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.
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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