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setup.py
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setup.py
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#!/usr/bin/env python
import glob
import os
import re
from functools import partial
from importlib.util import module_from_spec, spec_from_file_location
from itertools import chain
from pathlib import Path
from typing import Any, Iterable, Iterator, List, Optional, Tuple, Union
from pkg_resources import Requirement, yield_lines
from setuptools import find_packages, setup
_PATH_ROOT = os.path.realpath(os.path.dirname(__file__))
_PATH_SOURCE = os.path.join(_PATH_ROOT, "src")
_PATH_REQUIRE = os.path.join(_PATH_ROOT, "requirements")
_FREEZE_REQUIREMENTS = bool(int(os.environ.get("FREEZE_REQUIREMENTS", 0)))
class _RequirementWithComment(Requirement):
strict_string = "# strict"
def __init__(self, *args: Any, comment: str = "", pip_argument: Optional[str] = None, **kwargs: Any) -> None:
super().__init__(*args, **kwargs)
self.comment = comment
assert pip_argument is None or pip_argument # sanity check that it's not an empty str
self.pip_argument = pip_argument
self.strict = self.strict_string in comment.lower()
def adjust(self, unfreeze: bool) -> str:
"""Remove version restrictions unless they are strict.
>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# anything").adjust(False)
'arrow<=1.2.2,>=1.2.0'
>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# strict").adjust(False)
'arrow<=1.2.2,>=1.2.0 # strict'
>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# my name").adjust(True)
'arrow>=1.2.0'
>>> _RequirementWithComment("arrow>=1.2.0, <=1.2.2", comment="# strict").adjust(True)
'arrow<=1.2.2,>=1.2.0 # strict'
>>> _RequirementWithComment("arrow").adjust(True)
'arrow'
"""
out = str(self)
if self.strict:
return f"{out} {self.strict_string}"
if unfreeze:
for operator, version in self.specs:
if operator in ("<", "<="):
# drop upper bound
return out.replace(f"{operator}{version},", "")
return out
def _parse_requirements(strs: Union[str, Iterable[str]]) -> Iterator[_RequirementWithComment]:
r"""Adapted from `pkg_resources.parse_requirements` to include comments.
>>> txt = ['# ignored', '', 'this # is an', '--piparg', 'example', 'foo # strict', 'thing', '-r different/file.txt']
>>> [r.adjust('none') for r in _parse_requirements(txt)]
['this', 'example', 'foo # strict', 'thing']
>>> txt = '\\n'.join(txt)
>>> [r.adjust('none') for r in _parse_requirements(txt)]
['this', 'example', 'foo # strict', 'thing']
"""
lines = yield_lines(strs)
pip_argument = None
for line in lines:
# Drop comments -- a hash without a space may be in a URL.
if " #" in line:
comment_pos = line.find(" #")
line, comment = line[:comment_pos], line[comment_pos:]
else:
comment = ""
# If there is a line continuation, drop it, and append the next line.
if line.endswith("\\"):
line = line[:-2].strip()
try:
line += next(lines)
except StopIteration:
return
if "@" in line or re.search("https?://", line):
# skip lines with links like `pesq @ git+https://github.com/ludlows/python-pesq`
continue
# If there's a pip argument, save it
if line.startswith("--"):
pip_argument = line
continue
if line.startswith("-r "):
# linked requirement files are unsupported
continue
yield _RequirementWithComment(line, comment=comment, pip_argument=pip_argument)
pip_argument = None
def _load_requirements(
path_dir: str, file_name: str = "requirements.txt", unfreeze: bool = not _FREEZE_REQUIREMENTS
) -> List[str]:
"""Load requirements from a file.
>>> _load_requirements(_PATH_ROOT)
['numpy...', 'torch..."]
"""
path = Path(path_dir) / file_name
assert path.exists(), (path_dir, file_name, path)
text = path.read_text()
return [req.adjust(unfreeze) for req in _parse_requirements(text)]
def _load_readme_description(path_dir: str, homepage: str, version: str) -> str:
"""Load readme as decribtion.
>>> _load_readme_description(_PATH_ROOT, "", "")
'<div align="center">...'
"""
path_readme = os.path.join(path_dir, "README.md")
with open(path_readme, encoding="utf-8") as fp:
text = fp.read()
# https://github.com/Lightning-AI/torchmetrics/raw/master/docs/source/_static/images/lightning_module/pt_to_pl.png
github_source_url = os.path.join(homepage, "raw", version)
# replace relative repository path to absolute link to the release
# do not replace all "docs" as in the readme we replace some other sources with particular path to docs
text = text.replace("docs/source/_static/", f"{os.path.join(github_source_url, 'docs/source/_static/')}")
# readthedocs badge
text = text.replace("badge/?version=stable", f"badge/?version={version}")
text = text.replace("torchmetrics.readthedocs.io/en/stable/", f"torchmetrics.readthedocs.io/en/{version}")
# codecov badge
text = text.replace("/branch/master/graph/badge.svg", f"/release/{version}/graph/badge.svg")
# replace github badges for release ones
text = text.replace("badge.svg?branch=master&event=push", f"badge.svg?tag={version}")
# Azure...
text = text.replace("?branchName=master", f"?branchName=refs%2Ftags%2F{version}")
text = re.sub(r"\?definitionId=\d+&branchName=master", f"?definitionId=2&branchName=refs%2Ftags%2F{version}", text)
skip_begin = r"<!-- following section will be skipped from PyPI description -->"
skip_end = r"<!-- end skipping PyPI description -->"
# todo: wrap content as commented description
return re.sub(rf"{skip_begin}.+?{skip_end}", "<!-- -->", text, flags=re.IGNORECASE + re.DOTALL)
def _load_py_module(fname, pkg="torchmetrics"):
spec = spec_from_file_location(os.path.join(pkg, fname), os.path.join(_PATH_SOURCE, pkg, fname))
py = module_from_spec(spec)
spec.loader.exec_module(py)
return py
ABOUT = _load_py_module("__about__.py")
LONG_DESCRIPTION = _load_readme_description(
_PATH_ROOT,
homepage=ABOUT.__homepage__,
version=f"v{ABOUT.__version__}",
)
BASE_REQUIREMENTS = _load_requirements(path_dir=_PATH_ROOT, file_name="requirements.txt")
def _prepare_extras(skip_files: Tuple[str] = ("devel.txt", "doctest.txt", "integrate.txt", "docs.txt")):
# find all extra requirements
_load_req = partial(_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 dependencies
extras_req["all"] = list(chain([pkgs for k, pkgs in extras_req.items() if k not in ("test", "docs")]))
extras_req["dev"] = extras_req["all"] + extras_req["test"]
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
if __name__ == "__main__":
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(where="src"),
package_dir={"": "src"},
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=">=3.7",
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 :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
)