Python decorator to control randomness of functions, methods and properties
-
Updated
Sep 29, 2022 - Python
Python decorator to control randomness of functions, methods and properties
An extremely-fast, statistically-strong PRNG with 32-bit integers and a minimum period of 2¹⁰²⁴.
A fast, statistically-strong PRNG with 32-bit integers and a period of 2³².
An extremely-fast, statistically-weak PRNG with 8-bit integers and a period of 2⁹.
A fast, statistically-strong PRNG with 16-bit integers and a period of 2¹⁶.
A fast, statistically-strong PRNG with 32-bit integers and a minimum period of 2⁵¹² to 2³²⁷⁶⁸.
A fast, statistically-strong PRNG with 64-bit integers and a minimum period of 2¹⁰²⁴ to 2⁶⁵⁵³⁶.
A fast, statistically-strong PRNG with 64-bit integers and a minimum period of 2⁶⁴.
A fast, statistically-strong PRNG with 64-bit integers and a minimum period of 2²⁵⁶.
A fast, statistically-strong PRNG with 32-bit integers that replaces 16-bit rand( ) in C for security compliance.
pseudorandom number simulation project using java
A Python library for testing pseudo-noise (PN) sequences
Add a description, image, and links to the pseudorandomness topic page so that developers can more easily learn about it.
To associate your repository with the pseudorandomness topic, visit your repo's landing page and select "manage topics."