Random number generation suitable for testing only
npm install kld-random- Installation
- Usage
- Uniform Distribution
- Repeatable Uniform Distribution
- Uniform Distribution Range
- Gaussian Distribution
- Gaussian Distribution with Average and Variance
---
Random number generation suitable for testing only. I mostly use this for prototyping and for unit tests. Don't build an encyption layer with this :)
``npm install kld-random`
Generate a uniform distribution between [0, 1)
`javascript
import {uniformGenerator} from "kld-random";
const random = uniformGenerator();
for (let i = 0; i < 10; i++) {
console.log(random());
}
`
Generate a uniform distribution that will create the same sequence of numbers each time a new generator is created. This is done by providing a seed value when creating the generator.
`javascript
import {uniformGenerator} from "kld-random";
const mySeed = 1337;
const random = uniformGenerator(mySeed);
for (let i = 0; i < 10; i++) {
console.log(random());
}
`
Generate a uniform distribution within a range of values. Note that you can provide an optional seed value as the last argument when creating the generator.
`javascript
import {uniformGeneratorRange} from "kld-random";
const min = 10;
const max = 233;
const random = uniformGeneratorRange(min, max);
for (let i = 0; i < 10; i++) {
console.log(random());
}
`
Generate a gaussian distrubution. Note that you can provide an optional seed value as the last argument when creating the generator.
`javascript
import {gaussianGenerator} from "kld-random";
const random = gaussianGenerator();
for (let i = 0; i < 10; i++) {
console.log(random());
}
`
Generate a gaussian distrubution with a specified average and variance. Note that you can provide an optional seed value as the last argument when creating the generator.
`javascript
import {gaussianGeneratorRange} from "kld-random";
const average = 133;
const variance = 13;
const random = gaussianGeneratorRange(average, variance);
for (let i = 0; i < 10; i++) {
console.log(random());
}
``