simplified
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9ea6d3afd7
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a64388355a
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@ -74,7 +74,7 @@ for name in filenames:
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}
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}
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# ------------------------------------------ Evaluate condition ---------------------------------------
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# ------------------------------------------ Evaluate condition ---------------------------------------
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if options.condition:
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if options.condition is not None:
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interpolator = []
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interpolator = []
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condition = options.condition # copy per file, since might be altered inline
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condition = options.condition # copy per file, since might be altered inline
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breaker = False
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breaker = False
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@ -89,7 +89,7 @@ for name in filenames:
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try:
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try:
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interpolator += ['%s(table.data[%i])'%({ '':'float',
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interpolator += ['%s(table.data[%i])'%({ '':'float',
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's#':'str'}[operand[1]],
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's#':'str'}[operand[1]],
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table.label_index(operand[2]))] # ccould be generalized to indexrange as array lookup
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table.label_index(operand[2]))] # could be generalized to indexrange as array lookup
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except:
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except:
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damask.util.croak('column "{}" not found.'.format(operand[2]))
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damask.util.croak('column "{}" not found.'.format(operand[2]))
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breaker = True
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breaker = True
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@ -98,8 +98,6 @@ for name in filenames:
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evaluator_condition = "'" + condition + "'.format(" + ','.join(interpolator) + ")"
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evaluator_condition = "'" + condition + "'.format(" + ','.join(interpolator) + ")"
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else: condition = ''
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# ------------------------------------------ build formulae ----------------------------------------
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# ------------------------------------------ build formulae ----------------------------------------
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evaluator = {}
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evaluator = {}
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@ -168,7 +166,7 @@ for name in filenames:
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Nold = max(1,len(oldIndices)) # Nold could be zero for new columns
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Nold = max(1,len(oldIndices)) # Nold could be zero for new columns
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Nnew = len(output.label_indexrange(label))
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Nnew = len(output.label_indexrange(label))
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output.data_append(eval(evaluator[label]) if label in options.labels and
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output.data_append(eval(evaluator[label]) if label in options.labels and
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(condition == '' or eval(eval(evaluator_condition)))
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(options.condition is None or eval(eval(evaluator_condition)))
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else np.tile([table.data[i] for i in oldIndices]
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else np.tile([table.data[i] for i in oldIndices]
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if label in tabLabels
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if label in tabLabels
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else np.nan,
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else np.nan,
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