113 lines
4.5 KiB
Python
Executable File
113 lines
4.5 KiB
Python
Executable File
#!/usr/bin/python
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import os,re,sys,math,string,damask
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from optparse import OptionParser, Option
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# -----------------------------
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class extendableOption(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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def L2(object):
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return math.sqrt(sum([x*x for x in object]))
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=extendableOption, usage='%prog options [file[s]]', description = """
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Add column(s) containing norm of requested column(s) being either vectors or tensors.
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""" + string.replace('$Id: addNorm.py 1118 2011-11-23 14:54:53Z MPIE\p.eisenlohr $','\n','\\n')
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)
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parser.add_option('-l','--label', dest='labels', action='extend', type='string', \
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help='(list of) new column labels')
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parser.add_option('-f','--formula', dest='formulas', action='extend', type='string', \
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help='(list of) formulas corresponding to labels')
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parser.set_defaults(labels= [])
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parser.set_defaults(formulas= [])
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(options,filenames) = parser.parse_args()
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if len(options.labels) != len(options.formulas):
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parser.error('number of labels (%i) and formulas (%i) do not match'%(len(options.labels),len(options.formulas)))
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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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files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w')})
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# ------------------------------------------ loop over input files ---------------------------------------
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for file in files:
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if file['name'] != 'STDIN': print file['name']
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table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table
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table.head_read() # read ASCII header info
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table.info_append(string.replace('$Id: addNorm.py 1118 2011-11-23 14:54:53Z MPIE\p.eisenlohr $','\n','\\n') + \
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'\t' + ' '.join(sys.argv[1:]))
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column = {}
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evaluator = {}
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for label,formula in zip(options.labels,options.formulas):
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table.labels_append(label)
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interpolator = []
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operands = re.findall(r'\$(.+?)\$',formula)
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for operand in operands:
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if not operand in column:
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try:
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column[operand] = table.labels.index(operand)
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except:
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parser.error('column %s not found...\n'%operand)
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interpolator += ['float(table.data[%i])'%column[operand]]
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for operand in operands:
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formula = formula.replace('$'+operand+'$','%e')
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evaluator[label] = "'" + formula + "'%(" + ','.join(interpolator) + ")"
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# ------------------------------------------ assemble header ---------------------------------------
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table.head_write()
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# ------------------------------------------ process data ---------------------------------------
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while table.data_read(): # read next data line of ASCII table
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for label in options.labels:
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table.data_append(eval(eval(evaluator[label])))
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table.data_write() # output processed line
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# ------------------------------------------ output result ---------------------------------------
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table.output_flush() # just in case of buffered ASCII table
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file['input'].close() # close input ASCII table
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if file['name'] != 'STDIN':
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file['output'].close # close output ASCII table
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os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new
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