debugging optimized

da/baseclasses/optimizer.py

@@ -98,19 +98,16 @@ class Optimizer(object):
                 memsamples=[]
                 for m,mem in enumerate(members):
                     memsamples.append(                            mem.ModelSample.Data.getvalues('simulated') ) 
+                    print memsamples
 
-                print np.array(memsamples).max()
                 if n == 0:
                     allmemsamples = np.array(memsamples)
                 else:
                     allmemsamples = np.concatenate((allmemsamples,np.array(memsamples)),axis=1)
 
-        print np.array(allmemsamples).max()
 
         self.HX_prime[:,:]                                      = np.transpose(allmemsamples)
 
-        print self.HX_prime.max()
-
         self.obs[:]                                             = np.array(allobs)
         self.Hx[:]                                              = np.array(allsamples)