71 lines
2.6 KiB
C++
71 lines
2.6 KiB
C++
#include <frame_statistics.hpp>
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#include <gtest/gtest.h>
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#include <cmath>
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#include <limits>
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namespace aethera::web {
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TEST(Sliding_Statistics, Publishes_Derived_Window_Statistics_On_Submit) {
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Sliding_Statistics statistics{20};
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for (int value = 1; value <= 20; ++value)
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static_cast<void>(statistics.submit(static_cast<double>(value)));
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const auto& state = statistics.state();
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EXPECT_EQ(state.count, 20U);
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EXPECT_DOUBLE_EQ(state.latest, 20.0);
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EXPECT_DOUBLE_EQ(state.minimum, 1.0);
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EXPECT_DOUBLE_EQ(state.maximum, 20.0);
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EXPECT_DOUBLE_EQ(state.average, 10.5);
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EXPECT_DOUBLE_EQ(state.trimmed_average, 10.5);
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EXPECT_NEAR(state.p50, 10.0, 2.0);
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EXPECT_GE(state.p95, 15.0);
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EXPECT_LE(state.p95, 20.0);
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EXPECT_GE(state.p99, state.p95);
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EXPECT_LE(state.p99, 20.0);
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}
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TEST(Sliding_Statistics, Overwrites_Oldest_And_Ignores_Nonfinite_Values) {
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Sliding_Statistics statistics{3};
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static_cast<void>(statistics.submit(1.0));
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static_cast<void>(statistics.submit(2.0));
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static_cast<void>(statistics.submit(std::numeric_limits<double>::infinity()));
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static_cast<void>(statistics.submit(3.0));
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static_cast<void>(statistics.submit(4.0));
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const auto& state = statistics.state();
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EXPECT_EQ(state.count, 3U);
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EXPECT_DOUBLE_EQ(state.latest, 4.0);
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EXPECT_DOUBLE_EQ(state.minimum, 2.0);
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EXPECT_DOUBLE_EQ(state.maximum, 4.0);
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EXPECT_DOUBLE_EQ(state.average, 3.0);
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}
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TEST(Sliding_Statistics, Estimates_Quantiles_Without_Growing_The_Window) {
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Sliding_Statistics statistics{64};
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for (int value = 1; value <= 1000; ++value)
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static_cast<void>(statistics.submit(static_cast<double>(value)));
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const auto& state = statistics.state();
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EXPECT_EQ(state.count, 64U);
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EXPECT_NEAR(state.average, 968.5, 0.001);
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EXPECT_DOUBLE_EQ(state.minimum, 937.0);
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EXPECT_DOUBLE_EQ(state.maximum, 1000.0);
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EXPECT_NEAR(state.p50, 500.0, 10.0);
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EXPECT_NEAR(state.p95, 950.0, 15.0);
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EXPECT_NEAR(state.p99, 990.0, 15.0);
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}
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TEST(Sliding_Statistics, Keeps_Approximate_Quantiles_Ordered_For_Nonstationary_Input) {
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Sliding_Statistics statistics{16};
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for (std::size_t phase = 0; phase < 200; ++phase) {
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const double baseline = phase % 2 == 0 ? 1'000'000.0 : -1'000'000.0;
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for (std::size_t sample = 0; sample < 17; ++sample) {
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const auto state = statistics.submit(
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baseline + static_cast<double>(sample * sample));
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EXPECT_TRUE(std::isfinite(state.trimmed_average));
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EXPECT_LE(state.p50, state.p95);
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EXPECT_LE(state.p95, state.p99);
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}
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}
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}
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}
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