setup.py

# Installation script for python
import os
import re

from setuptools import find_packages, setup

PACKAGE = "qibo"


# Returns the qibo version
def get_version():
    """Gets the version from the package's __init__ file
    if there is some problem, let it happily fail"""
    VERSIONFILE = os.path.join("src", PACKAGE, "__init__.py")
    initfile_lines = open(VERSIONFILE).readlines()
    VSRE = r"^__version__ = ['\"]([^'\"]*)['\"]"
    for line in initfile_lines:
        mo = re.search(VSRE, line, re.M)
        if mo:
            return mo.group(1)


# load long description from README
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, "README.md"), encoding="utf-8") as f:
    long_description = f.read()


# read Tensorflow version requirement
BACKENDFILE = os.path.join("src", PACKAGE, "config.py")
with open(BACKENDFILE) as f:
    content = f.readlines()
    for line in content:
        if "TF_MIN_VERSION" in line:
            TF_MIN_VERSION = str(line.split()[2].replace("'", ""))
            break


setup(
    name="qibo",
    version=get_version(),
    description="A framework for quantum computing with hardware acceleration.",
    author="The Qibo team",
    author_email="",
    url="https://github.com/qiboteam/qibo",
    packages=find_packages("src"),
    package_dir={"": "src"},
    package_data={"": ["*.out", "*.yml"]},
    include_package_data=True,
    zip_safe=False,
    classifiers=[
        "Programming Language :: Python :: 3",
        "Topic :: Scientific/Engineering :: Physics",
    ],
    install_requires=[
        "scipy",
        "sympy",
        "cma",
        "joblib",
        "matplotlib",
        "psutil",
        "tabulate",
        "nlopt",
    ],
    extras_require={
        "docs": [
            "sphinx",
            "furo",
            "recommonmark",
            "sphinxcontrib-bibtex",
            "sphinx_markdown_tables",
            "nbsphinx",
            "IPython",
        ],
        "tests": [
            "pytest",
            "pytest-cov",
            "cirq",
            "ply",
            "scikit-learn",
            "dill",
        ],
    },
    python_requires=">=3.7.0",
    long_description=long_description,
    long_description_content_type="text/markdown",
)