Reset calibration_metadata.yml before saving the initial calibration metadata

See merge request detectors/pycalibration!624

Add orca passthrough

See merge request detectors/pycalibration!620

FIX: Add microseconds to datetime part in tempfolder name

See merge request detectors/pycalibration!621

Fix: [AGIPD][DARK] index out of range in case of running for one module

See merge request detectors/pycalibration!616

[AGIPD] [Correct] Add parameter for gain_mode in AGIPD correction

See merge request detectors/pycalibration!617

[PNCCD][CORRECT] -1 sequences by default

See merge request detectors/pycalibration!618

[FIX][JUNGFRAU][CORRECT] Index first cell for single cell corrected data

See merge request detectors/pycalibration!614

[EPIX100] Reading ePix100 data with EXtra-data, Correct and Dark notebooks.

See merge request detectors/pycalibration!500

Using pasha and removing ipyparallel for parallelization and avoiding the use of pyDetlib for noise and offset calculation

No longer copy untouched data files to the output directory before processing

See merge request detectors/pycalibration!612

Allow only corrections to be disabled in data mappings

See merge request detectors/pycalibration!611

[pnCCD] [CORRECT][DARK] EXtra-data, processing using pasha, and parallel correction for different sequence files.

See merge request detectors/pycalibration!559

# Conflicts:
#   notebooks/Jungfrau/Jungfrau_Gain_Correct_and_Verify_NBC.ipynb
#   notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb

Fix missing switch from key to attribute access in xfel-calibrate args after rework

See merge request detectors/pycalibration!608

Add selection of lit frames using AgipdLitFrameFinder device

See merge request detectors/pycalibration!603

[REMI] Add compatibility with old DAQ files

See merge request detectors/pycalibration!607

Remove unused code to automatically select Slurm reservation

See merge request detectors/pycalibration!590

[AGIPD][DARK] FIX: Make sure to process darks out of sequence file with the highest trainIds

See merge request detectors/pycalibration!601