This project provides an iterator for generating uniformly distributed pseudorandom numbers between 0 and 1, with support for various pseudorandom number generators (PRNGs) like Mersenne Twister and linear congruential generators. It's designed for developers who need reproducible random number generation in JavaScript applications, particularly those working on numerical computing, simulations, or statistical analysis that require controlled randomness.
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Support the dependencies of stdlib-js/random-iter-randu
Test if an object has a specified property.
Test if a value is a number having a nonnegative integer value.
Test if a value is a plain object.
Maximum double-precision floating-point number.
Copy enumerable own properties from one or more source objects to a target object.
Uniformly distributed pseudorandom numbers between 0 and 1.
Insert supplied variable values into a format string.
Symbol iterator.
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.
Format an error message for production.
Uint32Array.
Test if a value is a Uint32Array.
Test if a double-precision floating-point numeric value is NaN.
Time in seconds since the epoch.
Proxies nodejs require in order to allow overriding dependencies during testing.
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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