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@galaxyops/pseudo-random

v2.2.0

Published

This Pseudo-Random Number Generator Library is a TypeScript library that provides a collection of pseudo-random number generators useful for various applications. These generators offer flexibility and control over the distribution of generated numbers, m

Downloads

6

Readme

@galaxyops/pseudo-random

This Pseudo-Random Number Generator Library is a TypeScript library that provides a collection of pseudo-random number generators useful for various applications. These generators offer flexibility and control over the distribution of generated numbers, making them ideal for scenarios where traditional sequential numbers might reveal sensitive information or impact user experience.

Features

ObfuscateCounter: Generate obfuscated counters for use in scenarios like invoice numbers, where you want to avoid revealing the total count or providing a predictable sequence.

FisherYatesShuffle: Implement the Fisher-Yates shuffle algorithm to randomize elements in a sequence, suitable for scenarios like ticket numbers or any situation where order randomness is desired.

Installation

Install the library using npm:

npm install @galaxyops/pseudo-random

Usage

ObfuscateCounter

import { ObfuscateCounter } from 'pseudo-random-library';

const obfuscateCounter = new ObfuscateCounter();
const invoiceNumber = obfuscateCounter.run('12345678');
console.log('Obfuscated Invoice Number:', invoiceNumber);
// Example Output: Obfuscated Invoice Number: 17509326

FisherYatesShuffle

import { FisherYatesShuffle } from 'pseudo-random-library';

const fisherYatesShuffle = new FisherYatesShuffle();
const randomizedTicketNumber = fisherYatesShuffle.run(
  'ABCDEFGHIJKLMNOPQRSTUVWXYZ',
);
console.log('Randomized Ticket Number:', randomizedTicketNumber);
// Example Output: Randomized Ticket Number: KJHFVXMBWTZQNGLOAUSYCDPIRE

Use Cases

Invoice Numbers: Generate obfuscated invoice numbers to protect sensitive information and avoid revealing the total count.

Ticket Numbers: Randomize ticket numbers to prevent predicting sales or determining the order of placement.

Contribution

Contributions are welcome! If you have suggestions, bug reports, or want to add new features, please open an issue or submit a pull request.

License

This library is licensed under the MIT License.