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Commit 70bb1548 authored by Karim Ahmed's avatar Karim Ahmed
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roll back unrelated changes

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# Release Notes
## 3.15.0
[AGIPD][Correct] New feature for lit-pixel counter
[AGIPD][Correct] Refactor write_file on AgipdCorrections to create indexes using the DataFile
[AGIPD][PC] Fixing plotting in summary notebook
[AGIPD][LPD] Add DataFile.create_legacy_source
[LPD][Correct] Write corrected data as new source and link to old source name
[Jungfrau][Dark] use CalibrationData to retrieve prior CCVs
[Jungfrau][Correct] Test ROI for JF1M
[Jungfrau][Correct] use new correct data source and link to old data source
[Jungfrau] roi-definitions to update_config.py script
[PNCCD][Correct] New corrected data source and link to legacy source
[Epix100][Correct] New corrected data source and a link to old data source
[Gotthard2]: Avoid getting wrong data sources or including control devices' sources.
[xfel-calibrate]: expose mincpus argument as --slurm-mincpus
[Fix] Pin the pillow version
[Test] Configure and Include new test runs
[Test] Swap order of dicts for DeepDiff
[Webservice] Remove extra slash from reports-folder config
[Webservice] Use MUNGE credential with update_conf requests
[CalCatAPI] port markdown tables of found constants
[CalCatAPI] Convert digits and boolean to float and the rest to string
Make constant tables in both markdown & latex format
## 3.14.3
Update report creation to use texlive/2022
fix: Update documentations after EL9 update
## 3.14.2
[AGIPD][Correct][CS] Fix badpixelsCS before we have multiple CCVss to have same BadPixels shapes.
[AGIPD] Modernize use of extra_data to get AGIPD control data
[AGIPD][Correct] use np.nanmin and np.nanmax to avoid nans when modules are missing
[AGIPD][Correct] bug when plotting gain data of only 0 after it's info was discarded by DAQ
[Shimadzu][Correct] fix for less expected images
Remove unnecessary 'module load' command from jobs to be repeated
Remove reference to anaconda/3 module
flake8 repository has moved from gitlab to github
## 3.14.1
[AGIPD][CORRECT][DARK] Break wrong assumption for availability for 1st module.
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