Metadata-Version: 2.1
Name: sizeof
Version: 0.2.1
Summary: Simple function for determining the memory usage of common Python values and objects.
Home-page: https://github.com/lapets/sizeof
Author: Andrei Lapets
Author-email: a@lapets.io
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/x-rst
License-File: LICENSE

======
sizeof
======

Simple function for determining the memory usage of common Python values and objects.

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

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

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

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

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

Package Installation and Usage
------------------------------
The package is available on `PyPI <https://pypi.org/project/sizeof/>`_::

    python -m pip install sizeof

The library can be imported in the usual ways::

    import sizeof
    from sizeof import sizeof

The ``sizeof`` function can be applied to any value or object. By default, the function returns the memory consumed by that value or object (and **not** by any of the objects to which it may contain references)::

    >>> from sizeof import sizeof
    >>> sizeof(123.0123)
    16

The amount of memory consumed for any given value or object is in part determined by the host architecture and the version of Python being used. The ``arch`` function can be used to determine whether the architecture is 32-bit or 64-bit::

    >>> from sizeof import arch
    >>> arch()
    32

The ``deep`` argument makes it possible to calculate the memory consumed by an object and all of it descendants by reference::

    >>> sizeof([]) # Size of an empty list.
    28
    >>> sizeof([1]), sizeof([1, 2]) # Size of reference is 4.
    (32, 36)
    >>> sizeof(3) # Size of an integer.
    14
    >>> sizeof([1, 2, 3]) == 28 + (3 * 4)
    True
    >>> sizeof([1, 2, 3], deep=True) == 28 + (3 * (4 + 14))
    True

Note that all of the examples above may lead to different results on your system and in your environment.

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

    cd docs
    python -m pip install -r requirements.txt
    sphinx-apidoc -f -E --templatedir=_templates -o _source .. ../setup.py && make html

Testing and Conventions
-----------------------
All unit tests are executed and their coverage is measured when using `nose <https://nose.readthedocs.io/>`_ (see ``setup.cfg`` for configuration details)::

    python -m pip install nose coverage
    nosetests --cover-erase

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

    python sizeof/sizeof.py -v

Style conventions are enforced using `Pylint <https://www.pylint.org/>`_::

    python -m pip install pylint
    pylint sizeof

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/sizeof>`_ 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>`_.


