Metadata-Version: 2.1
Name: cobaya_utilities
Version: 0.1.2
Summary: A set of functions to deal with MCMC output from cobaya
Home-page: https://github.com/xgarrido/cobaya_utilities.git
Author: Xavier Garrido
Author-email: xavier.garrido@lal.in2p3.fr
Keywords: cobaya,MCMC,plot
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Education
Requires-Python: >=3.8
Description-Content-Type: text/x-rst

==================
 Cobaya utilities
==================

A set of tools to deal with MCMC chains and a complement to `cobaya
<https://github.com/CobayaSampler/cobaya>`_ and `getdist <https://github.com/cmbant/getdist>`_.

.. image:: https://img.shields.io/pypi/v/cobaya-utilities.svg?style=flat
   :target: https://pypi.python.org/pypi/cobaya-utilities

.. image:: https://img.shields.io/github/workflow/status/xgarrido/cobaya_utilities/Unit%20test
   :target: https://github.com/xgarrido/cobaya_utilities/actions

.. image:: https://readthedocs.org/projects/cobaya-utilities/badge/?version=latest
   :target: https://cobaya-utilities.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

.. image:: https://mybinder.org/badge_logo.svg
   :target: https://mybinder.org/v2/gh/xgarrido/cobaya_utilities/master


.. image:: https://codecov.io/gh/xgarrido/cobaya_utilities/branch/master/graph/badge.svg?token=qrrVcbNCs5
   :target: https://codecov.io/gh/xgarrido/cobaya_utilities


Installing the code
-------------------

The easiest way to install the module is

.. code:: shell

    $ pip install [--user] cobaya-utilities

If you plan to made some modifications, to improve or to correct some bugs, then you need to clone
the following repository

.. code:: shell

    $ git clone https://github.com/xgarrido/cobaya_utilities.git /where/to/clone

Then you can install the code and its dependencies *via*

.. code:: shell

    $ pip install -e [--user] /where/to/clone


Running/testing the code
------------------------

You can test the ``cobaya_utilities`` module (assuming you have ``pytest`` installed) by doing

.. code:: shell

    $ pytest


.. end_before_documentation

Documentation
-------------

Read the docs at `cobaya-utilities.readthedocs.io <http://cobaya-utilities.readthedocs.io>`_.
