also consider homogenization/materialpoint results

python/damask/dadf5.py

@@ -48,16 +48,24 @@ class DADF5():
         for o in f['inc{:05}/constituent/{}'.format(self.increments[0]['inc'],c)].keys():
           self.c_output_types.append(o)
       self.c_output_types = list(set(self.c_output_types))                                          # make unique
+
+      self.m_output_types = []
+      for m in self.materialpoints:
+        for o in f['inc{:05}/materialpoint/{}'.format(self.increments[0]['inc'],m)].keys():
+          self.m_output_types.append(o)
+      self.m_output_types = list(set(self.m_output_types))                                          # make unique
       
     self.active= {'increments':     self.increments,
                   'constituents':   self.constituents,
                   'materialpoints': self.materialpoints,
                   'constituent':    self.Nconstituents,
-                  'c_output_types': self.c_output_types}
+                  'c_output_types': self.c_output_types,
+                  'm_output_types': self.m_output_types}
 
     self.filename   = filename
     self.mode       = mode
-    
+
+
   def list_data(self):
     """Shows information on all datasets in the file"""
     with h5py.File(self.filename,'r') as f:
@@ -73,6 +81,17 @@ class DADF5():
               print('    {} ({})'.format(x,f[group_output_types+'/'+x].attrs['Description'].decode()))
           except:
             pass
+      for m in self.active['materialpoints']:
+        print('\n'+m)
+        group_materialpoint = group_inc+'/materialpoint/'+m
+        for t in self.active['m_output_types']:
+          print('  {}'.format(t))
+          group_output_types = group_materialpoint+'/'+t
+          try:
+            for x in f[group_output_types].keys():
+              print('    {} ({})'.format(x,f[group_output_types+'/'+x].attrs['Description'].decode()))
+          except:
+            pass
     
 
   def get_dataset_location(self,label):