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July 22, 2024 16:40
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Save mathiasbynens/5670917 to your computer and use it in GitHub Desktop.
Here’s a 100% deterministic (predictable) alternative to `Math.random`. Useful when benchmarking.
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// Here’s a 100% deterministic alternative to `Math.random`. Google’s V8 and | |
// Octane benchmark suites use this to ensure predictable results. | |
Math.random = (function() { | |
var seed = 0x2F6E2B1; | |
return function() { | |
// Robert Jenkins’ 32 bit integer hash function | |
seed = ((seed + 0x7ED55D16) + (seed << 12)) & 0xFFFFFFFF; | |
seed = ((seed ^ 0xC761C23C) ^ (seed >>> 19)) & 0xFFFFFFFF; | |
seed = ((seed + 0x165667B1) + (seed << 5)) & 0xFFFFFFFF; | |
seed = ((seed + 0xD3A2646C) ^ (seed << 9)) & 0xFFFFFFFF; | |
seed = ((seed + 0xFD7046C5) + (seed << 3)) & 0xFFFFFFFF; | |
seed = ((seed ^ 0xB55A4F09) ^ (seed >>> 16)) & 0xFFFFFFFF; | |
return (seed & 0xFFFFFFF) / 0x10000000; | |
}; | |
}()); |
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1000 0.5296723395586014 |
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Result #1 is equal to result #141,316,600 (
0x86C51F8
):0.9872818551957607
. The cycle restarts there.