JSPM

  • ESM via JSPM
  • ES Module Entrypoint
  • Export Map
  • Keywords
  • License
  • Repository URL
  • TypeScript Types
  • README
  • Created
  • Published
  • Downloads 11
  • Score
    100M100P100Q45249F
  • License ISC

create random float number array by size, sum, min, max

Package Exports

  • random-sum-float

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (random-sum-float) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

random-sum-float

create random float number array by size, sum, min, max

install

npm install random-sum-float

API

declare function randomSumFloat(size: number, sum?: number, min?: number, max?: number): number[];
declare namespace randomSumFloat {
    var create: (size: number, sum?: number, min?: number, max?: number, noUnique?: boolean, limit?: number) => () => number[];
    var randomSumFloat: typeof randomSumFloat;
    var default: typeof randomSumFloat;
}
export = randomSumFloat;

demo

import randomSumFloat from 'random-sum-float';

let size = 3;
let sum = 10;
let min = 1;
let max = 10;

/**
 * recommend way, otherwise will slow
 */
let fn = randomSumFloat.create(size, sum, min, max);
let v: number[];

v = fn();

console.log(v, array_sum(v));
// => [ 2.828736460774711, 5.763831427698853, 1.407432111526436 ] 10

/**
 * will slow if not same [size, sum, min, max]
 */
v = randomSumFloat(size, sum, min, max);
// => [ 1.0521188269862214, 4.661026586341693, 4.286854586672085 ] 10

console.log(v, array_sum(v));

/**
 * auto create sum
 */
v = randomSumFloat(size, null, min, max);
// => [ 3.9067266610605182, 4.259092854483752, 3.834180484455729 ] 12

console.log(v, array_sum(v));

/**
 * auto create sum v2
 */
v = randomSumFloat(size);
// => [ 0.3641343986242387, 0.4843074708676399, 0.1515581305081214 ] 1

console.log(v, array_sum(v));

v = randomSumFloat(size, 0, -5, 10);
// => [ 2.879740922080848, -0.4913386492777585, -2.3884022728030896 ] 0

console.log(v, array_sum(v));

v = randomSumFloat(size, -10, -5, 10);
// => [ -4.429865487852505, -3.5847740400416157, -1.9853604721058797 ] -10

console.log(v, array_sum(v));

export function array_sum(na: number[])
{
    return na.reduce((a, b) => a + b)
}