setup.py

#! /usr/bin/env python
# -*- coding: utf-8 -*-

# Fallowing command is used to upload to pipy
#    python setup.py register sdist upload

# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from os import path

here = path.abspath(path.dirname(__file__))
setup(
    name="bodyposition",
    description="Segmentation of signed distance fields in anatomy using neural networks.",
    # Versions should comply with PEP440.  For a discussion on single-sourcing
    # the version across setup.py and the project code, see
    # # http://packaging.python.org/en/latest/tutorial.html#version
    version='0.0.9',
    url="https://github.com/mjirik/bodyposition",
    author=["Vaclav Javorek", "Miroslav Jirik"],
    author_email=["javorek@students.zcu.cz", "miroslav.jirik@gmail.com"],
    license="MIT",
    # 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 :: 3 - Alpha",
        # Indicate who your project is intended for
        "Intended Audience :: Developers",
        "Topic :: Scientific/Engineering :: Bio-Informatics",
        # Pick your license as you wish (should match "license" above)
        "License :: OSI Approved :: MIT 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 :: 2.6',
        # "Programming Language :: Python :: 2.7",
        # 'Programming Language :: Python :: 3',
        # 'Programming Language :: Python :: 3.2',
        # 'Programming Language :: Python :: 3.3',
        "Programming Language :: Python :: 3.7",
    ],
    # What does your project relate to?
    keywords="medicine segmentation computervision convolutional neural networks u-net",
    # 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', 'tests*']),
    # 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/technical.html#install-requires-vs-requirements-files
    install_requires=[
        # 'matplotlib',
        # 'scipy', "PyQt4",
        # - python
        # - matplotlib
        # - pyyaml
        # - scipy
        # - nose
        # - pyqt 4.11.*
        # fallowing lines are requred by conda
        #         'nose',
    ],
    # tests_require=['nose', ],
    # test_suite='nose.collector',
    # 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={
    #     'sample': ['package_data.dat'],
    # },
    # 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=[('my_data', ['data/data_file'])],
    # 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': [
    #         'sample=sample:main',
    #     ],
    # },
)