webrtc/modules/congestion_controller/trendline_estimator_unittest.cc
Danil Chapovalov bda5068fae Revert "Moved congestion controller to goog_cc folder."
This reverts commit e6cefdf9c5.

Reason for revert: conflicts with reverting https://webrtc-review.googlesource.com/c/src/+/52980

Original change's description:
> Moved congestion controller to goog_cc folder.
> 
> Bug: webrtc:8415
> Change-Id: I2070da0cacf1dbfc4b6a89285af3e68fd03497ab
> Reviewed-on: https://webrtc-review.googlesource.com/43841
> Commit-Queue: Sebastian Jansson <srte@webrtc.org>
> Reviewed-by: Björn Terelius <terelius@webrtc.org>
> Reviewed-by: Stefan Holmer <stefan@webrtc.org>
> Cr-Commit-Position: refs/heads/master@{#21928}

TBR=terelius@webrtc.org,stefan@webrtc.org,srte@webrtc.org

# Not skipping CQ checks because original CL landed > 1 day ago.

Bug: webrtc:8415
Change-Id: If8965e1e745e57694192b9ca2a69503c722658d9
Reviewed-on: https://webrtc-review.googlesource.com/53020
Reviewed-by: Danil Chapovalov <danilchap@webrtc.org>
Commit-Queue: Danil Chapovalov <danilchap@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#22012}
2018-02-14 10:09:44 +00:00

73 lines
2.4 KiB
C++

/*
* Copyright (c) 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 "modules/congestion_controller/trendline_estimator.h"
#include "rtc_base/random.h"
#include "test/gtest.h"
namespace webrtc {
namespace {
constexpr size_t kWindowSize = 20;
constexpr double kSmoothing = 0.0;
constexpr double kGain = 1;
constexpr int64_t kAvgTimeBetweenPackets = 10;
constexpr size_t kPacketCount = 2 * kWindowSize + 1;
void TestEstimator(double slope, double jitter_stddev, double tolerance) {
TrendlineEstimator estimator(kWindowSize, kSmoothing, kGain);
Random random(0x1234567);
int64_t send_times[kPacketCount];
int64_t recv_times[kPacketCount];
int64_t send_start_time = random.Rand(1000000);
int64_t recv_start_time = random.Rand(1000000);
for (size_t i = 0; i < kPacketCount; ++i) {
send_times[i] = send_start_time + i * kAvgTimeBetweenPackets;
double latency = i * kAvgTimeBetweenPackets / (1 - slope);
double jitter = random.Gaussian(0, jitter_stddev);
recv_times[i] = recv_start_time + latency + jitter;
}
for (size_t i = 1; i < kPacketCount; ++i) {
double recv_delta = recv_times[i] - recv_times[i - 1];
double send_delta = send_times[i] - send_times[i - 1];
estimator.Update(recv_delta, send_delta, recv_times[i]);
if (i < kWindowSize)
EXPECT_NEAR(estimator.trendline_slope(), 0, 0.001);
else
EXPECT_NEAR(estimator.trendline_slope(), slope, tolerance);
}
}
} // namespace
TEST(TrendlineEstimator, PerfectLineSlopeOneHalf) {
TestEstimator(0.5, 0, 0.001);
}
TEST(TrendlineEstimator, PerfectLineSlopeMinusOne) {
TestEstimator(-1, 0, 0.001);
}
TEST(TrendlineEstimator, PerfectLineSlopeZero) {
TestEstimator(0, 0, 0.001);
}
TEST(TrendlineEstimator, JitteryLineSlopeOneHalf) {
TestEstimator(0.5, kAvgTimeBetweenPackets / 3.0, 0.01);
}
TEST(TrendlineEstimator, JitteryLineSlopeMinusOne) {
TestEstimator(-1, kAvgTimeBetweenPackets / 3.0, 0.075);
}
TEST(TrendlineEstimator, JitteryLineSlopeZero) {
TestEstimator(0, kAvgTimeBetweenPackets / 3.0, 0.02);
}
} // namespace webrtc