Delete tools/telemetry.

tools/telemetry/telemetry/web_perf/metrics/memory_timeline.py

Index: tools/telemetry/telemetry/web_perf/metrics/memory_timeline.py
diff --git a/tools/telemetry/telemetry/web_perf/metrics/memory_timeline.py b/tools/telemetry/telemetry/web_perf/metrics/memory_timeline.py
deleted file mode 100644
index c20b4d06446fb48598f5f7f617503f2f0efcd821..0000000000000000000000000000000000000000
--- a/tools/telemetry/telemetry/web_perf/metrics/memory_timeline.py
+++ /dev/null
@@ -1,68 +0,0 @@
-# Copyright 2015 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 collections
-
-from telemetry.timeline import memory_dump_event
-from telemetry.value import improvement_direction
-from telemetry.value import list_of_scalar_values
-from telemetry.web_perf.metrics import timeline_based_metric
-
-
-DEFAULT_METRICS = memory_dump_event.MMAPS_METRICS.keys()
-
-
-def _AggregateDicts(dicts):
-  """Turn a sequence of dictionaries into a dictionary of lists."""
-  result = collections.defaultdict(list)
-  for d in dicts:
-    for k, v in d.iteritems():
-      result[k].append(v)
-  return result
-
-
-class MemoryTimelineMetric(timeline_based_metric.TimelineBasedMetric):
-  """MemoryTimelineMetric reports summary stats from memory dump events."""
-
-  def AddResults(self, model, renderer_thread, interactions, results):
-    del renderer_thread  # unused
-    def ContainedIn(dump, interaction):
-      return interaction.start < dump.start and dump.end < interaction.end
-
-    def OccursDuringInteractions(dump):
-      return any(ContainedIn(dump, interaction) for interaction in interactions)
-
-    def ReportResultsForProcess(memory_dumps, process_name):
-      if not memory_dumps:
-        metric_values = dict.fromkeys(DEFAULT_METRICS)
-        none_reason = 'No memory dumps with mmaps found within interactions'
-      else:
-        metric_values = _AggregateDicts(
-            dump.GetMemoryUsage() for dump in memory_dumps)
-        none_reason = None
-      for metric, values in metric_values.iteritems():
-        results.AddValue(list_of_scalar_values.ListOfScalarValues(
-            page=results.current_page,
-            name='memory_%s_%s' % (metric, process_name),
-            units='bytes',
-            tir_label=interactions[0].label,
-            values=values,
-            none_value_reason=none_reason,
-            improvement_direction=improvement_direction.DOWN))
-
-    memory_dumps = filter(OccursDuringInteractions,
-                          model.IterGlobalMemoryDumps())
-
-    # Either all dumps should contain memory maps (Android, Linux), or none
-    # of them (Windows, Mac).
-    assert len(set(dump.has_mmaps for dump in memory_dumps)) <= 1
-
-    ReportResultsForProcess(memory_dumps, 'total')
-
-    process_dumps_by_name = _AggregateDicts(
-        {process_dump.process_name.lower().replace(' ', '_'): process_dump
-         for process_dump in memory_dump.IterProcessMemoryDumps()}
-        for memory_dump in memory_dumps)
-    for process_name, process_dumps in process_dumps_by_name.iteritems():
-      ReportResultsForProcess(process_dumps, process_name)