gstlal_etg: added hdf file saving ala h5py, added utility functions and classes to idq_aggregator.py

- V1 must be removed from the coinc rates model in the denominator because
  all coincs will be made to be V1-less in the .__call__() method

- in gstpythonplugin

- from /usr/lib in Debian packages

- use AC_SUBST macro itself to set variable's value

- update gstlal-ugly's .spec and debian/install files to account for addition of library code to the package
- alphabetize gstlal and gstlal-inspiral's files
- don't package the /usr/include/ directory, only its contents

 - "gds-dev" --> "gds-devel" in .spec
 - remove multirate's Makefile.in from configure.ac as it's not packaged

- ax_append_flag.m4

- ax_require_defined.m4

- don't recurse into directory at all.  silences 00boot warning "variable 'libgstmultirate_la_SOURCES' is defined but no program or library has 'libgstmultirate_la' as canonical name (possible typo)"
- (plugin disabled because has not been ported to 1.x, so won't build)

- because we require a 1.x version of gstreamer

- I don't know if this breaks it on other people's systems, but it's broken
  without this update on mine, so ... ?

- This reverts commit 8d438d4a.
- and fixes the feature
- the problem was start-up transients in the whitener leading to bad PSDs
  at the start of analysis jobs.  this was never a problem before because
  we were averaging over the entire experiment, but now the ranking
  statistic believes there is a brief period of insanely high sensitivity
  at the start of segments, and anything found during that time was given
  far too high a significance.  the fix is to have lloidparts check the
  n-samples property of the whitener that provides the PSD, and disregard
  PSDs until it gets close to the configured average-samples value.

- sort of amazed this ever worked, the mask vector was nonsense

- diagnostic tool to investigate relationship between internal dataless
  ranking statistic used with --min-log-L feature of gstlal_inspiral, and
  the true data-defined ranking statistic.  can be used to test
  improvements to the dataless ranking statistic, or check effect of a
  choice of --min-log-L threshold.