Fully managed library providing various random number generators and distributions.
-
Updated
Jan 2, 2020
Fully managed library providing various random number generators and distributions.
Python implementation of a symbolic execution of MT19937 and a solver for GF(2) matrices
Predict and Backtrack MT19937 PRNG by putting 32 * 624 bits generated numbers. Python "random" standard library uses mt19937, so we can easily crack it.
Implementing and breaking the MT19937 Mersenne Twister pseudorandom number generator
A Mersenne Twister Random Number Generator
A 32-bit Mersenne Twister pseudorandom number generator.
Collections of PRNG Predictions
An MT19937 Mersenne Twister rng implementation, with the goal of being compatible with CPython's _random module.
Mersenne Twister(MT19937) implementation in Rust
Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
Reconstructed revision history for the MT19937 Mersenne Twister PRNG by Makoto Matsumoto and Takuji Nishimura
Mersenne Twister Generator - MT19937
Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
mt19937 - Mersenne Twister pseudo-RNG, 32 bit version
Configurable Mersenne Twister PRNG implementation written in TypeScript.
Add a description, image, and links to the mt19937 topic page so that developers can more easily learn about it.
To associate your repository with the mt19937 topic, visit your repo's landing page and select "manage topics."