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DAMASK_EICMD
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now all heading labels squeeze out whitespace from their name.

This commit is contained in:
Philip Eisenlohr 2012-05-05 18:43:48 +00:00
parent 4b18278781
commit c2954a2b33
1 changed files with 4 additions and 4 deletions
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8
processing/post/postResults.py
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@ -1097,7 +1097,7 @@ for incCount,position in enumerate(locations): # walk through locations
else: else:
length = 1 length = 1
content = [ p.node_scalar(p.node_sequence(n),stat['IndexOfLabel'][label]) ] content = [ p.node_scalar(p.node_sequence(n),stat['IndexOfLabel'][label]) ]
if assembleHeader: header += heading('_',[[component,label] for component in range(int(length>1),length+int(length>1))]) if assembleHeader: header += heading('_',[[component,''.join( label.split() )] for component in range(int(length>1),length+int(length>1))])
newby.append({'label':label, newby.append({'label':label,
'len':length, 'len':length,
'content':content }) 'content':content })
@ -1105,7 +1105,7 @@ for incCount,position in enumerate(locations): # walk through locations
if options.elemScalar: if options.elemScalar:
for label in options.elemScalar: for label in options.elemScalar:
if assembleHeader: if assembleHeader:
header += [label.replace(' ','')] header += [''.join( label.split() )]
newby.append({'label':label, newby.append({'label':label,
'len':1, 'len':1,
'content':[ p.element_scalar(p.element_sequence(e),stat['IndexOfLabel'][label])[n_local].value ]}) 'content':[ p.element_scalar(p.element_sequence(e),stat['IndexOfLabel'][label])[n_local].value ]})
@ -1113,7 +1113,7 @@ for incCount,position in enumerate(locations): # walk through locations
if options.elemTensor: if options.elemTensor:
for label in options.elemTensor: for label in options.elemTensor:
if assembleHeader: if assembleHeader:
header += heading('.',[[label.replace(' ',''),component] for component in ['intensity','t11','t22','t33','t12','t23','t13']]) header += heading('.',[[''.join( label.split() ),component] for component in ['intensity','t11','t22','t33','t12','t23','t13']])
myTensor = p.element_tensor(p.element_sequence(e),stat['IndexOfLabel'][label])[n_local] myTensor = p.element_tensor(p.element_sequence(e),stat['IndexOfLabel'][label])[n_local]
newby.append({'label':label, newby.append({'label':label,
'len':7, 'len':7,
@ -1134,7 +1134,7 @@ for incCount,position in enumerate(locations): # walk through locations
): ):
outputIndex = list(zip(*outputFormat[resultType]['outputs'])[0]).index(label) # find the position of this output in the outputFormat outputIndex = list(zip(*outputFormat[resultType]['outputs'])[0]).index(label) # find the position of this output in the outputFormat
length = int(outputFormat[resultType]['outputs'][outputIndex][1]) length = int(outputFormat[resultType]['outputs'][outputIndex][1])
thisHead = heading('_',[[component,label] for component in range(int(length>1),length+int(length>1))]) thisHead = heading('_',[[component,''.join( label.split() )] for component in range(int(length>1),length+int(length>1))])
if assembleHeader: header += thisHead if assembleHeader: header += thisHead
if resultType != 'Homogenization': if resultType != 'Homogenization':
thisHead = heading('_',[[g,component,label] for component in range(int(length>1),length+int(length>1))]) thisHead = heading('_',[[g,component,label] for component in range(int(length>1),length+int(length>1))])