simplified
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cee095b58e
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@ -2,10 +2,9 @@
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import os
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import sys
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from io import StringIO
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from optparse import OptionParser
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import numpy as np
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import damask
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@ -35,58 +34,17 @@ parser.set_defaults(label = [],
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)
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(options,filenames) = parser.parse_args()
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if len(options.label) != len(options.offset):
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parser.error('number of column labels and offsets do not match.')
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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if len(options.label) != len(options.offset):
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parser.error('number of column labels and offsets do not match.')
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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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damask.util.report(scriptName,name)
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damask.util.report(scriptName,name)
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# ------------------------------------------ read header ------------------------------------------
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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for i,label in enumerate(options.label):
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table.set_array(label,table.get_array(label)+float(options.offset[i]),
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scriptID+' '+' '.join(sys.argv[1:]))
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table.head_read()
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errors = []
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remarks = []
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columns = []
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dims = []
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offsets = []
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for what,offset in zip(options.label,options.offset):
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col = table.label_index(what)
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if col < 0: remarks.append('column {} not found...'.format(what,type))
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else:
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columns.append(col)
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offsets.append(float(offset))
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dims.append(table.label_dimension(what))
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if remarks != []: damask.util.croak(remarks)
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if errors != []:
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damask.util.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 col,dim,offset in zip(columns,dims,offsets): # loop over items
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table.data[col:col+dim] = offset + np.array(table.data[col:col+dim],'d')
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outputAlive = table.data_write() # output processed line
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# ------------------------------------------ output finalization -----------------------------------
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table.close() # close ASCII tables
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table.to_ASCII(sys.stdout if name is None else name)
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