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setup.py
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setup.py
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#!/usr/bin/env python
import glob
import os
from functools import partial
from importlib.util import module_from_spec, spec_from_file_location
from typing import Tuple
from setuptools import find_packages, setup
_PATH_ROOT = os.path.realpath(os.path.dirname(__file__))
_PATH_REQUIRE = os.path.join(_PATH_ROOT, "requirements")
def _load_py_module(fname, pkg="torchmetrics"):
spec = spec_from_file_location(os.path.join(pkg, fname), os.path.join(_PATH_ROOT, pkg, fname))
py = module_from_spec(spec)
spec.loader.exec_module(py)
return py
about = _load_py_module("__about__.py")
setup_tools = _load_py_module("setup_tools.py")
long_description = setup_tools._load_readme_description(
_PATH_ROOT,
homepage=about.__homepage__,
version=f"v{about.__version__}",
)
BASE_REQUIREMENTS = setup_tools._load_requirements(path_dir=_PATH_ROOT, file_name="requirements.txt")
def _prepare_extras(skip_files: Tuple[str] = ("devel.txt",)):
# find all extra requirements
_load_req = partial(setup_tools._load_requirements, path_dir=_PATH_REQUIRE)
found_req_files = sorted(os.path.basename(p) for p in glob.glob(os.path.join(_PATH_REQUIRE, "*.txt")))
# filter unwanted files
found_req_files = [n for n in found_req_files if n not in skip_files]
found_req_names = [os.path.splitext(req)[0] for req in found_req_files]
# define basic and extra extras
extras_req = {
name: _load_req(file_name=fname) for name, fname in zip(found_req_names, found_req_files) if "_test" not in name
}
for name, fname in zip(found_req_names, found_req_files):
if "_test" in name:
extras_req["test"] += _load_req(file_name=fname)
# filter the uniques
extras_req = {n: list(set(req)) for n, req in extras_req.items()}
# create an 'all' keyword that install all possible denpendencies
extras_req["all"] = [pkg for reqs in extras_req.values() for pkg in reqs]
return extras_req
# https://packaging.python.org/discussions/install-requires-vs-requirements /
# keep the meta-data here for simplicity in reading this file... it's not obvious
# what happens and to non-engineers they won't know to look in init ...
# the goal of the project is simplicity for researchers, don't want to add too much
# engineer specific practices
setup(
name="torchmetrics",
version=about.__version__,
description=about.__docs__,
author=about.__author__,
author_email=about.__author_email__,
url=about.__homepage__,
download_url=os.path.join(about.__homepage__, "archive", "master.zip"),
license=about.__license__,
packages=find_packages(exclude=["tests", "tests.*", "docs"]),
long_description=long_description,
long_description_content_type="text/markdown",
include_package_data=True,
zip_safe=False,
keywords=["deep learning", "machine learning", "pytorch", "metrics", "AI"],
python_requires=">=3.6",
setup_requires=[],
install_requires=BASE_REQUIREMENTS,
extras_require=_prepare_extras(),
project_urls={
"Bug Tracker": os.path.join(about.__homepage__, "issues"),
"Documentation": "https://torchmetrics.rtfd.io/en/latest/",
"Source Code": about.__homepage__,
},
classifiers=[
"Environment :: Console",
"Natural Language :: English",
# 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 :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Scientific/Engineering :: Information Analysis",
# Pick your license as you wish
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
# 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 :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
],
)