This project is part of the stdlib JavaScript library and provides a function to create arrays filled with pseudorandom numbers drawn from a continuous uniform distribution. It's designed for developers working on numerical and scientific computing tasks in JavaScript or Node.js who need to generate arrays of random numbers within a specified range.
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Support the dependencies of stdlib-js/random-array-uniform
Default array settings.
List of array data types.
Create a factory function for generating pseudorandom values drawn from a binary PRNG.
Uniformly distributed pseudorandom numbers.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Float32Array.
Float64Array.
Create an array filled with NaNs and having a specified length.
Uint32Array.
Create a zero-filled array having a specified length.
Test if a value is a Uint32Array.
Insert array element values into a format string and print the result.
Maximum unsigned 32-bit integer.
Test if a double-precision floating-point numeric value is NaN.
Test if a single-precision floating-point numeric value is NaN.
Exponential function.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
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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