do not reshape data

since xdmf is not stable right now, there is no need to reshape the data to tie it to the mesh. comment them out for future reference

processing/post/ascii2hdf5.py

@@ -90,11 +90,16 @@ Vx = get_rectMshVectors(xyz_array, 0)
 Vy = get_rectMshVectors(xyz_array, 1)
 Vz = get_rectMshVectors(xyz_array, 2)
 # use the dimension of the rectangular grid to reshape all other data
-mshGridDim = (len(Vx)-1, len(Vy)-1, len(Vz)-1)
+mshGridDim = [len(Vx)-1, len(Vy)-1, len(Vz)-1]
 
 # ----- create a new HDF5 file and save the data -----#
-# Will overwrite existing HDF5 file with the same name
-h5f = damask.H5Table(filename.replace(".txt", ".h5"),
+# force remove existing HDF5 file
+h5fName = filename.replace(".txt", ".h5")
+try:
+    os.remove(h5fName)
+except OSError:
+    pass
+h5f = damask.H5Table(h5fName,
                      new_file=True,
                      dsXMLFile=defFile)
 # adding increment number as root level attributes
@@ -105,24 +110,26 @@ h5f.add_data("Vy", Vy)
 h5f.add_data("Vz", Vz)
 
 # add the rest of data from table
-addedLabels = ['inc']
+labelsProcessed = ['inc']
 for fi in xrange(len(labels)):
     featureName = labels[fi]
-    # skip increment and duplicated columns in the ASCII table
-    if featureName in addedLabels: continue
-    # remove trouble maker "("" and ")"
+    # remove trouble maker "("" and ")" from label/feature name
     if "(" in featureName: featureName = featureName.replace("(", "")
     if ")" in featureName: featureName = featureName.replace(")", "")
+    # skip increment and duplicated columns in the ASCII table
+    if featureName in labelsProcessed: continue
+
     featureIdx = labels_idx[fi]
     featureDim = featuresDim[fi]
     # grab the data hook
     dataset = fullTable[:, featureIdx:featureIdx+featureDim]
     # mapping 2D data onto a 3D rectangular mesh to get 4D data
-    # In paraview, the data is mapped as:
+    # WARNING: In paraview, the data for a recmesh is mapped as:
     # -->  len(z), len(y), len(x), size(data)
-    dataset = dataset.reshape((mshGridDim[2], mshGridDim[1], mshGridDim[0],
-                               dataset.shape[1]))
+    # dataset = dataset.reshape((mshGridDim[0], mshGridDim[1], mshGridDim[2],
+    #                            dataset.shape[1]))
     # write out data
+    print "adding {}...".format(featureName)
     h5f.add_data(featureName, dataset)
     # write down the processed label
-    addedLabels.append(featureName)
+    labelsProcessed.append(featureName)