- use .copy() method of Table objects to obtain copy to ensure column names
  are always the same as the original.

- update for ilwd:char --> int conversion

- abandon LAL as the I/O library for XML reading because of push-back over the transition from ilwd:char to int IDs

- due to push back from collaboration over our desire to switch ilwd:char
  IDs in LIGO LW tables to integers, we are forced to decouple ourselves
  from the I/O code in LAL.

- this patch adds a translator to convert gracedb event uploads from
  integer ID format to the legacy ilwd:char ID format.  it can be reverted
  if gracedb is updated to accept integer ID format files

- gstlal-calibration is not touched

REVERT ME: lloidparts.py: raise the snr threshold to 4 instead of 3.5 to make online running more stable until coincidence / other python stuff is faster

- new segmentlist method implementing solution to problem that exists in several codes.  switching to it addresses a FIXME.

gstlal_ll_inspiral_aggregator: tweak kafka consumer settings to mitigate heartbeat session issues, close connection to consumer upon exit

gstlal_ll_feature_extractor_pipe: update monitor settings, rename file output directory for auxiliary jobs

rename gstlal_feature_listener to gstlal_feature_monitor for consistency, port to using new datamon aggregator classes

gstlal_feature_aggregator: modify process_queue() and packets_to_timeseries() to process more channels in parallel, fix typos

gstlal_ll_inspiral_pipe: scale up number of aggregator jobs to keep up with real-time, gstlal_ll_inspiral_aggregator: add more specific group_id to not conflict with other aggregator jobs

Enabling rpmbuild in the CI pipeline. Modfied burst's spec.in to remove undefined doxygen dependency and strange environment script. Implemented --disable-massmodel in gstlal-inspiral.spec.in to limit the size of the rpm

remove gstlal_ll_inspiral_state from gstlal-ugly as gstlal_ll_inspiral_aggregator can now handle state aggregation as well

gstlal_ll_inspiral_aggregator: use new aggregation classes from datamon to aggregate data, tidy up imports

gstlal_ll_dq: use new aggregation classes from datamon to aggregate data, tidy up imports and add copyright info

lloidhandler.py: change structure of data stored and pushed to kafka within EyeCandy, change name of state routes, add logic to handle sampling rates of state info here rather than downstream

gstlal_ll_inspiral_pipe: modify number of aggregation jobs, add option to switch between influx and hdf5 agg backends