5a5cb82537
Is it possible to remove numpy version requirements? I want to use the benchmark, but my codes are relying on some new bug fixes after `numpy>1.20`.
69 lines
1.9 KiB
Python
69 lines
1.9 KiB
Python
#####################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.05 #
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#####################################################
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"""The setup function for pypi."""
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# The following is to make nats_bench avaliable on Python Package Index (PyPI)
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#
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# conda install -c conda-forge twine # Use twine to upload nats_bench to pypi
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#
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# python setup.py sdist bdist_wheel
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# python setup.py --help-commands
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# twine check dist/*
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#
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# twine upload --repository-url https://test.pypi.org/legacy/ dist/*
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# twine upload dist/*
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# https://pypi.org/project/xautodl
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#
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# TODO(xuanyidong): upload it to conda
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#
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# [2021.06.01] v0.9.9
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# [2021.08.14] v1.0.0
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#
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import os
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from setuptools import setup, find_packages
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NAME = "xautodl"
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REQUIRES_PYTHON = ">=3.6"
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DESCRIPTION = "Automated Deep Learning Package"
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VERSION = "1.0.0"
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def read(fname="README.md"):
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with open(
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os.path.join(os.path.dirname(__file__), fname), encoding="utf-8"
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) as cfile:
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return cfile.read()
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# What packages are required for this module to be executed?
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REQUIRED = ["numpy>=1.16.5", "pyyaml>=5.0.0", "fvcore"]
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packages = find_packages(
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exclude=("tests", "scripts", "scripts-search", "lib*", "exps*")
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)
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print("packages: {:}".format(packages))
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setup(
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name=NAME,
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version=VERSION,
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author="Xuanyi Dong",
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author_email="dongxuanyi888@gmail.com",
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description=DESCRIPTION,
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license="MIT Licence",
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keywords="NAS Dataset API DeepLearning",
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url="https://github.com/D-X-Y/AutoDL-Projects",
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packages=packages,
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install_requires=REQUIRED,
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python_requires=REQUIRES_PYTHON,
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long_description=read("README.md"),
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long_description_content_type="text/markdown",
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classifiers=[
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"Programming Language :: Python",
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"Programming Language :: Python :: 3",
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"Topic :: Database",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"License :: OSI Approved :: MIT License",
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],
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)
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