| Index: chrome/browser/metrics/perf/random_selector_unittest.cc
|
| diff --git a/chrome/browser/metrics/perf/random_selector_unittest.cc b/chrome/browser/metrics/perf/random_selector_unittest.cc
|
| new file mode 100644
|
| index 0000000000000000000000000000000000000000..d88a03251c25c07bdf3cc3e8a743426ba7a3995a
|
| --- /dev/null
|
| +++ b/chrome/browser/metrics/perf/random_selector_unittest.cc
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| @@ -0,0 +1,106 @@
|
| +// Copyright 2015 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.
|
| +
|
| +#include "chrome/browser/metrics/perf/random_selector.h"
|
| +
|
| +#include <cmath>
|
| +#include <map>
|
| +#include <string>
|
| +
|
| +#include "testing/gtest/include/gtest/gtest.h"
|
| +
|
| +// A small floating point number used to verify that the expected odds are equal
|
| +// to the odds set.
|
| +const double kEpsilon = 0.01;
|
| +
|
| +// A class that overrides RandDoubleUpTo() to not be random. The number
|
| +// generator will emulate a uniform distribution of numbers between 0.0 and
|
| +// |max| when called with the same |max| parameter and a whole multiple of
|
| +// |random_period| times. This allows better testing of the RandomSelector
|
| +// class.
|
| +class RandomSelectorWithCustomRNG : public RandomSelector {
|
| + public:
|
| + explicit RandomSelectorWithCustomRNG(unsigned int random_period)
|
| + : random_period_(random_period), current_index_(0) {}
|
| +
|
| + private:
|
| + // This function returns floats between 0.0 and |max| in an increasing
|
| + // fashion at regular intervals.
|
| + double RandDoubleUpTo(double max) override {
|
| + current_index_ = (current_index_ + 1) % random_period_;
|
| + return max * current_index_ / random_period_;
|
| + }
|
| +
|
| + // Period (number of calls) over which the fake RNG repeats.
|
| + const unsigned int random_period_;
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| +
|
| + // Stores the current position we are at in the interval between 0.0 and
|
| + // |max|. See the function RandDoubleUpTo for details on how this is used.
|
| + int current_index_;
|
| +
|
| + DISALLOW_COPY_AND_ASSIGN(RandomSelectorWithCustomRNG);
|
| +};
|
| +
|
| +// Use the random_selector to generate some values. The number of values to
|
| +// generate is |iterations|.
|
| +void GenerateResults(size_t iterations,
|
| + RandomSelector* random_selector,
|
| + std::map<std::string, int>* results) {
|
| + for (size_t i = 0; i < iterations; ++i) {
|
| + const std::string& next_value = random_selector->Select();
|
| + (*results)[next_value]++;
|
| + }
|
| +}
|
| +
|
| +// This function tests whether the results are close enough to the odds (within
|
| +// 1%).
|
| +void CheckResultsAgainstOdds(
|
| + const std::vector<RandomSelector::WeightAndValue>& odds,
|
| + const std::map<std::string, int>& results) {
|
| + EXPECT_EQ(odds.size(), results.size());
|
| +
|
| + const double odds_sum = RandomSelector::SumWeights(odds);
|
| + int results_sum = 0;
|
| + for (const auto& item : results) {
|
| + results_sum += item.second;
|
| + }
|
| +
|
| + for (const auto& odd : odds) {
|
| + const auto result = results.find(odd.value);
|
| + EXPECT_NE(result, results.end());
|
| + const double results_ratio = 1.0*result->second / results_sum;
|
| + const double odds_ratio = odd.weight / odds_sum;
|
| + const double abs_diff = std::abs(results_ratio - odds_ratio);
|
| + EXPECT_LT(abs_diff, kEpsilon);
|
| + }
|
| +}
|
| +
|
| +TEST(RandomSelector, SimpleAccessors) {
|
| + using WeightAndValue = RandomSelector::WeightAndValue;
|
| + std::vector<WeightAndValue> odds;
|
| + odds.push_back(WeightAndValue(1, "a 1"));
|
| + odds.push_back(WeightAndValue(3, "b --help"));
|
| + odds.push_back(WeightAndValue(107, "c bar"));
|
| + EXPECT_EQ(111.0L, RandomSelector::SumWeights(odds));
|
| + RandomSelector random_selector;
|
| + random_selector.SetOdds(odds);
|
| + EXPECT_EQ(3UL, random_selector.num_values());
|
| +}
|
| +
|
| +// Ensure RandomSelector is able to generate results from given odds.
|
| +TEST(RandomSelector, GenerateTest) {
|
| + using WeightAndValue = RandomSelector::WeightAndValue;
|
| + const int kLargeNumber = 2000;
|
| + std::vector<RandomSelector::WeightAndValue> odds;
|
| + odds.push_back(WeightAndValue(1, "a 1"));
|
| + odds.push_back(WeightAndValue(2, "b --help"));
|
| + odds.push_back(WeightAndValue(3, "c bar"));
|
| + RandomSelectorWithCustomRNG random_selector(kLargeNumber);
|
| + random_selector.SetOdds(odds);
|
| + // Generate a lot of values.
|
| + std::map<std::string, int> results;
|
| + GenerateResults(kLargeNumber, &random_selector, &results);
|
| + // Ensure the values and odds are related.
|
| + CheckResultsAgainstOdds(odds, results);
|
| +}
|
|
|