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/*
* Copyright 2016 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include "rtc_base/numerics/percentile_filter.h"
#include <stdlib.h>
#include <array>
#include <climits>
#include <cstdint>
#include <random>
#include "absl/algorithm/container.h"
#include "test/gtest.h"
namespace webrtc {
class PercentileFilterTest : public ::testing::TestWithParam<float> {
public:
PercentileFilterTest() : filter_(GetParam()) {
// Make sure the tests are deterministic by seeding with a constant.
srand(42);
}
PercentileFilterTest(const PercentileFilterTest&) = delete;
PercentileFilterTest& operator=(const PercentileFilterTest&) = delete;
protected:
PercentileFilter<int64_t> filter_;
};
INSTANTIATE_TEST_SUITE_P(PercentileFilterTests,
PercentileFilterTest,
::testing::Values(0.0f, 0.1f, 0.5f, 0.9f, 1.0f));
TEST(PercentileFilterTest, MinFilter) {
PercentileFilter<int64_t> filter(0.0f);
filter.Insert(4);
EXPECT_EQ(4, filter.GetPercentileValue());
filter.Insert(3);
EXPECT_EQ(3, filter.GetPercentileValue());
}
TEST(PercentileFilterTest, MaxFilter) {
PercentileFilter<int64_t> filter(1.0f);
filter.Insert(3);
EXPECT_EQ(3, filter.GetPercentileValue());
filter.Insert(4);
EXPECT_EQ(4, filter.GetPercentileValue());
}
TEST(PercentileFilterTest, MedianFilterDouble) {
PercentileFilter<double> filter(0.5f);
filter.Insert(2.71828);
filter.Insert(3.14159);
filter.Insert(1.41421);
EXPECT_EQ(2.71828, filter.GetPercentileValue());
}
TEST(PercentileFilterTest, MedianFilterInt) {
PercentileFilter<int> filter(0.5f);
filter.Insert(INT_MIN);
filter.Insert(1);
filter.Insert(2);
EXPECT_EQ(1, filter.GetPercentileValue());
filter.Insert(INT_MAX);
filter.Erase(INT_MIN);
EXPECT_EQ(2, filter.GetPercentileValue());
}
TEST(PercentileFilterTest, MedianFilterUnsigned) {
PercentileFilter<unsigned> filter(0.5f);
filter.Insert(UINT_MAX);
filter.Insert(2u);
filter.Insert(1u);
EXPECT_EQ(2u, filter.GetPercentileValue());
filter.Insert(0u);
filter.Erase(UINT_MAX);
EXPECT_EQ(1u, filter.GetPercentileValue());
}
TEST_P(PercentileFilterTest, EmptyFilter) {
EXPECT_EQ(0, filter_.GetPercentileValue());
filter_.Insert(3);
bool success = filter_.Erase(3);
EXPECT_TRUE(success);
EXPECT_EQ(0, filter_.GetPercentileValue());
}
TEST_P(PercentileFilterTest, EraseNonExistingElement) {
bool success = filter_.Erase(3);
EXPECT_FALSE(success);
EXPECT_EQ(0, filter_.GetPercentileValue());
filter_.Insert(4);
success = filter_.Erase(3);
EXPECT_FALSE(success);
EXPECT_EQ(4, filter_.GetPercentileValue());
}
TEST_P(PercentileFilterTest, DuplicateElements) {
filter_.Insert(3);
filter_.Insert(3);
filter_.Erase(3);
EXPECT_EQ(3, filter_.GetPercentileValue());
}
TEST_P(PercentileFilterTest, InsertAndEraseTenValuesInRandomOrder) {
std::array<int64_t, 10> zero_to_nine = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
// The percentile value of the ten values above.
const int64_t expected_value = static_cast<int64_t>(GetParam() * 9);
// Insert two sets of `zero_to_nine` in random order.
for (int i = 0; i < 2; ++i) {
absl::c_shuffle(zero_to_nine, std::mt19937(std::random_device()()));
for (int64_t value : zero_to_nine)
filter_.Insert(value);
// After inserting a full set of `zero_to_nine`, the percentile should
// stay constant.
EXPECT_EQ(expected_value, filter_.GetPercentileValue());
}
// Insert and erase sets of `zero_to_nine` in random order a few times.
for (int i = 0; i < 3; ++i) {
absl::c_shuffle(zero_to_nine, std::mt19937(std::random_device()()));
for (int64_t value : zero_to_nine)
filter_.Erase(value);
EXPECT_EQ(expected_value, filter_.GetPercentileValue());
absl::c_shuffle(zero_to_nine, std::mt19937(std::random_device()()));
for (int64_t value : zero_to_nine)
filter_.Insert(value);
EXPECT_EQ(expected_value, filter_.GetPercentileValue());
}
}
} // namespace webrtc
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