running offline inspiral jobs with gracedb uploads. The command line arguments
are constructed from a the process params table in an injection results
database

Makefile.gstlal_idq_icc: fix linking so that gstlal install is not skipped, fixed target for kafka-python install, updated version for kafka python bindings to use seek features, fixed issues with kafka install when Makefile is run multiple times, switched order of pulling of repos so that user is prompted immediately for credentials for idq git pull

gstlal_feature_extractor_pipe: changed segment splitting so that segments do not get shifted from segment_length arg given, added options in offline Makefile to request save and persist cadence, updated params to reflect more closely offline runs

updated gstlal_feature_extractor + iDQ makefile with new gstlal opt build changes, added kafka proper as part of install, fixed some issues with C flags in kafka-python that caused install to fail

gstlal_feature_extractor + related files: added sine-gaussian waveform and made option available to use as basis function for feature extraction

updated offline feature extractor Makefile to have configurable channel list as well as updated job parameters for submitting Condor jobs efficiently

gstlal_feature_extractor_pipe + offline Makefile: added request_disk feature to condor submissions to ensure there is enough local space to run jobs

etg -> feature_extractor: the great migration. purged all mentions of ETG and replaced them with feature extractor or more aptly name depending on context

gstlal_etg_pipe + related Makefile: added concurrency option to limit the amount of concurrent I/O frame reads when submitting condor jobs

gstlal_etg + related files: added ability to process channels in parallel (via condor) as well as serially, added tracking of jobs by job_id (parallel) and subset_id (serial) to reflect this. Added a few options in Makefile, gstlal_etg_pipe to tune level of serial/parallel processing

gstlal_etg_pipe + Makefile.gstlal_etg_offline: tweaks in generating offline ETG condor runs and generation to use local frame caching and process channel lists serially, tweaks in cpu and memory requests for condor submission

Makefile.gstlal_etg_offline: changed frame cache generation to use IFO variable rather than tying it to cluster it is running on, fixed issue with not finding gstlal_etg_pipe executable

Makefile.gstlal_idq_icc: fix for specifying correct kafka target file, fix for removing python-eggs UserWarning

fixed issues in ETG offline runs causing pipeline to idle due to not enough CPU resources being allocated

gstlal_etg_pipe + related offline Makefile: tweaked allocation settings for offline jobs based on performance tests, cleaned up options in launched jobs

added Makefile.gstlal_idq_icc for installing gstLAL, iDQ and related dependencies needed to run gstlal_etg + iDQ