105 lines
3.7 KiB
Python
Executable File
105 lines
3.7 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import sys
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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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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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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 [ASCIItable(s)]', description = """
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Rotate vector and/or tensor column data by given angle around given axis.
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""", version = scriptID)
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parser.add_option('-d', '--data',
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dest = 'data',
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action = 'extend', metavar = '<string LIST>',
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help = 'vector/tensor value(s) label(s)')
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parser.add_option('-r', '--rotation',
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dest = 'rotation',
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type = 'float', nargs = 4, metavar = ' '.join(['float']*4),
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help = 'axis and angle to rotate data [%default]')
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parser.add_option('--degrees',
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dest = 'degrees',
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action = 'store_true',
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help = 'angles are given in degrees')
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parser.set_defaults(rotation = (1.,1.,1.,0), # no rotation about (1,1,1)
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degrees = False,
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)
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(options,filenames) = parser.parse_args()
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if options.data is None:
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parser.error('no data column specified.')
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r = damask.Rotation.fromAxisAngle(np.array(options.rotation),options.degrees,normalise=True)
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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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damask.util.report(scriptName,name)
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# --- interpret header ----------------------------------------------------------------------------
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table.head_read()
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errors = []
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remarks = []
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active = {'vector':[],'tensor':[]}
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for i,dim in enumerate(table.label_dimension(options.data)):
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label = options.data[i]
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if dim == -1:
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remarks.append('"{}" not found...'.format(label))
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elif dim == 3:
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remarks.append('adding vector "{}"...'.format(label))
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active['vector'].append(label)
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elif dim == 9:
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remarks.append('adding tensor "{}"...'.format(label))
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active['tensor'].append(label)
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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 v in active['vector']:
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column = table.label_index(v)
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table.data[column:column+3] = r * np.array(list(map(float,table.data[column:column+3])))
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for t in active['tensor']:
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column = table.label_index(t)
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table.data[column:column+9] = (r * np.array(list(map(float,table.data[column:column+9]))).reshape((3,3))).reshape(9)
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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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