Working but slow

backend/test/caInitialConditionGenerators.test.ts

@@ -19,7 +19,7 @@ describe('CA initial condition runtimes', () => {
     const input = {
       caClass: { dimensions: 2, states: 2 },
       settings: { simulation: { grid: { size: [5, 5, 1] } } },
-      params: { density: 0.35, seed: 'repeatable' }
+      params: { density: 0.35, ic_seed: 'repeatable' }
     }
 
     expect(generateInitialCondition('random-soup', input)).toEqual(generateInitialCondition('random-soup', input))
@@ -29,11 +29,11 @@ describe('CA initial condition runtimes', () => {
     const generated = generateInitialCondition('random-soup', {
       caClass: { dimensions: 2, states: 2 },
       settings: { simulation: { grid: { size: [3, 3, 1] } } },
-      params: { density: 2, seed: 'full' }
+      params: { density: 2, ic_seed: 'full' }
     })
 
     expect(generated.cells).toHaveLength(9)
-    expect(generated.generator).toEqual({ kind: 'random-soup', density: 1, seed: 'full' })
+    expect(generated.generator).toEqual({ kind: 'random-soup', density: 1, ic_seed: 'full' })
   })
 
   it('lets custom initial condition runtimes plug into the same contract', () => {
@@ -54,7 +54,7 @@ describe('CA initial condition runtimes', () => {
     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' }
+      params: { count: 2, meanLength: 5, lengthStdDev: 0, sameTypeProbability: 1, ic_seed: 'straight-nagas' }
     })
 
     expect(generated.cells).toHaveLength(10)
@@ -62,9 +62,10 @@ describe('CA initial condition runtimes', () => {
     expect(generated.generator).toMatchObject({
       kind: 'naga-markov',
       count: 2,
-      length: 5,
+      meanLength: 5,
+      lengthStdDev: 0,
       sameTypeProbability: 1,
-      seed: 'straight-nagas',
+      ic_seed: 'straight-nagas',
       created: 2
     })
 
@@ -93,6 +94,31 @@ describe('CA initial condition runtimes', () => {
     }
   })
 
+  it('samples Naga Markov chain lengths from deterministic mean and deviation settings', () => {
+    const generated = generateInitialCondition('naga-markov', {
+      caClass: { dimensions: 3, states: 7 },
+      settings: { simulation: { grid: { size: [30, 30, 30] } } },
+      params: { count: 8, meanLength: 7, lengthStdDev: 3, sameTypeProbability: 0.8, ic_seed: 'variable-nagas' }
+    })
+
+    const repeated = generateInitialCondition('naga-markov', {
+      caClass: { dimensions: 3, states: 7 },
+      settings: { simulation: { grid: { size: [30, 30, 30] } } },
+      params: { count: 8, meanLength: 7, lengthStdDev: 3, sameTypeProbability: 0.8, ic_seed: 'variable-nagas' }
+    })
+
+    expect(generated).toEqual(repeated)
+    expect(generated.generator).toMatchObject({
+      kind: 'naga-markov',
+      count: 8,
+      meanLength: 7,
+      lengthStdDev: 3,
+      ic_seed: 'variable-nagas',
+      created: 8
+    })
+    expect(generated.cells.length).not.toBe(56)
+  })
+
   it('rejects duplicate runtime ids and missing implementations', () => {
     expect(() =>
       registerInitialConditionRuntime({