setup.py

fromsetuptoolsimportsetup, find_packages
fromcodecsimportopen
fromosimportpath

__version__='0.0.1'

here=path.abspath(path.dirname(__file__))

# Get the long description from the README file
withopen(path.join(here, 'README.md'), encoding='utf-8') asf:
long_description=f.read()

# get the dependencies and installs
withopen(path.join(here, 'requirements.txt'), encoding='utf-8') asf:
all_reqs=f.read().split('\n')

install_requires= [x.strip() forxinall_reqsif'git+'notinx]
dependency_links= [x.strip().replace('git+', '') forxinall_reqsifx.startswith('git+')]

setup(
name='mla',
version=__version__,
description='A collection of minimal and clean implementations of machine learning algorithms.',
long_description=long_description,
url='https://github.com/rushter/mla',
download_url='https://github.com/rushter/mla/tarball/'+__version__,
license='MIT',
packages=find_packages(exclude=['docs', 'tests*']),
include_package_data=True,
author='Artem Golubin',
install_requires=install_requires,
setup_requires=['numpy>=1.10', 'scipy>=0.17'],
dependency_links=dependency_links,
author_email='gh@rushter.com'
)