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py-uwerr

0.1	py_uwerr-0.1-py3-none-any.whl

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Project:	py-uwerr
Version:	0.1
Filename:	py_uwerr-0.1-py3-none-any.whl
Download:	[link]
Size:	6927
MD5:	`1f53090c421865149ec419fbbe4d634c`
SHA256:	`18d56950ad4ffeaf750ec15a256a3a261b42a20327ea7ecd7aef742b7d476483`
Uploaded:	2021-08-03 13:20:57 +0000

Metadata-Version:	2.1
Name:	py-uwerr
Version:	0.1
Summary:	Pure Python library that implements Wolff's method to compute autocorrelation timesof Monte Carlo series.
Author-Email:	Dirk Hesse <herr.dirk.hesse[at]gmail.com>
Project-Url:	github, https://github.com/dhesse/py-uwerr
Keywords:	Monte Carlo,autocorrelation time,tau int,statistics
Classifier:	Development Status :: 4 - Beta
Classifier:	Intended Audience :: Science/Research
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Classifier:	Programming Language :: Python
Classifier:	Programming Language :: Python :: 3
Classifier:	Programming Language :: Python :: 3.6
Classifier:	Programming Language :: Python :: 3.7
Classifier:	Programming Language :: Python :: 3.8
Classifier:	Programming Language :: Python :: 3.9
Classifier:	Topic :: Scientific/Engineering
Classifier:	Topic :: Software Development :: Libraries
Requires-Python:	>=3.6
Requires-Dist:	numpy
Requires-Dist:	scipy
Requires-Dist:	matplotlib
Requires-Dist:	tox (==3.24.1); extra == "test"
Provides-Extra:	test
Description-Content-Type:	text/x-rst

[Description omitted; length: 1634 characters]

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