Minor code polishing

pyfstat/core.py

@@ -632,13 +632,14 @@ class ComputeFstat(BaseSearchClass):
             self.windowRange.dt0 = self.Tsft
             self.windowRange.dtau = self.Tsft
 
-            # special treatment of window_type = none ==> replace by rectangular window spanning all the data
+            # special treatment of window_type = none ==> replace by
+            # rectangular window spanning all the data
             if self.windowRange.type == lalpulsar.TRANSIENT_NONE:
                 self.windowRange.t0 = int(self.minStartTime)
                 self.windowRange.t0Band = 0
                 self.windowRange.tau = int(self.maxStartTime-self.minStartTime)
                 self.windowRange.tauBand = 0
-            else: # user-set bands and spacings
+            else:  # user-set bands and spacings
                 if self.t0Band is None:
                     self.windowRange.t0Band = 0
                 else:
@@ -660,7 +661,9 @@ class ComputeFstat(BaseSearchClass):
                     if self.dtau:
                         self.windowRange.dtau = self.dtau
 
-            self.tCWFstatMapFeatures, self.gpu_context = tcw.init_transient_fstat_map_features ( self.tCWFstatMapVersion=='pycuda', self.cudaDeviceName )
+            self.tCWFstatMapFeatures, self.gpu_context = (
+                tcw.init_transient_fstat_map_features(
+                    self.tCWFstatMapVersion == 'pycuda', self.cudaDeviceName))
 
     def get_fullycoherent_twoF(self, tstart, tend, F0, F1, F2, Alpha, Delta,
                                asini=None, period=None, ecc=None, tp=None,
@@ -704,21 +707,29 @@ class ComputeFstat(BaseSearchClass):
             # F-stat computation
             self.windowRange.tau = int(2*self.Tsft)
 
-        #logging.debug('Calling "%s" version of ComputeTransientFstatMap() with windowRange: (type=%d (%s), t0=%f, t0Band=%f, dt0=%f, tau=%f, tauBand=%f, dtau=%f)...' % (self.tCWFstatMapVersion, self.windowRange.type, self.transientWindowType, self.windowRange.t0, self.windowRange.t0Band, self.windowRange.dt0, self.windowRange.tau, self.windowRange.tauBand, self.windowRange.dtau))
-        self.FstatMap = tcw.call_compute_transient_fstat_map( self.tCWFstatMapVersion,
-                                                         self.tCWFstatMapFeatures,
-                                                         self.FstatResults.multiFatoms[0],
-                                                         self.windowRange
-                                                       )
+        # logging.debug(
+        #     'Calling "%s" version of ComputeTransientFstatMap() with\
+        #     windowRange: (type=%d (%s), t0=%f, t0Band=%f, dt0=%f, tau=%f,\
+        #     tauBand=%f, dtau=%f)...' % (
+        #         self.tCWFstatMapVersion, self.windowRange.type,
+        #         self.transientWindowType, self.windowRange.t0,
+        #         self.windowRange.t0Band, self.windowRange.dt0,
+        #         self.windowRange.tau, self.windowRange.tauBand,
+        #         self.windowRange.dtau))
+        self.FstatMap = tcw.call_compute_transient_fstat_map(
+            self.tCWFstatMapVersion, self.tCWFstatMapFeatures,
+            self.FstatResults.multiFatoms[0], self.windowRange)
         if self.tCWFstatMapVersion == 'lal':
             F_mn = self.FstatMap.F_mn.data
         else:
             F_mn = self.FstatMap.F_mn
 
-        #logging.debug('maxF:   {}'.format(FstatMap.maxF))
-        #logging.debug('t0_ML:  %ds=T0+%fd' % (FstatMap.t0_ML, (FstatMap.t0_ML-tstart)/(3600.*24.)))
-        #logging.debug('tau_ML: %ds=%fd' % (FstatMap.tau_ML, FstatMap.tau_ML/(3600.*24.)))
-        #logging.debug('F_mn:   {}'.format(F_mn))
+        # logging.debug('maxF:   {}'.format(self.FstatMap.maxF))
+        # logging.debug('t0_ML:  %ds=T0+%fd' % (
+        #     self.FstatMap.t0_ML, (self.FstatMap.t0_ML-tstart)/(3600.*24.)))
+        # logging.debug('tau_ML: %ds=%fd' % (
+        #     self.FstatMap.tau_ML, self.FstatMap.tau_ML/(3600.*24.)))
+        # logging.debug('F_mn:   {}'.format(F_mn))
 
         twoF = 2*np.max(F_mn)
         if self.BSGL is False: