mirror of https://github.com/fjosw/pyerrors.git synced 2025-11-30 04:56:52 +01:00

Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd

autocorrelation autograd automatic-differentiation condensed-matter correlation data-analysis error-propagation lattice-field-theory lattice-qcd markov-chain monte-carlo particle-physics physics python qcd statistical-analysis statistical-mechanics

Find a file

Justus Kuhlmann 0bc08be634 Impr/refactor find files (#153 ) * wrote small test for ms5_xsf read method * small bug in ms5_xsf found * first version of refactoring with test * built _find_files into openQCD module * postfix can now be used as before * altered test data to be smaller * read_rwms throws better Exception now * typo corrected * better tests for postfixes, also added similar solution for ext variable * added method to sort names of files and replica better		2023-02-17 11:51:00 +00:00
.github	ci: python 3.11 added to pytest workflow, minimal version of h5py bumped	2023-01-23 10:42:26 +00:00
examples	Merge pull request #134 from PiaLJP/develop	2023-02-02 15:09:11 +00:00
pyerrors	Impr/refactor find files (#153 )	2023-02-17 11:51:00 +00:00
tests	Impr/refactor find files (#153 )	2023-02-17 11:51:00 +00:00
.gitignore	build: extract version number in setup.py from version.py	2022-06-14 12:02:43 +01:00
CHANGELOG.md	docs: CHANGELOG updated.	2023-02-07 13:07:48 +00:00
CITATION.cff	docs: CHANGELOG and CITATION file updated.	2022-10-13 12:08:54 +01:00
conftest.py	tests: conftest.py added	2022-01-20 13:56:56 +00:00
CONTRIBUTING.md	tests: fuzzy test for Obs added, test dependencies and documentation	2023-01-20 11:44:31 +00:00
LICENSE	Initial public release	2020-10-13 16:53:00 +02:00
pyproject.toml	build: pyproject.toml added.	2022-08-01 16:43:19 +01:00
README.md	docs: pypi link added to README	2022-11-16 10:38:18 +00:00
setup.py	build: minimal numpy version bumped to 1.21 as 1.20 runs out of support	2023-01-23 16:23:09 +00:00

README.md

pyerrors

pyerrors is a python package for error computation and propagation of Markov chain Monte Carlo data.

Documentation: https://fjosw.github.io/pyerrors/pyerrors.html
Examples: https://github.com/fjosw/pyerrors/tree/develop/examples
Contributing: https://github.com/fjosw/pyerrors/blob/develop/CONTRIBUTING.md
Bug reports: https://github.com/fjosw/pyerrors/issues

Installation

To install the most recent release (via pypi) run

pip install pyerrors     # Fresh install
pip install -U pyerrors  # Upgrade

to install the current develop version run

pip install git+https://github.com/fjosw/pyerrors.git@develop