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DAMASK_EICMD
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simplified

This commit is contained in:
Martin Diehl 2020-04-20 20:40:47 +02:00
parent 25d29bf438
commit a8b75a23c5
1 changed files with 7 additions and 7 deletions
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14
processing/pre/geom_fromVoronoiTessellation.py
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@ -24,22 +24,22 @@ def findClosestSeed(seeds, weights, point):
def Laguerre_tessellation(grid, size, seeds, weights, origin = np.zeros(3), periodic = True, cpus = 2): def Laguerre_tessellation(grid, size, seeds, weights, origin = np.zeros(3), periodic = True, cpus = 2):
if periodic: if periodic:
weights_p = np.tile(weights,27).flatten(order='F') # Laguerre weights (1,2,3,1,2,3,...,1,2,3) weights_p = np.tile(weights.squeeze(),27) # Laguerre weights (1,2,3,1,2,3,...,1,2,3)
seeds_p = np.vstack((seeds -np.array([size[0],0.,0.]),seeds, seeds +np.array([size[0],0.,0.]))) 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.,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]]))) seeds_p = np.vstack((seeds_p-np.array([0.,0.,size[2]]),seeds_p,seeds_p+np.array([0.,0.,size[2]])))
coords = damask.grid_filters.cell_coord0(grid*3,size*3,-origin-size).reshape(-1,3,order='F') coords = damask.grid_filters.cell_coord0(grid*3,size*3,-origin-size).reshape(-1,3)
else: else:
weights_p = weights.flatten() weights_p = weights.squeeze()
seeds_p = seeds seeds_p = seeds
coords = damask.grid_filters.cell_coord0(grid,size,-origin).reshape(-1,3,order='F') coords = damask.grid_filters.cell_coord0(grid,size,-origin).reshape(-1,3)
if cpus > 1: if cpus > 1:
pool = multiprocessing.Pool(processes = cpus) pool = multiprocessing.Pool(processes = cpus)
result = pool.map_async(partial(findClosestSeed,seeds_p,weights_p), [coord for coord in coords]) result = pool.map_async(partial(findClosestSeed,seeds_p,weights_p), [coord for coord in coords])
pool.close() pool.close()
pool.join() pool.join()
closest_seed = np.array(result.get()) closest_seed = np.array(result.get()).reshape(-1,3)
else: else:
closest_seed= np.array([findClosestSeed(seeds_p,weights_p,coord) for coord in coords]) closest_seed= np.array([findClosestSeed(seeds_p,weights_p,coord) for coord in coords])
@ -52,7 +52,7 @@ def Laguerre_tessellation(grid, size, seeds, weights, origin = np.zeros(3), peri
def Voronoi_tessellation(grid, size, seeds, origin = np.zeros(3), periodic = True): def Voronoi_tessellation(grid, size, seeds, origin = np.zeros(3), periodic = True):
coords = damask.grid_filters.cell_coord0(grid,size,-origin).reshape(-1,3,order='F') coords = damask.grid_filters.cell_coord0(grid,size,-origin).reshape(-1,3)
KDTree = spatial.cKDTree(seeds,boxsize=size) if periodic else spatial.cKDTree(seeds) KDTree = spatial.cKDTree(seeds,boxsize=size) if periodic else spatial.cKDTree(seeds)
devNull,closest_seed = KDTree.query(coords) devNull,closest_seed = KDTree.query(coords)
@ -224,7 +224,7 @@ for name in filenames:
header = [scriptID + ' ' + ' '.join(sys.argv[1:])]\ header = [scriptID + ' ' + ' '.join(sys.argv[1:])]\
+ config_header + config_header
geom = damask.Geom(indices.reshape(grid,order='F'),size,origin, geom = damask.Geom(indices.reshape(grid),size,origin,
homogenization=options.homogenization,comments=header) homogenization=options.homogenization,comments=header)
damask.util.croak(geom) damask.util.croak(geom)