Metadata-Version: 2.1
Name: perfectns
Version: 2.0.1
Summary: Dynamic and standard nested sampling for spherically symmetric likelihoods and priors.
Home-page: https://github.com/ejhigson/perfectns
Author: Edward Higson
Author-email: ejhigson@gmail.com
License: MIT
Description: perfectns
        =========
        
        .. 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
        .. image:: https://img.shields.io/badge/license-MIT-blue.svg
            :target: https://github.com/ejhigson/perfectns/LICENSE
        
        
        +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
        For more information see the `github repo README <https://github.com/ejhigson/perfectns/blob/master/README.md>`_.
        +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
        
Keywords: nested-sampling dynamic-nested-sampling
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
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
