lalburst:  more python 3 changes

See merge request !517

lalapps/src/inspiral memory fixes

See merge request !516

- fix memory bugs identified by gcc 8 in lalapps/src/inspiral/
- without this patch lalapps is uncompilable with an up-to-date gcc and -Werror

StringSearch.c:  fix memory problem

See merge request !515

snglcoinc.py:  add .age properties

See merge request !514

- identified by gcc 8.  this patch gets the lalapps/src/string/ directory compilable with -Werror and gcc 8.

Lalapps ring gcc8fixes

See merge request !497

Various Doxygen fixes

See merge request !512

Minor fix to cbcBayesCombinePosteriors.py: Since numpy-1.12 float indices are no longer implicitly converted to integers

See merge request !509

remove abandoned MakeCleanSFTs program

Closes CW/lalsuite#44

See merge request !510

Since numpy-1.12 float indices are no longer implicitly converted to integers, this patch adds explicit conversion for combining posteriors using the weights option.

 -has been an optional build since 2009
 -fails to build e.g. with gcc 6.3.0 on Debian Squeeze
 -pulgroup discussion revealed no continued need or support
 -note it in attic.txt for posterity
 -closes https://git.ligo.org/CW/lalsuite/issues/44

Snglcoincwork

See merge request !508

- also (optinally) report which of the flushed events have not been used.

- pre-record a boolean indicating which nodes have all-zero offset vectors so this doesn't have to be checked in loops in calling codes.

Fix unicode string in declination plot

Closes #109

See merge request lscsoft/lalsuite!507

Doxygen: only pass files named SWIG*.i through filter_swig.sed

See merge request lscsoft/lalsuite!504

- filter_swig.sed renamed from filter_i.sed to make this clearer

snglcoinc: new stream-based coincidence engine

See merge request lscsoft/lalsuite!501

- this patch replaces snglcoinc's coincidence engine with a native
  streaming engine.  the old implementation was written at a time when it
  was believed that time slides were the focus of coincidence analyses, and
  was optimized for performing very large numbers of time slides.  we now
  know time slides are not how good noise models are constructed and that
  it is better to optimize for high trigger rates so as to allow for the
  lowest possible thresholds.  that means optimizing not for high offset
  vector count but, instead, for ram use and lower comparison operation
  count, i.e., adopting a "streaming model", where events flow into the
  comparison engine and coincidences flow out, a relatively small number of
  time shift offset vectors are considered, and events are only held in
  memory until they are no longer needed to construct coincidences.

Lalburstupdates

See merge request lscsoft/lalsuite!500

A selection of Python 3 fixes in LALInference

See merge request lscsoft/lalsuite!466

Lalsuite lalinference python3

See merge request matthew-pitkin/lalsuite!5

Allow psr_par to read in frequency derivatives up to the 12th order

See merge request lscsoft/lalsuite!493

Lalsuite lalinference python3

See merge request matthew-pitkin/lalsuite!4