Revert "[browser-stories] gate features behind {experimental} flag"
This reverts commit 1db33e5fff
.
Reason for revert: {AttributeError} 'Namespace' object has no attribute 'experimental'
Original change's description:
> [browser-stories] gate features behind {experimental} flag
>
> Performance infra recipes use callstats.py to run web page replays. Split (v8,
> infa, perf-infra) repositories make experimenting with callstats.py hard.
>
> This CL creates feature gating for simplifying performance infra experiments.
>
> R=ulan@chromium.org
>
> No-Try: true
> Bug: v8:9448
> Change-Id: I2c3e139f4b9d6bce1ea4fdda1a44960d74d7d414
> Reviewed-on: https://chromium-review.googlesource.com/c/v8/v8/+/1690950
> Auto-Submit: Tamer Tas <tmrts@chromium.org>
> Reviewed-by: Ulan Degenbaev <ulan@chromium.org>
> Commit-Queue: Tamer Tas <tmrts@chromium.org>
> Cr-Commit-Position: refs/heads/master@{#62565}
TBR=ulan@chromium.org,tmrts@chromium.org
Change-Id: If40be01a2edebf0538ad306fa5ded0dfa2aaf147
No-Presubmit: true
No-Tree-Checks: true
No-Try: true
Bug: v8:9448
Reviewed-on: https://chromium-review.googlesource.com/c/v8/v8/+/1692922
Reviewed-by: Tamer Tas <tmrts@chromium.org>
Commit-Queue: Tamer Tas <tmrts@chromium.org>
Cr-Commit-Position: refs/heads/master@{#62595}
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c1c6e3edf7
@ -355,37 +355,6 @@ def statistics(data):
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return { 'samples': N, 'average': average, 'median': median,
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'stddev': stddev, 'min': low, 'max': high, 'ci': ci }
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def experimental_statistics(data):
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# TODO(tmrts): copied from statistics for experimenting, will be removed
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# afterwards
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N = len(data)
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average = numpy.average(data)
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median = numpy.median(data)
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low = numpy.min(data)
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high= numpy.max(data)
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if N > 1:
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# evaluate sample variance by setting delta degrees of freedom (ddof) to
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# 1. The degree used in calculations is N - ddof
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stddev = numpy.std(data, ddof=1)
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# Get the endpoints of the range that contains 95% of the distribution
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t_bounds = scipy.stats.t.interval(0.95, N-1)
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#assert abs(t_bounds[0] + t_bounds[1]) < 1e-6
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# sum mean to the confidence interval
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ci = {
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'abs': t_bounds[1] * stddev / sqrt(N),
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'low': average + t_bounds[0] * stddev / sqrt(N),
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'high': average + t_bounds[1] * stddev / sqrt(N)
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}
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else:
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stddev = 0
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ci = { 'abs': 0, 'low': average, 'high': average }
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if abs(stddev) > 0.0001 and abs(average) > 0.0001:
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ci['perc'] = t_bounds[1] * stddev / sqrt(N) / average * 100
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else:
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ci['perc'] = 0
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return { 'samples': N, 'average': average, 'median': median,
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'stddev': stddev, 'min': low, 'max': high, 'ci': ci }
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def add_category_total(entries, groups, category_prefix):
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group_data = { 'time': 0, 'count': 0 }
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@ -692,9 +661,6 @@ def main():
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subparser.add_argument(
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"--sites", type=str, metavar="<URL>", nargs="*",
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help="specify benchmark website")
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subparser.add_argument(
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"--experimental", action="store_true", default=False,
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help="enable the experimental mode")
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add_replay_args(subparsers["run"])
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# Command: replay-server
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@ -753,8 +719,6 @@ def main():
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# Execute the command.
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args = parser.parse_args()
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setattr(args, 'script_path', os.path.dirname(sys.argv[0]))
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if args.experimental:
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statistics = experimental_statistics
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if args.command == "run" and coexist(args.sites_file, args.sites):
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args.error("use either option --sites-file or site URLs")
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sys.exit(1)
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