direct initialization (float64 is anyway standard)
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@ -80,7 +80,7 @@ for name in filenames:
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# ------------------------------------------ process data ------------------------------------------
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mask = []
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for col,dim in zip(columns,dims): mask += range(col,col+dim) # isolate data columns to cumulate
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cumulated = np.ones(len(mask),dtype=float) * (1 if options.product else 0) # prepare output field
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cumulated = np.ones(len(mask)) if options.product else np.zeros(len(mask)) # prepare output field
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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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