def report()

in pytext/utils/timing.py [0:0]

• 52 lines of code
• 7 McCabe index (conditional complexity)

    def report(self, report_pep=False):
        snapshot_total = timeit.default_timer() - self.start

        def path(key):
            return " -> ".join(label for label, _ in key)

        def print_pep(results, snapshot_total):
            for key, times in sorted(self.times.items()):
                if path(key) == "evaluate -> pytorch eval once":
                    info = {
                        "type": path(key),
                        "metric": "latency",
                        "unit": "ms",
                        "value": f"{times.average * 1000:.1f}",
                    }
                    print("PyTorchObserver " + json_dumps(info))

        if len(self.times) == 0:
            print(
                "Note: Nothing was reported. "
                'Please use timing.time("foo") to measure time.'
            )
            return

        results = [
            {
                "name": path(key),
                "total": format_time(times.sum),
                "avg": format_time(times.average),
                "max": format_time(times.max),
                "p50": format_time(times.p50),
                "p90": format_time(times.p90),
                "p99": format_time(times.p99),
                "count": times.count,
            }
            for key, times in sorted(self.times.items())
        ]
        print(
            ascii_table(
                results,
                human_column_names={
                    "name": "Stage",
                    "total": "Total",
                    "avg": "Average",
                    "max": "Max",
                    "p50": "P50",
                    "p90": "P90",
                    "p99": "P99",
                    "count": "Count",
                },
                footer={"name": "Total time", "total": format_time(snapshot_total)},
                alignments={"name": "<"},
            )
        )
        if report_pep:
            print_pep(results, snapshot_total)