python-flow/setup.py at main · FELT-Labs/python-flow · GitHub

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"""FELT python package intended for running federated learning on Ocean protocol.

It's mainly for running federated learning using python

Entry commands:

```bash
felt-flow
```
"""
import re
from pathlib import Path

from setuptools import find_packages, setup

PATH = Path(__file__).parent.absolute()
DOCLINES = (__doc__ or "").split("\n")

CLASSIFIERS = """\
Intended Audience :: Science/Research
Intended Audience :: Developers
Programming Language :: Python
Programming Language :: Python :: 3
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.10
Programming Language :: Python :: 3 :: Only
Topic :: Scientific/Engineering
"""


def parse_requirements(file_name):
    """
    from:
        http://cburgmer.posterous.com/pip-requirementstxt-and-setuppy
    """
    requirements = []
    with open(file_name, "r") as f:
        for line in f:
            if re.match(r"(\s*#)|(\s*$)", line):
                continue
            if re.match(r"\s*-e\s+", line):
                requirements.append(
                    re.sub(r"\s*-e\s+.*#egg=(.*)$", r"\1", line).strip()
                )
            elif re.match(r"\s*-f\s+", line):
                pass
            else:
                requirements.append(line.strip())
    return requirements


requirements = parse_requirements(PATH / "requirements.txt")


setup(
    name="feltflow",
    version="0.2.0",
    packages=find_packages(),
    maintainer="FELT Labs",
    maintainer_email="support@feltlabs.ai",
    description=DOCLINES[0],
    long_description="\n".join(DOCLINES[2:]),
    long_description_content_type="text/markdown",
    keywords=["Federated Learning", "Web3", "Machine Learning"],
    url="https://feltlabs.ai/",
    author="FELT Labs",
    project_urls={
        "Bug Tracker": "https://github.com/FELT-Labs/python-flow/issues",
        "Documentation": "https://docs.feltlabs.ai/",
        "Source Code": "https://github.com/FELT-Labs/python-flow",
    },
    license="GPL-3.0 License",
    classifiers=[_f for _f in CLASSIFIERS.split("\n") if _f],
    platforms=["Windows", "Linux", "Solaris", "Mac OS-X", "Unix"],
    python_requires=">=3.8",
    install_requires=requirements,
    zip_safe=False,
    entry_points={
        "console_scripts": [
            "felt-flow = feltflow.training:main",
        ],
    },
)