Metadata-Version: 2.1
Name: perfectns
Version: 2.1.2
Summary: Dynamic and standard nested sampling for spherically symmetric likelihoods and priors.
Home-page: https://github.com/ejhigson/perfectns
Author: Edward Higson
Author-email: e.higson@mrao.cam.ac.uk
License: MIT
Project-URL: Docs, http://perfectns.readthedocs.io/en/latest/
Description: perfectns
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        .. image:: https://travis-ci.org/ejhigson/perfectns.svg?branch=master
           :target: https://travis-ci.org/ejhigson/perfectns
        .. image:: https://coveralls.io/repos/github/ejhigson/perfectns/badge.svg?branch=master
           :target: https://coveralls.io/github/ejhigson/perfectns?branch=master&service=github
        .. image:: https://readthedocs.org/projects/perfectns/badge/?version=latest
           :target: http://perfectns.readthedocs.io/en/latest/?badge=latest
        .. image:: http://joss.theoj.org/papers/10.21105/joss.00985/status.svg
           :target: https://doi.org/10.21105/joss.00985
        .. image:: https://api.codeclimate.com/v1/badges/b04cc235c8f73870029c/maintainability
           :target: https://codeclimate.com/github/ejhigson/perfectns/maintainability
        .. image:: https://img.shields.io/badge/license-MIT-blue.svg
           :target: https://github.com/ejhigson/perfectns/blob/master/LICENSE
        
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        Read the documentation at `http://perfectns.readthedocs.io <http://perfectns.readthedocs.io>`_.
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Keywords: nested-sampling dynamic-nested-sampling
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Description-Content-Type: text/x-rst
Provides-Extra: docs
