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92ea95e34a
In https://webrtc-review.googlesource.com/c/src/+/1560 we moved WebRTC from src/webrtc to src/ (in order to preserve an healthy git history). This CL takes care of fixing header guards, #include paths, etc... NOPRESUBMIT=true NOTREECHECKS=true NOTRY=true TBR=tommi@webrtc.org Bug: chromium:611808 Change-Id: Iea91618212bee0af16aa3f05071eab8f93706578 Reviewed-on: https://webrtc-review.googlesource.com/1561 Reviewed-by: Mirko Bonadei <mbonadei@webrtc.org> Reviewed-by: Henrik Kjellander <kjellander@webrtc.org> Commit-Queue: Mirko Bonadei <mbonadei@webrtc.org> Cr-Commit-Position: refs/heads/master@{#19846}
72 lines
2.3 KiB
C++
72 lines
2.3 KiB
C++
/*
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* Copyright (c) 2016 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "modules/congestion_controller/median_slope_estimator.h"
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#include "rtc_base/random.h"
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#include "test/gtest.h"
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namespace webrtc {
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namespace {
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constexpr size_t kWindowSize = 20;
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constexpr double kGain = 1;
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constexpr int64_t kAvgTimeBetweenPackets = 10;
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constexpr size_t kPacketCount = 2 * kWindowSize + 1;
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void TestEstimator(double slope, double jitter_stddev, double tolerance) {
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MedianSlopeEstimator estimator(kWindowSize, kGain);
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Random random(0x1234567);
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int64_t send_times[kPacketCount];
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int64_t recv_times[kPacketCount];
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int64_t send_start_time = random.Rand(1000000);
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int64_t recv_start_time = random.Rand(1000000);
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for (size_t i = 0; i < kPacketCount; ++i) {
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send_times[i] = send_start_time + i * kAvgTimeBetweenPackets;
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double latency = i * kAvgTimeBetweenPackets / (1 - slope);
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double jitter = random.Gaussian(0, jitter_stddev);
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recv_times[i] = recv_start_time + latency + jitter;
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}
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for (size_t i = 1; i < kPacketCount; ++i) {
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double recv_delta = recv_times[i] - recv_times[i - 1];
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double send_delta = send_times[i] - send_times[i - 1];
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estimator.Update(recv_delta, send_delta, recv_times[i]);
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if (i < kWindowSize)
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EXPECT_NEAR(estimator.trendline_slope(), 0, 0.001);
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else
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EXPECT_NEAR(estimator.trendline_slope(), slope, tolerance);
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}
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}
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} // namespace
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TEST(MedianSlopeEstimator, PerfectLineSlopeOneHalf) {
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TestEstimator(0.5, 0, 0.001);
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}
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TEST(MedianSlopeEstimator, PerfectLineSlopeMinusOne) {
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TestEstimator(-1, 0, 0.001);
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}
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TEST(MedianSlopeEstimator, PerfectLineSlopeZero) {
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TestEstimator(0, 0, 0.001);
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}
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TEST(MedianSlopeEstimator, JitteryLineSlopeOneHalf) {
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TestEstimator(0.5, kAvgTimeBetweenPackets / 3.0, 0.01);
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}
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TEST(MedianSlopeEstimator, JitteryLineSlopeMinusOne) {
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TestEstimator(-1, kAvgTimeBetweenPackets / 3.0, 0.05);
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}
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TEST(MedianSlopeEstimator, JitteryLineSlopeZero) {
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TestEstimator(0, kAvgTimeBetweenPackets / 3.0, 0.02);
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}
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} // namespace webrtc
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