Delete tools/telemetry.

tools/telemetry/telemetry/value/list_of_scalar_values.py

Index: tools/telemetry/telemetry/value/list_of_scalar_values.py
diff --git a/tools/telemetry/telemetry/value/list_of_scalar_values.py b/tools/telemetry/telemetry/value/list_of_scalar_values.py
deleted file mode 100644
index bd898c9fd83bcd807066a135b08f4051e85f4251..0000000000000000000000000000000000000000
--- a/tools/telemetry/telemetry/value/list_of_scalar_values.py
+++ /dev/null
@@ -1,223 +0,0 @@
-# Copyright 2013 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.
-
-import numbers
-import math
-
-from telemetry import value as value_module
-from telemetry.value import none_values
-from telemetry.value import summarizable
-
-
-def Variance(sample):
-  """ Compute the population variance.
-
-    Args:
-      sample: a list of numbers.
-  """
-  k = len(sample) - 1  # Bessel correction
-  if k <= 0:
-    return 0
-  m = _Mean(sample)
-  return sum((x - m)**2 for x in sample)/k
-
-
-def StandardDeviation(sample):
-  """ Compute standard deviation for a list of numbers.
-
-    Args:
-      sample: a list of numbers.
-  """
-  return math.sqrt(Variance(sample))
-
-
-def PooledStandardDeviation(list_of_samples, list_of_variances=None):
-  """ Compute standard deviation for a list of samples.
-
-  See: https://en.wikipedia.org/wiki/Pooled_variance for the formula.
-
-  Args:
-    list_of_samples: a list of lists, each is a list of numbers.
-    list_of_variances: a list of numbers, the i-th element is the variance of
-      the i-th sample in list_of_samples. If this is None, we use
-      Variance(sample) to get the variance of the i-th sample.
-  """
-  pooled_variance = 0.0
-  total_degrees_of_freedom = 0
-  for i in xrange(len(list_of_samples)):
-    l = list_of_samples[i]
-    k = len(l) - 1  # Bessel correction
-    if k <= 0:
-      continue
-    variance = list_of_variances[i] if list_of_variances else Variance(l)
-    pooled_variance += k * variance
-    total_degrees_of_freedom += k
-  if total_degrees_of_freedom:
-    return (pooled_variance/total_degrees_of_freedom) ** 0.5
-  return 0
-
-
-def _Mean(values):
-  return float(sum(values)) / len(values) if len(values) > 0 else 0.0
-
-
-class ListOfScalarValues(summarizable.SummarizableValue):
-  """ ListOfScalarValues represents a list of numbers.
-
-  By default, std is the standard deviation of all numbers in the list. Std can
-  also be specified in the constructor if the numbers are not from the same
-  population.
-  """
-  def __init__(self, page, name, units, values,
-               important=True, description=None,
-               tir_label=None, none_value_reason=None,
-               std=None, same_page_merge_policy=value_module.CONCATENATE,
-               improvement_direction=None):
-    super(ListOfScalarValues, self).__init__(page, name, units, important,
-                                             description, tir_label,
-                                             improvement_direction)
-    if values is not None:
-      assert isinstance(values, list)
-      assert len(values) > 0
-      assert all(isinstance(v, numbers.Number) for v in values)
-      assert std is None or isinstance(std, numbers.Number)
-    else:
-      assert std is None
-    none_values.ValidateNoneValueReason(values, none_value_reason)
-    self.values = values
-    self.none_value_reason = none_value_reason
-    self.same_page_merge_policy = same_page_merge_policy
-    if values is not None and std is None:
-      std = StandardDeviation(values)
-    assert std is None or std >= 0, (
-        'standard deviation cannot be negative: %s' % std)
-    self._std = std
-
-  @property
-  def std(self):
-    return self._std
-
-  @property
-  def variance(self):
-    return self._std ** 2
-
-  def __repr__(self):
-    if self.page:
-      page_name = self.page.display_name
-    else:
-      page_name = 'None'
-    if self.same_page_merge_policy == value_module.CONCATENATE:
-      merge_policy = 'CONCATENATE'
-    else:
-      merge_policy = 'PICK_FIRST'
-    return ('ListOfScalarValues(%s, %s, %s, %s, '
-            'important=%s, description=%s, tir_label=%s, std=%s, '
-            'same_page_merge_policy=%s, improvement_direction=%s)') % (
-                page_name,
-                self.name,
-                self.units,
-                repr(self.values),
-                self.important,
-                self.description,
-                self.tir_label,
-                self.std,
-                merge_policy,
-                self.improvement_direction)
-
-  def GetBuildbotDataType(self, output_context):
-    if self._IsImportantGivenOutputIntent(output_context):
-      return 'default'
-    return 'unimportant'
-
-  def GetBuildbotValue(self):
-    return self.values
-
-  def GetRepresentativeNumber(self):
-    return _Mean(self.values)
-
-  def GetRepresentativeString(self):
-    return repr(self.values)
-
-  def IsMergableWith(self, that):
-    return (super(ListOfScalarValues, self).IsMergableWith(that) and
-            self.same_page_merge_policy == that.same_page_merge_policy)
-
-  @staticmethod
-  def GetJSONTypeName():
-    return 'list_of_scalar_values'
-
-  def AsDict(self):
-    d = super(ListOfScalarValues, self).AsDict()
-    d['values'] = self.values
-    d['std'] = self.std
-
-    if self.none_value_reason is not None:
-      d['none_value_reason'] = self.none_value_reason
-
-    return d
-
-  @staticmethod
-  def FromDict(value_dict, page_dict):
-    kwargs = value_module.Value.GetConstructorKwArgs(value_dict, page_dict)
-    kwargs['values'] = value_dict['values']
-    kwargs['std'] = value_dict['std']
-
-    if 'improvement_direction' in value_dict:
-      kwargs['improvement_direction'] = value_dict['improvement_direction']
-    if 'none_value_reason' in value_dict:
-      kwargs['none_value_reason'] = value_dict['none_value_reason']
-    if 'tir_label' in value_dict:
-      kwargs['tir_label'] = value_dict['tir_label']
-
-    return ListOfScalarValues(**kwargs)
-
-  @classmethod
-  def MergeLikeValuesFromSamePage(cls, values):
-    assert len(values) > 0
-    v0 = values[0]
-
-    if v0.same_page_merge_policy == value_module.PICK_FIRST:
-      return ListOfScalarValues(
-          v0.page, v0.name, v0.units,
-          values[0].values,
-          important=v0.important,
-          same_page_merge_policy=v0.same_page_merge_policy,
-          none_value_reason=v0.none_value_reason,
-          improvement_direction=v0.improvement_direction)
-
-    assert v0.same_page_merge_policy == value_module.CONCATENATE
-    return cls._MergeLikeValues(values, v0.page, v0.name, v0.tir_label)
-
-  @classmethod
-  def MergeLikeValuesFromDifferentPages(cls, values):
-    assert len(values) > 0
-    v0 = values[0]
-    return cls._MergeLikeValues(values, None, v0.name, v0.tir_label)
-
-  @classmethod
-  def _MergeLikeValues(cls, values, page, name, tir_label):
-    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
-        none_value_reason = none_values.MERGE_FAILURE_REASON
-        break
-      merged_values.extend(v.values)
-      list_of_samples.append(v.values)
-    if merged_values:
-      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,
-        tir_label=tir_label,
-        same_page_merge_policy=v0.same_page_merge_policy,
-        std=pooled_std,
-        none_value_reason=none_value_reason,
-        improvement_direction=v0.improvement_direction)