168 lines
5.2 KiB
Plaintext
168 lines
5.2 KiB
Plaintext
Metadata-Version: 2.1
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Name: joblib
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Version: 1.2.0
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Summary: Lightweight pipelining with Python functions
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Home-page: https://joblib.readthedocs.io
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Author: Gael Varoquaux
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Author-email: gael.varoquaux@normalesup.org
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License: BSD
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Project-URL: Source, https://github.com/joblib/joblib
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Platform: any
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Environment :: Console
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Science/Research
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Classifier: Intended Audience :: Education
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Topic :: Scientific/Engineering
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Classifier: Topic :: Utilities
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Classifier: Topic :: Software Development :: Libraries
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Requires-Python: >=3.7
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Description-Content-Type: text/x-rst
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License-File: LICENSE.txt
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|PyPi| |Azure| |ReadTheDocs| |Codecov|
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.. |PyPi| image:: https://badge.fury.io/py/joblib.svg
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:target: https://badge.fury.io/py/joblib
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:alt: Joblib version
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.. |Azure| image:: https://dev.azure.com/joblib/joblib/_apis/build/status/joblib.joblib?branchName=master
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:target: https://dev.azure.com/joblib/joblib/_build?definitionId=3&_a=summary&branchFilter=40
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:alt: Azure CI status
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.. |ReadTheDocs| image:: https://readthedocs.org/projects/joblib/badge/?version=latest
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:target: https://joblib.readthedocs.io/en/latest/?badge=latest
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:alt: Documentation Status
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.. |Codecov| image:: https://codecov.io/gh/joblib/joblib/branch/master/graph/badge.svg
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:target: https://codecov.io/gh/joblib/joblib
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:alt: Codecov coverage
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The homepage of joblib with user documentation is located on:
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https://joblib.readthedocs.io
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Getting the latest code
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=======================
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To get the latest code using git, simply type::
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git clone git://github.com/joblib/joblib.git
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If you don't have git installed, you can download a zip or tarball
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of the latest code: http://github.com/joblib/joblib/archives/master
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Installing
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==========
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You can use `pip` to install joblib::
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pip install joblib
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from any directory or::
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python setup.py install
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from the source directory.
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Dependencies
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============
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- Joblib has no mandatory dependencies besides Python (supported versions are
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3.7+).
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- Joblib has an optional dependency on Numpy (at least version 1.6.1) for array
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manipulation.
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- Joblib includes its own vendored copy of
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`loky <https://github.com/tomMoral/loky>`_ for process management.
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- Joblib can efficiently dump and load numpy arrays but does not require numpy
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to be installed.
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- Joblib has an optional dependency on
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`python-lz4 <https://pypi.python.org/pypi/lz4>`_ as a faster alternative to
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zlib and gzip for compressed serialization.
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- Joblib has an optional dependency on psutil to mitigate memory leaks in
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parallel worker processes.
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- Some examples require external dependencies such as pandas. See the
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instructions in the `Building the docs`_ section for details.
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Workflow to contribute
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======================
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To contribute to joblib, first create an account on `github
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<http://github.com/>`_. Once this is done, fork the `joblib repository
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<http://github.com/joblib/joblib>`_ to have your own repository,
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clone it using 'git clone' on the computers where you want to work. Make
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your changes in your clone, push them to your github account, test them
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on several computers, and when you are happy with them, send a pull
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request to the main repository.
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Running the test suite
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======================
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To run the test suite, you need the pytest (version >= 3) and coverage modules.
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Run the test suite using::
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pytest joblib
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from the root of the project.
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Building the docs
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=================
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To build the docs you need to have sphinx (>=1.4) and some dependencies
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installed::
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pip install -U -r .readthedocs-requirements.txt
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The docs can then be built with the following command::
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make doc
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The html docs are located in the ``doc/_build/html`` directory.
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Making a source tarball
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=======================
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To create a source tarball, eg for packaging or distributing, run the
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following command::
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python setup.py sdist
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The tarball will be created in the `dist` directory. This command will
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compile the docs, and the resulting tarball can be installed with
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no extra dependencies than the Python standard library. You will need
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setuptool and sphinx.
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Making a release and uploading it to PyPI
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=========================================
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This command is only run by project manager, to make a release, and
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upload in to PyPI::
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python setup.py sdist bdist_wheel
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twine upload dist/*
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Note that the documentation should automatically get updated at each git
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push. If that is not the case, try building th doc locally and resolve
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any doc build error (in particular when running the examples).
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Updating the changelog
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======================
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Changes are listed in the CHANGES.rst file. They must be manually updated
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but, the following git command may be used to generate the lines::
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git log --abbrev-commit --date=short --no-merges --sparse
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