mirror of
https://github.com/Stone-Red-Code/dvc.git
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* completion: use new simpler `shtab` API * completion: use FILE|DIR
177 lines
5.4 KiB
Python
177 lines
5.4 KiB
Python
import importlib.util
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import os
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import sys
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from setuptools import find_packages, setup
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from setuptools.command.build_py import build_py as _build_py
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# Prevents pkg_resources import in entry point script,
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# see https://github.com/ninjaaron/fast-entry_points.
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# This saves about 200 ms on startup time for non-wheel installs.
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try:
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import fastentrypoints # noqa: F401, pylint: disable=unused-import
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except ImportError:
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pass # not able to import when installing through pre-commit
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# Read package meta-data from version.py
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# see https://packaging.python.org/guides/single-sourcing-package-version/
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pkg_dir = os.path.dirname(os.path.abspath(__file__))
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version_path = os.path.join(pkg_dir, "dvc", "version.py")
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spec = importlib.util.spec_from_file_location("dvc.version", version_path)
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dvc_version = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(dvc_version)
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version = dvc_version.__version__ # noqa: F821
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# To achieve consistency between the build version and the one provided
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# by your package during runtime, you need to **pin** the build version.
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#
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# This custom class will replace the version.py module with a **static**
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# `__version__` that your package can read at runtime, assuring consistency.
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#
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# References:
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# - https://docs.python.org/3.7/distutils/extending.html
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# - https://github.com/python/mypy
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class build_py(_build_py):
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def pin_version(self):
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path = os.path.join(self.build_lib, "dvc")
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self.mkpath(path)
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with open(os.path.join(path, "version.py"), "w") as fobj:
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fobj.write("# AUTOGENERATED at build time by setup.py\n")
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fobj.write('__version__ = "{}"\n'.format(version))
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def run(self):
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self.execute(self.pin_version, ())
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_build_py.run(self)
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install_requires = [
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"ply>=3.9", # See https://github.com/pyinstaller/pyinstaller/issues/1945
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"colorama>=0.3.9",
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"configobj>=5.0.6",
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"gitpython>3",
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"setuptools>=34.0.0",
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"nanotime>=0.5.2",
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"pyasn1>=0.4.1",
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"voluptuous>=0.11.7",
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"jsonpath-ng>=1.5.1",
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"requests>=2.22.0",
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"grandalf==0.6",
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"distro>=1.3.0",
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"appdirs>=1.4.3",
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"PyYAML>=5.1.2,<5.4", # Compatibility with awscli
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"ruamel.yaml>=0.16.1",
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"funcy>=1.14",
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"pathspec>=0.6.0",
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"shortuuid>=0.5.0",
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"tqdm>=4.45.0,<5",
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"packaging>=19.0",
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"zc.lockfile>=1.2.1",
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"flufl.lock>=3.2,<4",
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"win-unicode-console>=0.5; sys_platform == 'win32'",
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"pywin32>=225; sys_platform == 'win32'",
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"networkx>=2.1,<2.4",
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"pydot>=1.2.4",
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"speedcopy>=2.0.1; python_version < '3.8' and sys_platform == 'win32'",
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"flatten_json>=0.1.6",
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"tabulate>=0.8.7",
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"pygtrie==2.3.2",
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"dpath>=2.0.1,<3",
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"shtab>=1.1.0,<2",
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]
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# Extra dependencies for remote integrations
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gs = ["google-cloud-storage==1.19.0"]
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gdrive = ["pydrive2>=1.4.14"]
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s3 = ["boto3>=1.9.201"]
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azure = ["azure-storage-blob==2.1.0", "knack"]
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oss = ["oss2==2.6.1"]
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ssh = ["paramiko>=2.5.0"]
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hdfs = ["pyarrow>=0.17.0"]
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# gssapi should not be included in all_remotes, because it doesn't have wheels
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# for linux and mac, so it will fail to compile if user doesn't have all the
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# requirements, including kerberos itself. Once all the wheels are available,
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# we can start shipping it by default.
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ssh_gssapi = ["paramiko[gssapi]>=2.5.0"]
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all_remotes = gs + s3 + azure + ssh + oss + gdrive + hdfs
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# Extra dependecies to run tests
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tests_requirements = [
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"wheel>=0.31.1",
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# Test requirements:
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"pytest>=4.6.0",
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"pytest-timeout>=1.3.3",
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"pytest-cov>=2.6.1",
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"pytest-xdist>=1.26.1",
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"pytest-mock==1.11.2",
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"pytest-lazy-fixture",
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"flaky>=3.5.3",
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"mock>=3.0.0",
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"xmltodict>=0.11.0",
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"awscli>=1.16.297",
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"google-compute-engine==2.8.13",
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"Pygments", # required by collective.checkdocs,
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"collective.checkdocs",
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"flake8==3.7.9",
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"psutil",
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"flake8-docstrings",
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"pydocstyle<4.0",
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"jaraco.windows==3.9.2",
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"mock-ssh-server>=0.8.2",
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"moto==1.3.14.dev464",
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"rangehttpserver==1.2.0",
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"beautifulsoup4==4.4.0",
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"flake8-bugbear",
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"flake8-comprehensions",
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"flake8-string-format",
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"pylint",
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"pylint-pytest",
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"pylint-plugin-utils",
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]
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if (sys.version_info) >= (3, 6):
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tests_requirements.append("black==19.10b0")
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setup(
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name="dvc",
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version=version,
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description="Git for data scientists - manage your code and data together",
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long_description=open("README.rst", "r").read(),
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author="Dmitry Petrov",
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author_email="[email protected]",
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download_url="https://github.com/iterative/dvc",
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license="Apache License 2.0",
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install_requires=install_requires,
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extras_require={
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"all": all_remotes,
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"gs": gs,
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"gdrive": gdrive,
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"s3": s3,
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"azure": azure,
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"oss": oss,
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"ssh": ssh,
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"ssh_gssapi": ssh_gssapi,
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"hdfs": hdfs,
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"tests": tests_requirements,
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},
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keywords="data-science data-version-control machine-learning git"
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" developer-tools reproducibility collaboration ai",
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python_requires=">=3.6",
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classifiers=[
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"Development Status :: 4 - Beta",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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],
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packages=find_packages(exclude=["tests"]),
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include_package_data=True,
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url="http://dvc.org",
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entry_points={"console_scripts": ["dvc = dvc.main:main"]},
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cmdclass={"build_py": build_py},
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zip_safe=False,
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)
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