products


Nameproducts JSON
Version 2.0.1 PyPI version JSON
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SummarySimple function for building ensembles of iterables that are disjoint partitions of an overall Cartesian product.
upload_time2025-01-02 07:11:09
maintainerNone
docs_urlNone
authorAndrei Lapets
requires_python>=3.7
licenseMIT
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requirements No requirements were recorded.
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coveralls test coverage No coveralls.
            ========
products
========

Simple function for building ensembles of iterables that are disjoint partitions of an overall Cartesian product.

|pypi| |readthedocs| |actions| |coveralls|

.. |pypi| image:: https://badge.fury.io/py/products.svg#
   :target: https://badge.fury.io/py/products
   :alt: PyPI version and link.

.. |readthedocs| image:: https://readthedocs.org/projects/products/badge/?version=latest
   :target: https://products.readthedocs.io/en/latest/?badge=latest
   :alt: Read the Docs documentation status.

.. |actions| image:: https://github.com/lapets/products/workflows/lint-test-cover-docs/badge.svg#
   :target: https://github.com/lapets/products/actions/workflows/lint-test-cover-docs.yml
   :alt: GitHub Actions status.

.. |coveralls| image:: https://coveralls.io/repos/github/lapets/products/badge.svg?branch=main
   :target: https://coveralls.io/github/lapets/products?branch=main
   :alt: Coveralls test coverage summary.

Purpose
-------

.. |itertools_product| replace:: ``itertools.product``
.. _itertools_product: https://docs.python.org/3/library/itertools.html#itertools.product

Once the |itertools_product|_ has been used to build an iterable representing a `Cartesian product <https://en.wikipedia.org/wiki/Cartesian_product>`__, it is already too late to partition that iterable into multiple iterables where each one represents a subset of the product set. Iterables representing disjoint subsets can, for example, make it easier to employ parallelization when processing the product set.

.. |products| replace:: ``products``
.. _products: https://products.readthedocs.io/en/2.0.1/_source/products.html#products.products.products

The |products|_ function in this package constructs a list of independent `iterators <https://docs.python.org/3/glossary.html#term-iterator>`__ for a specified number of disjoint subsets of a product set (in the manner of the `parts <https://pypi.org/project/parts>`__ library), exploiting as much information as is available about the constituent factor sets of the overall product set in order to do so.

Installation and Usage
----------------------
This library is available as a `package on PyPI <https://pypi.org/project/products>`__:

.. code-block:: bash

    python -m pip install products

The library can be imported in the usual ways:

.. code-block:: python

    import products
    from products import products

Examples
^^^^^^^^

.. |product| replace:: ``product``
.. _product: https://docs.python.org/3/library/itertools.html#itertools.product

This library provides an alternative to the built-in Cartesian product function |product|_ found in `itertools <https://docs.python.org/3/library/itertools.html>`__, making it possible to iterate over multiple disjoint subsets of a Cartesian product (even in parallel). Consider the Cartesian product below:

.. code-block:: python

    >>> from itertools import product
    >>> p = product([1, 2], {'a', 'b'}, (False, True))
    >>> for t in p:
    ...     print(t)
    (1, 'a', False)
    (1, 'a', True)
    (1, 'b', False)
    (1, 'b', True)
    (2, 'a', False)
    (2, 'a', True)
    (2, 'b', False)
    (2, 'b', True)

This library makes it possible to create a number of iterators such that each iterator represents a disjoint subset of the overall Cartesian product. The example below does so for the Cartesian product introduced above, creating four disjoint subsets (rather than one overall set):

.. code-block:: python

    >>> from products import products
    >>> ss = products([1, 2], {'a', 'b'}, (True, False), number=4)
    >>> for s in ss:
    ...     print(list(s))
    [(1, 'a', True), (1, 'a', False)]
    [(1, 'b', True), (1, 'b', False)]
    [(2, 'a', True), (2, 'a', False)]
    [(2, 'b', True), (2, 'b', False)]

The `iterable <https://docs.python.org/3/glossary.html#term-iterable>`__ corresponding to each subset is *independent* from the others, making it possible to employ techniques such parallelization (*e.g.*, using the built-in `multiprocessing <https://docs.python.org/3/library/multiprocessing.html>`__ library) when operating on the elements of the overall Cartesian product.

Development
-----------
All installation and development dependencies are fully specified in ``pyproject.toml``. The ``project.optional-dependencies`` object is used to `specify optional requirements <https://peps.python.org/pep-0621>`__ for various development tasks. This makes it possible to specify additional options (such as ``docs``, ``lint``, and so on) when performing installation using `pip <https://pypi.org/project/pip>`__:

.. code-block:: bash

    python -m pip install ".[docs,lint]"

Documentation
^^^^^^^^^^^^^
The documentation can be generated automatically from the source files using `Sphinx <https://www.sphinx-doc.org>`__:

.. code-block:: bash

    python -m pip install ".[docs]"
    cd docs
    sphinx-apidoc -f -E --templatedir=_templates -o _source .. && make html

Testing and Conventions
^^^^^^^^^^^^^^^^^^^^^^^
All unit tests are executed and their coverage is measured when using `pytest <https://docs.pytest.org>`__ (see the ``pyproject.toml`` file for configuration details):

.. code-block:: bash

    python -m pip install ".[test]"
    python -m pytest

Alternatively, all unit tests are included in the module itself and can be executed using `doctest <https://docs.python.org/3/library/doctest.html>`__:

.. code-block:: bash

    python src/products/products.py -v

Style conventions are enforced using `Pylint <https://pylint.readthedocs.io>`__:

.. code-block:: bash

    python -m pip install ".[lint]"
    python -m pylint src/products

Contributions
^^^^^^^^^^^^^
In order to contribute to the source code, open an issue or submit a pull request on the `GitHub page <https://github.com/lapets/products>`__ for this library.

Versioning
^^^^^^^^^^
The version number format for this library and the changes to the library associated with version number increments conform with `Semantic Versioning 2.0.0 <https://semver.org/#semantic-versioning-200>`__.

Publishing
^^^^^^^^^^
This library can be published as a `package on PyPI <https://pypi.org/project/products>`__ via the GitHub Actions workflow found in ``.github/workflows/build-publish-sign-release.yml`` that follows the `recommendations found in the Python Packaging User Guide <https://packaging.python.org/en/latest/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/>`__.

Ensure that the correct version number appears in ``pyproject.toml``, and that any links in this README document to the Read the Docs documentation of this package (or its dependencies) have appropriate version numbers. Also ensure that the Read the Docs project for this library has an `automation rule <https://docs.readthedocs.io/en/stable/automation-rules.html>`__ that activates and sets as the default all tagged versions.

To publish the package, create and push a tag for the version being published (replacing ``?.?.?`` with the version number):

.. code-block:: bash

    git tag ?.?.?
    git push origin ?.?.?

            

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    "description": "========\nproducts\n========\n\nSimple function for building ensembles of iterables that are disjoint partitions of an overall Cartesian product.\n\n|pypi| |readthedocs| |actions| |coveralls|\n\n.. |pypi| image:: https://badge.fury.io/py/products.svg#\n   :target: https://badge.fury.io/py/products\n   :alt: PyPI version and link.\n\n.. |readthedocs| image:: https://readthedocs.org/projects/products/badge/?version=latest\n   :target: https://products.readthedocs.io/en/latest/?badge=latest\n   :alt: Read the Docs documentation status.\n\n.. |actions| image:: https://github.com/lapets/products/workflows/lint-test-cover-docs/badge.svg#\n   :target: https://github.com/lapets/products/actions/workflows/lint-test-cover-docs.yml\n   :alt: GitHub Actions status.\n\n.. |coveralls| image:: https://coveralls.io/repos/github/lapets/products/badge.svg?branch=main\n   :target: https://coveralls.io/github/lapets/products?branch=main\n   :alt: Coveralls test coverage summary.\n\nPurpose\n-------\n\n.. |itertools_product| replace:: ``itertools.product``\n.. _itertools_product: https://docs.python.org/3/library/itertools.html#itertools.product\n\nOnce the |itertools_product|_ has been used to build an iterable representing a `Cartesian product <https://en.wikipedia.org/wiki/Cartesian_product>`__, it is already too late to partition that iterable into multiple iterables where each one represents a subset of the product set. Iterables representing disjoint subsets can, for example, make it easier to employ parallelization when processing the product set.\n\n.. |products| replace:: ``products``\n.. _products: https://products.readthedocs.io/en/2.0.1/_source/products.html#products.products.products\n\nThe |products|_ function in this package constructs a list of independent `iterators <https://docs.python.org/3/glossary.html#term-iterator>`__ for a specified number of disjoint subsets of a product set (in the manner of the `parts <https://pypi.org/project/parts>`__ library), exploiting as much information as is available about the constituent factor sets of the overall product set in order to do so.\n\nInstallation and Usage\n----------------------\nThis library is available as a `package on PyPI <https://pypi.org/project/products>`__:\n\n.. code-block:: bash\n\n    python -m pip install products\n\nThe library can be imported in the usual ways:\n\n.. code-block:: python\n\n    import products\n    from products import products\n\nExamples\n^^^^^^^^\n\n.. |product| replace:: ``product``\n.. _product: https://docs.python.org/3/library/itertools.html#itertools.product\n\nThis library provides an alternative to the built-in Cartesian product function |product|_ found in `itertools <https://docs.python.org/3/library/itertools.html>`__, making it possible to iterate over multiple disjoint subsets of a Cartesian product (even in parallel). Consider the Cartesian product below:\n\n.. code-block:: python\n\n    >>> from itertools import product\n    >>> p = product([1, 2], {'a', 'b'}, (False, True))\n    >>> for t in p:\n    ...     print(t)\n    (1, 'a', False)\n    (1, 'a', True)\n    (1, 'b', False)\n    (1, 'b', True)\n    (2, 'a', False)\n    (2, 'a', True)\n    (2, 'b', False)\n    (2, 'b', True)\n\nThis library makes it possible to create a number of iterators such that each iterator represents a disjoint subset of the overall Cartesian product. The example below does so for the Cartesian product introduced above, creating four disjoint subsets (rather than one overall set):\n\n.. code-block:: python\n\n    >>> from products import products\n    >>> ss = products([1, 2], {'a', 'b'}, (True, False), number=4)\n    >>> for s in ss:\n    ...     print(list(s))\n    [(1, 'a', True), (1, 'a', False)]\n    [(1, 'b', True), (1, 'b', False)]\n    [(2, 'a', True), (2, 'a', False)]\n    [(2, 'b', True), (2, 'b', False)]\n\nThe `iterable <https://docs.python.org/3/glossary.html#term-iterable>`__ corresponding to each subset is *independent* from the others, making it possible to employ techniques such parallelization (*e.g.*, using the built-in `multiprocessing <https://docs.python.org/3/library/multiprocessing.html>`__ library) when operating on the elements of the overall Cartesian product.\n\nDevelopment\n-----------\nAll installation and development dependencies are fully specified in ``pyproject.toml``. The ``project.optional-dependencies`` object is used to `specify optional requirements <https://peps.python.org/pep-0621>`__ for various development tasks. This makes it possible to specify additional options (such as ``docs``, ``lint``, and so on) when performing installation using `pip <https://pypi.org/project/pip>`__:\n\n.. code-block:: bash\n\n    python -m pip install \".[docs,lint]\"\n\nDocumentation\n^^^^^^^^^^^^^\nThe documentation can be generated automatically from the source files using `Sphinx <https://www.sphinx-doc.org>`__:\n\n.. code-block:: bash\n\n    python -m pip install \".[docs]\"\n    cd docs\n    sphinx-apidoc -f -E --templatedir=_templates -o _source .. && make html\n\nTesting and Conventions\n^^^^^^^^^^^^^^^^^^^^^^^\nAll unit tests are executed and their coverage is measured when using `pytest <https://docs.pytest.org>`__ (see the ``pyproject.toml`` file for configuration details):\n\n.. code-block:: bash\n\n    python -m pip install \".[test]\"\n    python -m pytest\n\nAlternatively, all unit tests are included in the module itself and can be executed using `doctest <https://docs.python.org/3/library/doctest.html>`__:\n\n.. code-block:: bash\n\n    python src/products/products.py -v\n\nStyle conventions are enforced using `Pylint <https://pylint.readthedocs.io>`__:\n\n.. code-block:: bash\n\n    python -m pip install \".[lint]\"\n    python -m pylint src/products\n\nContributions\n^^^^^^^^^^^^^\nIn order to contribute to the source code, open an issue or submit a pull request on the `GitHub page <https://github.com/lapets/products>`__ for this library.\n\nVersioning\n^^^^^^^^^^\nThe version number format for this library and the changes to the library associated with version number increments conform with `Semantic Versioning 2.0.0 <https://semver.org/#semantic-versioning-200>`__.\n\nPublishing\n^^^^^^^^^^\nThis library can be published as a `package on PyPI <https://pypi.org/project/products>`__ via the GitHub Actions workflow found in ``.github/workflows/build-publish-sign-release.yml`` that follows the `recommendations found in the Python Packaging User Guide <https://packaging.python.org/en/latest/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/>`__.\n\nEnsure that the correct version number appears in ``pyproject.toml``, and that any links in this README document to the Read the Docs documentation of this package (or its dependencies) have appropriate version numbers. 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