interrogate output from DAMASK_spectral for "error divergence:" evolution.

results in an ASCII datafile containing the increment counter with corresponding divergence value. the evolution within an increment i is stretched between i and i+1 (and likely jumps then for the next increment i+1 at the value i+1)
This commit is contained in:
Philip Eisenlohr 2011-08-14 10:44:15 +00:00
parent f99bf63397
commit e851c934ee
2 changed files with 112 additions and 0 deletions

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@ -0,0 +1,111 @@
#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-
import os,sys,string
from optparse import OptionParser, OptionGroup, Option, SUPPRESS_HELP
# -----------------------------
class extendedOption(Option):
# -----------------------------
# used for definition of new option parser action 'extend', which enables to take multiple option arguments
# taken from online tutorial http://docs.python.org/library/optparse.html
ACTIONS = Option.ACTIONS + ("extend",)
STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
def take_action(self, action, dest, opt, value, values, parser):
if action == "extend":
lvalue = value.split(",")
values.ensure_value(dest, []).extend(lvalue)
else:
Option.take_action(self, action, dest, opt, value, values, parser)
# ----------------------- MAIN -------------------------------
parser = OptionParser(option_class=extendedOption, usage='%prog [options] spectralOut[s]', description = """
Generate datafile of converged iteration per increment.
""" + string.replace('$Id: spectral_iterationCount 919 2011-06-15 18:14:05Z MPIE\p.eisenlohr $','\n','\\n')
)
parser.add_option('-m','--memory', dest='memory', action='store_true', \
help='load complete file into memory [%default]')
parser.add_option('-g','--gap', dest='gap', type='float', \
help='value to indicate gap between increments [%default]')
parser.set_defaults(memory = False)
parser.set_defaults(gap = -1)
(options, filenames) = parser.parse_args()
# ------------------------------------------ setup file handles ---------------------------------------
files = []
if filenames == []:
files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout})
else:
for name in filenames:
if os.path.exists(name):
(head,tail) = os.path.split(name)
files.append({'name':name, 'input':open(name),
'output':open(os.path.join(head,'convergence_'+os.path.splitext(tail)[0]+'.txt'), 'w')})
# ------------------------------------------ loop over input files ---------------------------------------
for file in files:
print file['name']
inc = 1
step = 1
# ------------------------------------------ assemble header ---------------------------------------
output = '1\theader\n' + \
'\t'.join(['inc','err_div']) + '\n'
if options.memory:
data = file['input'].readlines()
else:
data = []
file['output'].write(output)
output = ''
# ------------------------------------------ read file ---------------------------------------
divergences = []
for line in {True : data,
False : file['input']}[options.memory]:
items = line.split()
if len(items) > 7 and items[0] == 'Loadcase': # 'magic' line?
if int(items[5]) != step:
divergences.append(options.gap)
for i,div in enumerate(divergences):
output += '\t'.join(map(str,[inc+float(i)/(len(divergences)-1),div])) + '\n'
step = int(items[5]) # store current step count
inc += 1 # is next inc
divergences = [] # reset divergences list
if not options.memory:
file['output'].write(output)
output = ''
if len(items) > 2 and items[0] == 'error' and items[1] == 'divergence:': # 'magic' line?
divergences.append(float(items[2]))
for i,div in enumerate(divergences): # process last step (for which, of course, no further step can be found)
output += '\t'.join(map(str,[inc+float(i)/len(divergences),div])) + '\n'
file['input'].close()
# ------------------------------------------ output result ---------------------------------------
file['output'].write(output)
if file['name'] != 'STDIN':
file['output'].close

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@ -30,6 +30,7 @@ bin_link = { \
'mentat_colorMap',
'postResults',
'spectral_iterationCount',
'spectral_convergence',
],
}