103 lines
3.8 KiB
Python
Executable File
103 lines
3.8 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,math,string
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from collections import defaultdict
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from optparse import OptionParser
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import damask
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scriptID = string.replace('$Id$','\n','\\n')
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scriptName = os.path.splitext(scriptID.split()[1])[0]
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# definition of element-wise p-norms for matrices
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def norm(which,object):
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if which == 'Abs': # p = 1
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return sum(map(abs, object))
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elif which == 'Frobenius': # p = 2
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return math.sqrt(sum([x*x for x in object]))
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elif which == 'Max': # p = inf
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return max(map(abs, object))
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.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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""", version = scriptID)
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normChoices = ['abs','frobenius','max']
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parser.add_option('-n','--norm',
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dest = 'norm',
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type = 'choice', choices = normChoices, metavar='string',
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help = 'type of element-wise p-norm [frobenius] {%s}'%(','.join(map(str,normChoices))))
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parser.add_option('-l','--label',
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dest = 'label',
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action = 'extend', metavar = '<string LIST>',
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help = 'heading of column(s) to calculate norm of')
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parser.set_defaults(norm = 'frobenius',
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)
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(options,filenames) = parser.parse_args()
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if options.label == None:
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parser.error('no data column specified.')
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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for name in filenames:
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try:
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table = damask.ASCIItable(name = name,
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buffered = False)
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except: continue
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table.report_name(scriptName,name)
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# ------------------------------------------ read header ------------------------------------------
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table.head_read()
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# ------------------------------------------ sanity checks ----------------------------------------
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errors = []
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remarks = []
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columns = []
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dims = []
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for what in options.label:
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dim = table.label_dimension(what)
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if dim < 0: remarks.append('column {} not found...'.format(what))
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else:
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dims.append(dim)
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columns.append(table.label_index(what))
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table.labels_append('norm{}({})'.format(options.norm.capitalize(),what)) # extend ASCII header with new labels
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if remarks != []: table.croak(remarks)
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if errors != []:
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table.croak(errors)
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table.close(dismiss = True)
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continue
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# ------------------------------------------ assemble header --------------------------------------
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table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
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table.head_write()
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# ------------------------------------------ process data ------------------------------------------
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outputAlive = True
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while outputAlive and table.data_read(): # read next data line of ASCII table
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for column,dim in zip(columns,dims):
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table.data_append(norm(options.norm.capitalize(),
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map(float,table.data[column:column+dim])))
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outputAlive = table.data_write() # output processed line
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# ------------------------------------------ output finalization -----------------------------------
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table.close() # close input ASCII table (works for stdin)
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