96 lines
4.4 KiB
Python
Executable File
96 lines
4.4 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,string
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import numpy as np
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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 = scriptID.split()[1][:-3]
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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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Permute all values in given column(s).
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""", version = scriptID)
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parser.add_option('-l','--label', dest='label', action='extend', metavar='<strig LIST>',
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help='heading(s) of column to permute')
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parser.add_option('-r', '--rnd', dest='randomSeed', type='int', metavar='int',
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help='seed of random number generator [%default]')
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parser.set_defaults(label = [])
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parser.set_defaults(randomSeed = None)
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(options,filenames) = parser.parse_args()
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if len(options.label)== 0:
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parser.error('no data column specified...')
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datainfo = { # list of requested labels per datatype
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'scalar': {'len':1,
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'label':[]},
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}
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if options.label != None: datainfo['scalar']['label'] += options.label
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np.random.seed(options.randomSeed)
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# ------------------------------------------ setup file handles ------------------------------------
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files = []
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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'), 'croak':sys.stderr})
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#--- loop over input files -------------------------------------------------------------------------
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for file in files:
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file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
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table = damask.ASCIItable(file['input'],file['output'],True) # make unbuffered ASCII_table
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table.head_read() # read ASCII header info
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table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
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# --------------- figure out columns to process ---------------------------------------------------
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active = []
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column = {}
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for label in datainfo['scalar']['label']:
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if label in table.labels:
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active.append(label)
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column[label] = table.labels.index(label) # remember columns of requested data
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else:
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file['croak'].write('column %s not found...\n'%label)
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# ------------------------------------------ assemble header ---------------------------------------
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table.head_write()
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# ------------------------------------------ process data ------------------------------------------
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permutation = {}
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table.data_readArray([column[label] for label in active])
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for i,label in enumerate(active):
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mySeed = np.random.randint(9999999)
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np.random.seed(mySeed)
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unique = list(set(table.data[:,i]))
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permutated = np.random.permutation(unique)
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permutation[label] = dict(zip(unique,permutated))
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table.data_rewind()
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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 label in active: # loop over all requested stiffnesses
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for c in xrange(column[label],
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column[label]+datainfo['scalar']['len']):
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table.data[c] = permutation[label][float(table.data[c])] # apply permutation
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outputAlive = table.data_write() # output processed line
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# ------------------------------------------ output result -----------------------------------------
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outputAlive and table.output_flush() # just in case of buffered ASCII table
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table.input_close() # close input ASCII table
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table.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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