setup.py

import os

from setuptools import find_packages
from setuptools import setup


# Utility function to read the README file.
# Used for the long_description.  It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
def read(fname):
    return open(os.path.join(os.path.dirname(__file__), fname)).read()


def get_requirements(req_file):
    """Read requirements file and return packages and git repos separately"""
    requirements = []
    dependency_links = []
    lines = read(req_file).split("\n")
    for line in lines:
        if line.startswith("git+"):
            dependency_links.append(line)
        else:
            requirements.append(line)
    return requirements, dependency_links


REQ_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "pip-dep")
core_reqs, core_dependency_links = get_requirements(os.path.join(REQ_DIR, "requirements.txt"))
udacity_extras = read(os.path.join(REQ_DIR, "requirements_udacity.txt")).split("\n")
tensorflow_extras = read(os.path.join(REQ_DIR, "requirements_tensorflow.txt")).split("\n")
notebook_extras = read(os.path.join(REQ_DIR, "requirements_notebooks.txt")).split("\n")
dev_extras = read(os.path.join(REQ_DIR, "requirements_dev.txt")).split("\n")
sandbox_extras = ["scikit-learn>=0.21.0"]
tests_require = ["pytest", "pytest-flake8"] + sandbox_extras + notebook_extras


setup(
    name="syft",
    version="0.2.3a1",
    author="Andrew Trask",
    author_email="contact@openmined.org",
    description=("A Library for Private, Secure Deep Learning"),
    license="Apache-2.0",
    keywords="deep learning artificial intelligence privacy secure multi-party computation federated learning differential privacy",
    packages=find_packages(exclude=["docs", "examples", "dist"]),
    include_package_data=True,
    long_description=read("README.md"),
    long_description_content_type="text/markdown",
    url="https://github.com/OpenMined/PySyft",
    install_requires=core_reqs,
    extras_require={
        "udacity": udacity_extras,
        "notebooks": notebook_extras,
        "dev": dev_extras,
        "sandbox": sandbox_extras,
        "tensorflow": tensorflow_extras,
    },
    dependency_links=core_dependency_links,
    setup_requires=["pytest-runner"],
    tests_require=tests_require,
    classifiers=["Programming Language :: Python :: 3", "Operating System :: OS Independent"],
)