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DAMASK_EICMD
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streamlined column processing based on recently introduced asciitable functionality.

This commit is contained in:
Philip Eisenlohr 2015-07-01 15:48:34 +00:00
parent ef243d3e19
commit 812d17f91c
1 changed files with 22 additions and 25 deletions
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47
processing/post/addStrainTensors.py
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@ -58,15 +58,8 @@ strains = []
if options.right: stretches.append('U')
if options.left: stretches.append('V')
if options.logarithmic: strains.append('ln')
if options.biot: strains.append('Biot')
if options.green: strains.append('Green')
datainfo = { # list of requested labels per datatype
'defgrad': {'len':9,
'label':[]},
}
datainfo['defgrad']['label'] = options.defgrad
if options.biot: strains.append('Biot')
if options.green: strains.append('Green')
# ------------------------------------------ setup file handles ------------------------------------
files = []
@ -86,38 +79,43 @@ for file in files:
table.head_read() # read ASCII header info
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
active = []
column = defaultdict(dict)
# --------------- figure out columns to process ---------------------------------------------------
for label in datainfo['defgrad']['label']:
key = '1_%s'%label
if key not in table.labels:
sys.stderr.write('column %s not found...\n'%key)
errors = []
active = []
for i,length in enumerate(table.label_dimension(options.defgrad)):
if length == 9:
active.append(options.defgrad[i])
else:
active.append(label)
column[label] = table.labels.index(key)
errors.append('no deformation gradient tensor (1..9_%s) found...'%options.defgrad[i])
if errors != []:
file['croak'].write('\n'.join(errors)+'\n')
table.close(dismiss = True)
continue
# ------------------------------------------ assemble header ---------------------------------------
for label in active:
for theStretch in stretches:
for theStrain in strains:
table.labels_append(['%i_%s(%s)%s'%(i+1,theStrain,theStretch,
{True: label,False: ''}[label!='f'])for i in xrange(9)]) # extend ASCII header with new labels
table.labels_append(['%i_%s(%s)%s'%(i+1,
theStrain,
theStretch,
label if label != 'f' else '') for i in xrange(9)]) # extend ASCII header with new labels
table.head_write()
# ------------------------------------------ process data ------------------------------------------
outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table
for label in active: # loop over all requested norms
F = np.array(map(float,table.data[column[label]:
column[label]+datainfo['defgrad']['len']]),'d').reshape(3,3)
for column in table.label_index(active): # loop over all requested norms
F = np.array(map(float,table.data[column:column+9]),'d').reshape(3,3)
(U,S,Vh) = np.linalg.svd(F)
R = np.dot(U,Vh)
stretch['U'] = np.dot(np.linalg.inv(R),F)
stretch['V'] = np.dot(F,np.linalg.inv(R))
for theStretch in stretches:
for i in range(9):
for i in xrange(9):
if abs(stretch[theStretch][i%3,i//3]) < 1e-12: # kill nasty noisy data
stretch[theStretch][i%3,i//3] = 0.0
(D,V) = np.linalg.eig(stretch[theStretch]) # eigen decomposition (of symmetric matrix)
@ -138,7 +136,6 @@ for file in files:
# ------------------------------------------ output result -----------------------------------------
outputAlive and table.output_flush() # just in case of buffered ASCII table
table.input_close() # close input ASCII table (works for stdin)
table.output_close() # close output ASCII table (works for stdout)
table.close() # close ASCII table
if file['name'] != 'STDIN':
os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new