Delete tools/telemetry.

tools/telemetry/telemetry/internal/platform/profiler/monsoon_profiler.py

Index: tools/telemetry/telemetry/internal/platform/profiler/monsoon_profiler.py
diff --git a/tools/telemetry/telemetry/internal/platform/profiler/monsoon_profiler.py b/tools/telemetry/telemetry/internal/platform/profiler/monsoon_profiler.py
deleted file mode 100644
index e8712e6642007fde2cf93fdb8be5b21c275775a1..0000000000000000000000000000000000000000
--- a/tools/telemetry/telemetry/internal/platform/profiler/monsoon_profiler.py
+++ /dev/null
@@ -1,97 +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.
-
-"""Profiler using data collected from a Monsoon power meter.
-
-http://msoon.com/LabEquipment/PowerMonitor/
-Data collected is a namedtuple of (amps, volts), at 5000 samples/second.
-Output graph plots power in watts over time in seconds.
-"""
-
-import csv
-import multiprocessing
-
-from telemetry.core import exceptions
-from telemetry.internal.platform import profiler
-from telemetry.internal.platform.profiler import monsoon
-from telemetry.util import statistics
-
-
-def _CollectData(output_path, is_collecting):
-  mon = monsoon.Monsoon(wait=False)
-  # Note: Telemetry requires the device to be connected by USB, but that
-  # puts it in charging mode. This increases the power consumption.
-  mon.SetUsbPassthrough(1)
-  # Nominal Li-ion voltage is 3.7V, but it puts out 4.2V at max capacity. Use
-  # 4.0V to simulate a "~80%" charged battery. Google "li-ion voltage curve".
-  # This is true only for a single cell. (Most smartphones, some tablets.)
-  mon.SetVoltage(4.0)
-
-  samples = []
-  try:
-    mon.StartDataCollection()
-    # Do one CollectData() to make the Monsoon set up, which takes about
-    # 0.3 seconds, and only signal that we've started after that.
-    mon.CollectData()
-    is_collecting.set()
-    while is_collecting.is_set():
-      samples += mon.CollectData()
-  finally:
-    mon.StopDataCollection()
-
-  # Add x-axis labels.
-  plot_data = [(i / 5000., sample.amps * sample.volts)
-               for i, sample in enumerate(samples)]
-
-  # Print data in csv.
-  with open(output_path, 'w') as output_file:
-    output_writer = csv.writer(output_file)
-    output_writer.writerows(plot_data)
-    output_file.flush()
-
-  power_samples = [s.amps * s.volts for s in samples]
-
-  print 'Monsoon profile power readings in watts:'
-  print '  Total    = %f' % statistics.TrapezoidalRule(power_samples, 1/5000.)
-  print ('  Average  = %f' % statistics.ArithmeticMean(power_samples) +
-         '+-%f' % statistics.StandardDeviation(power_samples))
-  print '  Peak     = %f' % max(power_samples)
-  print '  Duration = %f' % (len(power_samples) / 5000.)
-
-  print 'To view the Monsoon profile, run:'
-  print ('  echo "set datafile separator \',\'; plot \'%s\' with lines" | '
-      'gnuplot --persist' % output_path)
-
-
-class MonsoonProfiler(profiler.Profiler):
-  def __init__(self, browser_backend, platform_backend, output_path, state):
-    super(MonsoonProfiler, self).__init__(
-        browser_backend, platform_backend, output_path, state)
-    # We collect the data in a separate process, so we can continuously
-    # read the samples from the USB port while running the test.
-    self._is_collecting = multiprocessing.Event()
-    self._collector = multiprocessing.Process(
-        target=_CollectData, args=(output_path, self._is_collecting))
-    self._collector.start()
-    if not self._is_collecting.wait(timeout=0.5):
-      self._collector.terminate()
-      raise exceptions.ProfilingException('Failed to start data collection.')
-
-  @classmethod
-  def name(cls):
-    return 'monsoon'
-
-  @classmethod
-  def is_supported(cls, browser_type):
-    try:
-      monsoon.Monsoon(wait=False)
-    except EnvironmentError:
-      return False
-    else:
-      return True
-
-  def CollectProfile(self):
-    self._is_collecting.clear()
-    self._collector.join()
-    return [self._output_path]