mac: Expose keychain access frequency to Telemetry.

tools/perf/benchmarks/jetstream.py

 # Copyright 2014 The Chromium Authors. All rights reserved.
 # Use of this source code is governed by a BSD-style license that can be
 # found in the LICENSE file.
 
 """Runs Apple's JetStream benchmark.
 
 JetStream combines a variety of JavaScript benchmarks, covering a variety of
 advanced workloads and programming techniques, and reports a single score that
 balances them using geometric mean.
 
 Each benchmark measures a distinct workload, and no single optimization
 technique is sufficient to speed up all benchmarks. Latency tests measure that
 a web application can start up quickly, ramp up to peak performance quickly,
 and run smoothly without interruptions. Throughput tests measure the sustained
 peak performance of a web application, ignoring ramp-up time and spikes in
 smoothness. Some benchmarks demonstrate tradeoffs, and aggressive or
 specialized optimization for one benchmark might make another benchmark slower.
 """
 
 import json
 import os
 
+from measurements import PageTestMeasurement
 from telemetry import benchmark
 from telemetry.page import page_set
-from telemetry.page import page_test
 from telemetry.util import statistics
 from telemetry.value import list_of_scalar_values
 
 
-class _JetstreamMeasurement(page_test.PageTest):
+class _JetstreamMeasurement(PageTestMeasurement):
   def __init__(self):
     super(_JetstreamMeasurement, self).__init__()
 
   def WillNavigateToPage(self, page, tab):
     page.script_to_evaluate_on_commit = """
         var __results = [];
         var __real_log = window.console.log;
         window.console.log = function() {
           __results.push(Array.prototype.join.call(arguments, ' '));
           __real_log.apply(this, arguments);
@@ skipping 25 matching lines @@
       # Collect all test scores to compute geometric mean.
       for i, score in enumerate(v['result']):
         if len(all_score_lists) <= i:
           all_score_lists.append([])
         all_score_lists[i].append(score)
     all_scores = []
     for score_list in all_score_lists:
       all_scores.append(statistics.GeometricMean(score_list))
     results.AddSummaryValue(list_of_scalar_values.ListOfScalarValues(
         None, 'Score', 'score', all_scores))
+    super(_JetstreamMeasurement, self).ValidateAndMeasurePage(
+        page, tab, results)
 
 
 @benchmark.Disabled('android', 'xp')  # crbug.com/381742
 class Jetstream(benchmark.Benchmark):
   test = _JetstreamMeasurement
 
   def CreatePageSet(self, options):
     ps = page_set.PageSet(
         archive_data_file='../page_sets/data/jetstream.json',
         make_javascript_deterministic=False,
         file_path=os.path.abspath(__file__))
     ps.AddPageWithDefaultRunNavigate('http://browserbench.org/JetStream/')
     return ps