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

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.

Create an array containing 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.

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.

Configurable Mersenne Twister PRNG implementation written in TypeScript.

A simple encryption program using mt19973

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.

A reentrant variant of MT19937 RNG

A dynamic link library (DLL) for randomization.

Python implementation of a symbolic execution of MT19937 and a solver for GF(2) matrices

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

Implementation of the MT19937 Random Number Generator Algorithm

Mersenne Twister Generator - MT19937

Poor python version of mt19937 using numpy for laziness

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

A 32-bit Mersenne Twister pseudorandom number generator.

Rubik's cube scramble generator written in C++

Reverse implementation of the MT19937 Mersenne Twister pseudorandom number generator

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