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Library for defining and working with abstract regular expressions that work with any symbol type.

Project description

Library for defining and working with abstract regular expressions that support strings/sequences with elements of any symbol type, with an emphasis on supporting scenarios in which it is necessary to work with regular expressions as abstract mathematical objects.

PyPI version and link. travis coveralls

Package Installation and Usage

The package is available on PyPI:

python -m pip install are

The library can be imported in the usual way:

import are
from are import *

Testing and Conventions

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

nosetests

The subset of the unit tests included in the module itself can be executed using doctest:

python are/are.py -v

Style conventions are enforced using Pylint:

pylint are

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

Beginning with version 0.1.0, 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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