Delete tools/telemetry.

tools/telemetry/telemetry/util/perf_tests_results_helper.py

-# 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 re
-import sys
-
-import json
-import math
-
-from telemetry.util import perf_result_data_type
-
-
-# Mapping from result type to test output
-RESULT_TYPES = {perf_result_data_type.UNIMPORTANT: 'RESULT ',
-                perf_result_data_type.DEFAULT: '*RESULT ',
-                perf_result_data_type.INFORMATIONAL: '',
-                perf_result_data_type.UNIMPORTANT_HISTOGRAM: 'HISTOGRAM ',
-                perf_result_data_type.HISTOGRAM: '*HISTOGRAM '}
-
-
-def _EscapePerfResult(s):
-  """Escapes |s| for use in a perf result."""
-  return re.sub(r'[\:|=/#&,]', '_', s)
-
-
-def FlattenList(values):
-  """Returns a simple list without sub-lists."""
-  ret = []
-  for entry in values:
-    if isinstance(entry, list):
-      ret.extend(FlattenList(entry))
-    else:
-      ret.append(entry)
-  return ret
-
-
-def GeomMeanAndStdDevFromHistogram(histogram_json):
-  histogram = json.loads(histogram_json)
-  # Handle empty histograms gracefully.
-  if not 'buckets' in histogram:
-    return 0.0, 0.0
-  count = 0
-  sum_of_logs = 0
-  for bucket in histogram['buckets']:
-    if 'high' in bucket:
-      bucket['mean'] = (bucket['low'] + bucket['high']) / 2.0
-    else:
-      bucket['mean'] = bucket['low']
-    if bucket['mean'] > 0:
-      sum_of_logs += math.log(bucket['mean']) * bucket['count']
-      count += bucket['count']
-
-  if count == 0:
-    return 0.0, 0.0
-
-  sum_of_squares = 0
-  geom_mean = math.exp(sum_of_logs / count)
-  for bucket in histogram['buckets']:
-    if bucket['mean'] > 0:
-      sum_of_squares += (bucket['mean'] - geom_mean) ** 2 * bucket['count']
-  return geom_mean, math.sqrt(sum_of_squares / count)
-
-
-def _ValueToString(v):
-  # Special case for floats so we don't print using scientific notation.
-  if isinstance(v, float):
-    return '%f' % v
-  else:
-    return str(v)
-
-
-def _MeanAndStdDevFromList(values):
-  avg = None
-  sd = None
-  if len(values) > 1:
-    try:
-      value = '[%s]' % ','.join([_ValueToString(v) for v in values])
-      avg = sum([float(v) for v in values]) / len(values)
-      sqdiffs = [(float(v) - avg) ** 2 for v in values]
-      variance = sum(sqdiffs) / (len(values) - 1)
-      sd = math.sqrt(variance)
-    except ValueError:
-      value = ', '.join(values)
-  else:
-    value = values[0]
-  return value, avg, sd
-
-
-def PrintPages(page_list):
-  """Prints list of pages to stdout in the format required by perf tests."""
-  print 'Pages: [%s]' % ','.join([_EscapePerfResult(p) for p in page_list])
-
-
-def PrintPerfResult(measurement, trace, values, units,
-                    result_type=perf_result_data_type.DEFAULT,
-                    print_to_stdout=True):
-  """Prints numerical data to stdout in the format required by perf tests.
-
-  The string args may be empty but they must not contain any colons (:) or
-  equals signs (=).
-  This is parsed by the buildbot using:
-  http://src.chromium.org/viewvc/chrome/trunk/tools/build/scripts/slave/process_log_utils.py
-
-  Args:
-    measurement: A description of the quantity being measured, e.g. "vm_peak".
-        On the dashboard, this maps to a particular graph. Mandatory.
-    trace: A description of the particular data point, e.g. "reference".
-        On the dashboard, this maps to a particular "line" in the graph.
-        Mandatory.
-    values: A list of numeric measured values. An N-dimensional list will be
-        flattened and treated as a simple list.
-    units: A description of the units of measure, e.g. "bytes".
-    result_type: Accepts values of perf_result_data_type.ALL_TYPES.
-    print_to_stdout: If True, prints the output in stdout instead of returning
-        the output to caller.
-
-    Returns:
-      String of the formated perf result.
-  """
-  assert perf_result_data_type.IsValidType(result_type), \
-         'result type: %s is invalid' % result_type
-
-  trace_name = _EscapePerfResult(trace)
-
-  if (result_type == perf_result_data_type.UNIMPORTANT or
-      result_type == perf_result_data_type.DEFAULT or
-      result_type == perf_result_data_type.INFORMATIONAL):
-    assert isinstance(values, list)
-    assert '/' not in measurement
-    flattened_values = FlattenList(values)
-    assert len(flattened_values)
-    value, avg, sd = _MeanAndStdDevFromList(flattened_values)
-    output = '%s%s: %s%s%s %s' % (
-        RESULT_TYPES[result_type],
-        _EscapePerfResult(measurement),
-        trace_name,
-        # Do not show equal sign if the trace is empty. Usually it happens when
-        # measurement is enough clear to describe the result.
-        '= ' if trace_name else '',
-        value,
-        units)
-  else:
-    assert perf_result_data_type.IsHistogram(result_type)
-    assert isinstance(values, list)
-    # The histograms can only be printed individually, there's no computation
-    # across different histograms.
-    assert len(values) == 1
-    value = values[0]
-    output = '%s%s: %s= %s %s' % (
-        RESULT_TYPES[result_type],
-        _EscapePerfResult(measurement),
-        trace_name,
-        value,
-        units)
-    avg, sd = GeomMeanAndStdDevFromHistogram(value)
-
-  if avg:
-    output += '\nAvg %s: %f%s' % (measurement, avg, units)
-  if sd:
-    output += '\nSd  %s: %f%s' % (measurement, sd, units)
-  if print_to_stdout:
-    print output
-    sys.stdout.flush()
-  return output