This project provides pseudorandom number generation with integer values, as part of the stdlib JavaScript library for scientific computing. It offers a flexible API that allows users to generate random integers using different pseudorandom number generators (PRNGs) like Mersenne Twister or linear congruential generators, with options for seeding and state management. The package is designed for developers who need reliable, high-performance random number generation in web or Node.js applications, particularly those working on numerical or scientific computing tasks.
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Support the dependencies of stdlib-js/random-base-randi
Return a JSON representation of a typed array.
Test if an object has a specified property.
Test if a value is a boolean.
Test if a value is a plain object.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
A 32-bit Mersenne Twister pseudorandom number generator.
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.
Uint32Array.
Test if a value is an array-like object.
Test if a value is a number having an integer value.
Maximum unsigned 32-bit integer.
Test if a double-precision floating-point numeric value is NaN.
Round a double-precision floating-point number toward negative infinity.
Time in seconds since the epoch.
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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