Build a searchable database for Correlator data in the pyerrors format.

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Justus Kuhlmann 7d8cf4274c Some checks failed Pytest / pytest (3.12) (push) Failing after 27s Details Pytest / pytest (3.13) (push) Failing after 32s Details Pytest / pytest (3.14) (push) Failing after 30s Details add tests for init and version cli commands		2025-12-01 18:42:53 +01:00
.github/workflows	test/first (#8 )	2025-12-01 18:06:59 +01:00
corrlib	test/first (#8 )	2025-12-01 18:06:59 +01:00
examples	add example toml-file	2025-11-20 17:14:12 +01:00
tests	add tests for init and version cli commands	2025-12-01 18:42:53 +01:00
.gitignore	test/first (#8 )	2025-12-01 18:06:59 +01:00
.gitmodules	[DATALAD] Added subdataset	2025-07-09 08:03:04 +00:00
pyproject.toml	test/first (#8 )	2025-12-01 18:06:59 +01:00
README.md	add README	2024-06-21 14:14:02 +00:00
setup.py	better setup	2025-04-16 18:00:05 +00:00
TODO.md	Finish first version of cache	2025-05-13 09:45:00 +00:00
uv.lock	test/first (#8 )	2025-12-01 18:06:59 +01:00

README.md

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.