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Gathering detailed insights and metrics for @l.degener/weighted-random

@l.degener/weighted-random - 0.1.0 | npmpackage.info

@l.degener/weighted-random

finite weighted random choice

0.1.0

Apache-2.0

CoffeeScript

Installations

npm install @l.degener/weighted-random

Developer Guide

BETA

Typescript

No

Module System

CommonJS

Node Version

6.9.2

NPM Version

3.10.9 Pull Requests

Open

0

Total

0

Closed

0

Issues

Open

0

Total

0

Closed

0

Releases

Unable to fetch releases

Languages

CoffeeScript

JavaScript

CoffeeScript (59.64%)

JavaScript (40.36%)

Developer

ldegen

Download Statistics

Total Downloads

Last Day

Last Week

Last Month

Last Year

GitHub Statistics

Apache-2.0 License

1 Commits

1 Watchers

1 Branches

1 Contributors

Updated on Apr 09, 2017

Maintainers

View All 1 Contributors

Package Meta Information

Latest Version

0.1.0

Package Id

@l.degener/weighted-random@0.1.0

Size

5.46 kB

NPM Version

3.10.9

Node Version

6.9.2

Total Downloads

Cumulative downloads

Total Downloads

NaN

Last Day

NaN

Compared to previous day

Last Week

NaN

Compared to previous week

Last Month

NaN

Compared to previous month

Last Year

NaN

Compared to previous year

Weekly Downloads

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Yearly Downloads

Dev Dependencies

chai chai-as-promised coffee-script mocha

weighted-random

Install

You know the drill:

npm install @ldegen/weighed-random

Usage

It works like this: You have a (finite) distribution, i.e. an array containing 'weights'. Use this to create a WeigtedRandom function that will return indices into this array.

1var WeightedRandom = require('@ldegen/weighted-random');
2
3// don't worry, weights will be normalized so that the sum up to 1.0
4var wr = WeightedRandom([0 ,12, 6, 3]);
5
6// choice will be 
7// 0  never, 
8// 1  with probability 4/7, 
9// 2  with probability 2/7 or 
10// 3  with probability 1/7 
11
12var choice = wr();

By default, WeightedRandom uses Math.random(), but you can use any parameter-less function that returns float between 0.0 (inclusive) and 1.0 (exclusive). Just pass it as second argument like this:

var wr = WeightedRandom([0 ,12, 6, Math.PI/2], myCustomMathRandomReplacement);

No vulnerabilities found.

10

Binary-Artifacts

Determines if the project has generated executable (binary) artifacts in the source repository.

10

Vulnerabilities

Determines if the project has open, known unfixed vulnerabilities.

10

License

Determines if the project has defined a license.

0

SAST

Determines if the project uses static code analysis.

0

Code-Review

Determines if the project requires human code review before pull requests (aka merge requests) are merged.

0

Maintained

Determines if the project is "actively maintained".

0

CII-Best-Practices

Determines if the project has an OpenSSF (formerly CII) Best Practices Badge.

0

Security-Policy

Determines if the project has published a security policy.

0

Fuzzing

Determines if the project uses fuzzing.

0

Branch-Protection

Determines if the default and release branches are protected with GitHub's branch protection settings.

Score

3

/10

Last Scanned on 2025-07-07

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