#!/usr/bin/env python2.7 # -*- coding: UTF-8 no BOM -*- import os,sys import numpy as np from optparse import OptionParser import damask scriptName = os.path.splitext(os.path.basename(__file__))[0] scriptID = ' '.join([scriptName,damask.version]) # -------------------------------------------------------------------- # MAIN # -------------------------------------------------------------------- parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """ Uniformly shift column values by given offset. """, version = scriptID) parser.add_option('-l','--label', dest = 'label', action = 'extend', metavar = '', help ='column(s) to shift') parser.add_option('-o','--offset', dest = 'offset', action = 'extend', metavar='', help = 'offset(s) per column') parser.set_defaults(label = [], ) (options,filenames) = parser.parse_args() if len(options.label) != len(options.offset): parser.error('number of column labels and offsets do not match.') # --- loop over input files ------------------------------------------------------------------------- if filenames == []: filenames = [None] for name in filenames: try: table = damask.ASCIItable(name = name, buffered = False) except: continue damask.util.report(scriptName,name) # ------------------------------------------ read header ------------------------------------------ table.head_read() errors = [] remarks = [] columns = [] dims = [] offsets = [] for what,offset in zip(options.label,options.offset): col = table.label_index(what) if col < 0: remarks.append('column {} not found...'.format(what,type)) else: columns.append(col) offsets.append(float(offset)) dims.append(table.label_dimension(what)) if remarks != []: damask.util.croak(remarks) if errors != []: damask.util.croak(errors) table.close(dismiss = True) continue # ------------------------------------------ assemble header --------------------------------------- table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:])) table.head_write() # ------------------------------------------ process data ------------------------------------------ outputAlive = True while outputAlive and table.data_read(): # read next data line of ASCII table for col,dim,offset in zip(columns,dims,offsets): # loop over items table.data[col:col+dim] = offset + np.array(table.data[col:col+dim],'d') outputAlive = table.data_write() # output processed line # ------------------------------------------ output finalization ----------------------------------- table.close() # close ASCII tables