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bisect-perf-regression_test.py
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# Copyright 2014 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 math
import unittest
# Special import necessary because filename contains dash characters.
bisect_perf_module = __import__('bisect-perf-regression')
RESULTS_OUTPUT = """RESULT write_operations: write_operations= 23089 count
RESULT read_bytes_gpu: read_bytes_gpu= 35201 kb
RESULT write_bytes_gpu: write_bytes_gpu= 542 kb
RESULT telemetry_page_measurement_results: num_failed= 0 count
RESULT telemetry_page_measurement_results: num_errored= 0 count
*RESULT Total: Total_ref= %(value)s
"""
class BisectPerfRegressionTest(unittest.TestCase):
"""Test case for top-level functions in the bisect-perf-regrssion module."""
def setUp(self):
"""Sets up the test environment before each test method."""
pass
def tearDown(self):
"""Cleans up the test environment after each test method."""
pass
def testParseDEPSStringManually(self):
"""Tests DEPS parsing."""
bisect_options = bisect_perf_module.BisectOptions()
bisect_instance = bisect_perf_module.BisectPerformanceMetrics(
None, bisect_options)
deps_file_contents = """
vars = {
'ffmpeg_hash':
'@ac4a9f31fe2610bd146857bbd55d7a260003a888',
'webkit_url':
'https://chromium.googlesource.com/chromium/blink.git',
'git_url':
'https://chromium.googlesource.com',
'webkit_rev':
'@e01ac0a267d1017288bc67fa3c366b10469d8a24',
'angle_revision':
'74697cf2064c0a2c0d7e1b1b28db439286766a05'
}"""
# Should only expect svn/git revisions to come through, and urls to be
# filtered out.
expected_vars_dict = {
'ffmpeg_hash': '@ac4a9f31fe2610bd146857bbd55d7a260003a888',
'webkit_rev': '@e01ac0a267d1017288bc67fa3c366b10469d8a24',
'angle_revision': '74697cf2064c0a2c0d7e1b1b28db439286766a05'
}
vars_dict = bisect_instance._ParseRevisionsFromDEPSFileManually(
deps_file_contents)
self.assertEqual(vars_dict, expected_vars_dict)
def testCalculateTruncatedMeanRaisesError(self):
"""CalculateTrunctedMean raises an error when passed an empty list."""
with self.assertRaises(TypeError):
bisect_perf_module.CalculateTruncatedMean([], 0)
def testCalculateMeanSingleNum(self):
"""Tests the CalculateMean function with a single number."""
self.assertEqual(3.0, bisect_perf_module.CalculateMean([3]))
def testCalculateMeanShortList(self):
"""Tests the CalculateMean function with a short list."""
self.assertEqual(0.5, bisect_perf_module.CalculateMean([-3, 0, 1, 4]))
def testCalculateMeanCompareAlternateImplementation(self):
"""Tests CalculateMean by comparing against an alternate implementation."""
def AlternateMeanFunction(values):
"""Simple arithmetic mean function."""
return sum(values) / float(len(values))
test_values_lists = [[1], [5, 6.5, 1.2, 3], [-3, 0, 1, 4],
[-3, -1, 0.12, 0.752, 3.33, 8, 16, 32, 439]]
for values in test_values_lists:
self.assertEqual(
AlternateMeanFunction(values),
bisect_perf_module.CalculateMean(values))
def testCalculateConfidence(self):
"""Tests the confidence calculation."""
bad_values = [[0, 1], [1, 2]]
good_values = [[6, 7], [7, 8]]
# Closest means are mean(1, 2) and mean(6, 7).
distance = 6.5 - 1.5
# Standard deviation of [n-1, n, n, n+1] is 0.8165.
stddev_sum = 0.8165 + 0.8165
# Expected confidence is an int in the range [0, 100].
expected_confidence = min(100, int(100 * distance / float(stddev_sum)))
self.assertEqual(
expected_confidence,
bisect_perf_module.CalculateConfidence(bad_values, good_values))
def testCalculateConfidence0(self):
"""Tests the confidence calculation when it's expected to be 0."""
bad_values = [[0, 1], [1, 2], [4, 5], [0, 2]]
good_values = [[4, 5], [6, 7], [7, 8]]
# Both groups have value lists with means of 4.5, which means distance
# between groups is zero, and thus confidence is zero.
self.assertEqual(
0, bisect_perf_module.CalculateConfidence(bad_values, good_values))
def testCalculateConfidence100(self):
"""Tests the confidence calculation when it's expected to be 100."""
bad_values = [[1, 1], [1, 1]]
good_values = [[1.2, 1.2], [1.2, 1.2]]
# Standard deviation in both groups is zero, so confidence is 100.
self.assertEqual(
100, bisect_perf_module.CalculateConfidence(bad_values, good_values))
def testCalculateRelativeChange(self):
"""Tests the common cases for calculating relative change."""
# The change is relative to the first value, regardless of which is bigger.
self.assertEqual(0.5, bisect_perf_module.CalculateRelativeChange(1.0, 1.5))
self.assertEqual(0.5, bisect_perf_module.CalculateRelativeChange(2.0, 1.0))
def testCalculateRelativeChangeFromZero(self):
"""Tests what happens when relative change from zero is calculated."""
# If the first number is zero, then the result is not a number.
self.assertEqual(0, bisect_perf_module.CalculateRelativeChange(0, 0))
self.assertTrue(
math.isnan(bisect_perf_module.CalculateRelativeChange(0, 1)))
self.assertTrue(
math.isnan(bisect_perf_module.CalculateRelativeChange(0, -1)))
def testCalculateRelativeChangeWithNegatives(self):
"""Tests that relative change given is always positive."""
self.assertEqual(3.0, bisect_perf_module.CalculateRelativeChange(-1, 2))
self.assertEqual(3.0, bisect_perf_module.CalculateRelativeChange(1, -2))
self.assertEqual(1.0, bisect_perf_module.CalculateRelativeChange(-1, -2))
def testTryParseResultValuesFromOutputWithSingleValue(self):
"""Tests result pattern <*>RESULT <graph>: <trace>= <value>"""
bisect_options = bisect_perf_module.BisectOptions()
bisect_instance = bisect_perf_module.BisectPerformanceMetrics(
None, bisect_options)
metrics = ['Total', 'Total_ref']
self.assertEqual(
[66.88], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '66.88 kb'}))
self.assertEqual(
[66.88], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '66.88kb'}))
self.assertEqual(
[66.88], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': ' 66.88 '}))
self.assertEqual(
[-66.88], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': ' -66.88 kb'}))
self.assertEqual(
[66], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '66 kb'}))
self.assertEqual(
[.66], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '.66 kb'}))
self.assertEqual(
[], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '. kb'}))
self.assertEqual(
[], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': 'aaa kb'}))
def testTryParseResultValuesFromOutputWithMulitValue(self):
"""Tests result pattern <*>RESULT <graph>: <trace>= [<value>,<value>, ..]"""
bisect_options = bisect_perf_module.BisectOptions()
bisect_instance = bisect_perf_module.BisectPerformanceMetrics(
None, bisect_options)
metrics = ['Total', 'Total_ref']
self.assertEqual(
[66.88], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[66.88] kb'}))
self.assertEqual(
[66.88, 99.44], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[66.88, 99.44]kb'}))
self.assertEqual(
[66.88, 99.44], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[ 66.88, 99.44 ]'}))
self.assertEqual(
[-66.88, 99.44], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[-66.88,99.44] kb'}))
self.assertEqual(
[-66, 99], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[-66,99] kb'}))
self.assertEqual(
[-66, 99], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[-66,99,] kb'}))
self.assertEqual(
[.66, .99], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[.66,.99] kb'}))
self.assertEqual(
[], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[] kb'}))
self.assertEqual(
[], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '[-66,abc] kb'}))
def testTryParseResultValuesFromOutputWithMeanStd(self):
"""Tests result pattern <*>RESULT <graph>: <trace>= {<mean, std}"""
bisect_options = bisect_perf_module.BisectOptions()
bisect_instance = bisect_perf_module.BisectPerformanceMetrics(
None, bisect_options)
metrics = ['Total', 'Total_ref']
self.assertEqual(
[33.22], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{33.22, 3.6} kb'}))
self.assertEqual(
[33.22], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{33.22,3.6}kb'}))
self.assertEqual(
[33.22], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{33.22,3.6} kb'}))
self.assertEqual(
[33.22], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{ 33.22,3.6 }kb'}))
self.assertEqual(
[-33.22], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{-33.22,3.6}kb'}))
self.assertEqual(
[22], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{22,6}kb'}))
self.assertEqual(
[.22], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{.22,6}kb'}))
self.assertEqual(
[], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{.22,6, 44}kb'}))
self.assertEqual(
[], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{}kb'}))
self.assertEqual(
[], bisect_instance.TryParseResultValuesFromOutput(
metrics, RESULTS_OUTPUT % {'value': '{XYZ}kb'}))
if __name__ == '__main__':
unittest.main()