extended "scalar" capabilities to "special" having arbitrary dimension (defaults to 1, i.e. former scalar case). Breaks backward compatibility since "--scalar" is now "--special". However, "-s" still works as before...
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@ -19,25 +19,28 @@ Shift values of scalar, vector, or tensor columns by given offset.
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""", version = scriptID)
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parser.add_option('-s','--scalar', dest='scalar', action='extend', metavar='<string LIST>',
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help='column heading to shift by scalar')
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parser.add_option('-s','--special', dest='special', action='extend', type='string', metavar='<string LIST>',
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help='heading of columns containing field values of special dimension')
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parser.add_option('-d','--dimension', dest='N', action='store', type='int', metavar='int',
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help='dimension of special field values [%default]')
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parser.add_option('-v','--vector', dest='vector', action='extend', metavar='<string LIST>',
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help='column heading to shift by vector')
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parser.add_option('-t','--tensor', dest='tensor', action='extend', metavar='<string LIST>',
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help='column heading to shift by tensor')
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parser.add_option('-d','--delta', dest='delta', action='extend', metavar='<float LIST>',
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help='list of scalar, vector, and tensor shifts (in this order!)')
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parser.add_option('-o','--offset', dest='delta', action='extend', metavar='<float LIST>',
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help='list of scalar/special, vector, and tensor shifts (in this order!)')
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parser.set_defaults(scalar = [])
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parser.set_defaults(special = [])
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parser.set_defaults(vector = [])
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parser.set_defaults(tensor = [])
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parser.set_defaults(delta = [])
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parser.set_defaults(N = 1)
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(options,filenames) = parser.parse_args()
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options.delta = np.array(options.delta,'d')
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datainfo = { # list of requested labels per datatype
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'scalar': {'len':1,
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'special': {'len':options.N,
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'label':[]},
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'vector': {'len':3,
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'label':[]},
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@ -46,9 +49,9 @@ datainfo = {
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}
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length = 0
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if options.scalar != []: datainfo['scalar']['label'] += options.scalar; length += len(options.scalar)*datainfo['scalar']['len']
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if options.vector != []: datainfo['vector']['label'] += options.vector; length += len(options.vector)*datainfo['vector']['len']
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if options.tensor != []: datainfo['tensor']['label'] += options.tensor; length += len(options.tensor)*datainfo['tensor']['len']
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if options.special != []: datainfo['special']['label'] += options.special; length += len(options.scalar)*datainfo['special']['len']
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if options.vector != []: datainfo['vector']['label'] += options.vector; length += len(options.vector)*datainfo['vector']['len']
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if options.tensor != []: datainfo['tensor']['label'] += options.tensor; length += len(options.tensor)*datainfo['tensor']['len']
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if len(options.delta) != length:
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parser.error('length of offset vector does not match column types...')
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@ -76,8 +79,7 @@ for file in files:
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for datatype,info in datainfo.items():
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for label in info['label']:
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key = {True :'1_%s',
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False:'%s' }[info['len']>1]%label
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key = '1_'+label if info['len'] > 1 else label # non-scalar labels have to start with '1_'
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if key in table.labels:
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active[datatype].append(label)
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column[datatype][label] = table.labels.index(key) # remember columns of requested data
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