polishing

processing/pre/geom_fromVoronoiTessellation.py

@@ -13,13 +13,14 @@ from scipy import spatial
 import damask
 
 
-def findClosestSeed(seeds, weights, point):
-  return np.argmin(np.sum((np.broadcast_to(point,(len(seeds),3))-seeds)**2,axis=1) - weights)
-
 scriptName = os.path.splitext(os.path.basename(__file__))[0]
 scriptID   = ' '.join([scriptName,damask.version])
 
 
+def findClosestSeed(seeds, weights, point):
+    return np.argmin(np.sum((np.broadcast_to(point,(len(seeds),3))-seeds)**2,axis=1) - weights)
+
+
 def Laguerre_tessellation(grid, seeds, grains, size, periodic, weights, cpus):
 
     if periodic:

processing/pre/seeds_fromRandom.py

@@ -2,7 +2,6 @@
 
 import os
 import sys
-import random
 from optparse import OptionParser,OptionGroup
 
 import numpy as np
@@ -139,8 +138,8 @@ for name in filenames:
         i = 1
         progress = damask.util._ProgressBar(options.N,'',50)
         while i < options.N:
-            candidates = np.random.choice(unpicked[unpicked.mask==False],replace=False,
+            candidates = np.random.choice(unpicked[not unpicked.mask],replace=False,
-                                          size=min(len(unpicked[unpicked.mask==False]),options.numCandidates))
+                                          size=min(len(unpicked[not unpicked.mask]),options.numCandidates))
             tree = spatial.cKDTree(seeds[:i])
             distances, dev_null = tree.query(coords[candidates])
             best = distances.argmax()

python/damask/_config/__init__.py

@@ -1,5 +1,3 @@
-# -*- coding: UTF-8 no BOM -*-
+"""Aggregator for configuration file handling."""
-
-"""Aggregator for configuration file handling"""
 
 from .material import Material    # noqa