diff --git a/processing/post/addDeformedConfiguration.py b/processing/post/addDeformedConfiguration.py deleted file mode 100755 index 3fb39ee0d..000000000 --- a/processing/post/addDeformedConfiguration.py +++ /dev/null @@ -1,164 +0,0 @@ -#!/usr/bin/env python -# -*- coding: UTF-8 no BOM -*- - -import os,sys,math -import numpy as np -from optparse import OptionParser -import damask - -scriptName = os.path.splitext(os.path.basename(__file__))[0] -scriptID = ' '.join([scriptName,damask.version]) - -#-------------------------------------------------------------------------------------------------- -def deformedCoordsFFT(F,undeformed=False): - - wgt = 1.0/grid.prod() - integrator = np.array([0.+1.j,0.+1.j,0.+1.j],'c16') * size/ 2.0 / math.pi - step = size/grid - - F_fourier = np.fft.rfftn(F,axes=(0,1,2)) - coords_fourier = np.zeros(F_fourier.shape[0:4],'c16') - - if undeformed: - Favg=np.eye(3) - else: - Favg=np.real(F_fourier[0,0,0,:,:])*wgt -#-------------------------------------------------------------------------------------------------- -# integration in Fourier space - k_s = np.zeros([3],'i') - for i in xrange(grid[2]): - k_s[2] = i - if(i > grid[2]//2 ): k_s[2] = k_s[2] - grid[2] - for j in xrange(grid[1]): - k_s[1] = j - if(j > grid[1]//2 ): k_s[1] = k_s[1] - grid[1] - for k in xrange(grid[0]//2+1): - k_s[0] = k - for m in xrange(3): - coords_fourier[i,j,k,m] = sum(F_fourier[i,j,k,m,0:3]*k_s*integrator) - if (any(k_s != 0)): - coords_fourier[i,j,k,0:3] /= -sum(k_s*k_s) - -#-------------------------------------------------------------------------------------------------- -# add average to scaled fluctuation and put (0,0,0) on (0,0,0) - coords = np.fft.irfftn(coords_fourier,F.shape[0:3],axes=(0,1,2)) - - offset_coords = np.dot(F[0,0,0,:,:],step/2.0) - scaling*coords[0,0,0,0:3] - for z in xrange(grid[2]): - for y in xrange(grid[1]): - for x in xrange(grid[0]): - coords[z,y,x,0:3] = scaling*coords[z,y,x,0:3] \ - + offset_coords \ - + np.dot(Favg,step*np.array([x,y,z])) - - return coords - -# -------------------------------------------------------------------- -# MAIN -# -------------------------------------------------------------------- - -parser = OptionParser(option_class=damask.extendableOption, usage='%prog options file[s]', description = """ -Add deformed configuration of given initial coordinates. -Operates on periodic three-dimensional x,y,z-ordered data sets. - -""", version = scriptID) - -parser.add_option('-f', '--defgrad',dest='defgrad', metavar = 'string', - help='heading of deformation gradient columns [%default]') -parser.add_option('--reference', dest='undeformed', action='store_true', - help='map results to reference (undeformed) average configuration [%default]') -parser.add_option('--scaling', dest='scaling', action='extend', metavar = '', - help='scaling of fluctuation') -parser.add_option('-u', '--unitlength', dest='unitlength', type='float', metavar = 'float', - help='set unit length for 2D model [%default]') -parser.add_option('--coordinates', dest='coords', metavar='string', - help='column heading for coordinates [%default]') - -parser.set_defaults(defgrad = 'f') -parser.set_defaults(coords = 'ipinitialcoord') -parser.set_defaults(scaling = []) -parser.set_defaults(undeformed = False) -parser.set_defaults(unitlength = 0.0) - -(options,filenames) = parser.parse_args() - -options.scaling += [1.0 for i in xrange(max(0,3-len(options.scaling)))] -scaling = map(float, options.scaling) - - -# --- loop over input files ------------------------------------------------------------------------- - -if filenames == []: filenames = [None] - -for name in filenames: - try: - table = damask.ASCIItable(name = name, - buffered = False) - except: continue - damask.util.report(scriptName,name) - -# ------------------------------------------ read header ------------------------------------------ - - table.head_read() - -# ------------------------------------------ sanity checks ---------------------------------------- - - errors = [] - remarks = [] - - if table.label_dimension(options.coords) != 3: errors.append('coordinates {} are not a vector.'.format(options.coords)) - else: colCoord = table.label_index(options.coords) - - if table.label_dimension(options.defgrad) != 9: errors.append('deformation gradient {} is not a tensor.'.format(options.defgrad)) - else: colF = table.label_index(options.defgrad) - - if remarks != []: damask.util.croak(remarks) - if errors != []: - damask.util.croak(errors) - table.close(dismiss = True) - continue - -# --------------- figure out size and grid --------------------------------------------------------- - - table.data_readArray() - - coords = [np.unique(table.data[:,colCoord+i]) for i in xrange(3)] - mincorner = np.array(map(min,coords)) - maxcorner = np.array(map(max,coords)) - grid = np.array(map(len,coords),'i') - size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1) - size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 set to smallest among other spacings - - N = grid.prod() - - if N != len(table.data): errors.append('data count {} does not match grid {}x{}x{}.'.format(N,*grid)) - if errors != []: - damask.util.croak(errors) - table.close(dismiss = True) - continue - -# ------------------------------------------ assemble header --------------------------------------- - - table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:])) - for coord in xrange(3): - label = '{}_{}_{}'.format(coord+1,options.defgrad,options.coords) - if np.any(scaling) != 1.0: label+='_{}_{}_{}'.format(scaling) - if options.undeformed: label+='_undeformed' - table.labels_append([label]) # extend ASCII header with new labels - table.head_write() - -# ------------------------------------------ read deformation gradient field ----------------------- - centroids = deformedCoordsFFT(table.data[:,colF:colF+9].reshape(grid[2],grid[1],grid[0],3,3), - options.undeformed) -# ------------------------------------------ process data ------------------------------------------ - table.data_rewind() - for z in xrange(grid[2]): - for y in xrange(grid[1]): - for x in xrange(grid[0]): - table.data_read() - table.data_append(list(centroids[z,y,x,:])) - table.data_write() - -# ------------------------------------------ output finalization ----------------------------------- - - table.close() # close ASCII tables \ No newline at end of file diff --git a/processing/post/nodesAroundCentres.py b/processing/post/nodesAroundCentres.py deleted file mode 100644 index 3a2624b16..000000000 --- a/processing/post/nodesAroundCentres.py +++ /dev/null @@ -1,152 +0,0 @@ -#!/usr/bin/env python -# -*- coding: UTF-8 no BOM -*- - -import os,sys,math,string -import numpy as np -from optparse import OptionParser -import damask - -scriptID = string.replace('$Id: addDeformedConfiguration.py 4500 2015-09-24 09:24:42Z MPIE\m.diehl $','\n','\\n') -scriptName = os.path.splitext(scriptID.split()[1])[0] - -#-------------------------------------------------------------------------------------------------- -def nodesAroundCentres(gDim,Favg,centres): -#-------------------------------------------------------------------------------------------------- - neighbor = np.array([0, 0, 0, - 1, 0, 0, - 1, 1, 0, - 0, 1, 0, - 0, 0, 1, - 1, 0, 1, - 1, 1, 1, - 0, 1, 1]).reshape(8,3) - -#-------------------------------------------------------------------------------------------------- -# building wrappedCentres = centroids + ghosts - diag = np.ones([3]) - wrappedCentres = np.zeros([3,grid[0]+2,grid[1]+2,grid[2]+2]) - wrappedCentres[0:3,1:grid[0]+1,1:grid[1]+1,1:grid[2]+1] = centres - for k in xrange(grid[2]+2): - for j in xrange(grid[1]+2): - for i in xrange(grid[0]+2): - if (k in [0,grid[2]+1] or j in [0,grid[1]+1] or i in[0,grid[0]+1]): - me = np.array([i,j,k],'i') # me on skin - shift = abs(grid+np.ones([3],'i')-2*me)/(grid+np.ones([3],'i'))*\ - np.sign(grid+np.ones([3],'i')-2*me) - lookup = np.array(me-diag+shift*grid,'i') - wrappedCentres[0:3,i, j, k] = \ - centres[0:3,lookup[0],lookup[1],lookup[2]] - np.dot(Favg, shift*gDim) - -#-------------------------------------------------------------------------------------------------- -# averaging - nodes = np.zeros([3,grid[0]+1,grid[1]+1,grid[2]+1]) - for k in xrange(grid[2]+1): - for j in xrange(grid[1]+1): - for i in xrange(grid[0]+1): - for n in xrange(8): - nodes[0:3,i,j,k] = \ - nodes[0:3,i,j,k] + wrappedCentres[0:3,i+neighbor[n,0],j+neighbor[n,1],k+neighbor[n,2] ] - - return nodes/8.0 - -# -------------------------------------------------------------------- -# MAIN -# -------------------------------------------------------------------- - -parser = OptionParser(option_class=damask.extendableOption, usage='%prog options file[s]', description = """ -Add deformed configuration of given initial coordinates. -Operates on periodic three-dimensional x,y,z-ordered data sets. - -""", version = scriptID) - -parser.add_option('-f', '--defgrad',dest='defgrad', metavar = 'string', - help='heading of deformation gradient columns [%default]') -parser.add_option('-u', '--unitlength', dest='unitlength', type='float', metavar = 'float', - help='set unit length for 2D model [%default]') - -parser.set_defaults(deformed = 'ipinitialcoord') -parser.set_defaults(unitlength = 0.0) - -(options,filenames) = parser.parse_args() - -options.scaling += [1.0 for i in xrange(max(0,3-len(options.scaling)))] -scaling = map(float, options.scaling) - - -# --- loop over input files ------------------------------------------------------------------------- - -if filenames == []: filenames = [None] - -for name in filenames: - try: - table = damask.ASCIItable(name = name, - buffered = False) - except: continue - damask.util.report(scriptName,name) - -# ------------------------------------------ read header ------------------------------------------ - - table.head_read() - -# ------------------------------------------ sanity checks ---------------------------------------- - - errors = [] - remarks = [] - - if table.label_dimension(options.coords) != 3: errors.append('coordinates {} are not a vector.'.format(options.coords)) - else: colCoord = table.label_index(options.coords) - - if table.label_dimension(options.defgrad) != 9: errors.append('deformation gradient {} is not a tensor.'.format(options.defgrad)) - else: colF = table.label_index(options.defgrad) - - if remarks != []: damask.util.croak(remarks) - if errors != []: - damask.util.croak(errors) - table.close(dismiss = True) - continue - -# --------------- figure out size and grid --------------------------------------------------------- - - table.data_readArray() - - coords = [np.unique(table.data[:,colCoord+i]) for i in xrange(3)] - mincorner = np.array(map(min,coords)) - maxcorner = np.array(map(max,coords)) - grid = np.array(map(len,coords),'i') - size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1) - size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 equal to smallest among other spacings - - N = grid.prod() - - if N != len(table.data): errors.append('data count {} does not match grid {}x{}x{}.'.format(N,*grid)) - if errors != []: - damask.util.croak(errors) - table.close(dismiss = True) - continue - -# ------------------------------------------ assemble header --------------------------------------- - - table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:])) - for coord in xrange(3): - label = '{}_{}_{}'.format(coord+1,options.defgrad,options.coords) - if np.any(scaling) != 1.0: label+='_{}_{}_{}'.format(scaling) - if options.undeformed: label+='_undeformed' - table.labels_append([label]) # extend ASCII header with new labels - table.head_write() - -# ------------------------------------------ read deformation gradient field ----------------------- - centroids,Favg = deformedCoordsFFT(table.data[:,colF:colF+9].reshape(grid[0],grid[1],grid[2],3,3)) - -# ------------------------------------------ process data ------------------------------------------ - table.data_rewind() - idx = 0 - outputAlive = True - while outputAlive and table.data_read(): # read next data line of ASCII table - (x,y,z) = damask.util.gridLocation(idx,grid) # figure out (x,y,z) position from line count - idx += 1 - table.data_append(list(centroids[z,y,x,:])) - outputAlive = table.data_write() - -# ------------------------------------------ output finalization ----------------------------------- - - table.close() # close ASCII tables