Build a searchable database for Correlator data in the pyerrors format.
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Justus Kuhlmann 0626b34337
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implement dynamic db name from config
2025-12-04 14:31:53 +01:00
.github/workflows Merge pull request 'test/mypy' (#11) from test/mypy into develop 2025-12-02 12:45:07 +01:00
corrlib implement dynamic db name from config 2025-12-04 14:31:53 +01:00
examples add example toml-file 2025-11-20 17:14:12 +01:00
tests chore: cleanup 2025-12-04 11:21:13 +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.