removed Geom.homogenization from shell scripts

PRIVATE

@@ -1 +1 @@
-Subproject commit fa2885da8604c3ac46f64670393f04678dd1f45b
+Subproject commit 86f77da4aec6cb52bbcc2724f00a6cf6a7dc6e91

processing/pre/geom_fromDREAM3D.py

@@ -52,16 +52,11 @@ parser.add_option('-q', '--quaternion',
                   type = 'string',
                   metavar='string',
                   help = 'name of the dataset containing pointwise/average orientation as quaternion [%default]')
-parser.add_option('--homogenization',
-                  dest = 'homogenization',
-                  type = 'int', metavar = 'int',
-                  help = 'homogenization index to be used [%default]')
 
 parser.set_defaults(pointwise      = 'CellData',
                     quaternion     = 'Quats',
                     phase          = 'Phases',
                     microstructure = 'FeatureIds',
-                    homogenization = 1,
                    )
 
 (options, filenames) = parser.parse_args()
@@ -150,8 +145,7 @@ for name in filenames:
 
   header = [scriptID + ' ' + ' '.join(sys.argv[1:])]\
          + config_header
-  geom = damask.Geom(microstructure,size,origin,
+  geom = damask.Geom(microstructure,size,origin,comments=header)
-                     homogenization=options.homogenization,comments=header)
   damask.util.croak(geom)
 
   geom.save_ASCII(os.path.splitext(name)[0]+'.geom',compress=False)

processing/pre/geom_fromMinimalSurface.py

@@ -52,10 +52,6 @@ parser.add_option('-p', '--periods',
                   dest = 'periods',
                   type = 'int', metavar = 'int',
                   help = 'number of repetitions of unit cell [%default]')
-parser.add_option('--homogenization',
-                  dest = 'homogenization',
-                  type = 'int', metavar = 'int',
-                  help = 'homogenization index to be used [%default]')
 parser.add_option('--m',
                   dest = 'microstructure',
                   type = 'int', nargs = 2, metavar = 'int int',
@@ -66,7 +62,6 @@ parser.set_defaults(type = minimal_surfaces[0],
                     periods = 1,
                     grid = (16,16,16),
                     size = (1.0,1.0,1.0),
-                    homogenization = 1,
                     microstructure = (1,2),
                    )
 
@@ -85,7 +80,6 @@ microstructure = np.where(options.threshold < surface[options.type](x,y,z),
                           options.microstructure[1],options.microstructure[0])
 
 geom=damask.Geom(microstructure,options.size,
-                 homogenization=options.homogenization,
                  comments=[scriptID + ' ' + ' '.join(sys.argv[1:])])
 damask.util.croak(geom)
 

processing/pre/geom_fromOsteonGeometry.py

@@ -57,10 +57,6 @@ parser.add_option('-w', '--omega',
                   dest='omega',
                   type='float', metavar = 'float',
                   help='rotation angle around normal of osteon [%default]')
-parser.add_option(      '--homogenization',
-                  dest='homogenization',
-                  type='int', metavar = 'int',
-                  help='homogenization index to be used [%default]')
 
 parser.set_defaults(canal = 25e-6,
                     osteon = 100e-6,
@@ -70,7 +66,7 @@ parser.set_defaults(canal = 25e-6,
                     amplitude = 60,
                     size = (300e-6,300e-6),
                     grid = (512,512),
-                    homogenization = 1)
+                   )
 
 (options,filename) = parser.parse_args()
 
@@ -139,7 +135,7 @@ header = [scriptID + ' ' + ' '.join(sys.argv[1:])]\
        + config_header
 geom = damask.Geom(microstructure.reshape(grid),
                    size,-size/2,
-                   homogenization=options.homogenization,comments=header)
+                   comments=header)
 damask.util.croak(geom)
 
 geom.save_ASCII(sys.stdout if name is None else name,compress=False)

processing/pre/geom_fromTable.py

@@ -44,14 +44,9 @@ parser.add_option('--axes',
                   dest = 'axes',
                   type = 'string', nargs = 3, metavar = ' '.join(['string']*3),
                   help = 'orientation coordinate frame in terms of position coordinate frame [+x +y +z]')
-parser.add_option('--homogenization',
-                  dest = 'homogenization',
-                  type = 'int', metavar = 'int',
-                  help = 'homogenization index to be used [%default]')
 
 
-parser.set_defaults(homogenization = 1,
+parser.set_defaults(pos            = 'pos',
-                    pos            = 'pos',
                    )
 
 (options,filenames) = parser.parse_args()
@@ -102,7 +97,7 @@ for name in filenames:
     header = [scriptID + ' ' + ' '.join(sys.argv[1:])]\
            + config_header
     geom = damask.Geom(microstructure,size,origin,
-                       homogenization=options.homogenization,comments=header)
+                       comments=header)
     damask.util.croak(geom)
 
     geom.save_ASCII(sys.stdout if name is None else os.path.splitext(name)[0]+'.geom',compress=False)

processing/pre/geom_fromVoronoiTessellation.py

@@ -142,10 +142,6 @@ group.add_option('--without-config',
                  dest = 'config',
                  action = 'store_false',
                  help = 'omit material configuration header')
-group.add_option('--homogenization',
-                 dest = 'homogenization',
-                 type = 'int', metavar = 'int',
-                 help = 'homogenization index to be used [%default]')
 group.add_option('--phase',
                  dest = 'phase',
                  type = 'int', metavar = 'int',
@@ -157,7 +153,6 @@ parser.set_defaults(pos            = 'pos',
                     weight         = 'weight',
                     microstructure = 'microstructure',
                     eulers         = 'euler',
-                    homogenization = 1,
                     phase          = 1,
                     cpus           = 2,
                     laguerre       = False,
@@ -225,7 +220,7 @@ for name in filenames:
     header = [scriptID + ' ' + ' '.join(sys.argv[1:])]\
            + config_header
     geom = damask.Geom(indices.reshape(grid),size,origin,
-                       homogenization=options.homogenization,comments=header)
+                       comments=header)
     damask.util.croak(geom)
 
     geom.save_ASCII(sys.stdout if name is None else os.path.splitext(name)[0]+'.geom',compress=False)

processing/pre/geom_grainGrowth.py

@@ -41,7 +41,7 @@ parser.add_option('-N', '--iterations',
                   help = 'curvature flow iterations [%default]')
 parser.add_option('-i', '--immutable',
                   action = 'extend', dest = 'immutable', metavar = '<int LIST>',
-                  help = 'list of immutable microstructure indices')
+                  help = 'list of immutable material indices')
 parser.add_option('--ndimage',
                   dest = 'ndimage', action='store_true',
                   help = 'use ndimage.gaussian_filter in lieu of explicit FFT')
@@ -66,13 +66,13 @@ for name in filenames:
 
   grid_original = geom.grid
   damask.util.croak(geom)
-  microstructure = np.tile(geom.microstructure,np.where(grid_original == 1, 2,1))                   # make one copy along dimensions with grid == 1
+  materials = np.tile(geom.materials,np.where(grid_original == 1, 2,1))                   # make one copy along dimensions with grid == 1
-  grid = np.array(microstructure.shape)
+  grid = np.array(materials.shape)
 
 # --- initialize support data ---------------------------------------------------------------------
 
-# store a copy the initial microstructure to find locations of immutable indices
+# store a copy of the initial material indices to find locations of immutable indices
-  microstructure_original = np.copy(microstructure)
+  materials_original = np.copy(materials)
 
   if not options.ndimage:
     X,Y,Z = np.mgrid[0:grid[0],0:grid[1],0:grid[2]]
@@ -88,14 +88,14 @@ for name in filenames:
 
   for smoothIter in range(options.N):
 
-    interfaceEnergy = np.zeros(microstructure.shape,dtype=np.float32)
+    interfaceEnergy = np.zeros(materials.shape,dtype=np.float32)
     for i in (-1,0,1):
       for j in (-1,0,1):
         for k in (-1,0,1):
           # assign interfacial energy to all voxels that have a differing neighbor (in Moore neighborhood)
           interfaceEnergy = np.maximum(interfaceEnergy,
-                                       getInterfaceEnergy(microstructure,np.roll(np.roll(np.roll(
+                                       getInterfaceEnergy(materials,np.roll(np.roll(np.roll(
-                                                          microstructure,i,axis=0), j,axis=1), k,axis=2)))
+                                                          materials,i,axis=0), j,axis=1), k,axis=2)))
 
     # periodically extend interfacial energy array by half a grid size in positive and negative directions
     periodic_interfaceEnergy = np.tile(interfaceEnergy,(3,3,3))[grid[0]//2:-grid[0]//2,
@@ -143,33 +143,35 @@ for name in filenames:
                                                       return_distances = False,
                                                       return_indices = True)                        # want index of closest bulk grain
 
-    periodic_microstructure = np.tile(microstructure,(3,3,3))[grid[0]//2:-grid[0]//2,
+    periodic_materials = np.tile(materials,(3,3,3))[grid[0]//2:-grid[0]//2,
                                                     grid[1]//2:-grid[1]//2,
-                                                              grid[2]//2:-grid[2]//2]                # periodically extend the microstructure
+                                                    grid[2]//2:-grid[2]//2]                         # periodically extend the geometry
 
-    microstructure = periodic_microstructure[index[0],
+    materials = periodic_materials[index[0],
                                    index[1],
                                    index[2]].reshape(2*grid)[grid[0]//2:-grid[0]//2,
                                                              grid[1]//2:-grid[1]//2,
                                                              grid[2]//2:-grid[2]//2]                # extent grains into interface region
 
-    # replace immutable microstructures with closest mutable ones
+    # replace immutable materials with closest mutable ones
-    index = ndimage.morphology.distance_transform_edt(np.in1d(microstructure,options.immutable).reshape(grid),
+    index = ndimage.morphology.distance_transform_edt(np.in1d(materials,options.immutable).reshape(grid),
                                                       return_distances = False,
                                                       return_indices = True)
-    microstructure = microstructure[index[0],
+    materials = materials[index[0],
                           index[1],
                           index[2]]
 
-    immutable = np.zeros(microstructure.shape, dtype=np.bool)
+    immutable = np.zeros(materials.shape, dtype=np.bool)
-    # find locations where immutable microstructures have been in original structure
+    # find locations where immutable materials have been in original structure
     for micro in options.immutable:
-      immutable += microstructure_original == micro
+      immutable += materials_original == micro
 
-    # undo any changes involving immutable microstructures
+    # undo any changes involving immutable materials
-    microstructure = np.where(immutable, microstructure_original,microstructure)
+    materials = np.where(immutable, materials_original,materials)
 
-  geom = geom.duplicate(microstructure[0:grid_original[0],0:grid_original[1],0:grid_original[2]])
+  damask.Geom(materials = materials[0:grid_original[0],0:grid_original[1],0:grid_original[2]],
-  geom.add_comments(scriptID + ' ' + ' '.join(sys.argv[1:]))
+              size      = geom.size,
-
+              origin    = geom.origin,
-  geom.save_ASCII(sys.stdout if name is None else name,compress=False)
+              comments  = geom.comments + [scriptID + ' ' + ' '.join(sys.argv[1:])],
+             )\
+        .save_ASCII(sys.stdout if name is None else name,compress=False)

processing/pre/seeds_fromDistribution.py

@@ -30,7 +30,7 @@ class myThread (threading.Thread):
   def run(self):
     global bestSeedsUpdate
     global bestSeedsVFile
-    global nMicrostructures
+    global nMaterials
     global delta
     global points
     global target
@@ -70,7 +70,7 @@ class myThread (threading.Thread):
         selectedMs = []
         direction = []
         for i in range(NmoveGrains):
-          selectedMs.append(random.randrange(1,nMicrostructures))
+          selectedMs.append(random.randrange(1,nMaterials))
 
           direction.append((np.random.random()-0.5)*delta)
 
@@ -101,11 +101,11 @@ class myThread (threading.Thread):
 
 #--- evaluate current seeds file ------------------------------------------------------------------
       perturbedGeom = damask.Geom.load_ASCII(perturbedGeomVFile)
-      myNmicrostructures = len(np.unique(perturbedGeom.microstructure))
+      myNmaterials = len(np.unique(perturbedGeom.materials))
-      currentData=np.bincount(perturbedGeom.microstructure.ravel())[1:]/points
+      currentData=np.bincount(perturbedGeom.materials.ravel())[1:]/points
       currentError=[]
       currentHist=[]
-      for i in range(nMicrostructures):                                                             # calculate the deviation in all bins per histogram
+      for i in range(nMaterials):                                                             # calculate the deviation in all bins per histogram
         currentHist.append(np.histogram(currentData,bins=target[i]['bins'])[0])
         currentError.append(np.sqrt(np.square(np.array(target[i]['histogram']-currentHist[i])).sum()))
 
@@ -117,12 +117,12 @@ class myThread (threading.Thread):
       bestMatch = match
 #--- count bin classes with no mismatch ----------------------------------------------------------------------
       myMatch=0
-      for i in range(nMicrostructures):
+      for i in range(nMaterials):
         if currentError[i] > 0.0: break
         myMatch = i+1
 
-      if myNmicrostructures == nMicrostructures:
+      if myNmaterials == nMaterials:
-        for i in range(min(nMicrostructures,myMatch+options.bins)):
+        for i in range(min(nMaterials,myMatch+options.bins)):
           if currentError[i] > target[i]['error']:                                                  # worse fitting, next try
             randReset = True
             break
@@ -141,25 +141,25 @@ class myThread (threading.Thread):
               for line in perturbedSeedsVFile:
                 currentSeedsFile.write(line)
                 bestSeedsVFile.write(line)
-            for j in range(nMicrostructures):                                                       # save new errors for all bins
+            for j in range(nMaterials):                                                       # save new errors for all bins
               target[j]['error'] = currentError[j]
             if myMatch > match:                                                                     # one or more new bins have no deviation
               damask.util.croak( 'Stage {:d}  cleared'.format(myMatch))
               match=myMatch
               sys.stdout.flush()
             break
-          if i == min(nMicrostructures,myMatch+options.bins)-1:                                     # same quality as before: take it to keep on moving
+          if i == min(nMaterials,myMatch+options.bins)-1:                                     # same quality as before: take it to keep on moving
             bestSeedsUpdate = time.time()
             perturbedSeedsVFile.seek(0)
             bestSeedsVFile.close()
             bestSeedsVFile = StringIO()
             bestSeedsVFile.writelines(perturbedSeedsVFile.readlines())
-            for j in range(nMicrostructures):
+            for j in range(nMaterials):
               target[j]['error'] = currentError[j]
             randReset = True
       else:                                                                                         #--- not all grains are tessellated
-        damask.util.croak('Thread {:d}: Microstructure mismatch ({:d} microstructures mapped)'\
+        damask.util.croak('Thread {:d}: Material mismatch ({:d} material indices mapped)'\
-                                                         .format(self.threadID,myNmicrostructures))
+                                                         .format(self.threadID,myNmaterials))
         randReset = True
 
 
@@ -217,10 +217,10 @@ points = np.array(options.grid).prod().astype('float')
 
 # ----------- calculate target distribution and bin edges
 targetGeom = damask.Geom.load_ASCII(os.path.splitext(os.path.basename(options.target))[0]+'.geom')
-nMicrostructures = len(np.unique(targetGeom.microstructure))
+nMaterials = len(np.unique(targetGeom.materials))
-targetVolFrac = np.bincount(targetGeom.microstructure.flatten())/targetGeom.grid.prod().astype(np.float)
+targetVolFrac = np.bincount(targetGeom.materials.flatten())/targetGeom.grid.prod().astype(np.float)
 target = []
-for i in range(1,nMicrostructures+1):
+for i in range(1,nMaterials+1):
   targetHist,targetBins = np.histogram(targetVolFrac,bins=i) #bin boundaries
   target.append({'histogram':targetHist,'bins':targetBins})
 
@@ -233,7 +233,7 @@ else:
   bestSeedsVFile.write(damask.util.execute('seeds_fromRandom'+\
                                 ' -g '+' '.join(list(map(str, options.grid)))+\
                                 ' -r {:d}'.format(options.randomSeed)+\
-                                ' -N '+str(nMicrostructures))[0])
+                                ' -N '+str(nMaterials))[0])
 bestSeedsUpdate = time.time()
 
 # ----------- tessellate initial seed file to get and evaluate geom file
@@ -244,11 +244,11 @@ initialGeomVFile.write(damask.util.execute('geom_fromVoronoiTessellation '+
 initialGeomVFile.seek(0)
 initialGeom = damask.Geom.load_ASCII(initialGeomVFile)
 
-if len(np.unique(targetGeom.microstructure)) != nMicrostructures:
+if len(np.unique(targetGeom.materials)) != nMaterials:
-  damask.util.croak('error. Microstructure count mismatch')
+  damask.util.croak('error. Material count mismatch')
 
-initialData = np.bincount(initialGeom.microstructure.flatten())/points
+initialData = np.bincount(initialGeom.materials.flatten())/points
-for i in range(nMicrostructures):
+for i in range(nMaterials):
   initialHist = np.histogram(initialData,bins=target[i]['bins'])[0]
   target[i]['error']=np.sqrt(np.square(np.array(target[i]['histogram']-initialHist)).sum())
 
@@ -257,13 +257,13 @@ if target[0]['error'] > 0.0:
   target[0]['error'] *=((target[0]['bins'][0]-np.min(initialData))**2.0+
                         (target[0]['bins'][1]-np.max(initialData))**2.0)**0.5
 match=0
-for i in range(nMicrostructures):
+for i in range(nMaterials):
   if target[i]['error'] > 0.0: break
   match = i+1
 
 
 if options.maxseeds < 1:
-  maxSeeds = len(np.unique(initialGeom.microstructure))
+  maxSeeds = len(np.unique(initialGeom.materials))
 else:
   maxSeeds = options.maxseeds
 

processing/pre/seeds_fromGeom.py

@@ -61,7 +61,7 @@ for name in filenames:
                 'grid\ta {}\tb {}\tc {}'.format(*geom.grid),
                 'size\tx {}\ty {}\tz {}'.format(*geom.size),
                 'origin\tx {}\ty {}\tz {}'.format(*geom.origin),
-                'homogenization\t{}'.format(geom.homogenization)]
+                ]
 
     damask.Table(seeds[mask],{'pos':(3,)},comments)\
           .add('material',materials[mask].astype(int))\

processing/pre/seeds_fromPokes.py

@@ -76,7 +76,7 @@ for name in filenames:
                 g[2] = k + offset[2]
                 g %= geom.grid
                 seeds[n,0:3] = (g+0.5)/geom.grid                                                    # normalize coordinates to box
-                seeds[n,  3] = geom.microstructure[g[0],g[1],g[2]]
+                seeds[n,  3] = geom.materials[g[0],g[1],g[2]]
                 if options.x: g[0] += 1
                 if options.y: g[1] += 1
                 n += 1
@@ -88,9 +88,9 @@ for name in filenames:
                 'grid\ta {}\tb {}\tc {}'.format(*geom.grid),
                 'size\tx {}\ty {}\tz {}'.format(*geom.size),
                 'origin\tx {}\ty {}\tz {}'.format(*geom.origin),
-                'homogenization\t{}'.format(geom.homogenization)]
+               ]
 
-    table = damask.Table(seeds,{'pos':(3,),'microstructure':(1,)},comments)
+    table = damask.Table(seeds,{'pos':(3,),'material':(1,)},comments)
-    table.set('microstructure',table.get('microstructure').astype(np.int))\
+    table.set('material',table.get('material').astype(np.int))\
          .save(sys.stdout if name is None else \
                      os.path.splitext(name)[0]+f'_poked_{options.N}.seeds',legacy=True)