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Lightweight Bloom filter data structure derived from the built-in bytearray type.

Project description

Lightweight Bloom filter data structure derived from the built-in bytearray type.

PyPI version and link. travis coveralls

Package Installation and Usage

The package is available on PyPI:

python -m pip install blooms

The library can be imported in the usual ways:

import blooms
from blooms import blooms

Testing and Conventions

All unit tests are executed and their coverage is measured when using nose (see setup.cfg for configution details):

nosetests

Alternatively, all unit tests are included in the module itself and can be executed using doctest:

python blooms/blooms.py -v

Style conventions are enforced using Pylint:

pylint blooms

Contributions

In order to contribute to the source code, open an issue or submit a pull request on the GitHub page for this library.

Versioning

The version number format for this library and the changes to the library associated with version number increments conform with Semantic Versioning 2.0.0.

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