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

Python 100%

Find a file

Justus Kuhlmann cc14e68b44 Some checks failed Mypy / mypy (push) Successful in 1m15s Details Pytest / pytest (3.12) (push) Successful in 1m20s Details Pytest / pytest (3.13) (push) Successful in 1m16s Details Pytest / pytest (3.14) (push) Successful in 1m25s Details Ruff / ruff (push) Has been cancelled Details add tests for time filter and find project, add a first check for integrity of the database		2026-03-26 17:19:58 +01:00
.github/workflows	remove pip cache	2026-03-20 17:25:44 +01:00
corrlib	add tests for time filter and find project, add a first check for integrity of the database	2026-03-26 17:19:58 +01:00
examples	add example toml-file	2025-11-20 17:14:12 +01:00
tests	add tests for time filter and find project, add a first check for integrity of the database	2026-03-26 17:19:58 +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

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.