Currently, there is no way to specify most parameters when requesting darks via MyMDC - values are
just loaded from the calibration configurations repository.  To allow for using different offset
thresholds in fixed gain mode versus adaptive gain mode, adding these extra parameters is a
pragmatic if not elegant solution for now.

The relevant data is copied into memory in pretty large chunks, so the core driver is not expected
to do much for us here.  In some brief testing, using the default driver instead resulted in
approximately the same (or slightly better) runtime and significantly lower peak memory consumption.

This requires the pending MR for cal_db_interactive.  Tested with e79f2c9d (current head of the
branch of that MR).

Applying isort and nbstripout.  Changing from ipyparallel to multiprocessing - and while doing so,
simplifying the call signature of characterize_module.

Send Kafka notifications when correction is complete

See merge request detectors/pycalibration!452

Fix/pre commit isort

See merge request detectors/pycalibration!434

Fix/pre commit isort

See merge request detectors/pycalibration!434

Fix/requirements into setuppy

See merge request detectors/pycalibration!437

Webservice: update Slurm jobs status in a separate thread

See merge request detectors/pycalibration!449

Webservice: Use ast.literal_eval() for parsing ZMQ requests

See merge request detectors/pycalibration!447