def GetValue(self, page, tab, results):
data = self._GetHistogramFromDomAutomation(tab)
if not data:
return
new_histogram = histogram_util.SubtractHistogram(
data, self._start_values[page.url + self.name])
results.Add(self.name,
self.units,
new_histogram,
data_type='unimportant-histogram')
def ValidateAndMeasurePage(self, page, tab, results):
"""On the last tab, cycle through each tab that was opened and then record
a single histogram for the tab switching metric."""
if len(tab.browser.tabs) != len(page.page_set.pages):
return
# Measure power usage of tabs after quiescence.
util.WaitFor(tab.HasReachedQuiescence, 60)
if tab.browser.platform.CanMonitorPower():
self._power_metric.Start(page, tab)
time.sleep(TabSwitching.SAMPLE_TIME)
self._power_metric.Stop(page, tab)
self._power_metric.AddResults(
tab,
results,
)
histogram_name = 'MPArch.RWH_TabSwitchPaintDuration'
histogram_type = histogram_util.BROWSER_HISTOGRAM
display_name = 'MPArch_RWH_TabSwitchPaintDuration'
first_histogram = histogram_util.GetHistogram(histogram_type,
histogram_name, tab)
prev_histogram = first_histogram
for i in xrange(len(tab.browser.tabs)):
t = tab.browser.tabs[i]
t.Activate()
def _IsDone():
cur_histogram = histogram_util.GetHistogram(
histogram_type, histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(
cur_histogram, prev_histogram)
return diff_histogram
util.WaitFor(_IsDone, 30)
prev_histogram = histogram_util.GetHistogram(
histogram_type, histogram_name, tab)
last_histogram = histogram_util.GetHistogram(histogram_type,
histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(
last_histogram, first_histogram)
results.AddSummaryValue(
histogram.HistogramValue(None,
display_name,
'',
raw_value_json=diff_histogram,
important=False))
def Stop(self, page, tab):
"""Prepare the results for this page.
The results are the differences between the current histogram values
and the values when Start() was called.
"""
assert self._histogram_start, 'Must call Start() first'
for h in _HISTOGRAMS:
# Histogram data may not be available
if h['name'] not in self._histogram_start:
continue
histogram_data = histogram_util.GetHistogram(
h['type'], h['name'], tab)
self._histogram_delta[h['name']] = histogram_util.SubtractHistogram(
histogram_data, self._histogram_start[h['name']])
def testSubtractHistogram(self):
baseline_histogram = """{"count": 3, "buckets": [
{"low": 1, "high": 2, "count": 1},
{"low": 2, "high": 3, "count": 2}]}"""
later_histogram = """{"count": 14, "buckets": [
{"low": 1, "high": 2, "count": 1},
{"low": 2, "high": 3, "count": 3},
{"low": 3, "high": 4, "count": 10}]}"""
new_histogram = json.loads(
histogram_util.SubtractHistogram(later_histogram, baseline_histogram))
new_buckets = dict()
for b in new_histogram['buckets']:
new_buckets[b['low']] = b['count']
self.assertFalse(1 in new_buckets)
self.assertEquals(1, new_buckets[2])
self.assertEquals(10, new_buckets[3])
def MeasurePage(self, page, tab, results):
"""On the last tab, cycle through each tab that was opened and then record
a single histogram for the tab switching metric."""
if len(tab.browser.tabs) != len(page.page_set.pages):
return
self._cpu_metric.Start(page, tab)
time.sleep(.5)
self._cpu_metric.Stop(page, tab)
# Calculate the idle cpu load before any actions are done.
self._cpu_metric.AddResults(tab, results, 'idle_cpu_utilization')
histogram_name = 'MPArch.RWH_TabSwitchPaintDuration'
histogram_type = histogram_util.BROWSER_HISTOGRAM
first_histogram = histogram_util.GetHistogram(histogram_type,
histogram_name, tab)
prev_histogram = first_histogram
for i in xrange(len(tab.browser.tabs)):
t = tab.browser.tabs[i]
t.Activate()
def _IsDone():
cur_histogram = histogram_util.GetHistogram(
histogram_type, histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(
cur_histogram, prev_histogram)
return diff_histogram
util.WaitFor(_IsDone, 30)
prev_histogram = histogram_util.GetHistogram(
histogram_type, histogram_name, tab)
last_histogram = histogram_util.GetHistogram(histogram_type,
histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(
last_histogram, first_histogram)
results.AddSummary(histogram_name,
'',
diff_histogram,
data_type='unimportant-histogram')
def _IsDone():
cur_histogram = histogram_util.GetHistogram(
histogram_type, histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(
cur_histogram, prev_histogram)
return diff_histogram