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Unified Diff: tools/perf/benchmarks/memory_health_plan.py

Issue 1266833004: telemetry: Add a page set for blink's memory usage measurement (Closed) Base URL: https://chromium.googlesource.com/chromium/src.git@master
Patch Set: Disabled Created 5 years, 3 months ago
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Index: tools/perf/benchmarks/memory_health_plan.py
diff --git a/tools/perf/benchmarks/memory_health_plan.py b/tools/perf/benchmarks/memory_health_plan.py
deleted file mode 100644
index 14be34cbf3f10ca62aec10f793ad8f95beee3e28..0000000000000000000000000000000000000000
--- a/tools/perf/benchmarks/memory_health_plan.py
+++ /dev/null
@@ -1,43 +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 re
-
-from core import perf_benchmark
-
-from telemetry import benchmark
-from telemetry.timeline import tracing_category_filter
-from telemetry.web_perf import timeline_based_measurement
-
-import page_sets
-
-
-RE_BENCHMARK_VALUES = re.compile('(fore|back)ground-memory_')
-
-
-@benchmark.Enabled('android')
-class MemoryHealthPlan(perf_benchmark.PerfBenchmark):
- """Timeline based benchmark for the Memory Health Plan."""
-
- page_set = page_sets.MemoryHealthStory
-
- def SetExtraBrowserOptions(self, options):
- # TODO(perezju): Temporary workaround to disable periodic memory dumps.
- # See: http://crbug.com/513692
- options.AppendExtraBrowserArgs('--enable-memory-benchmarking')
-
- def CreateTimelineBasedMeasurementOptions(self):
- # Enable only memory-infra, to get memory dumps, and blink.console, to get
- # the timeline markers used for mapping threads to tabs.
- trace_memory = tracing_category_filter.TracingCategoryFilter(
- filter_string='-*,blink.console,disabled-by-default-memory-infra')
- return timeline_based_measurement.Options(overhead_level=trace_memory)
-
- @classmethod
- def Name(cls):
- return 'memory.memory_health_plan'
-
- @classmethod
- def ValueCanBeAddedPredicate(cls, value, is_first_result):
- return bool(RE_BENCHMARK_VALUES.match(value.name))
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