Table class replaces ASCIItable class

This commit is contained in:
Martin Diehl 2019-12-21 15:12:01 +01:00
parent 0d975e7023
commit dd318c8d1d
4 changed files with 60 additions and 234 deletions

View File

@ -2,10 +2,10 @@
import os
import math
import sys
from optparse import OptionParser
import numpy as np
import scipy.ndimage
import damask
@ -13,26 +13,6 @@ import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
#--------------------------------------------------------------------------------------------------
def cell2node(cellData,grid):
nodeData = 0.0
datalen = np.array(cellData.shape[3:]).prod()
for i in range(datalen):
node = scipy.ndimage.convolve(cellData.reshape(tuple(grid[::-1])+(datalen,))[...,i],
np.ones((2,2,2))/8., # 2x2x2 neighborhood of cells
mode = 'wrap',
origin = -1, # offset to have cell origin as center
) # now averaged at cell origins
node = np.append(node,node[np.newaxis,0,:,:,...],axis=0) # wrap along z
node = np.append(node,node[:,0,np.newaxis,:,...],axis=1) # wrap along y
node = np.append(node,node[:,:,0,np.newaxis,...],axis=2) # wrap along x
nodeData = node[...,np.newaxis] if i==0 else np.concatenate((nodeData,node[...,np.newaxis]),axis=-1)
return nodeData
#--------------------------------------------------------------------------------------------------
def deformationAvgFFT(F,grid,size,nodal=False,transformed=False):
"""Calculate average cell center (or nodal) deformation for deformation gradient field specified in each grid cell"""
@ -82,7 +62,7 @@ def displacementFluctFFT(F,grid,size,nodal=False,transformed=False):
displacement = np.fft.irfftn(displacement_fourier,grid[::-1],axes=(0,1,2))
return cell2node(displacement,grid) if nodal else displacement
return damask.grid_filters.cell_2_node(displacement) if nodal else displacement
def volTetrahedron(coords):
@ -241,92 +221,33 @@ parser.set_defaults(pos = 'pos',
)
(options,filenames) = parser.parse_args()
# --- 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.defgrad) != 9:
errors.append('deformation gradient "{}" is not a 3x3 tensor.'.format(options.defgrad))
table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
grid,size,origin = damask.grid_filters.cell_coord0_2_DNA(table.get(options.pos))
coordDim = table.label_dimension(options.pos)
if not 3 >= coordDim >= 1:
errors.append('coordinates "{}" need to have one, two, or three dimensions.'.format(options.pos))
elif coordDim < 3:
remarks.append('appending {} dimension{} to coordinates "{}"...'.format(3-coordDim,
's' if coordDim < 2 else '',
options.pos))
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([options.defgrad,options.pos])
table.data_rewind()
if table.data[:,9:].shape[1] < 3:
table.data = np.hstack((table.data,
np.zeros((table.data.shape[0],
3-table.data[:,9:].shape[1]),dtype='f'))) # fill coords up to 3D with zeros
grid,size = damask.util.coordGridAndSize(table.data[:,9:12])
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
# -----------------------------process data and assemble header -------------------------------------
F_fourier = np.fft.rfftn(table.data[:,:9].reshape(grid[2],grid[1],grid[0],3,3),axes=(0,1,2)) # perform transform only once...
F_fourier = np.fft.rfftn(table.get(options.defgrad).reshape(grid[2],grid[1],grid[0],3,3),axes=(0,1,2)) # perform transform only once...
nodes = displacementFluctFFT(F_fourier,grid,size,True,transformed=True)\
+ deformationAvgFFT (F_fourier,grid,size,True,transformed=True)
if options.shape:
table.labels_append(['shapeMismatch({})'.format(options.defgrad)])
centres = displacementFluctFFT(F_fourier,grid,size,False,transformed=True)\
+ deformationAvgFFT (F_fourier,grid,size,False,transformed=True)
shapeMismatch = shapeMismatch( size,table.get(options.defgrad).reshape(grid[2],grid[1],grid[0],3,3),nodes,centres)
table.add('shapeMismatch(({}))'.format(options.defgrad),
shapeMismatch.reshape((-1,1)),
scriptID+' '+' '.join(sys.argv[1:]))
if options.volume:
table.labels_append(['volMismatch({})'.format(options.defgrad)])
volumeMismatch = volumeMismatch(size,table.get(options.defgrad).reshape(grid[2],grid[1],grid[0],3,3),nodes)
table.add('volMismatch(({}))'.format(options.defgrad),
volumeMismatch.reshape((-1,1)),
scriptID+' '+' '.join(sys.argv[1:]))
table.head_write()
if options.shape:
shapeMismatch = shapeMismatch( size,table.data[:,:9].reshape(grid[2],grid[1],grid[0],3,3),nodes,centres)
if options.volume:
volumeMismatch = volumeMismatch(size,table.data[:,:9].reshape(grid[2],grid[1],grid[0],3,3),nodes)
# ------------------------------------------ output data -------------------------------------------
for i in range(grid[2]):
for j in range(grid[1]):
for k in range(grid[0]):
table.data_read()
if options.shape: table.data_append(shapeMismatch[i,j,k])
if options.volume: table.data_append(volumeMismatch[i,j,k])
table.data_write()
# ------------------------------------------ output finalization -----------------------------------
table.close() # close ASCII tables
table.to_ASCII(sys.stdout if name is None else name)

View File

@ -43,54 +43,25 @@ parser.set_defaults(pole = (0.0,0.0,1.0),
)
(options, filenames) = parser.parse_args()
if filenames == []: filenames = [None]
# damask.Orientation requires Bravais lattice, but we are only interested in symmetry
symmetry2lattice={'cubic':'bcc','hexagonal':'hex','tetragonal':'bct'}
symmetry2lattice={'cubic':'fcc','hexagonal':'hex','tetragonal':'bct'}
lattice = symmetry2lattice[options.symmetry]
pole = np.array(options.pole)
pole /= np.linalg.norm(pole)
# --- 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)
damask.util.report(scriptName,name)
# ------------------------------------------ read header ------------------------------------------
table.head_read()
# ------------------------------------------ sanity checks ----------------------------------------
if not table.label_dimension(options.quaternion) == 4:
damask.util.croak('input {} does not have dimension 4.'.format(options.quaternion))
table.close(dismiss = True) # close ASCIItable and remove empty file
continue
column = table.label_index(options.quaternion)
# ------------------------------------------ assemble header ---------------------------------------
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
table.labels_append(['{}_IPF_{:g}{:g}{:g}_{sym}'.format(i+1,*options.pole,sym = options.symmetry.lower()) for i in range(3)])
table.head_write()
# ------------------------------------------ process data ------------------------------------------
outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table
o = damask.Orientation(np.array(list(map(float,table.data[column:column+4]))),
lattice = lattice).reduced()
table.data_append(o.IPFcolor(pole))
outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization -----------------------------------
table.close() # close ASCII tables
table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
orientation = table.get(options.quaternion)
color = np.empty((orientation.shape[0],3))
for i,o in enumerate(orientation):
color[i] = damask.Orientation(o,lattice = lattice).IPFcolor(pole)
table.add('IPF_{:g}{:g}{:g}_{sym}'.format(*options.pole,sym = options.symmetry.lower()),
color,
scriptID+' '+' '.join(sys.argv[1:]))
table.to_ASCII(sys.stdout if name is None else name)

View File

@ -42,7 +42,7 @@ parser.add_option('-n','--norm',
type = 'choice', choices = normChoices, metavar='string',
help = 'type of element-wise p-norm [frobenius] {%s}'%(','.join(map(str,normChoices))))
parser.add_option('-l','--label',
dest = 'label',
dest = 'labels',
action = 'extend', metavar = '<string LIST>',
help = 'heading of column(s) to calculate norm of')
@ -50,62 +50,25 @@ parser.set_defaults(norm = 'frobenius',
)
(options,filenames) = parser.parse_args()
if options.norm.lower() not in normChoices:
parser.error('invalid norm ({}) specified.'.format(options.norm))
if options.label is None:
parser.error('no data column specified.')
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
if options.norm.lower() not in normChoices:
parser.error('invalid norm ({}) specified.'.format(options.norm))
if options.labels is None:
parser.error('no data column specified.')
for name in filenames:
try:
table = damask.ASCIItable(name = name,
buffered = False)
except: continue
damask.util.report(scriptName,name)
damask.util.report(scriptName,name)
# ------------------------------------------ read header ------------------------------------------
table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
for label in options.labels:
data = table.get(label)
data_norm = np.empty((data.shape[0],1))
for i,d in enumerate(data):
data_norm[i] = norm(options.norm.capitalize(),d)
table.head_read()
table.add('norm{}({})'.format(options.norm.capitalize(),label),
data_norm,
scriptID+' '+' '.join(sys.argv[1:]))
# ------------------------------------------ sanity checks ----------------------------------------
errors = []
remarks = []
columns = []
dims = []
for what in options.label:
dim = table.label_dimension(what)
if dim < 0: remarks.append('column {} not found...'.format(what))
else:
dims.append(dim)
columns.append(table.label_index(what))
table.labels_append('norm{}({})'.format(options.norm.capitalize(),what)) # extend ASCII header with new labels
if remarks != []: damask.util.croak(remarks)
if errors != []:
damask.util.croak(errors)
table.close(dismiss = True)
continue
# ------------------------------------------ assemble header --------------------------------------
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
table.head_write()
# ------------------------------------------ process data ------------------------------------------
outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table
for column,dim in zip(columns,dims):
table.data_append(norm(options.norm.capitalize(),
map(float,table.data[column:column+dim])))
outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization -----------------------------------
table.close() # close input ASCII table (works for stdin)
table.to_ASCII(sys.stdout if name is None else name)

View File

@ -42,52 +42,23 @@ parser.set_defaults(pole = (1.0,0.0,0.0),
)
(options, filenames) = parser.parse_args()
if filenames == []: filenames = [None]
pole = np.array(options.pole)
pole /= np.linalg.norm(pole)
# --- 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)
damask.util.report(scriptName,name)
# ------------------------------------------ read header ------------------------------------------
table.head_read()
# ------------------------------------------ sanity checks ----------------------------------------
if not table.label_dimension(options.quaternion) == 4:
damask.util.croak('input {} does not have dimension 4.'.format(options.quaternion))
table.close(dismiss = True) # close ASCIItable and remove empty file
continue
column = table.label_index(options.quaternion)
# ------------------------------------------ assemble header ---------------------------------------
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
table.labels_append(['{}_pole_{}{}{}'.format(i+1,*options.pole) for i in range(2)])
table.head_write()
# ------------------------------------------ process data ------------------------------------------
outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table
o = damask.Rotation(np.array(list(map(float,table.data[column:column+4]))))
rotatedPole = o*pole # rotate pole according to crystal orientation
(x,y) = rotatedPole[0:2]/(1.+abs(pole[2])) # stereographic projection
table.data_append([np.sqrt(x*x+y*y),np.arctan2(y,x)] if options.polar else [x,y]) # cartesian coordinates
outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization -----------------------------------
table.close() # close ASCII tables
table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
orientation = table.get(options.quaternion)
poles = np.empty((orientation.shape[0],2))
for i,o in enumerate(orientation):
rotatedPole = damask.Rotation(o)*pole # rotate pole according to crystal orientation
(x,y) = rotatedPole[0:2]/(1.+abs(pole[2])) # stereographic projection
poles[i] = [np.sqrt(x*x+y*y),np.arctan2(y,x)] if options.polar else [x,y] # cartesian coordinates
table.add('pole_{}{}{}'.format(*options.pole),
poles,
scriptID+' '+' '.join(sys.argv[1:]))
table.to_ASCII(sys.stdout if name is None else name)