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DAMASK_EICMD
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numpy meshgrid can do this now

This commit is contained in:
Martin Diehl 2019-05-30 09:44:40 +02:00
parent 4e0e5a2329
commit 73df615ff3
1 changed files with 9 additions and 25 deletions
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34
processing/pre/geom_fromVoronoiTessellation.py
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@ -10,28 +10,11 @@ from scipy import spatial
import damask import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0] scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version]) scriptID = ' '.join([scriptName,damask.version])
def meshgrid2(*arrs):
"""Code inspired by http://stackoverflow.com/questions/1827489/numpy-meshgrid-in-3d"""
arrs = tuple(reversed(arrs))
lens = np.array(list(map(len, arrs)))
dim = len(arrs)
ans = []
for i, arr in enumerate(arrs):
slc = np.ones(dim,'i')
slc[i] = lens[i]
arr2 = np.asarray(arr).reshape(slc)
for j, sz in enumerate(lens):
if j != i:
arr2 = arr2.repeat(sz, axis=j)
ans.insert(0,arr2)
return tuple(ans)
def laguerreTessellation(undeformed, coords, weights, grains, periodic = True, cpus = 2): def laguerreTessellation(undeformed, coords, weights, grains, periodic = True, cpus = 2):
def findClosestSeed(fargs): def findClosestSeed(fargs):
@ -284,14 +267,14 @@ for name in filenames:
x = (np.arange(info['grid'][0])+0.5)*info['size'][0]/info['grid'][0] x = (np.arange(info['grid'][0])+0.5)*info['size'][0]/info['grid'][0]
y = (np.arange(info['grid'][1])+0.5)*info['size'][1]/info['grid'][1] y = (np.arange(info['grid'][1])+0.5)*info['size'][1]/info['grid'][1]
z = (np.arange(info['grid'][2])+0.5)*info['size'][2]/info['grid'][2] z = (np.arange(info['grid'][2])+0.5)*info['size'][2]/info['grid'][2]
X,Y,Z = np.meshgrid(x, y, z,indexing='ij')
grid = np.stack((X,Y,Z),axis=-1).reshape((info['grid'].prod(),3),order='F')
damask.util.croak('tessellating...') damask.util.croak('tessellating...')
grid = np.vstack(meshgrid2(x, y, z)).reshape(3,-1).T
indices = laguerreTessellation(grid, coords, weights, grains, options.periodic, options.cpus) indices = laguerreTessellation(grid, coords, weights, grains, options.periodic, options.cpus)
config_header = [] config_header = []
formatwidth = 1+int(np.log10(NgrainIDs)) formatwidth = 1+int(np.floor(np.log10(np.nanmax(NgrainIDs)-1)))
if options.config: if options.config:
config_header += ['<microstructure>'] config_header += ['<microstructure>']
@ -302,16 +285,17 @@ for name in filenames:
] ]
if hasEulers: if hasEulers:
config_header += ['<texture>'] config_header += ['<texture>']
theAxes = [] if options.axes is None else ['axes\t{} {} {}'.format(*options.axes)]
for ID in grainIDs: for ID in grainIDs:
eulerID = np.nonzero(grains == ID)[0][0] # find first occurrence of this grain id eulerID = np.nonzero(grains == ID)[0][0] # find first occurrence of this grain id
config_header += ['[Grain{}]'.format(str(ID).zfill(formatwidth)), config_header += ['[Grain{}]'.format(str(ID).zfill(formatwidth)),
'(gauss)\tphi1 {:g}\tPhi {:g}\tphi2 {:g}'.format(*eulers[eulerID]) '(gauss)\tphi1 {:g}\tPhi {:g}\tphi2 {:g}'.format(*eulers[eulerID])
] + theAxes ]
if options.axes is not None: config_header += ['axes\t{} {} {}'.format(*options.axes)]
config_header += ['<!skip>'] config_header += ['<!skip>']
header = [scriptID + ' ' + ' '.join(sys.argv[1:])] + config_header + ['origin x {} y {} z {}'.format(*info['origin'])] header = [scriptID + ' ' + ' '.join(sys.argv[1:])]\
geom = damask.Geom(indices.reshape(info['grid'],order='F'),info['size'], + config_header
geom = damask.Geom(indices.reshape(info['grid'],order='F'),info['size'],info['origin'],
homogenization=options.homogenization,comments=header) homogenization=options.homogenization,comments=header)
damask.util.croak(geom) damask.util.croak(geom)