fns := fileNodes[filename]
			flatSum, cumSum := fns.Sum()

			fnodes, _, err := getSourceFromFile(filename, reader, fns, 0, 0)
			fmt.Fprintf(w, "ROUTINE ======================== %s in %s\n", name, filename)
			fmt.Fprintf(w, "%10s %10s (flat, cum) %s of Total\n",
				rpt.formatValue(flatSum), rpt.formatValue(cumSum),
				measurement.Percentage(cumSum, rpt.total))

			if err != nil {

    """
    total_freq = sum(self._hist_freq)
    # hist_freq_cumsum is dividing cumulative sum of hist_freq by total_freq
    # hist_freq_cumsum's value is in range [0, 1] by its definition
    hist_freq_cumsum = np.cumsum(self._hist_freq) / total_freq

    # min_percentile and max_percentile are converted from [0, 100] to [0, 1].
    min_quantile, max_quantile = (
        self._calib_opts.calibration_parameters.min_percentile / 100.0,

			fmt.Fprintf(w, "    AKA ======================== %s\n", name)
		}
		fmt.Fprintf(w, "%10s %10s (flat, cum) %s of Total\n",
			rpt.formatValue(flatSum), rpt.formatValue(cumSum),
			measurement.Percentage(cumSum, rpt.total))

		function, file, line := "", "", 0
		for _, n := range ns {
			locStr := ""
			// Skip loc information if it hasn't changed from previous instruction.

  NON_MAX_SUPPRESSION_V4 = 120,
  NON_MAX_SUPPRESSION_V5 = 121,
  SCATTER_ND = 122,
  SELECT_V2 = 123,
  DENSIFY = 124,
  SEGMENT_SUM = 125,
  BATCH_MATMUL = 126,
  PLACEHOLDER_FOR_GREATER_OP_CODES = 127,
  CUMSUM = 128,
  CALL_ONCE = 129,
  BROADCAST_TO = 130,
  RFFT2D = 131,
  CONV_3D = 132,
  IMAG=133,
  REAL=134,
  COMPLEX_ABS=135,
  HASHTABLE = 136,
  HASHTABLE_FIND = 137,
  HASHTABLE_IMPORT = 138,

  NON_MAX_SUPPRESSION_V4 = 120,
  NON_MAX_SUPPRESSION_V5 = 121,
  SCATTER_ND = 122,
  SELECT_V2 = 123,
  DENSIFY = 124,
  SEGMENT_SUM = 125,
  BATCH_MATMUL = 126,
  PLACEHOLDER_FOR_GREATER_OP_CODES = 127,
  CUMSUM = 128,
  CALL_ONCE = 129,
  BROADCAST_TO = 130,
  RFFT2D = 131,
  CONV_3D = 132,
  IMAG=133,
  REAL=134,
  COMPLEX_ABS=135,
  HASHTABLE = 136,
  HASHTABLE_FIND = 137,
  HASHTABLE_IMPORT = 138,

// license that can be found in the LICENSE file.

// The vectorized implementation found below is a derived work
// from code written by Anton Blanchard <******@****.***> found
// at https://github.com/antonblanchard/crc32-vpmsum.  The original
// is dual licensed under GPL and Apache 2.  As the copyright holder
// for the work, IBM has contributed this new work under
// the golang license.