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Example code of andrewdalpino/okbloomer

Informations about the package okbloomer

Ok Bloomer

An autoscaling Bloom filter with ultra-low memory footprint for PHP. Ok Bloomer employs a novel layered filtering strategy that allows it to expand while maintaining an upper bound on the false positive rate. Each layer is comprised of a bitmap that remembers the hash signatures of the items inserted so far. If an item gets caught in the filter, then it has probably been seen before. However, if an item passes through the filter, then it definitely has never been seen before.

Installation

Install into your project using Composer:

Requirements

Bloom Filter

A probabilistic data structure that estimates the prior occurrence of a given item with a maximum false positive rate.

Parameters

# Name Default Type Description
1 maxFalsePositiveRate 0.01 float The false positive rate to remain below.
2 numHashes 4 int, null The number of hash functions used, i.e. the number of slices per layer. Set to null for auto.
3 layerSize 32000000 int The size of each layer of the filter in bits.
4 hashFn callable 'crc32' The hash function that accepts a string token and returns an integer.

Example

Testing

To run the unit tests:

Static Analysis

To run static code analysis:

Benchmarks

To run the benchmarks:

References

All versions of okbloomer with dependencies

PHP Build Version
Package Version
Requires php Version >=7.4
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