Summary

This project provides random generators.

There is a uniform random generator, a gaussian random generator and a 0 returning generator for debugging purpose.

Installation

npm install --save rauricoste-random

Usage

    var Random = require("rauricoste-random")
    var uniformGenerator = Random.simple;
    var gaussianGenerator = Random.gaussian;
    var zeroGenerator = Random.zero;
    
    // returns a random number between 0 and 1 (uniform distribution)
    uniformGenerator.nextRandom();
    // returns a random number between 0 and 1 (gaussian distribution)
    gaussianGenerator.nextRandom();
    // returns 0
    zeroGenerator.nextRandom();    

Generator methods

• nextRandom(): float : returns a random number between 0 and 1
• nextNRandoms(n: integer): Array<float> : returns an array of n random numbers
• nextNumber(min: float, max: float): float : returns a random float number between min and max
• nextInt(min: integer, max: integer): integer : returns a random integer number between min and max (inclusive)
• nextChar(alphabet: string): string : returns a random char contained in the string alphabet
• nextString(alphabet: string, length: integer = 32): string : returns a random string of length length contained in the alphabet
• nextReadableId(length: integer = 32): string : returns a random string of length length using the alphabet abcdefghjkmnopqrstuvwxyz0987654321
• shuffle(array) : shuffles the array. array is modified.
• pickOne(array) : returns a random element of the array
• pick(array, count: integer): {picked: Array, newArray: Array} : picks count elements in the array. The picked attribute of the returned object is the picked elements. newArray is the array of the elements left. array is not modified.