.cells.map(([x, y, z]) => `${x}_${y}_${z}`)).size).toBe(10)
expect(generated.generator).toMatchObject({
kind: 'naga-markov',
count: 2,
length: 5,
sameTypeProbability: 1,
seed: 'straight-nagas',
created: 2
})
const occupied = new Set(generated.cells.map(([x, y, z]) => `${x}_${y}_${z}`))
for (let start = 0; start < generated.cells.length; start += 5) {
for (let index = start; index < start + 4; index += 1) {
const [x, y, z, arrow] = generated.cells[index]
const [nextX, nextY, nextZ, nextArrow] = generated.cells[index + 1]
expect(nextArrow).toBe(arrow)
if (arrow === 1) expect([nextX, nextY, nextZ]).toEqual([x + 1, y, z])
if (arrow === 2) expect([nextX, nextY, nextZ]).toEqual([x, y + 1, z])
if (arrow === 3) expect([nextX, nextY, nextZ]).toEqual([x, y, z + 1])
if (arrow === 4) expect([nextX, nextY, nextZ]).toEqual([x - 1, y, z])
if (arrow === 5) expect([nextX, nextY, nextZ]).toEqual([x, y - 1, z])
if (arrow === 6) expect([nextX, nextY, nextZ]).toEqual([x, y, z - 1])
}
const [x, y, z, arrow] = generated.cells[start + 4]
const terminalTarget =
arrow === 1 ? [x + 1, y, z] :
arrow === 2 ? [x, y + 1, z] :
arrow === 3 ? [x, y, z + 1] :
arrow === 4 ? [x - 1, y, z] :
arrow === 5 ? [x, y - 1, z] :
[x, y, z - 1]
expect(occupied.has(terminalTarget.join('_'))).toBe(false)
}
})
it('rejects duplicate runtime ids and missing implementations', () => {
expect(() =>
registerInitialConditionRuntime({
id: 'random-soup',
label: 'Duplicate random soup',
generate: () => ({ type: 'cells', cells: [], generator: { kind: 'random-soup' } })
})
).toThrow('already registered')
expect(() =>
generateInitialCondition('missing-generator', {
caClass: { dimensions: 2, states: 2 },
settings: {},
params: {}
})
).toThrow('unavailable')
})
})