Metadata-Version: 1.1
Name: narmer
Version: 0.1.1
Summary: Narmer Experimental NLP/IR library for Python
Home-page: https://github.com/chrislit/narmer
Author: Christopher C. Little
Author-email: chrisclittle+narmer@gmail.com
License: GPLv3+
Download-URL: https://github.com/chrislit/narmer/archive/master.zip
Description: Narmer
        ======
        
        .. image:: https://travis-ci.org/chrislit/narmer.svg
            :target: https://travis-ci.org/chrislit/narmer
        
        .. image:: https://coveralls.io/repos/chrislit/narmer/badge.svg
            :target: https://coveralls.io/r/chrislit/narmer
            :alt: Coverage Status
        
        .. image:: https://codeclimate.com/github/chrislit/narmer/badges/gpa.svg
           :target: https://codeclimate.com/github/chrislit/narmer
           :alt: Code Climate
        
        .. image:: https://img.shields.io/badge/Pylint-10.0/10-brightgreen.svg
            :alt: Pylint Score
        
        .. image:: https://img.shields.io/badge/PEP8-0-brightgreen.svg
            :alt: PEP8 Errors
        
        .. image:: https://img.shields.io/pypi/v/narmer.svg
            :target: https://pypi.python.org/pypi/narmer
            :alt: PyPI
        
        .. image:: https://readthedocs.org/projects/narmer/badge/?version=latest
            :target: https://readthedocs.org/projects/narmer/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://www.openhub.net/p/narmer/widgets/project_thin_badge.gif
            :target: https://www.openhub.net/p/narmer
            :alt: OpenHUB
        
        |
        
        |
        | Narmer Experimental NLP/IR library
        | Copyright 2015 by Christopher C. Little
        
        This library contains code I'm using for research, in particular dissertation research & experimentation.
        
        Suggested for testing & QA:
        
        - Nose        (for unit testing)
        - coverage.py (for code coverage checking)
        - Pylint      (for code quality checking)
        - PEP8        (for code quality checking)
        
        -----
        
        To install from PyPI:
        
        ::
        
            pip install narmer
        
        To build/install/unittest in Python 2:
        
        ::
        
            sudo python setup.py install
            nosetests -v --with-coverage --cover-erase --cover-html --cover-branches --cover-package=abydos .
        
        To build/install/unittest in Python 3:
        
        ::
        
            sudo python3 setup.py install
            nosetests3 -v --with-coverage --cover-erase --cover-html --cover-branches --cover-package=abydos .
        
        For pylint testing, run:
        
        ::
        
            pylint --rcfile=pylint.rc abydos > pylint.log
        
        
        Release History
        ---------------
        
        0.1.0 (2015-04-22)
        ++++++++++++++++++
        
        First Pre-Alpha commits to GitHub
        
        
        0.1.1 (2015-05-12)
        ++++++++++++++++++
        
        First Alpha release to PyPI
        
        
        
        
        Authors
        ```````
        
        - Christopher C. Little (`@chrislit <https://github.com/chrislit>`_) <chrisclittle+narmer@gmail.com>
        
Keywords: nlp,ai,ir,language,linguistics,phonetic algorithms
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Text Processing :: Linguistic
