search

legend-exp / pygama

Python package for data processing and analysis
https://pygama.readthedocs.io
GNU General Public License v3.0
18 stars 56 forks source link

Support the latest legend-pydataobj and dspeed versions #522

Closed MoritzNeuberger closed 8 months ago

MoritzNeuberger commented 10 months ago

The update of the import references according to https://github.com/legend-exp/legend-pydataobj/pull/24

gipert commented 10 months ago

We'll also need to update the legend-pydataobj version bound in pyproject.toml, once a new version is released.

codecov[bot] commented 8 months ago

Codecov Report

Attention: 21 lines in your changes are missing coverage. Please review.

Comparison is base (10798dc) 18.28% compared to head (646cf1a) 18.25%.

Files Patch % Lines
src/pygama/flow/data_loader.py 53.33% 7 Missing :warning:
src/pygama/pargen/energy_optimisation.py 16.66% 5 Missing :warning:
src/pygama/pargen/extract_tau.py 0.00% 3 Missing :warning:
src/pygama/flow/file_db.py 87.50% 2 Missing :warning:
src/pygama/pargen/utils.py 0.00% 2 Missing :warning:
src/pygama/pargen/AoE_cal.py 0.00% 1 Missing :warning:
src/pygama/pargen/ecal_th.py 0.00% 1 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #522 +/- ## ========================================== - Coverage 18.28% 18.25% -0.04% ========================================== Files 33 33 Lines 7165 7167 +2 ========================================== - Hits 1310 1308 -2 - Misses 5855 5859 +4 ```

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.

gipert commented 8 months ago

Why CI keeps failing is really a mystery to me. I'm trying to reach the tqdm developers here: https://github.com/tqdm/tqdm/issues/1037

I will go ahead and merge for now.