Add option to use old random and a benchmark
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3 changed files with 99 additions and 1 deletions
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@ -186,7 +186,7 @@ export const mouseY = signal(() => _mouseY);
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export const mousex = signal(() => _mouseX);
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export const mouseX = signal(() => _mouseX);
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// random signals
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// Random number generators
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// Produce "Avalanche effect" where flipping a single bit of x
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// results in all output bits flipping with probability 0.5
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@ -215,8 +215,38 @@ function randAt(t, i = 0) {
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return _murmurHashFinalizer(_decorrelate(t, i)) / 4294967296; // 2^32
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}
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// Deprecated: Old random signals. Configuration `useOldRandom` may be used for legacy songs
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// stretch 300 cycles over the range of [0,2**29 == 536870912) then apply the xorshift algorithm
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const __xorwise = (x) => {
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const a = (x << 13) ^ x;
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const b = (a >> 17) ^ a;
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return (b << 5) ^ b;
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};
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const __frac = (x) => x - Math.trunc(x);
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const __timeToIntSeed = (x) => __xorwise(Math.trunc(__frac(x / 300) * 536870912));
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const __intSeedToRand = (x) => (x % 536870912) / 536870912;
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const __timeToRand = (x) => Math.abs(__intSeedToRand(__timeToIntSeed(x)));
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const __timeToRandsPrime = (seed, n) => {
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const result = [];
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for (let i = 0; i < n; i++) {
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result.push(__intSeedToRand(seed));
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seed = __xorwise(seed);
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}
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return result;
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};
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const __timeToRands = (t, n) => __timeToRandsPrime(__timeToIntSeed(t), n);
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// End old random
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let useOldRandomBool = false;
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export const useOldRandom = (b = true) => useOldRandomBool = b;
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// N samples at time t
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function timeToRands(t, n) {
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if (useOldRandomBool) {
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return __timeToRands(t, n);
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}
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const out = new Array(n);
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for (let i = 0; i < n; i++) out[i] = randAt(t, i);
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return out;
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@ -224,6 +254,9 @@ function timeToRands(t, n) {
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// Single sample at time t
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function timeToRand(t) {
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if (useOldRandomBool) {
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return __timeToRand(t);
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}
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return randAt(t, 0);
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}
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