This is a test Rust program I made to learn how Rust works while implementing a bunch of random things for fun. Supports RNGs, printing the current time, and other things.

High-performance 32- and 64-bit global-state (thread-unsafe) and thread-safe uniform pseudorandom number generators for C, C++ and Python. Provided as an installable package.

A 32-bit Mersenne Twister pseudorandom number generator.

Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.

Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.

The utility for the creation and verification of files filled with a pseudo-random sequence of bytes.

A Mersenne Twister Random Number Generator

Poor python version of mt19937 using numpy for laziness

Configurable Mersenne Twister PRNG implementation written in TypeScript.

Reverse implementation of the MT19937 Mersenne Twister pseudorandom number generator

Seed a C++ random number engine with random seeds from std:random_device. Works with any engine that can be seeded with a seed sequence, including those in the C++ Standard Library.

Reconstructed revision history for the MT19937 Mersenne Twister PRNG by Makoto Matsumoto and Takuji Nishimura

Mersenne Twister Generator - MT19937

Mersenne Twister(MT19937) implementation in Rust

A dynamic link library (DLL) for randomization.

Predict and Backtrack MT19937 PRNG by putting 32 * 624 bits generated numbers. Python "random" standard library uses mt19937, so we can easily crack it.

Implementation of the MT19937 Random Number Generator Algorithm

An MT19937 Mersenne Twister rng implementation, with the goal of being compatible with CPython's _random module.

Dart implementations of the Mersenne Twister pseudo-random number generator.

Collections of PRNG Predictions