now working with python 3

processing/pre/geom_fromOsteonGeometry.py

@@ -55,9 +55,9 @@ parser.set_defaults(canal = 25e-6,
 
 (options,filename) = parser.parse_args()
 
-if np.any(options.grid < 2):
+if np.any(np.array(options.grid) < 2):
   parser('invalid grid a b c.')
-if np.any(options.size <= 0.0):
+if np.any(np.array(options.size) <= 0.0):
   parser('invalid size x y z.')
 
 # --- open input files ----------------------------------------------------------------------------
@@ -114,12 +114,8 @@ for y in range(info['grid'][1]):
       info['microstructures'] += 1
 
 #--- report ---------------------------------------------------------------------------------------
-damask.util.croak(['grid     a b c:  %s'%(' x '.join(map(str,info['grid']))),
+damask.util.report_geom(info,['grid','size','origin','homogenization','microstructures'])
-                   'size     x y z:  %s'%(' x '.join(map(str,info['size']))),
+
-                   'origin   x y z:  %s'%(' : '.join(map(str,info['origin']))),
-                   'homogenization:  %i'%info['homogenization'],
-                   'microstructures: %i'%info['microstructures']])
-# -------------------------------------- switch according to task ----------------------------------
 formatwidth = 1+int(math.floor(math.log10(info['microstructures']-1)))
 header = [scriptID + ' ' + ' '.join(sys.argv[1:])]
 header.append('<microstructure>')

processing/pre/geom_fromTable.py

@@ -152,7 +152,7 @@ for name in filenames:
     continue
 
   table.data_readArray([options.pos] \
-                       + ([label] if isinstance(label, types.StringTypes) else label) \
+                       + (label if isinstance(label, list) else [label]) \
                        + ([options.phase] if options.phase else []))
   
   if coordDim == 2:
@@ -165,9 +165,9 @@ for name in filenames:
 # --------------- figure out size and grid ---------------------------------------------------------
 
   coords = [np.unique(table.data[:,i]) for i in range(3)]
-  mincorner = np.array(map(min,coords))
+  mincorner = np.array(list(map(min,coords)))
-  maxcorner = np.array(map(max,coords))
+  maxcorner = np.array(list(map(max,coords)))
-  grid   = np.array(map(len,coords),'i')
+  grid   = np.array(list(map(len,coords)),'i')
   size   = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner)                        # size from edge to edge = dim * n/(n-1) 
   size   = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1]))                             # spacing for grid==1 set to smallest among other spacings
   delta  = size/np.maximum(np.ones(3,'d'), grid)

processing/pre/geom_fromVoronoiTessellation.py

@@ -15,8 +15,7 @@ scriptID   = ' '.join([scriptName,damask.version])
 def meshgrid2(*arrs):
   """Code inspired by http://stackoverflow.com/questions/1827489/numpy-meshgrid-in-3d"""
   arrs = tuple(reversed(arrs))
-  arrs = tuple(arrs)
+  lens = np.array(list(map(len, arrs)))
-  lens = np.array(map(len, arrs))
   dim = len(arrs)
   ans = []
   for i, arr in enumerate(arrs):