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

Python 100%

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Justus Kuhlmann 7275fdd4f3 All checks were successful Mypy / mypy (pull_request) Successful in 1m11s Details Pytest / pytest (3.12) (pull_request) Successful in 1m28s Details Pytest / pytest (3.13) (pull_request) Successful in 1m17s Details Pytest / pytest (3.14) (pull_request) Successful in 1m12s Details Ruff / ruff (pull_request) Successful in 1m3s Details remove unnecessary output when results are empty		2026-04-08 17:28:54 +02:00
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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.