Merge branch 'development' of magit1.mpie.de:damask/DAMASK into miscImprovements

This commit is contained in:
Martin Diehl 2016-09-22 16:14:07 +02:00
commit e20623845a
4 changed files with 204 additions and 7 deletions

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@ -995,11 +995,17 @@ class Orientation:
relationModel, relationModel,
direction, direction,
targetSymmetry = None): targetSymmetry = None):
"""
orientation relationship
positive number: fcc --> bcc
negative number: bcc --> fcc
"""
if relationModel not in ['KS','GT','GTdash','NW','Pitsch','Bain']: return None if relationModel not in ['KS','GT','GTdash','NW','Pitsch','Bain']: return None
if int(direction) == 0: return None if int(direction) == 0: return None
# KS from S. Morito et al./Journal of Alloys and Compounds 5775 (2013) S587-S592 DOES THIS PAPER EXISTS? # KS from S. Morito et al./Journal of Alloys and Compounds 5775 (2013) S587-S592
# for KS rotation matrices also check K. Kitahara et al./Acta Materialia 54 (2006) 1279-1288
# GT from Y. He et al./Journal of Applied Crystallography (2006). 39, 72-81 # GT from Y. He et al./Journal of Applied Crystallography (2006). 39, 72-81
# GT' from Y. He et al./Journal of Applied Crystallography (2006). 39, 72-81 # GT' from Y. He et al./Journal of Applied Crystallography (2006). 39, 72-81
# NW from H. Kitahara et al./Materials Characterization 54 (2005) 378-386 # NW from H. Kitahara et al./Materials Characterization 54 (2005) 378-386
@ -1226,14 +1232,14 @@ class Orientation:
myPlane /= np.linalg.norm(myPlane) myPlane /= np.linalg.norm(myPlane)
myNormal = [float(i) for i in normals[relationModel][variant,me]] # map(float, planes[...]) does not work in python 3 myNormal = [float(i) for i in normals[relationModel][variant,me]] # map(float, planes[...]) does not work in python 3
myNormal /= np.linalg.norm(myNormal) myNormal /= np.linalg.norm(myNormal)
myMatrix = np.array([myPlane,myNormal,np.cross(myPlane,myNormal)]) myMatrix = np.array([myNormal,np.cross(myPlane,myNormal),myPlane]).T
otherPlane = [float(i) for i in planes[relationModel][variant,other]] # map(float, planes[...]) does not work in python 3 otherPlane = [float(i) for i in planes[relationModel][variant,other]] # map(float, planes[...]) does not work in python 3
otherPlane /= np.linalg.norm(otherPlane) otherPlane /= np.linalg.norm(otherPlane)
otherNormal = [float(i) for i in normals[relationModel][variant,other]] # map(float, planes[...]) does not work in python 3 otherNormal = [float(i) for i in normals[relationModel][variant,other]] # map(float, planes[...]) does not work in python 3
otherNormal /= np.linalg.norm(otherNormal) otherNormal /= np.linalg.norm(otherNormal)
otherMatrix = np.array([otherPlane,otherNormal,np.cross(otherPlane,otherNormal)]) otherMatrix = np.array([otherNormal,np.cross(otherPlane,otherNormal),otherPlane]).T
rot=np.dot(otherMatrix.T,myMatrix) rot=np.dot(otherMatrix,myMatrix.T)
return Orientation(matrix=np.dot(rot,self.asMatrix())) # no symmetry information ?? return Orientation(matrix=np.dot(rot,self.asMatrix())) # no symmetry information ??

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@ -0,0 +1,74 @@
#!/usr/bin/env python2.7
# -*- coding: UTF-8 no BOM -*-
import os,h5py
import numpy as np
from optparse import OptionParser
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
#--------------------------------------------------------------------------------------------------
# MAIN
#--------------------------------------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog [geomfile[s]]', description = """
Convert DREAM3D file to ASCIItable
""", version = scriptID)
(options, filenames) = parser.parse_args()
rootDir ='DataContainers/ImageDataContainer'
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: parser.error('no input file specified.')
for name in filenames:
try:
table = damask.ASCIItable(outname = os.path.splitext(name)[0]+'.txt',
buffered = False
)
except: continue
damask.util.report(scriptName,name)
inFile = h5py.File(name, 'r')
grid = inFile[rootDir+'/_SIMPL_GEOMETRY/DIMENSIONS'][...]
# --- read comments --------------------------------------------------------------------------------
coords = (np.mgrid[0:grid[2], 0:grid[1], 0: grid[0]]).reshape(3, -1).T
coords = (np.fliplr(coords)*inFile[rootDir+'/_SIMPL_GEOMETRY/SPACING'][...] \
+ inFile[rootDir+'/_SIMPL_GEOMETRY/ORIGIN'][...] \
+ inFile[rootDir+'/_SIMPL_GEOMETRY/SPACING'][...]*0.5)
table.data = np.hstack( (coords,
inFile[rootDir+'/CellData/EulerAngles'][...].reshape(grid.prod(),3),
inFile[rootDir+'/CellData/Phases'][...].reshape(grid.prod(),1),
inFile[rootDir+'/CellData/Confidence Index'][...].reshape(grid.prod(),1),
inFile[rootDir+'/CellData/Fit'][...].reshape(grid.prod(),1),
inFile[rootDir+'/CellData/Image Quality'][...].reshape(grid.prod(),1)))
labels = ['1_pos','2_pos','3_pos',
'1_Euler','2_Euler','3_Euler',
'PhaseID','CI','Fit','IQ']
try:
table.data = np.hstack((table.data, inFile[rootDir+'/CellData/FeatureIds'][...].reshape(grid.prod(),1)))
labels.append(['FeatureID'])
except Exception:
pass
# ------------------------------------------ assemble header ---------------------------------------
table.labels_clear()
table.labels_append(labels,reset = True)
table.head_write()
# ------------------------------------------ finalize output ---------------------------------------
table.data_writeArray() #(fmt='%e2.2')
table.close()

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@ -89,9 +89,9 @@ for name in filenames:
# Calculates gaussian weights for simulating 3d diffusion # Calculates gaussian weights for simulating 3d diffusion
gauss = np.exp(-(X*X + Y*Y + Z*Z)/(2.0*options.d*options.d))/math.pow(2.0*np.pi*options.d*options.d,1.5) gauss = np.exp(-(X*X + Y*Y + Z*Z)/(2.0*options.d*options.d))/math.pow(2.0*np.pi*options.d*options.d,1.5)
gauss[:,:,grid[2]/2::] = gauss[:,:,round(grid[2]/2.)-1::-1] # trying to cope with uneven (odd) grid size gauss[:,:,grid[2]/2::] = gauss[:,:,int(round(grid[2]/2.))-1::-1] # trying to cope with uneven (odd) grid size
gauss[:,grid[1]/2::,:] = gauss[:,round(grid[1]/2.)-1::-1,:] gauss[:,grid[1]/2::,:] = gauss[:,int(round(grid[1]/2.))-1::-1,:]
gauss[grid[0]/2::,:,:] = gauss[round(grid[0]/2.)-1::-1,:,:] gauss[grid[0]/2::,:,:] = gauss[int(round(grid[0]/2.))-1::-1,:,:]
gauss = np.fft.rfftn(gauss) gauss = np.fft.rfftn(gauss)
interfacialEnergy = lambda A,B: (A*B != 0)*(A != B)*1.0 #1.0 if A & B are distinct & nonzero, 0.0 otherwise interfacialEnergy = lambda A,B: (A*B != 0)*(A != B)*1.0 #1.0 if A & B are distinct & nonzero, 0.0 otherwise

117
processing/pre/geom_mirror.py Executable file
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@ -0,0 +1,117 @@
#!/usr/bin/env python2.7
# -*- coding: UTF-8 no BOM -*-
import os,sys,math
import numpy as np
import damask
from optparse import OptionParser
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
#--------------------------------------------------------------------------------------------------
# MAIN
#--------------------------------------------------------------------------------------------------
validDirections = ['x','y','z']
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [geomfile(s)]', description = """
Mirrors spectral geometry description along given directions.
""", version=scriptID)
parser.add_option('-d','--direction',
dest = 'directions',
action = 'extend', metavar = '<string LIST>',
help = "directions in which to mirror {'x','y','z'}")
(options, filenames) = parser.parse_args()
if options.directions is None:
parser.error('no direction given.')
if not set(options.directions).issubset(validDirections):
invalidDirections = [str(e) for e in set(options.directions).difference(validDirections)]
parser.error('invalid directions {}. '.format(*invalidDirections))
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
for name in filenames:
try:
table = damask.ASCIItable(name = name,
buffered = False, labeled = False)
except: continue
damask.util.report(scriptName,name)
# --- interpret header ----------------------------------------------------------------------------
table.head_read()
info,extra_header = table.head_getGeom()
damask.util.croak(['grid a b c: %s'%(' x '.join(map(str,info['grid']))),
'size x y z: %s'%(' x '.join(map(str,info['size']))),
'origin x y z: %s'%(' : '.join(map(str,info['origin']))),
'homogenization: %i'%info['homogenization'],
'microstructures: %i'%info['microstructures'],
])
errors = []
if np.any(info['grid'] < 1): errors.append('invalid grid a b c.')
if np.any(info['size'] <= 0.0): errors.append('invalid size x y z.')
if errors != []:
damask.util.croak(errors)
table.close(dismiss = True)
continue
# --- read data ------------------------------------------------------------------------------------
microstructure = table.microstructure_read(info['grid']).reshape(info['grid'],order='F') # read microstructure
if 'z' in options.directions:
microstructure = np.concatenate([microstructure,microstructure[:,:,::-1]],2)
if 'y' in options.directions:
microstructure = np.concatenate([microstructure,microstructure[:,::-1,:]],1)
if 'x' in options.directions:
microstructure = np.concatenate([microstructure,microstructure[::-1,:,:]],0)
# --- do work ------------------------------------------------------------------------------------
newInfo = {
'size': microstructure.shape*info['size']/info['grid'],
'grid': microstructure.shape,
}
# --- report ---------------------------------------------------------------------------------------
remarks = []
if (any(newInfo['grid'] != info['grid'])):
remarks.append('--> grid a b c: %s'%(' x '.join(map(str,newInfo['grid']))))
if (any(newInfo['size'] != info['size'])):
remarks.append('--> size x y z: %s'%(' x '.join(map(str,newInfo['size']))))
if remarks != []: damask.util.croak(remarks)
# --- write header ---------------------------------------------------------------------------------
table.labels_clear()
table.info_clear()
table.info_append([
scriptID + ' ' + ' '.join(sys.argv[1:]),
"grid\ta {grid[0]}\tb {grid[1]}\tc {grid[2]}".format(grid=newInfo['grid']),
"size\tx {size[0]}\ty {size[1]}\tz {size[2]}".format(size=newInfo['size']),
"origin\tx {origin[0]}\ty {origin[1]}\tz {origin[2]}".format(origin=info['origin']),
"homogenization\t{homog}".format(homog=info['homogenization']),
"microstructures\t{microstructures}".format(microstructures=info['microstructures']),
extra_header
])
table.head_write()
# --- write microstructure information ------------------------------------------------------------
formatwidth = int(math.floor(math.log10(microstructure.max())+1))
table.data = microstructure.reshape((newInfo['grid'][0],np.prod(newInfo['grid'][1:])),order='F').transpose()
table.data_writeArray('%%%ii'%(formatwidth),delimiter = ' ')
# --- output finalization --------------------------------------------------------------------------
table.close() # close ASCII table