Build a searchable database for Correlator data in the pyerrors format.
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Justus Kuhlmann 8ff555a639
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Merge pull request 'remove unnecessary output when results are empty' (#28) from feat/empty_find into develop
Reviewed-on: https://www.kuhl-mann.de/git/git/jkuhl/corrlib/pulls/28
2026-04-09 15:57:31 +02:00
.github/workflows remove pip cache 2026-03-20 17:25:44 +01:00
corrlib Merge pull request 'remove unnecessary output when results are empty' (#28) from feat/empty_find into develop 2026-04-09 15:57:31 +02:00
examples add example toml-file 2025-11-20 17:14:12 +01:00
tests add test for project alias lookup 2026-03-23 18:26:17 +01:00
.gitignore add .coverage 2025-12-01 19:09:05 +01:00
pyproject.toml add mypy 2025-12-02 12:36:03 +01:00
README.md add README 2024-06-21 14:14:02 +00:00
TODO.md Finish first version of cache 2025-05-13 09:45:00 +00:00
uv.lock add mypy 2025-12-02 12:36:03 +01:00

Pyerrors backlog

With this tool, we aim at making it easy to backlog correlation functions that can be read with pyerrors. This is done in a reproducible way using datalad. In principle, a dataset is created, that is automatically administered by the backlogger, in which data from differnt projects are held together. Everything is catalogued by a searchable SQL database, which holds the paths to the respective measurements. The original projects can be linked to the dataset and the data may be imported using wrapper functions around the read methonds of pyerrors.