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randomness-extractors - 1.0.0 | npmpackage.info

randomness-extractors

Extract (hopefully) almost uniform random bit from source(s) of biased and correlated bits.

1.0.0

JavaScript

1.3

Installations

npm install randomness-extractors

Developer Guide

BETA

Typescript

No

Module System

CommonJS

Node Version

8.0.0

NPM Version

5.0.0 Pull Requests

Open

0

Total

0

Closed

0

Issues

Open

0

Total

0

Closed

0

Releases

Unable to fetch releases

Languages

JavaScript

JavaScript (100%)

Developer

ycmjason

Download Statistics

Total Downloads

Last Day

Last Week

Last Month

Last Year

GitHub Statistics

21 Commits

1 Branches

1 Contributors

Updated on Jun 15, 2020

Maintainers

View All 1 Contributors

Package Meta Information

Latest Version

1.0.0

Package Id

randomness-extractors@1.0.0

Size

14.65 kB

NPM Version

5.0.0

Node Version

8.0.0

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

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Weekly Downloads

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Dependencies

lodash.chunk lodash.range pad-left-simple rye

Dev Dependencies

babel-preset-env babelify browserify mocha nist-randomness-test-suite

Randomness Extractors

Extract (hopefully) almost uniform random bit from source(s) of biased and correlated bits.

Install

npm install --save randomness-extractors

Extractors

Von Neumann's Extractor

Reference: J. Von Neumann, “Various techniques used in connection with random digits,” Applied Math Series, Notes by G. E. Forsythe, in National Bureau of Standards, Vol. 12, pp. 36-38, 1951.

1var Extractors = require('randomness-extractors');
2
3var source = [0, 0, 1, 0, 1, 1, 0, 1];
4Extractors.vonNeumannsExtractor([source]); // '10'

Inner Product Extractor

Reference: https://people.eecs.berkeley.edu/~vazirani/pubs/2com.pdf

You could do inner product of the two sources in GF(2) to extract a random bit. Optionally, you could also perform the inner product in GF(2^n), 1 <= n <= 13, to obtain n random bits.

1var Extractors = require('randomness-extractors');
2Extractors.innerProductExtractor([[0, 0, 0, 1, 1], [1, 1, 1, 1, 0]]) // '0';
3
4var source1 = [0, 0, 1, 0, 1, 1, 0, 0];
5var source2 = [1, 0, 1, 1, 0, 1, 1, 0];
6
7var n = 3; // inner-product of GF(2^3)
8Extractors.innerProductExtractor([source1, source2], n) // '001'

Browser usage

You can get the extractors by including the dist/out.js.

1...
2
3<script src="node_modules/randomness-extractors/dist/out.js"></script>
4<script>
5Extractors.innerProductExtractor([0, 0, 0, 1, 1], [1, 1, 1, 1, 0]) // '0';
6</script>
7
8...

Or you could use browsify/webpack to require the package.

Test

npm test

No vulnerabilities found.

10

Binary-Artifacts

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

0

SAST

Determines if the project uses static code analysis.

0

Maintained

Determines if the project is "actively maintained".

0

Code-Review

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

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

License

Determines if the project has defined a license.

0

Branch-Protection

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

0

Vulnerabilities

Determines if the project has open, known unfixed vulnerabilities.

Score

1.3

/10

Last Scanned on 2025-07-07

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