Metadata-Version: 2.1
Name: limesqueezer
Version: 1.0.8
Summary: Lossy compression tools for smooth data series
Home-page: https://github.com/limespy/limesqueezer
Author: Limespy
Author-email: 
License: MIT
Project-URL: Changelog, https://github.com/limespy/limesqueezer/blob/master/CHANGELOG.rst
Project-URL: Issue Tracker, https://github.com/limespy/limesqueezer/issues
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Utilities
Requires-Python: >=3.8
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: matplotlib (~=3.5.1)
Requires-Dist: numba (~=0.55.1)
Requires-Dist: numpy (~=1.21.5)

========
Overview
========



Lossy compression tools for smooth data series. WIP

* Free software: MIT license

Installation
============

::

    pip install limesqueezer

You can also install the in-development version with::

    pip install https://github.com/limespy/limesqueezer/archive/master.zip


Documentation
=============


To use the project:

.. code-block:: python

    import limesqueezer
    limesqueezer.longest()


Development
===========

To run all the tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - Windows
      - ::

            set PYTEST_ADDOPTS=--cov-append
            tox

    - - Other
      - ::

            PYTEST_ADDOPTS=--cov-append tox


Changelog
=========

1.0.3 (2021-11-30)
------------------

* First release on PyPI.


