Metadata-Version: 2.1
Name: pyconversations-hunter.heiden
Version: 0.0.2
Summary: A package for representing conversations as DAGs for visualization, analysis, and pre-processing.
Home-page: https://github.com/hunter-heidenreich/pyconversations
Author: Hunter Scott Heidenreich
Author-email: hunter.scott.heidenreich@gmail.com
License: MIT
Project-URL: Documentation, https://pyconversations.readthedocs.io/
Project-URL: Changelog, https://pyconversations.readthedocs.io/en/latest/changelog.html
Project-URL: Issue Tracker, https://github.com/hunter-heidenreich/pyconversations/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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Utilities
Requires-Python: >=3.6
License-File: LICENSE
License-File: AUTHORS.rst

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



A package for representing conversations as DAGs for visualization, analysis, and pre-processing.

* Free software: MIT license

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

::

    pip install pyconversations

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

    pip install https://github.com/hunter-heidenreich/pyconversations/archive/master.zip


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


https://pyconversations.readthedocs.io/


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
=========

0.0.1 (2021-06-30)
------------------

* Stable first release on PyPI, with properly formatted and distributable dependencies.
* Jupyter Notebook tutorials

0.0.0 (2021-05-30)
------------------

* First release on PyPI.


