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setup.py
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setup.py
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# lint as: python3
# Copyright 2021 The Ivy Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License..
# ==============================================================================
__version__ = None
import setuptools
from setuptools import setup
from pathlib import Path
from urllib import request
import os
import json
import re
def _get_paths_from_binaries(binaries, root_dir=""):
"""Get all the paths from the binaries.json into a list."""
paths = []
ext = "pyd" if os.name == "nt" else "so"
if isinstance(binaries, str):
return [os.path.join(root_dir, binaries + "." + ext)]
elif isinstance(binaries, dict):
for k, v in binaries.items():
paths += _get_paths_from_binaries(v, os.path.join(root_dir, k))
else:
for i in binaries:
paths += _get_paths_from_binaries(i, root_dir)
return paths
def _strip(line):
return line.split(" ")[0].split("#")[0].split(",")[0]
# Download all relevant binaries in binaries.json
binaries_dict = json.load(open("binaries.json"))
available_configs = json.load(open("available_configs.json"))
binaries_paths = _get_paths_from_binaries(binaries_dict)
version = os.environ.get("VERSION", "main")
fixed_tag = os.environ.get("TAG", None)
clean = os.environ.get("CLEAN", None)
terminate = False
all_tags, python_tag, plat_name, options = None, None, None, None
if fixed_tag:
python_tag, _, plat_name = str(fixed_tag).split("-")
options = {"bdist_wheel": {"python_tag": python_tag, "plat_name": plat_name}}
all_tags = [fixed_tag]
else:
from pip._vendor.packaging import tags
all_tags = list(tags.sys_tags())
# download binaries for the tag with highest precedence
for tag in all_tags:
if terminate:
break
for path in binaries_paths:
module = path.split(os.sep)[1]
if (os.path.exists(path) and not clean) or str(tag) not in available_configs[
module
]:
continue
folders = path.split(os.sep)
folder_path, file_path = os.sep.join(folders[:-1]), folders[-1]
ext = "pyd" if os.name == "nt" else "so"
file_name = f"{file_path[:-(len(ext)+1)]}_{tag}.{ext}"
search_path = f"{module}/{file_name}"
try:
response = request.urlopen(
f"https://github.com/ivy-llc/binaries/raw/{version}/{search_path}",
timeout=40,
)
os.makedirs(os.path.dirname(path), exist_ok=True)
with open(path, "wb") as f:
f.write(response.read())
terminate = path == binaries_paths[-1]
except request.HTTPError:
break
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text(encoding="utf-8")
# Remove img tags that have class "only-dark"
long_description = re.sub(
r"<img [^>]*class=\"only-dark\"[^>]*>",
"",
long_description,
flags=re.MULTILINE,
)
# Remove a tags that have class "only-dark"
long_description = re.sub(
r"<a [^>]*class=\"only-dark\"[^>]*>((?:(?!<\/a>).)|\s)*<\/a>\n",
"",
long_description,
flags=re.MULTILINE,
)
# Apply version
with open("ivy/_version.py") as f:
exec(f.read(), __version__)
setup(
name="ivy",
version=__version__,
author="Transpile AI",
author_email="contact@ivy.dev",
description="Convert Machine Learning Code Between Frameworks",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://ivy.dev",
project_urls={
"Docs": "https://docs.ivy.dev/",
"Source": "https://github.com/ivy-llc/ivy",
},
include_package_data=True,
packages=setuptools.find_packages(),
install_requires=[
_strip(line)
for line in open("requirements/requirements.txt", "r", encoding="utf-8")
],
classifiers=[],
license="End-User License Agreement for Ivy",
options=options,
)