produces two-column data of step | iteration at which convergence was reached (or aborted). Source file is the redirected STDOUT of DAMASK_spectral
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#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,string
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from optparse import OptionParser, OptionGroup, Option, SUPPRESS_HELP
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# -----------------------------
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class extendedOption(Option):
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# -----------------------------
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# used for definition of new option parser action 'extend', which enables to take multiple option arguments
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# taken from online tutorial http://docs.python.org/library/optparse.html
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ACTIONS = Option.ACTIONS + ("extend",)
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STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
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TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
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ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
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def take_action(self, action, dest, opt, value, values, parser):
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if action == "extend":
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lvalue = value.split(",")
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values.ensure_value(dest, []).extend(lvalue)
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else:
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Option.take_action(self, action, dest, opt, value, values, parser)
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# ----------------------- MAIN -------------------------------
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parser = OptionParser(option_class=extendedOption, usage='%prog [options] spectralOut[s]', description = """
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Generate datafile of converged iteration per increment for specified loadcase.
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""" + string.replace('$Id$','\n','\\n')
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)
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parser.add_option('-m','--memory', dest='memory', action='store_true', \
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help='load complete file into memory [%default]')
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parser.add_option('-l','--loadcase', dest='loadcase', type='int', \
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help='loadcase number to parse for')
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parser.set_defaults(memory = False)
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parser.set_defaults(loadcase = 1)
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(options, filenames) = parser.parse_args()
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# ------------------------------------------ setup file handles ---------------------------------------
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files = []
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if filenames == []:
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files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout})
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else:
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for name in filenames:
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if os.path.exists(name):
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(head,tail) = os.path.split(name)
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files.append({'name':name, 'input':open(name),
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'output':open(os.path.join(head,'iterationCount_'+os.path.splitext(tail)[0]+'.txt'), 'w')})
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# ------------------------------------------ loop over input files ---------------------------------------
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for file in files:
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print file['name']
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step = 1
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iter = 0
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# ------------------------------------------ assemble header ---------------------------------------
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output = '1\theader\n' + \
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'\t'.join(['step','iteration']) + '\n'
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if options.memory:
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data = file['input'].readlines()
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else:
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data = []
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file['output'].write(output)
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output = ''
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# ------------------------------------------ read file ---------------------------------------
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for line in {True : data,
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False : file['input']}[options.memory]:
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items = line.split()
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if len(items) > 7 and items[0] == 'Loadcase' and int(items[2]) == options.loadcase: # 'magic' line?
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if int(items[5]) == step:
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iter += 1 # next iteration found
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else:
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output += '\t'.join(map(str,[step,iter])) + '\n'
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step = int(items[5]) # store current step count
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iter = 1 # was first iteration of next step
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if not options.memory:
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file['output'].write(output)
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output = ''
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output += '\t'.join(map(str,[step,iter])) + '\n' # process last step (for which, of course, no further step can be found)
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file['input'].close()
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# ------------------------------------------ output result ---------------------------------------
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file['output'].write(output)
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if file['name'] != 'STDIN':
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file['output'].close
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@ -19,9 +19,10 @@ bin_link = { \
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'voronoi_tessellation',
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'voronoi_tessellation',
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],
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],
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'post' : [
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'post' : [
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'postResults',
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'3Dvisualize',
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'3Dvisualize',
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'mentat_colorMap',
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'mentat_colorMap',
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'postResults',
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'spectral_iterationCount',
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],
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],
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}
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}
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