Skip to main content

Narmer Experimental NLP/IR library for Python

Project description

Coverage Status Code Climate Pylint Score PEP8 Errors PyPI Documentation Status 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

Project details


Release history Release notifications

This version
History Node

0.1.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
narmer-0.1.1-py2.7.egg (11.1 kB) Copy SHA256 hash SHA256 Egg 2.7 May 13, 2015
narmer-0.1.1-py2.py3-none-any.whl (8.1 kB) Copy SHA256 hash SHA256 Wheel py2.py3 May 13, 2015
narmer-0.1.1-py3.4.egg (11.3 kB) Copy SHA256 hash SHA256 Egg 3.4 May 13, 2015
narmer-0.1.1.tar.gz (18.6 kB) Copy SHA256 hash SHA256 Source None May 13, 2015

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page