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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 importlib.util import module_from_spec, spec_from_file_location
from pathlib import Path
from pkg_resources import parse_requirements
from setuptools import find_packages, setup
_PATH_ROOT = os.path.dirname(__file__)
_PATH_REQUIRES = os.path.join(_PATH_ROOT, "requirements")
# check if os env. variable is set to convert version to nightly
_CONVERT_VERSION = int(os.environ.get("CONVERT_VERSION2NIGHTLY", 0))
def _load_py_module(fname, pkg="thunder"):
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
def convert_version2nightly(about_file: str = "thunder/__about__.py") -> None:
"""Load the actual version and convert it to the nightly version."""
from datetime import datetime
# load the about file
with open(about_file) as fo:
lines = fo.readlines()
idx = None
# find the line with version
for i, ln in enumerate(lines):
if ln.startswith("__version__"):
idx = i
break
if idx is None:
raise ValueError("The version is not found in the `__about__.py` file.")
# parse the version from variable assignment
version = lines[idx].split("=")[1].strip().strip('"')
# parse X.Y.Z version and prune any suffix
vers = re.match(r"(\d+)\.(\d+)\.(\d+).*", version)
# create timestamp YYYYMMDD
timestamp = datetime.now().strftime("%Y%m%d")
version = f"{'.'.join(vers.groups())}.dev{timestamp}"
# print the new version
lines[idx] = f'__version__ = "{version}"\n'
# dump updated lines
with open(about_file, "w") as fo:
fo.writelines(lines)
def _load_requirements(path_dir: str, file_name: str = "requirements.txt") -> list:
reqs = parse_requirements(open(os.path.join(path_dir, file_name)).readlines())
return [r for r in list(map(str, reqs)) if "@" not in r]
def _prepare_extras(
requirements_dir: str = _PATH_REQUIRES, skip_files: tuple = ("base.txt", "devel.txt", "docs.txt")
) -> dict:
# https://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-extras
# Define package extras. These are only installed if you specify them.
# From remote, use like `pip install pytorch-lightning[dev, docs]`
# From local copy of repo, use like `pip install ".[dev, docs]"`
req_files = [Path(p) for p in glob.glob(os.path.join(requirements_dir, "*.txt"))]
extras = {
p.stem: _load_requirements(file_name=p.name, path_dir=str(p.parent))
for p in req_files
if p.name not in skip_files
}
# todo: eventual some custom aggregations
extras = {name: sorted(set(reqs)) for name, reqs in extras.items()}
print("The extras are: ", extras)
return extras
def _load_readme_description(path_dir: str, homepage: str, version: str) -> str:
"""Load readme as decribtion."""
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/lightning-thunder/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/')}")
return text
if _CONVERT_VERSION:
convert_version2nightly()
about = _load_py_module("__about__.py")
# 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.
setup(
name="lightning-thunder",
version=about.__version__,
description=about.__docs__,
author=about.__author__,
author_email=about.__author_email__,
url=about.__homepage__,
download_url="https://github.com/Lightning-AI/lightning-thunder",
license=about.__license__,
packages=find_packages(exclude=["thunder/tests", "docs"]),
long_description=_load_readme_description(
path_dir=_PATH_ROOT, homepage=about.__homepage__, version=about.__version__
),
long_description_content_type="text/markdown",
include_package_data=True,
zip_safe=False,
keywords=["deep learning", "AI"],
python_requires=">=3.10, <3.13",
setup_requires=["wheel"],
install_requires=_load_requirements(_PATH_REQUIRES, file_name="base.txt"),
extras_require=_prepare_extras(),
project_urls={
"Bug Tracker": "https://github.com/Lightning-AI/lightning-thunder/issues",
"Documentation": "https://lightning-thunder.rtfd.io/en/latest/",
"Source Code": "https://github.com/Lightning-AI/lightning-thunder",
},
classifiers=[
"Environment :: Console",
"Natural Language :: English",
# How mature is this project? Common values are
# 3 - Alpha, 4 - Beta, 5 - Production/Stable
"Development Status :: 3 - Alpha",
# Indicate who your project is intended for
"Intended Audience :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"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 :: 3.10",
],
)