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setup.py
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setup.py
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"""Setup for crowdastro.
Based on the setup script from https://github.com/pypa/sampleproject.
Matthew Alger
The Australian National University
2016
"""
from setuptools import setup, find_packages
from os import path
from crowdastro import __description__, __version__
here = path.abspath(path.dirname(__file__))
# Load README for long descriptions.
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='crowdastro',
version=__version__,
description=__description__,
long_description=long_description,
url='https://github.com/chengsoonong/crowdastro',
# Setup scripts don't support multiple authors, so this should be the main
# author or the author that should be contacted regarding the module.
author='Matthew Alger',
author_email='matthew.alger@anu.edu.au',
license='MIT',
classifiers=[
# https://pypi.python.org/pypi?%3Aaction=list_classifiers
'Development Status :: 3 - Alpha',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Astronomy',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
],
keywords='machine-learning radio astronomy classification',
packages=['crowdastro', 'crowdastro.crowd', 'crowdastro.experiment', 'crowdastro.active_learning'],
# Should be kept in sync with requirements.txt.
install_requires=[
'astropy',
'h5py',
'keras',
'matplotlib',
'numpy',
'pandas',
'pymongo',
'requests',
'scikit-learn',
'scipy',
],
extras_require={
'dev': ['scikit-image'],
'test': [],
},
package_dir={
'crowdastro': 'crowdastro',
},
package_data={
'crowdastro': ['../README.rst', 'crowdastro.json'],
},
entry_points={
'console_scripts': [
'crowdastro = crowdastro.__main__:main',
],
},
)