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setup.py
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# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
setup(
name='cmapPy',
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version='3.3.3',
description='Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools',
long_description="cmapPy: Tools for interacting with .gctx and .gct files, and other Connectivity Map resources. See our documentation at http://cmappy.readthedocs.io/en/latest/, and for more information on the file formats and available resources, please see clue.io/gctx.",
# The project's main homepage.
url='https://github.com/cmap/cmapPy',
# Author details
maintainer='Oana Enache',
maintainer_email='[email protected]',
# Choose your license
license='BSD 3-clause',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 5 - Production/Stable',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Bio-Informatics',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: BSD License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7'
],
# What does your project relate to?
keywords='gct gctx file-manipulation Connectivity Map CMap Broad Institute',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['contrib','docs','tutorials', 'tests', 'performance_testing']),
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=['numpy>=1.11.2', 'pandas>=0.18', 'h5py>=2.6.0', 'requests>=2.13.0', 'six'],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
extras_require={},
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
#package_data={},
include_package_data=True, # reads these from MANIFEST.in
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
data_files=[],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
entry_points={'console_scripts': ['gctx2gct=cmapPy.pandasGEXpress.gctx2gct:main', 'gct2gctx=cmapPy.pandasGEXpress.gct2gctx:main',
'concat=cmapPy.pandasGEXpress.concat:main', 'subset=cmapPy.pandasGEXpress.subset:main']},
tests_require=['unittest']
)