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| 1 # Copyright (c) 2012 The Chromium Authors. All rights reserved. | |
| 2 # Use of this source code is governed by a BSD-style license that can be | |
| 3 # found in the LICENSE file. | |
| 4 | |
| 5 import re | |
| 6 import sys | |
| 7 | |
| 8 import json | |
| 9 import logging | |
| 10 import math | |
| 11 | |
| 12 import perf_result_data_type | |
| 13 | |
| 14 | |
| 15 # Mapping from result type to test output | |
| 16 RESULT_TYPES = {perf_result_data_type.UNIMPORTANT: 'RESULT ', | |
| 17 perf_result_data_type.DEFAULT: '*RESULT ', | |
| 18 perf_result_data_type.INFORMATIONAL: '', | |
| 19 perf_result_data_type.UNIMPORTANT_HISTOGRAM: 'HISTOGRAM ', | |
| 20 perf_result_data_type.HISTOGRAM: '*HISTOGRAM '} | |
| 21 | |
|
bulach
2013/09/13 10:31:18
nit: \n
| |
| 22 def _EscapePerfResult(s): | |
| 23 """Escapes |s| for use in a perf result.""" | |
| 24 return re.sub('[\:|=/#&,]', '_', s) | |
| 25 | |
| 26 | |
| 27 def _Flatten(values): | |
| 28 """Returns a simple list without sub-lists.""" | |
| 29 ret = [] | |
| 30 for entry in values: | |
| 31 if isinstance(entry, list): | |
| 32 ret.extend(_Flatten(entry)) | |
| 33 else: | |
| 34 ret.append(entry) | |
| 35 return ret | |
| 36 | |
| 37 | |
| 38 def GeomMeanAndStdDevFromHistogram(histogram_json): | |
| 39 histogram = json.loads(histogram_json) | |
| 40 # Handle empty histograms gracefully. | |
| 41 if not 'buckets' in histogram: | |
| 42 return 0.0, 0.0 | |
| 43 count = 0 | |
| 44 sum_of_logs = 0 | |
| 45 for bucket in histogram['buckets']: | |
| 46 if 'high' in bucket: | |
| 47 bucket['mean'] = (bucket['low'] + bucket['high']) / 2.0 | |
| 48 else: | |
| 49 bucket['mean'] = bucket['low'] | |
| 50 if bucket['mean'] > 0: | |
| 51 sum_of_logs += math.log(bucket['mean']) * bucket['count'] | |
| 52 count += bucket['count'] | |
| 53 | |
| 54 if count == 0: | |
| 55 return 0.0, 0.0 | |
| 56 | |
| 57 sum_of_squares = 0 | |
| 58 geom_mean = math.exp(sum_of_logs / count) | |
| 59 for bucket in histogram['buckets']: | |
| 60 if bucket['mean'] > 0: | |
| 61 sum_of_squares += (bucket['mean'] - geom_mean) ** 2 * bucket['count'] | |
| 62 return geom_mean, math.sqrt(sum_of_squares / count) | |
| 63 | |
| 64 | |
| 65 def _MeanAndStdDevFromList(values): | |
| 66 avg = None | |
| 67 sd = None | |
| 68 if len(values) > 1: | |
| 69 try: | |
| 70 value = '[%s]' % ','.join([str(v) for v in values]) | |
| 71 avg = sum([float(v) for v in values]) / len(values) | |
| 72 sqdiffs = [(float(v) - avg) ** 2 for v in values] | |
| 73 variance = sum(sqdiffs) / (len(values) - 1) | |
| 74 sd = math.sqrt(variance) | |
| 75 except ValueError: | |
| 76 value = ", ".join(values) | |
| 77 else: | |
| 78 value = values[0] | |
| 79 return value, avg, sd | |
| 80 | |
| 81 | |
| 82 def PrintPages(page_list): | |
| 83 """Prints list of pages to stdout in the format required by perf tests.""" | |
| 84 print 'Pages: [%s]' % ','.join([_EscapePerfResult(p) for p in page_list]) | |
| 85 | |
| 86 | |
| 87 def PrintPerfResult(measurement, trace, values, units, | |
| 88 result_type=perf_result_data_type.DEFAULT, | |
| 89 print_to_stdout=True): | |
| 90 """Prints numerical data to stdout in the format required by perf tests. | |
| 91 | |
| 92 The string args may be empty but they must not contain any colons (:) or | |
| 93 equals signs (=). | |
| 94 | |
| 95 Args: | |
| 96 measurement: A description of the quantity being measured, e.g. "vm_peak". | |
| 97 trace: A description of the particular data point, e.g. "reference". | |
| 98 values: A list of numeric measured values. An N-dimensional list will be | |
| 99 flattened and treated as a simple list. | |
| 100 units: A description of the units of measure, e.g. "bytes". | |
| 101 result_type: Accepts values of perf_result_data_type.ALL_TYPES. | |
| 102 print_to_stdout: If True, prints the output in stdout instead of returning | |
| 103 the output to caller. | |
| 104 | |
| 105 Returns: | |
| 106 String of the formated perf result. | |
| 107 """ | |
| 108 assert (perf_result_data_type.IsValidType(result_type), | |
| 109 'result type: %s is invalid' % result_type) | |
| 110 | |
| 111 trace_name = _EscapePerfResult(trace) | |
| 112 | |
| 113 if (result_type == perf_result_data_type.UNIMPORTANT or | |
| 114 result_type == perf_result_data_type.DEFAULT or | |
| 115 result_type == perf_result_data_type.INFORMATIONAL): | |
| 116 assert isinstance(values, list) | |
| 117 assert len(values) | |
| 118 assert '/' not in measurement | |
| 119 value, avg, sd = _MeanAndStdDevFromList(_Flatten(values)) | |
| 120 output = '%s%s: %s%s%s %s' % ( | |
| 121 RESULT_TYPES[result_type], | |
| 122 _EscapePerfResult(measurement), | |
| 123 trace_name, | |
| 124 # Do not show equal sign if the trace is empty. Usually it happens when | |
| 125 # measurement is enough clear to describe the result. | |
| 126 '= ' if trace_name else '', | |
| 127 value, | |
| 128 units) | |
| 129 else: | |
| 130 assert perf_result_data_type.IsHistogram(result_type) | |
| 131 assert isinstance(values, list) | |
| 132 # The histograms can only be printed individually, there's no computation | |
| 133 # across different histograms. | |
| 134 assert len(values) == 1 | |
| 135 value = values[0] | |
| 136 output = '%s%s: %s= %s' % ( | |
| 137 RESULT_TYPES[result_type], | |
| 138 _EscapePerfResult(measurement), | |
| 139 trace_name, | |
| 140 value) | |
| 141 avg, sd = GeomMeanAndStdDevFromHistogram(value) | |
| 142 | |
| 143 if avg: | |
| 144 output += '\nAvg %s: %f%s' % (measurement, avg, units) | |
| 145 if sd: | |
| 146 output += '\nSd %s: %f%s' % (measurement, sd, units) | |
| 147 if print_to_stdout: | |
| 148 print output | |
| 149 sys.stdout.flush() | |
| 150 return output | |
|
bulach
2013/09/13 10:31:18
nit: I think this file would be clearer as perf_te
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