Method _print_heat_map

LatencyMap.py:390–486

(self, chart_type: str)

            print(f"Label: {last.label}")

    def _print_heat_map(self, chart_type: str) -> None:
        assert chart_type in ('Frequency', 'Intensity')
        if chart_type == 'Frequency':
            params_maxval = g_params.frequency_maxval
            palette = 'blue'
            chart_maxval = max(r.max_frequency for r in self.data)
            title = 'Frequency Heatmap: events per sec'
            unit = '(N#/sec)'
        else:
            params_maxval = g_params.intensity_maxval
            palette = 'red'
            chart_maxval = max(r.max_intensity for r in self.data)
            title = 'Intensity Heatmap: time waited per sec'
            unit = f"({g_params.latency_unit}/sec)"

        # Header line
        left_axis_title = "Latency bucket"
        line = left_axis_title.ljust(max(16, g_params.num_latency_records // 2 - 10))
        line += title
        line = line.ljust(g_params.num_latency_records + 2)
        line += "Latest values"
        if g_params.print_legend:
            line += "    Legend"
        print(line)

        line = "(millisec)".ljust(max(16, g_params.num_latency_records - len(unit) + 14))
        line += unit
        print(line)

        # Determine color scale
        max_val = chart_maxval if params_maxval == -1 else params_maxval

        # Main map
        row_idx = -1
        for bucket in range(g_params.max_latency_bkt, g_params.min_latency_bkt - 1, -1):
            row_idx += 1

            # Left axis label
            if bucket == g_params.max_latency_bkt:
                label = ">" + self._bucket_ms_label(bucket - 1)
            elif bucket == g_params.min_latency_bkt:
                label = "<" + self._bucket_ms_label(bucket)
            else:
                label = self._bucket_ms_label(bucket)
            line = label.rjust(6, ' ') + ' '

            # Heat row: oldest→newest (left→right). Newest column is the RIGHT-most.
            data_point = 0.0
            for record in self.data:
                if chart_type == 'Frequency':
                    data_point = record.frequency_histogram[bucket]
                else:
                    data_point = record.intensity_histogram[bucket]

                if data_point == 0:
                    token = 0
                elif data_point >= max_val:
                    token = 6