rudimentary postResults for HDF5 output

only meant for compatibility during transition

processing/post/DADF5_postResults.py

@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+# -*- coding: UTF-8 no BOM -*-
+
+import os
+import numpy as np
+import argparse
+import damask
+
+scriptName = os.path.splitext(os.path.basename(__file__))[0]
+scriptID   = ' '.join([scriptName,damask.version])
+
+# --------------------------------------------------------------------
+#                                MAIN
+# --------------------------------------------------------------------
+parser = argparse.ArgumentParser()
+
+#ToDo:  We need to decide on a way of handling arguments of variable lentght
+#https://stackoverflow.com/questions/15459997/passing-integer-lists-to-python
+
+#parser.add_argument('--version', action='version', version='%(prog)s {}'.format(scriptID))
+parser.add_argument('filenames', nargs='+',
+                    help='DADF5 files')
+
+options = parser.parse_args()
+
+options.labels = ['Fe','Fp','xi_sl']
+
+# --- loop over input files ------------------------------------------------------------------------
+
+for filename in options.filenames:
+  results = damask.DADF5(filename)
+  
+  if not results.structured: continue
+  delta = results.size/results.grid*0.5
+  x, y, z = np.meshgrid(np.linspace(delta[2],results.size[2]-delta[2],results.grid[2]),
+                        np.linspace(delta[1],results.size[1]-delta[1],results.grid[1]),
+                        np.linspace(delta[0],results.size[0]-delta[0],results.grid[0]),
+                        indexing = 'ij')
+
+  coords = np.concatenate((z[:,:,:,None],y[:,:,:,None],x[:,:,:,None]),axis = 3) 
+  
+  for i,inc in enumerate(results.increments):
+    print('Output step {}/{}'.format(i+1,len(results.increments)))
+
+    header = '1 header\n'
+    
+    data = np.array([inc['inc'] for j in range(np.product(results.grid))]).reshape([np.product(results.grid),1])
+    header+= 'inc'
+    
+    data = np.concatenate((data,np.array([j+1 for j in range(np.product(results.grid))]).reshape([np.product(results.grid),1])),1)
+    header+=' node'
+
+    coords = coords.reshape([np.product(results.grid),3])
+    data = np.concatenate((data,coords),1)
+    header+=' 1_pos 2_pos 3_pos'
+    
+    np.savetxt('{}_inc{}.txt'.format(filename.split('.')[0],i),data,header=header,comments='')
+    
+    results.active['increments'] = [inc]
+    for label in options.labels:
+      for o in results.c_output_types:
+        results.active['c_output_types'] = [o]
+        for c in results.constituents:
+          results.active['constituents'] = [c]
+          x = results.get_dataset_location(label)
+          if len(x) == 0:
+            continue
+          array = results.read_dataset(x,0)