#!/usr/bin/env python # -*- coding: UTF-8 no BOM -*- import os,re,sys,math,numpy,string import damask from collections import defaultdict from optparse import OptionParser, Option scriptID = '$Id$' scriptName = scriptID.split()[1] # ----------------------------- class extendableOption(Option): # ----------------------------- # used for definition of new option parser action 'extend', which enables to take multiple option arguments # taken from online tutorial http://docs.python.org/library/optparse.html ACTIONS = Option.ACTIONS + ("extend",) STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",) TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",) ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",) def take_action(self, action, dest, opt, value, values, parser): if action == "extend": lvalue = value.split(",") values.ensure_value(dest, []).extend(lvalue) else: Option.take_action(self, action, dest, opt, value, values, parser) # -------------------------------------------------------------------- # MAIN # -------------------------------------------------------------------- parser = OptionParser(option_class=extendableOption, usage='%prog options [file[s]]', description = """ Shift values of scalar, vector, or tensor columns by given offset. """ + string.replace(scriptID,'\n','\\n') ) parser.add_option('-s','--scalar', dest='scalar', action='extend', type='string', help='column heading to shift by scalar', metavar='') parser.add_option('-v','--vector', dest='vector', action='extend', type='string', help='column heading to shift by vector', metavar='') parser.add_option('-t','--tensor', dest='tensor', action='extend', type='string', help='column heading to shift by tensor', metavar='') parser.add_option('-d','--delta', dest='delta', action='extend', type='string', help='list of scalar, vector, and tensor shifts (in this order!)', metavar='') parser.set_defaults(scalar = []) parser.set_defaults(vector = []) parser.set_defaults(tensor = []) parser.set_defaults(delta = []) (options,filenames) = parser.parse_args() options.delta = numpy.array(map(float,options.delta)) datainfo = { # list of requested labels per datatype 'scalar': {'len':1, 'label':[]}, 'vector': {'len':3, 'label':[]}, 'tensor': {'len':9, 'label':[]}, } length = 0 if options.scalar != []: datainfo['scalar']['label'] += options.scalar; length += len(options.scalar)*datainfo['scalar']['len'] if options.vector != []: datainfo['vector']['label'] += options.vector; length += len(options.vector)*datainfo['vector']['len'] if options.tensor != []: datainfo['tensor']['label'] += options.tensor; length += len(options.tensor)*datainfo['tensor']['len'] if len(options.delta) != length: parser.error('Length of offset vector does not match column types.') # ------------------------------------------ setup file handles --------------------------------------- files = [] if filenames == []: files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout, 'croak':sys.stderr}) else: for name in filenames: if os.path.exists(name): files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w'), 'croak':sys.stderr}) #--- loop over input files ------------------------------------------------------------------------ for file in files: if file['name'] != 'STDIN': file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n') else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n') table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table table.head_read() # read ASCII header info table.info_append(string.replace(scriptName,'\n','\\n') + \ '\t' + ' '.join(sys.argv[1:])) # --------------- figure out columns to process --------------------------------------- active = defaultdict(list) column = defaultdict(dict) for datatype,info in datainfo.items(): for label in info['label']: foundIt = False for key in ['1_'+label,label]: if key in table.labels: foundIt = True active[datatype].append(label) column[datatype][label] = table.labels.index(key) # remember columns of requested data if not foundIt: file['croak'].write('column %s not found...\n'%label) # ------------------------------------------ assemble header --------------------------------------- table.head_write() # ------------------------------------------ process data --------------------------------------- outputAlive = True while outputAlive and table.data_read(): # read next data line of ASCII table i = 0 for datatype,labels in sorted(active.items(),key=lambda x:datainfo[x[0]]['len']): # loop over scalar,vector,tensor # file['croak'].write('%s\n'%datatype) for label in labels: # loop over all requested labels # file['croak'].write('%s\n'%label) for j in xrange(datainfo[datatype]['len']): # loop over entity elements # file['croak'].write('%s\n'%table.data[column[datatype][label]+j]) table.data[column[datatype][label]+j] = float(table.data[column[datatype][label]+j]) + options.delta[i] i += 1 outputAlive = table.data_write() # output processed line # ------------------------------------------ output result --------------------------------------- outputAlive and table.output_flush() # just in case of buffered ASCII table if file['name'] != 'STDIN': file['input'].close() # close input ASCII table file['output'].close() # close output ASCII table os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new