iteritems does not exist in python3 anymore

items also works for python2 (might be slower though)

processing/post/addDeterminant.py

@@ -58,7 +58,7 @@ for name in filenames:
   errors  = []
   remarks = []
   
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for what in data['labels']:
       dim = table.label_dimension(what)
       if dim != data['dim']: remarks.append('column {} is not a {}...'.format(what,type))
@@ -81,7 +81,7 @@ for name in filenames:
 
   outputAlive = True
   while outputAlive and table.data_read():                                                          # read next data line of ASCII table
-    for type, data in items.iteritems():
+    for type, data in items.items():
       for column in data['column']:
         table.data_append(determinant(map(float,table.data[column:
                                                            column+data['dim']])))

processing/post/addDeviator.py

@@ -66,7 +66,7 @@ for name in filenames:
   remarks = []
   column = {}
   
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for what in data['labels']:
       dim = table.label_dimension(what)
       if dim != data['dim']: remarks.append('column {} is not a {}.'.format(what,type))
@@ -83,7 +83,7 @@ for name in filenames:
 # ------------------------------------------ assemble header --------------------------------------
 
   table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for label in data['active']:
       table.labels_append(['{}_dev({})'.format(i+1,label) for i in range(data['dim'])] + \
                          (['sph({})'.format(label)] if options.spherical else []))                  # extend ASCII header with new labels
@@ -93,7 +93,7 @@ for name in filenames:
 
   outputAlive = True
   while outputAlive and table.data_read():                                                          # read next data line of ASCII table
-    for type, data in items.iteritems():
+    for type, data in items.items():
       for column in data['column']:
         table.data_append(deviator(map(float,table.data[column:
                                                         column+data['dim']]),options.spherical))

processing/post/addGaussian.py

@@ -83,7 +83,7 @@ for name in filenames:
   if table.label_dimension(options.pos) != 3: errors.append('coordinates {} are not a vector.'.format(options.pos))
   else: colCoord = table.label_index(options.pos)
 
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for what in (data['labels'] if data['labels'] is not None else []):
       dim = table.label_dimension(what)
       if dim != data['dim']: remarks.append('column {} is not a {}.'.format(what,type))
@@ -100,7 +100,7 @@ for name in filenames:
 # ------------------------------------------ assemble header --------------------------------------
 
   table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for label in data['active']:
       table.labels_append(['Gauss{}({})'.format(options.sigma,label)])                              # extend ASCII header with new labels
   table.head_write()
@@ -114,7 +114,7 @@ for name in filenames:
 # ------------------------------------------ process value field -----------------------------------
 
   stack = [table.data]
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for i,label in enumerate(data['active']):
       stack.append(ndimage.filters.gaussian_filter(table.data[:,data['column'][i]],
                                                    options.sigma,options.order,

processing/post/addMises.py

@@ -70,7 +70,7 @@ for name in filenames:
   errors  = []
   remarks = []
   
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for what in data['labels']:
       dim = table.label_dimension(what)
       if dim != data['dim']: remarks.append('column {} is not a {}...'.format(what,type))
@@ -94,7 +94,7 @@ for name in filenames:
 
   outputAlive = True
   while outputAlive and table.data_read():                                                          # read next data line of ASCII table
-    for type, data in items.iteritems():
+    for type, data in items.items():
       for column in data['column']:
         table.data_append(Mises(type,
                                 np.array(table.data[column:column+data['dim']],'d').reshape(data['shape'])))

processing/post/addSpectralDecomposition.py

@@ -58,7 +58,7 @@ for name in filenames:
   errors  = []
   remarks = []
   
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for what in data['labels']:
       dim = table.label_dimension(what)
       if dim != data['dim']: remarks.append('column {} is not a {}...'.format(what,type))
@@ -84,7 +84,7 @@ for name in filenames:
 
   outputAlive = True
   while outputAlive and table.data_read():                                                          # read next data line of ASCII table
-    for type, data in items.iteritems():
+    for type, data in items.items():
       for column in data['column']:
         (u,v) = np.linalg.eigh(np.array(map(float,table.data[column:column+data['dim']])).reshape(data['shape']))
         if options.rh and np.dot(np.cross(v[:,0], v[:,1]), v[:,2]) < 0.0 : v[:, 2] *= -1.0          # ensure right-handed eigenvector basis

processing/post/addStrainTensors.py

@@ -101,7 +101,7 @@ for name in filenames:
   errors  = []
   remarks = []
   
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for what in data['labels']:
       dim = table.label_dimension(what)
       if dim != data['dim']: remarks.append('column {} is not a {}...'.format(what,type))

processing/post/rotateData.py

@@ -73,7 +73,7 @@ for name in filenames:
   remarks = []
   column = {}
   
-  for type, data in items.iteritems():
+  for type, data in items.items():
     for what in data['labels']:
       dim = table.label_dimension(what)
       if dim != data['dim']: remarks.append('column {} is not a {}.'.format(what,type))

processing/pre/geom_translate.py

@@ -92,7 +92,7 @@ for name in filenames:
             }
 
   substituted = np.copy(microstructure)
-  for k, v in sub.iteritems(): substituted[microstructure==k] = v                                   # substitute microstructure indices
+  for k, v in sub.items(): substituted[microstructure==k] = v                                   # substitute microstructure indices
 
   substituted += options.microstructure                                                             # shift microstructure indices
 

processing/pre/patchFromReconstructedBoundaries.py

@@ -344,7 +344,7 @@ def rcbParser(content,M,size,tolerance,idcolumn,segmentcolumn):
           else:
             myNeighbors[grainNeighbors[leg][side]] = 1
     if myNeighbors:                                                                                 # do I have any neighbors (i.e., non-bounding box segment)
-      candidateGrains = sorted(myNeighbors.iteritems(), key=lambda p: (p[1],p[0]), reverse=True)    # sort grain counting
+      candidateGrains = sorted(myNeighbors.items(), key=lambda p: (p[1],p[0]), reverse=True)    # sort grain counting
                                                                                                     # most frequent one not yet seen?
       rcData['grainMapping'].append(candidateGrains[0 if candidateGrains[0][0] not in rcData['grainMapping'] else 1][0]) # must be me then
                                                                                                     # special case of bi-crystal situation...