debugging optimizer

da/tools/pipeline.py

@@ -165,6 +165,7 @@ def SampleState(DaCycle,Samples,StateVector, ObservationOperator):
     # Optionally, post-processing of the model output can be added that deals for instance with
     # sub-sampling of time series, vertical averaging, etc.
 
+    for n in range(nlag): print StateVector.EnsembleMembers[n][0].ModelSample.Data.getvalues('obs'), allobs
     return None
 
 def SampleOneCycle(DaCycle,Samples,StateVector, ObservationOperator,lag):
@@ -239,6 +240,8 @@ def SampleOneCycle(DaCycle,Samples,StateVector, ObservationOperator,lag):
     startdate = AdvanceTime( startdate, cyclelen)
     DaCycle['time.sample.start']  = startdate
 
+    return None
+
 def Invert(DaCycle, StateVector, Optimizer ):
     """ Perform the inverse calculation """