Reland "Move webrtc/{base => rtc_base}" (https://codereview.webrtc.org/2877023002)
Reland the base->rtc_base without adding stub headers (will be done in follow-up CL). This preserves git blame history of all files. BUG=webrtc:7634 NOTRY=True TBR=kwiberg@webrtc.org Change-Id: Iea3bb6f3f67b8374c96337b63e8f5aa3e6181012 Reviewed-on: https://chromium-review.googlesource.com/554611 Reviewed-by: Henrik Kjellander <kjellander@webrtc.org> Cr-Commit-Position: refs/heads/master@{#18821}
This commit is contained in:
43
webrtc/rtc_base/numerics/exp_filter.cc
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43
webrtc/rtc_base/numerics/exp_filter.cc
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/*
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* Copyright (c) 2011 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 "webrtc/base/numerics/exp_filter.h"
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#include <math.h>
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namespace rtc {
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const float ExpFilter::kValueUndefined = -1.0f;
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void ExpFilter::Reset(float alpha) {
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alpha_ = alpha;
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filtered_ = kValueUndefined;
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}
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float ExpFilter::Apply(float exp, float sample) {
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if (filtered_ == kValueUndefined) {
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// Initialize filtered value.
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filtered_ = sample;
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} else if (exp == 1.0) {
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filtered_ = alpha_ * filtered_ + (1 - alpha_) * sample;
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} else {
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float alpha = pow(alpha_, exp);
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filtered_ = alpha * filtered_ + (1 - alpha) * sample;
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}
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if (max_ != kValueUndefined && filtered_ > max_) {
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filtered_ = max_;
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}
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return filtered_;
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}
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void ExpFilter::UpdateBase(float alpha) {
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alpha_ = alpha;
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}
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} // namespace rtc
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48
webrtc/rtc_base/numerics/exp_filter.h
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48
webrtc/rtc_base/numerics/exp_filter.h
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/*
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* Copyright (c) 2011 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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#ifndef WEBRTC_RTC_BASE_NUMERICS_EXP_FILTER_H_
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#define WEBRTC_RTC_BASE_NUMERICS_EXP_FILTER_H_
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namespace rtc {
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// This class can be used, for example, for smoothing the result of bandwidth
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// estimation and packet loss estimation.
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class ExpFilter {
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public:
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static const float kValueUndefined;
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explicit ExpFilter(float alpha, float max = kValueUndefined) : max_(max) {
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Reset(alpha);
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}
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// Resets the filter to its initial state, and resets filter factor base to
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// the given value |alpha|.
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void Reset(float alpha);
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// Applies the filter with a given exponent on the provided sample:
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// y(k) = min(alpha_^ exp * y(k-1) + (1 - alpha_^ exp) * sample, max_).
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float Apply(float exp, float sample);
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// Returns current filtered value.
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float filtered() const { return filtered_; }
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// Changes the filter factor base to the given value |alpha|.
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void UpdateBase(float alpha);
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private:
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float alpha_; // Filter factor base.
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float filtered_; // Current filter output.
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const float max_;
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};
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} // namespace rtc
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#endif // WEBRTC_RTC_BASE_NUMERICS_EXP_FILTER_H_
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71
webrtc/rtc_base/numerics/exp_filter_unittest.cc
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webrtc/rtc_base/numerics/exp_filter_unittest.cc
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/*
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* Copyright 2014 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 <math.h>
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#include "webrtc/base/numerics/exp_filter.h"
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#include "webrtc/test/gtest.h"
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namespace rtc {
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TEST(ExpFilterTest, FirstTimeOutputEqualInput) {
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// No max value defined.
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ExpFilter filter = ExpFilter(0.9f);
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filter.Apply(100.0f, 10.0f);
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// First time, first argument no effect.
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double value = 10.0f;
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EXPECT_FLOAT_EQ(value, filter.filtered());
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}
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TEST(ExpFilterTest, SecondTime) {
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double value;
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ExpFilter filter = ExpFilter(0.9f);
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filter.Apply(100.0f, 10.0f);
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// First time, first argument no effect.
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value = 10.0f;
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filter.Apply(10.0f, 20.0f);
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double alpha = pow(0.9f, 10.0f);
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value = alpha * value + (1.0f - alpha) * 20.0f;
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EXPECT_FLOAT_EQ(value, filter.filtered());
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}
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TEST(ExpFilterTest, Reset) {
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ExpFilter filter = ExpFilter(0.9f);
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filter.Apply(100.0f, 10.0f);
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filter.Reset(0.8f);
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filter.Apply(100.0f, 1.0f);
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// Become first time after a reset.
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double value = 1.0f;
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EXPECT_FLOAT_EQ(value, filter.filtered());
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}
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TEST(ExpfilterTest, OutputLimitedByMax) {
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double value;
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// Max value defined.
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ExpFilter filter = ExpFilter(0.9f, 1.0f);
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filter.Apply(100.0f, 10.0f);
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// Limited to max value.
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value = 1.0f;
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EXPECT_EQ(value, filter.filtered());
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filter.Apply(1.0f, 0.0f);
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value = 0.9f * value;
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EXPECT_FLOAT_EQ(value, filter.filtered());
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}
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} // namespace rtc
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115
webrtc/rtc_base/numerics/percentile_filter.h
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115
webrtc/rtc_base/numerics/percentile_filter.h
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/*
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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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#ifndef WEBRTC_RTC_BASE_NUMERICS_PERCENTILE_FILTER_H_
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#define WEBRTC_RTC_BASE_NUMERICS_PERCENTILE_FILTER_H_
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#include <stdint.h>
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#include <iterator>
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#include <set>
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#include "webrtc/base/checks.h"
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namespace webrtc {
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// Class to efficiently get the percentile value from a group of observations.
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// The percentile is the value below which a given percentage of the
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// observations fall.
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template <typename T>
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class PercentileFilter {
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public:
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// Construct filter. |percentile| should be between 0 and 1.
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explicit PercentileFilter(float percentile);
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// Insert one observation. The complexity of this operation is logarithmic in
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// the size of the container.
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void Insert(const T& value);
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// Remove one observation or return false if |value| doesn't exist in the
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// container. The complexity of this operation is logarithmic in the size of
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// the container.
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bool Erase(const T& value);
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// Get the percentile value. The complexity of this operation is constant.
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T GetPercentileValue() const;
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private:
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// Update iterator and index to point at target percentile value.
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void UpdatePercentileIterator();
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const float percentile_;
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std::multiset<T> set_;
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// Maintain iterator and index of current target percentile value.
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typename std::multiset<T>::iterator percentile_it_;
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int64_t percentile_index_;
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};
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template <typename T>
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PercentileFilter<T>::PercentileFilter(float percentile)
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: percentile_(percentile),
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percentile_it_(set_.begin()),
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percentile_index_(0) {
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RTC_CHECK_GE(percentile, 0.0f);
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RTC_CHECK_LE(percentile, 1.0f);
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}
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template <typename T>
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void PercentileFilter<T>::Insert(const T& value) {
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// Insert element at the upper bound.
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set_.insert(value);
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if (set_.size() == 1u) {
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// First element inserted - initialize percentile iterator and index.
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percentile_it_ = set_.begin();
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percentile_index_ = 0;
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} else if (value < *percentile_it_) {
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// If new element is before us, increment |percentile_index_|.
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++percentile_index_;
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}
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UpdatePercentileIterator();
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}
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template <typename T>
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bool PercentileFilter<T>::Erase(const T& value) {
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typename std::multiset<T>::const_iterator it = set_.lower_bound(value);
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// Ignore erase operation if the element is not present in the current set.
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if (it == set_.end() || *it != value)
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return false;
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if (it == percentile_it_) {
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// If same iterator, update to the following element. Index is not
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// affected.
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percentile_it_ = set_.erase(it);
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} else {
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set_.erase(it);
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// If erased element was before us, decrement |percentile_index_|.
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if (value <= *percentile_it_)
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--percentile_index_;
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}
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UpdatePercentileIterator();
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return true;
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}
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template <typename T>
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void PercentileFilter<T>::UpdatePercentileIterator() {
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if (set_.empty())
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return;
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const int64_t index = static_cast<int64_t>(percentile_ * (set_.size() - 1));
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std::advance(percentile_it_, index - percentile_index_);
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percentile_index_ = index;
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}
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template <typename T>
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T PercentileFilter<T>::GetPercentileValue() const {
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return set_.empty() ? 0 : *percentile_it_;
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}
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} // namespace webrtc
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#endif // WEBRTC_RTC_BASE_NUMERICS_PERCENTILE_FILTER_H_
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138
webrtc/rtc_base/numerics/percentile_filter_unittest.cc
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138
webrtc/rtc_base/numerics/percentile_filter_unittest.cc
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@ -0,0 +1,138 @@
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/*
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* Copyright 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 <algorithm>
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#include <climits>
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#include "webrtc/base/constructormagic.h"
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#include "webrtc/base/numerics/percentile_filter.h"
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#include "webrtc/test/gtest.h"
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namespace webrtc {
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class PercentileFilterTest : public ::testing::TestWithParam<float> {
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public:
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PercentileFilterTest() : filter_(GetParam()) {
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// Make sure the tests are deterministic by seeding with a constant.
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srand(42);
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}
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protected:
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PercentileFilter<int64_t> filter_;
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private:
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RTC_DISALLOW_COPY_AND_ASSIGN(PercentileFilterTest);
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};
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INSTANTIATE_TEST_CASE_P(PercentileFilterTests,
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PercentileFilterTest,
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::testing::Values(0.0f, 0.1f, 0.5f, 0.9f, 1.0f));
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TEST(PercentileFilterTest, MinFilter) {
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PercentileFilter<int64_t> filter(0.0f);
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filter.Insert(4);
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EXPECT_EQ(4, filter.GetPercentileValue());
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filter.Insert(3);
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EXPECT_EQ(3, filter.GetPercentileValue());
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}
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TEST(PercentileFilterTest, MaxFilter) {
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PercentileFilter<int64_t> filter(1.0f);
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filter.Insert(3);
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EXPECT_EQ(3, filter.GetPercentileValue());
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filter.Insert(4);
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EXPECT_EQ(4, filter.GetPercentileValue());
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}
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TEST(PercentileFilterTest, MedianFilterDouble) {
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PercentileFilter<double> filter(0.5f);
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filter.Insert(2.71828);
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filter.Insert(3.14159);
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filter.Insert(1.41421);
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EXPECT_EQ(2.71828, filter.GetPercentileValue());
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}
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TEST(PercentileFilterTest, MedianFilterInt) {
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PercentileFilter<int> filter(0.5f);
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filter.Insert(INT_MIN);
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filter.Insert(1);
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filter.Insert(2);
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EXPECT_EQ(1, filter.GetPercentileValue());
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filter.Insert(INT_MAX);
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filter.Erase(INT_MIN);
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EXPECT_EQ(2, filter.GetPercentileValue());
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}
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TEST(PercentileFilterTest, MedianFilterUnsigned) {
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PercentileFilter<unsigned> filter(0.5f);
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filter.Insert(UINT_MAX);
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filter.Insert(2u);
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filter.Insert(1u);
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EXPECT_EQ(2u, filter.GetPercentileValue());
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filter.Insert(0u);
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filter.Erase(UINT_MAX);
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EXPECT_EQ(1u, filter.GetPercentileValue());
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}
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TEST_P(PercentileFilterTest, EmptyFilter) {
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EXPECT_EQ(0, filter_.GetPercentileValue());
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filter_.Insert(3);
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bool success = filter_.Erase(3);
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EXPECT_TRUE(success);
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EXPECT_EQ(0, filter_.GetPercentileValue());
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}
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TEST_P(PercentileFilterTest, EraseNonExistingElement) {
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bool success = filter_.Erase(3);
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EXPECT_FALSE(success);
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EXPECT_EQ(0, filter_.GetPercentileValue());
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filter_.Insert(4);
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success = filter_.Erase(3);
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EXPECT_FALSE(success);
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EXPECT_EQ(4, filter_.GetPercentileValue());
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}
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TEST_P(PercentileFilterTest, DuplicateElements) {
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filter_.Insert(3);
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filter_.Insert(3);
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filter_.Erase(3);
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EXPECT_EQ(3, filter_.GetPercentileValue());
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}
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TEST_P(PercentileFilterTest, InsertAndEraseTenValuesInRandomOrder) {
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int64_t zero_to_nine[10] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
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// The percentile value of the ten values above.
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const int64_t expected_value = static_cast<int64_t>(GetParam() * 9);
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// Insert two sets of |zero_to_nine| in random order.
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for (int i = 0; i < 2; ++i) {
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std::random_shuffle(zero_to_nine, zero_to_nine + 10);
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for (int64_t value : zero_to_nine)
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filter_.Insert(value);
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// After inserting a full set of |zero_to_nine|, the percentile should
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// stay constant.
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EXPECT_EQ(expected_value, filter_.GetPercentileValue());
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}
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// Insert and erase sets of |zero_to_nine| in random order a few times.
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for (int i = 0; i < 3; ++i) {
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std::random_shuffle(zero_to_nine, zero_to_nine + 10);
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for (int64_t value : zero_to_nine)
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filter_.Erase(value);
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EXPECT_EQ(expected_value, filter_.GetPercentileValue());
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std::random_shuffle(zero_to_nine, zero_to_nine + 10);
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for (int64_t value : zero_to_nine)
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filter_.Insert(value);
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EXPECT_EQ(expected_value, filter_.GetPercentileValue());
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}
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}
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} // namespace webrtc
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