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2.1.3 perfectns-2.1.3-py3-none-any.whl

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Project: perfectns
Version: 2.1.3
Filename: perfectns-2.1.3-py3-none-any.whl
Download: [link]
Size: 35818
MD5: 5a190f7da649dc04bdbd94d1e90390cc
SHA256: 6f0b5a08a58d2e3f9c9916e0f4c78ec300eea25bebf35174d3751c033f89f05b
Uploaded: 2019-08-17 09:57:07 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: perfectns
Version: 2.1.3
Summary: Dynamic and standard nested sampling for spherically symmetric likelihoods and priors.
Author: Edward Higson
Author-Email: e.higson[at]mrao.cam.ac.uk
Home-Page: https://github.com/ejhigson/perfectns
Project-Url: Docs, http://perfectns.readthedocs.io/en/latest/
License: MIT
Keywords: nested-sampling dynamic-nested-sampling
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
Requires-Dist: numpy (>=1.13)
Requires-Dist: scipy (>=1.0.0)
Requires-Dist: pandas
Requires-Dist: matplotlib (>=2.1.0)
Requires-Dist: mpmath
Requires-Dist: nestcheck (>=0.1.2)
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: numpydoc; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Requires-Dist: nbsphinx (>=0.3.3); extra == "docs"
Provides-Extra: docs
Description-Content-Type: text/x-rst
[Description omitted; length: 1169 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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perfectns-2.1.3.dist-info/RECORD — —

top_level.txt

perfectns