- by finishing the construction of the dataless ranking statistic
- this makes gstlal_inspiral_fake_diststats obsolete, so it is deleted

- forgot I was symlinking into the source tree, and accidentally pushed my local changes to this file along with the ranking statistic code changes.  this reverts the file to the previous version

- switch numerator and denominator PDFs to a rate.BinnedLnPDF + snglcoinc.LnLRDensity() -based implementation
- add trigger rate tracking feature to denominator, taking advantage of new high-speed coincidence rate machinery in snglcoinc
- add signal rate tracking feature to numerator, taking advantage of pre-computed P(instruments) factors in SNR PDF look-up table
- switch ranking statistic distribution to a rate.BinnedLnPDF -based implementation
- remove search_summary tables, attach all livetime tracking to the trigger rate data in the denominator object

this is a work in progress.  some notable features that are still missing:

- --min-log-L cut based candidate rate reduction feature in gstlal_inspiral is disabled
- online mode for gstlal_inspiral is non-functional

- remove search_summary table clean-up from de_calc_likelihood.sql
- an earlier patch stopped calc_likelihood from populating the search summary, and this should have gone in with that.

- introduce internal cacheentry class to hold entry information
- remove limit on cache size
- when initializing, move loop over instruments into .add_to_cache()
- add min_instruments parameter to the cache key
- in P_instruments_given_signal(), handle off instruments better
- record P(instruments | signal) in the SNRPDF cache
- enables generalization of ranking statistic away from fixed P(instruments | signal) marginalized over horizon distance history

- add --full feature to enable population of all possible PDFs
- add --full-fragment feature to enable parallelization
- add --seed / --seed-cache feature to enable merging of PDFs generated in parallel
- add process metadata to the output file to record how it was constructed
- remove make_snr_pdf_cache.py from share/ as it is now redundant

- instead of a default keyword argument of .quantize_horizon_distances(), store it as an instance attribute
- store the value in the XML PDF cache, and retrieve on load
- update pre-computed cache in share/ to new format (= manually add min_ratio Param to XML tree)