Fixes segment selection in lalinference_pipe_utils when using bayeswave

lalinference/python/lalinference/lalinference_pipe_utils.py

@@ -1315,7 +1315,7 @@ class LALInferencePipelineDAG(pipeline.CondorDAG):
       else:
         slide=0
       for seg in self.segments[ifo]:
-        if segstart >= seg.start() and segend < seg.end():
+        if segstart >= seg.start() and segend <= seg.end():
             if not self.config.has_option('lalinference','fake-cache'):
               if self.config.has_option('condor','bayesline') or self.config.has_option('condor','computeroqweights'):
                 prenode.add_ifo_data(ifo,seg,self.channels[ifo],timeslide=slide)
@@ -1410,7 +1410,7 @@ class LALInferencePipelineDAG(pipeline.CondorDAG):
                   else:
                      slide=0
                   for seg in self.segments[ifo]:
-                     if segstart >= seg.start() and segend < seg.end():
+                     if segstart >= seg.start() and segend <= seg.end():
                         if not self.config.has_option('lalinference','fake-cache'):
                            bayeswavepsdnode[ifo].add_ifo_data(ifo,seg,self.channels[ifo],timeslide=slide)
                         else:

lalinference/python/lalinference_pipe.py

@@ -211,8 +211,8 @@ for sampler in samps:
         cp.set('paths','roq_b_matrix_directory',thispath)
         flow=roq_params[roq]['flow'] / roq_mass_freq_scale_factor
         srate=2.*roq_params[roq]['fhigh'] / roq_mass_freq_scale_factor
-	if srate > 8192:
-		srate = 8192
+        if srate > 8192:
+            srate = 8192
 
         seglen=roq_params[roq]['seglen'] * roq_mass_freq_scale_factor
         # params.dat uses the convention q>1 so our q_min is the inverse of their qmax