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DAMASK_EICMD
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fixed bug in user mapping function. 

corrected examples and added incremental mapping explanation to usage hint.
This commit is contained in:
Philip Eisenlohr 2011-05-26 09:41:53 +00:00
parent f24da6dffe
commit 96a4d83b9b
1 changed files with 10 additions and 5 deletions
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15
processing/post/postResults
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@ -368,7 +368,7 @@ def mapIncremental(label, mapping, N, base, new):
mapped = map(lambda x: x/orientationNorm, mapped) # ...renormalize quaternion mapped = map(lambda x: x/orientationNorm, mapped) # ...renormalize quaternion
else: else:
try: try:
mapped = eval('map(%s,N*len(base),base,new)'%map) # map user defined function to colums in chunks mapped = eval('map(%s,[N]*len(base),base,new)'%map) # map user defined function to colums in chunks
except: except:
mapped = ['n/a']*len(base) mapped = ['n/a']*len(base)
@ -555,12 +555,17 @@ Extract data from a .t16 (MSC.Marc) or .spectralOut results file.
List of output variables is given by options '--ns','--es','--et','--ho','--cr','--co'. List of output variables is given by options '--ns','--es','--et','--ho','--cr','--co'.
Filter and separations use 'elem','node','ip','grain', and 'x','y','z' as key words. Filters and separations use 'elem','node','ip','grain', and 'x','y','z' as key words.
Example: Example:
1) get averaged results in slices perpendicular to x for all positive y coordinates 1) get averaged results in slices perpendicular to x for all negative y coordinates
--filter 'y >= 0.0' --separation x --map 'avg' --filter 'y < 0.0' --separation x --map 'avg'
2) global sum of squared data falling into first quadrant arc between R1 and R2 2) global sum of squared data falling into first quadrant arc between R1 and R2
--filter 'x*x + y*y >= R1*R1 and x*x + y*y <= R2*R2' --map 'lambda list: sum([item*item for item in list])' --filter 'x >= 0.0 and y >= 0.0 and x*x + y*y >= R1*R1 and x*x + y*y <= R2*R2'
--map 'lambda n,b,a: n*b+a*a'
User mappings need to be formulated in an incremental fashion for each new data point, a(dd),
and may use the current (incremental) result, b(ase), as well as the number, n(umber),
of already processed data points for evaluation.
$Id$ $Id$
""") """)