This project provides a 32-bit Mersenne Twister pseudorandom number generator for JavaScript. It's a high-quality, fast random number generator suitable for simulations and numerical computations where cryptographic security is not required. The package is part of stdlib, a comprehensive standard library for JavaScript and Node.js focused on numerical and scientific computing.
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Support the dependencies of stdlib-js/random-base-mt19937
Return a JSON representation of a typed array.
Uint32Array.
Test if an object has a specified property.
Test if a value is a boolean.
Test if a value is a collection.
Test if a value is a plain object.
Test if a value is a number having a positive integer value.
Test if a value is a Uint32Array.
Copy values from x into y.
Maximum safe double-precision floating-point integer.
Maximum unsigned 32-bit integer.
Round a double-precision floating-point number toward negative infinity.
Return the maximum value.
Multiply two unsigned 32-bit integers.
Common APIs shared across base pseudorandom number generators.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define a non-enumerable read-write accessor.
Load a manifest for compiling source files.
Format an error message for production.
Create a zero-filled generic array.
Test if a double-precision floating-point numeric value is NaN.
Test if a finite double-precision floating-point number is a nonnegative integer.
Object containing the user environment.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
One-sample Kolmogorov-Smirnov goodness-of-fit test.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use ca
Minimal TAP output formatter.
Benchmark harness.
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