no need for Fortran order forward/backward

This commit is contained in:
Martin Diehl 2020-04-20 20:24:55 +02:00
parent 1ccda22ae3
commit 25d29bf438
1 changed files with 6 additions and 6 deletions

View File

@ -355,11 +355,11 @@ class Geom:
seeds_p = np.vstack((seeds -np.array([size[0],0.,0.]),seeds, seeds +np.array([size[0],0.,0.])))
seeds_p = np.vstack((seeds_p-np.array([0.,size[1],0.]),seeds_p,seeds_p+np.array([0.,size[1],0.])))
seeds_p = np.vstack((seeds_p-np.array([0.,0.,size[2]]),seeds_p,seeds_p+np.array([0.,0.,size[2]])))
coords = grid_filters.cell_coord0(grid*3,size*3,-size).reshape(-1,3,order='F')
coords = grid_filters.cell_coord0(grid*3,size*3,-size).reshape(-1,3)
else:
weights_p = weights
seeds_p = seeds
coords = grid_filters.cell_coord0(grid,size).reshape(-1,3,order='F')
coords = grid_filters.cell_coord0(grid,size).reshape(-1,3)
pool = multiprocessing.Pool(processes = int(Environment().options['DAMASK_NUM_THREADS']))
result = pool.map_async(partial(Geom._find_closest_seed,seeds_p,weights_p), [coord for coord in coords])
@ -368,10 +368,10 @@ class Geom:
microstructure = np.array(result.get())
if periodic:
microstructure = microstructure.reshape(grid*3,order='F')
microstructure = microstructure.reshape(grid*3)
microstructure = microstructure[grid[0]:grid[0]*2,grid[1]:grid[1]*2,grid[2]:grid[2]*2]%seeds.shape[0]
else:
microstructure = microstructure.reshape(grid,order='F')
microstructure = microstructure.reshape(grid)
#comments = 'geom.py:from_Laguerre_tessellation v{}'.format(version)
return Geom(microstructure+1,size,homogenization=1)
@ -394,12 +394,12 @@ class Geom:
perform a periodic tessellation. Defaults to True.
"""
coords = grid_filters.cell_coord0(grid,size).reshape(-1,3,order='F')
coords = grid_filters.cell_coord0(grid,size).reshape(-1,3)
KDTree = spatial.cKDTree(seeds,boxsize=size) if periodic else spatial.cKDTree(seeds)
devNull,microstructure = KDTree.query(coords)
#comments = 'geom.py:from_Voronoi_tessellation v{}'.format(version)
return Geom(microstructure.reshape(grid,order='F')+1,size,homogenization=1)
return Geom(microstructure.reshape(grid)+1,size,homogenization=1)
def to_file(self,fname,pack=None):