284 lines
9.8 KiB
Python
Executable File
284 lines
9.8 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# Copyright 2016 The Chromium OS Authors. All rights reserved.
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# Use of this source code is governed by a BSD-style license that can be
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# found in the LICENSE file.
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"""Given a specially-formatted JSON object, generates results report(s).
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The JSON object should look like:
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{"data": BenchmarkData, "platforms": BenchmarkPlatforms}
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BenchmarkPlatforms is a [str], each of which names a platform the benchmark
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was run on (e.g. peppy, shamu, ...). Note that the order of this list is
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related with the order of items in BenchmarkData.
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BenchmarkData is a {str: [PlatformData]}. The str is the name of the benchmark,
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and a PlatformData is a set of data for a given platform. There must be one
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PlatformData for each benchmark, for each element in BenchmarkPlatforms.
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A PlatformData is a [{str: float}], where each str names a metric we recorded,
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and the float is the value for that metric. Each element is considered to be
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the metrics collected from an independent run of this benchmark. NOTE: Each
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PlatformData is expected to have a "retval" key, with the return value of
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the benchmark. If the benchmark is successful, said return value should be 0.
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Otherwise, this will break some of our JSON functionality.
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Putting it all together, a JSON object will end up looking like:
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{ "platforms": ["peppy", "peppy-new-crosstool"],
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"data": {
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"bench_draw_line": [
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[{"time (ms)": 1.321, "memory (mb)": 128.1, "retval": 0},
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{"time (ms)": 1.920, "memory (mb)": 128.4, "retval": 0}],
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[{"time (ms)": 1.221, "memory (mb)": 124.3, "retval": 0},
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{"time (ms)": 1.423, "memory (mb)": 123.9, "retval": 0}]
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]
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}
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}
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Which says that we ran a benchmark on platforms named peppy, and
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peppy-new-crosstool.
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We ran one benchmark, named bench_draw_line.
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It was run twice on each platform.
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Peppy's runs took 1.321ms and 1.920ms, while peppy-new-crosstool's took 1.221ms
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and 1.423ms. None of the runs failed to complete.
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"""
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from __future__ import division
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from __future__ import print_function
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import argparse
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import functools
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import json
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import os
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import sys
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import traceback
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from results_report import BenchmarkResults
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from results_report import HTMLResultsReport
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from results_report import JSONResultsReport
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from results_report import TextResultsReport
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def CountBenchmarks(benchmark_runs):
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"""Counts the number of iterations for each benchmark in benchmark_runs."""
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# Example input for benchmark_runs:
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# {"bench": [[run1, run2, run3], [run1, run2, run3, run4]]}
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def _MaxLen(results):
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return 0 if not results else max(len(r) for r in results)
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return [(name, _MaxLen(results)) for name, results in benchmark_runs.items()]
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def CutResultsInPlace(results, max_keys=50, complain_on_update=True):
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"""Limits the given benchmark results to max_keys keys in-place.
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This takes the `data` field from the benchmark input, and mutates each
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benchmark run to contain `max_keys` elements (ignoring special elements, like
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"retval"). At the moment, it just selects the first `max_keys` keyvals,
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alphabetically.
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If complain_on_update is true, this will print a message noting that a
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truncation occurred.
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This returns the `results` object that was passed in, for convenience.
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e.g.
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>>> benchmark_data = {
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... "bench_draw_line": [
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... [{"time (ms)": 1.321, "memory (mb)": 128.1, "retval": 0},
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... {"time (ms)": 1.920, "memory (mb)": 128.4, "retval": 0}],
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... [{"time (ms)": 1.221, "memory (mb)": 124.3, "retval": 0},
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... {"time (ms)": 1.423, "memory (mb)": 123.9, "retval": 0}]
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... ]
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... }
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>>> CutResultsInPlace(benchmark_data, max_keys=1, complain_on_update=False)
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{
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'bench_draw_line': [
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[{'memory (mb)': 128.1, 'retval': 0},
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{'memory (mb)': 128.4, 'retval': 0}],
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[{'memory (mb)': 124.3, 'retval': 0},
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{'memory (mb)': 123.9, 'retval': 0}]
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]
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}
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"""
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actually_updated = False
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for bench_results in results.values():
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for platform_results in bench_results:
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for i, result in enumerate(platform_results):
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# Keep the keys that come earliest when sorted alphabetically.
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# Forcing alphabetical order is arbitrary, but necessary; otherwise,
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# the keyvals we'd emit would depend on our iteration order through a
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# map.
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removable_keys = sorted(k for k in result if k != 'retval')
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retained_keys = removable_keys[:max_keys]
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platform_results[i] = {k: result[k] for k in retained_keys}
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# retval needs to be passed through all of the time.
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retval = result.get('retval')
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if retval is not None:
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platform_results[i]['retval'] = retval
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actually_updated = actually_updated or \
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len(retained_keys) != len(removable_keys)
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if actually_updated and complain_on_update:
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print(
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'Warning: Some benchmark keyvals have been truncated.', file=sys.stderr)
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return results
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def _PositiveInt(s):
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i = int(s)
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if i < 0:
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raise argparse.ArgumentTypeError('%d is not a positive integer.' % (i,))
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return i
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def _AccumulateActions(args):
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"""Given program arguments, determines what actions we want to run.
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Returns [(ResultsReportCtor, str)], where ResultsReportCtor can construct a
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ResultsReport, and the str is the file extension for the given report.
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"""
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results = []
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# The order of these is arbitrary.
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if args.json:
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results.append((JSONResultsReport, 'json'))
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if args.text:
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results.append((TextResultsReport, 'txt'))
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if args.email:
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email_ctor = functools.partial(TextResultsReport, email=True)
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results.append((email_ctor, 'email'))
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# We emit HTML if nothing else was specified.
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if args.html or not results:
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results.append((HTMLResultsReport, 'html'))
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return results
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# Note: get_contents is a function, because it may be expensive (generating some
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# HTML reports takes O(seconds) on my machine, depending on the size of the
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# input data).
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def WriteFile(output_prefix, extension, get_contents, overwrite, verbose):
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"""Writes `contents` to a file named "${output_prefix}.${extension}".
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get_contents should be a zero-args function that returns a string (of the
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contents to write).
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If output_prefix == '-', this writes to stdout.
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If overwrite is False, this will not overwrite files.
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"""
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if output_prefix == '-':
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if verbose:
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print('Writing %s report to stdout' % (extension,), file=sys.stderr)
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sys.stdout.write(get_contents())
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return
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file_name = '%s.%s' % (output_prefix, extension)
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if not overwrite and os.path.exists(file_name):
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raise IOError('Refusing to write %s -- it already exists' % (file_name,))
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with open(file_name, 'w') as out_file:
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if verbose:
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print('Writing %s report to %s' % (extension, file_name), file=sys.stderr)
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out_file.write(get_contents())
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def RunActions(actions, benchmark_results, output_prefix, overwrite, verbose):
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"""Runs `actions`, returning True if all succeeded."""
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failed = False
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report_ctor = None # Make the linter happy
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for report_ctor, extension in actions:
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try:
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get_contents = lambda: report_ctor(benchmark_results).GetReport()
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WriteFile(output_prefix, extension, get_contents, overwrite, verbose)
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except Exception:
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# Complain and move along; we may have more actions that might complete
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# successfully.
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failed = True
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traceback.print_exc()
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return not failed
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def PickInputFile(input_name):
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"""Given program arguments, returns file to read for benchmark input."""
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return sys.stdin if input_name == '-' else open(input_name)
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def _NoPerfReport(_label_name, _benchmark_name, _benchmark_iteration):
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return {}
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def _ParseArgs(argv):
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parser = argparse.ArgumentParser(description='Turns JSON into results '
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'report(s).')
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parser.add_argument(
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'-v',
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'--verbose',
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action='store_true',
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help='Be a tiny bit more verbose.')
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parser.add_argument(
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'-f',
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'--force',
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action='store_true',
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help='Overwrite existing results files.')
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parser.add_argument(
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'-o',
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'--output',
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default='report',
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type=str,
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help='Prefix of the output filename (default: report). '
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'- means stdout.')
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parser.add_argument(
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'-i',
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'--input',
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required=True,
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type=str,
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help='Where to read the JSON from. - means stdin.')
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parser.add_argument(
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'-l',
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'--statistic-limit',
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default=0,
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type=_PositiveInt,
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help='The maximum number of benchmark statistics to '
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'display from a single run. 0 implies unlimited.')
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parser.add_argument(
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'--json', action='store_true', help='Output a JSON report.')
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parser.add_argument(
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'--text', action='store_true', help='Output a text report.')
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parser.add_argument(
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'--email',
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action='store_true',
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help='Output a text report suitable for email.')
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parser.add_argument(
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'--html',
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action='store_true',
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help='Output an HTML report (this is the default if no '
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'other output format is specified).')
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return parser.parse_args(argv)
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def Main(argv):
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args = _ParseArgs(argv)
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with PickInputFile(args.input) as in_file:
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raw_results = json.load(in_file)
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platform_names = raw_results['platforms']
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results = raw_results['data']
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if args.statistic_limit:
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results = CutResultsInPlace(results, max_keys=args.statistic_limit)
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benches = CountBenchmarks(results)
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# In crosperf, a label is essentially a platform+configuration. So, a name of
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# a label and a name of a platform are equivalent for our purposes.
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bench_results = BenchmarkResults(
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label_names=platform_names,
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benchmark_names_and_iterations=benches,
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run_keyvals=results,
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read_perf_report=_NoPerfReport)
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actions = _AccumulateActions(args)
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ok = RunActions(actions, bench_results, args.output, args.force, args.verbose)
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return 0 if ok else 1
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if __name__ == '__main__':
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sys.exit(Main(sys.argv[1:]))
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