setup.py

## setup.py file for roicat
from pathlib import Path

from distutils.core import setup

## Get the parent directory of this file
dir_parent = Path(__file__).parent

## Get requirements from requirements.txt
def read_requirements():
    with open(str(dir_parent / "requirements.txt"), "r") as req:
        content = req.read()  ## read the file
        requirements = content.split("\n") ## make a list of requirements split by (\n) which is the new line character

    ## Filter out any empty strings from the list
    requirements = [req for req in requirements if req]
    ## Filter out any lines starting with #
    requirements = [req for req in requirements if not req.startswith("#")]
    ## Remove any commas, quotation marks, and spaces from each requirement
    requirements = [req.replace(",", "").replace("\"", "").replace("\'", "").strip() for req in requirements]

    return requirements
deps_all = read_requirements()


## Dependencies: latest versions of requirements
### remove everything starting and after the first =,>,<,! sign
deps_names = [req.split('=')[0].split('>')[0].split('<')[0].split('!')[0] for req in deps_all]
deps_all_dict = dict(zip(deps_names, deps_all))
deps_all_latest = dict(zip(deps_names, deps_names))


## Get README.md
with open(str(dir_parent / "README.md"), "r") as f:
    readme = f.read()

## Get version number
with open(str(dir_parent / "sparse_convolution" / "__init__.py"), "r") as f:
    for line in f:
        if line.startswith("__version__"):
            version = line.split("=")[1].strip().replace("\"", "").replace("\'", "")
            break



setup(
    name='sparse_convolution',
    version=version,

    description='Sparse convolution in python using Toeplitz convolution matrix multiplication.',
    long_description=open('README.md').read(),
    long_description_content_type='text/markdown',

    # The project's main homepage.
    url='https://github.com/RichieHakim/sparse_convolution',

    # Author details
    author='Richard Hakim',
    author_email='richhakim@gmail.com',

    # Choose your license
    license='MIT',

    # Supported platforms
    platforms=['Any'],

    # 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 :: 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 :: 2.7',
        'Programming Language :: Python :: 3',
        # 'Programming Language :: Python :: 3.6',
        # 'Programming Language :: Python :: 3.7'
    ],

    # What does your project relate to?
    keywords='sparse convolution Toeplitz python',

    # You can just specify the packages manually here if your project is
    # simple. Or you can use find_packages().
    packages=['sparse_convolution'],

    # Alternatively, if you want to distribute just a my_module.py, uncomment
    # this:
    #   py_modules=["my_module"],

    # 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=list(deps_all_dict.values()),

    include_package_data=True,
)