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#!/usr/bin/env python2
# -*- coding: utf-8 -*-
# Copyright 2019 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Tests for afdo_prof_analysis."""
from __future__ import print_function
import afdo_prof_analysis as analysis
import random
import StringIO
import unittest
class AfdoProfAnalysisTest(unittest.TestCase):
"""Class for testing AFDO Profile Analysis"""
bad_items = {'func_a': '1', 'func_b': '3', 'func_c': '5'}
good_items = {'func_a': '2', 'func_b': '4', 'func_d': '5'}
random.seed(13) # 13 is an arbitrary choice. just for consistency
# add some extra info to make tests more reflective of real scenario
for num in range(128):
func_name = 'func_extra_%d' % num
# 1/3 to both, 1/3 only to good, 1/3 only to bad
rand_val = random.randint(1, 101)
if rand_val < 67:
bad_items[func_name] = 'test_data'
if rand_val < 34 or rand_val >= 67:
good_items[func_name] = 'test_data'
analysis.random.seed(5) # 5 is an arbitrary choice. For consistent testing
def test_text_to_json(self):
test_data = StringIO.StringIO('deflate_slow:87460059:3\n'
' 3: 24\n'
' 14: 54767\n'
' 15: 664 fill_window:22\n'
' 16: 661\n'
' 19: 637\n'
' 41: 36692 longest_match:36863\n'
' 44: 36692\n'
' 44.2: 5861\n'
' 46: 13942\n'
' 46.1: 14003\n')
expected = {
'deflate_slow': ':87460059:3\n'
' 3: 24\n'
' 14: 54767\n'
' 15: 664 fill_window:22\n'
' 16: 661\n'
' 19: 637\n'
' 41: 36692 longest_match:36863\n'
' 44: 36692\n'
' 44.2: 5861\n'
' 46: 13942\n'
' 46.1: 14003\n'
}
actual = analysis.text_to_json(test_data)
self.assertEqual(actual, expected)
test_data.close()
def test_text_to_json_empty_afdo(self):
expected = {}
actual = analysis.text_to_json('')
self.assertEqual(actual, expected)
def test_json_to_text(self):
example_prof = {'func_a': ':1\ndata\n', 'func_b': ':2\nmore data\n'}
expected_text = 'func_a:1\ndata\nfunc_b:2\nmore data\n'
self.assertEqual(analysis.json_to_text(example_prof), expected_text)
def test_bisect_profiles(self):
# mock run of external script with arbitrarily-chosen bad profile vals
# save_run specified and unused b/c afdo_prof_analysis.py
# will call with argument explicitly specified
# pylint: disable=unused-argument
class DeciderClass(object):
"""Class for this tests's decider."""
def run(self, prof, save_run=False):
if '1' in prof['func_a'] or '3' in prof['func_b']:
return analysis.StatusEnum.BAD_STATUS
return analysis.StatusEnum.GOOD_STATUS
results = analysis.bisect_profiles_wrapper(DeciderClass(), self.good_items,
self.bad_items)
self.assertEqual(results['individuals'], sorted(['func_a', 'func_b']))
self.assertEqual(results['ranges'], [])
def test_range_search(self):
# arbitrarily chosen functions whose values in the bad profile constitute
# a problematic pair
# pylint: disable=unused-argument
class DeciderClass(object):
"""Class for this tests's decider."""
def run(self, prof, save_run=False):
if '1' in prof['func_a'] and '3' in prof['func_b']:
return analysis.StatusEnum.BAD_STATUS
return analysis.StatusEnum.GOOD_STATUS
# put the problematic combination in separate halves of the common funcs
# so that non-bisecting search is invoked for its actual use case
common_funcs = [func for func in self.good_items if func in self.bad_items]
common_funcs.remove('func_a')
common_funcs.insert(0, 'func_a')
common_funcs.remove('func_b')
common_funcs.append('func_b')
problem_range = analysis.range_search(DeciderClass(), self.good_items,
self.bad_items, common_funcs, 0,
len(common_funcs))
self.assertEquals(['func_a', 'func_b'], problem_range)
def test_check_good_not_bad(self):
func_in_good = 'func_c'
# pylint: disable=unused-argument
class DeciderClass(object):
"""Class for this tests's decider."""
def run(self, prof, save_run=False):
if func_in_good in prof:
return analysis.StatusEnum.GOOD_STATUS
return analysis.StatusEnum.BAD_STATUS
self.assertTrue(
analysis.check_good_not_bad(DeciderClass(), self.good_items,
self.bad_items))
def test_check_bad_not_good(self):
func_in_bad = 'func_d'
# pylint: disable=unused-argument
class DeciderClass(object):
"""Class for this tests's decider."""
def run(self, prof, save_run=False):
if func_in_bad in prof:
return analysis.StatusEnum.BAD_STATUS
return analysis.StatusEnum.GOOD_STATUS
self.assertTrue(
analysis.check_bad_not_good(DeciderClass(), self.good_items,
self.bad_items))
if __name__ == '__main__':
unittest.main()
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