def _MergeLikeValues(cls, values, page, name, grouping_keys):
v0 = values[0]
merged_values = []
list_of_samples = []
none_value_reason = None
pooled_std = None
for v in values:
if v.values is None:
merged_values = None
merged_none_values = [v for v in values if v.values is None]
none_value_reason = (
none_values.MERGE_FAILURE_REASON +
' None values: %s' % repr(merged_none_values))
break
merged_values.extend(v.values)
list_of_samples.append(v.values)
if merged_values and page is None:
# Pooled standard deviation is only used when merging values comming from
# different pages. Otherwise, fall back to the default computation done
# in the cosntructor of ListOfScalarValues.
pooled_std = PooledStandardDeviation(
list_of_samples,
list_of_variances=[v.variance for v in values])
return ListOfScalarValues(
page,
name,
v0.units,
merged_values,
important=v0.important,
description=v0.description,
tir_label=value_module.MergedTirLabel(values),
std=pooled_std,
none_value_reason=none_value_reason,
improvement_direction=v0.improvement_direction,
grouping_keys=grouping_keys)
def MergeLikeValuesFromSamePage(cls, values):
assert len(values) > 0
v0 = values[0]
return HistogramValue(
v0.page, v0.name, v0.units,
raw_value_json=histogram_util.AddHistograms(
[v.ToJSONString() for v in values]),
description=v0.description,
important=v0.important, tir_label=value_module.MergedTirLabel(values),
improvement_direction=v0.improvement_direction,
grouping_keys=v0.grouping_keys)
def _MergeLikeValues(cls, values, page, name, grouping_keys):
v0 = values[0]
merged_value = [v.value for v in values]
none_value_reason = None
if None in merged_value:
merged_value = None
merged_none_values = [v for v in values if v.value is None]
none_value_reason = (
none_values.MERGE_FAILURE_REASON +
' None values: %s' % repr(merged_none_values))
return list_of_scalar_values.ListOfScalarValues(
page, name, v0.units, merged_value, important=v0.important,
description=v0.description,
tir_label=value_module.MergedTirLabel(values),
none_value_reason=none_value_reason,
improvement_direction=v0.improvement_direction,
grouping_keys=grouping_keys)
def testMergedTirLabelForDifferentLabels(self):
v0 = ValueForTest(None, 'foo', 'ms', False, 'd', 'bar', {})
v1 = ValueForTest(None, 'foo', 'ms', False, 'd', 'baz', {})
tir_label = value.MergedTirLabel([v0, v1])
self.assertIsNone(tir_label)
def testMergedTirLabelForSameLabel(self):
v = ValueForTest(None, 'foo', 'ms', False, 'd', 'bar', {})
tir_label = value.MergedTirLabel([v, v])
self.assertEquals(tir_label, 'bar')
