# xsadd **Repository Path**: mirrors_mljs/xsadd ## Basic Information - **Project Name**: xsadd - **Description**: JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-10-22 - **Last Updated**: 2026-05-17 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # ml-xsadd

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JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator. Based on the C code from https://github.com/MersenneTwister-Lab/XSadd. ## Installation `$ npm install ml-xsadd` ## API ```js const { XSadd } = require("ml-xsadd"); const gen = new XSadd(); const number = gen.getFloat(); ``` ### new XSadd([seed]) Creates a new XSadd instance. Seed is an optional integer that defaults to `Date.now()`. ### getUint32() Returns a 32-bit integer r (0 <= r < 2^32). ### getFloat() Returns a floating point number r (0.0 <= r < 1.0). ### random() Like `getFloat()` but dynamically bound to the `XSadd` instance. You can use this function externally, like `Math.random`: ```js const xsadd = new XSadd(); const random = xsadd.random; const number = random(); ``` ### init(seed) Reinitialize the generator with a new seed. ## LICENSE [MIT](./LICENSE) [npm-image]: https://img.shields.io/npm/v/ml-xsadd.svg?style=flat-square [npm-url]: https://npmjs.org/package/ml-xsadd [ci-image]: https://github.com/mljs/xsadd/workflows/Node.js%20CI/badge.svg?branch=main [ci-url]: https://github.com/mljs/xsadd/actions?query=workflow%3A%22Node.js+CI%22 [download-image]: https://img.shields.io/npm/dm/ml-xsadd.svg?style=flat-square [download-url]: https://npmjs.org/package/ml-xsadd