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bloom's Introduction

Bloom

Bloom is an implementation of a Bloom filter for Deno. It uses the algoritihm detailed at GeeksForGeeks.

A Bloom filter is a space-efficient probabilistic data structure, conceived by Burton Howard Bloom in 1970, that is used to test whether an element is a member of a set. False positive matches are possible, but false negatives are not โ€“ in other words, a query returns either "possibly in set" or "definitely not in set". Elements can be added to the set, but not removed (though this can be addressed with the counting Bloom filter variant); the more itemsvalue added, the larger the probability of false positives.

(Source: Wikipedia)

This module provides a standard, 'vanilla', Bloom filter implementation, as well as the couting varaint (as mentioned above).

Example:

import { BloomFilter } from "https://raw.githubusercontent.com/Jamalam360/bloom/main/mod.ts";

// number of elements: number,
// false positive probability: number (0 - 1)
// These values are used to calculate the size of
// the bit array the Bloom filter uses
const filter = new BloomFilter(10, 0.05);

console.log(filter.toBitString());
filter.add("in filter");
console.log(filter.toBitString());

console.log(filter.check("in filter"));
console.log(filter.check("not in filter"));

The above example is pulled from the main branch using GitHub Actions.

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