gstlal_feature_hdf5_sink: fix issues caused by restructuring of hdf5 saving causing pipeline to crash

gstlal_feature_synchronizer: fix typo in adding features to queue causing problems with combining features

multirate_datasource: now that padding is zero by default, choose only segments less than 1 second for the pre whitening gating, this will be only the gate files

- set ln(P) to 0.  template_ids is just the IDs for one chunk of the bank, not all the templates, so the previous version was not doing a uniform-in-template weighting.

Revert "Revert "inspiral_lr.py: Add population model to ranking statistic. Population model information in inspiral_intrinsics.py.""

This reverts commit 411d672e.

Revert "inspiral_lr.py: Add population model to ranking statistic. Population model information in inspiral_intrinsics.py."

This reverts commit 1cf67f62.

gstlal_feature_extractor_pipe: fix issue where last set of jobs extended past gps end times, added more readable output

gstlal_feature_extractor_pipe: clean up and refactor code for maintainability. feature_extractor.py: change default save_cadence from 200s -> 2000s to save on I/O downstream

gstlal_compute_strain:  Simplified removal of pcal lines. Also slightly simplified calculation of kappas.

Update Makefile.offline_tutorial_test to get past "AssertionError: There are too few templates in this chi interval.  Requested 500: have 192" error

Update .gitlab-ci.yml for the offline makefile test. Notes: 1. the documentation packages will get moved someplace smarter in the future. 2. Look into a targeted clone of the lalsuite-extra data 3. the offline test is super slow... I wonder if it could be the fftw libraries?