mxs-1777: maxutils additions
Adding classes for calculating averages. Update StopWatch to C++11.
This commit is contained in:
62
maxutils/maxbase/include/maxbase/average.hh
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62
maxutils/maxbase/include/maxbase/average.hh
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@ -0,0 +1,62 @@
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/*
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* Copyright (c) 2018 MariaDB Corporation Ab
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*
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* Use of this software is governed by the Business Source License included
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* in the LICENSE.TXT file and at www.mariadb.com/bsl11.
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*
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* Change Date: 2022-01-01
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*
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* On the date above, in accordance with the Business Source License, use
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* of this software will be governed by version 2 or later of the General
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* Public License.
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*/
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#pragma once
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#include <maxbase/ccdefs.hh>
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#include <vector>
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namespace maxbase
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{
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/** Regular average, but calculated cumulatively. */
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class CumulativeAverage
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{
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public:
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// add an average made of num_samples
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void add(double ave, int num_samples = 1);
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double average() const;
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int num_samples() const;
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void reset();
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CumulativeAverage& operator+=(const CumulativeAverage& rhs);
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CumulativeAverage operator+(const CumulativeAverage& rhs) const;
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private:
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double m_ave = 0;
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int m_num_samples = 0;
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int m_num_last_added = 0;
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};
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/** Exponential Moving Average. */
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class EMAverage
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{
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public:
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EMAverage(double min_alpha, double max_alpha, int sample_max);
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/* add an average made of num_samples
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* alpha = m_min_alpha + m_max_alpha * std::min(double(num_samples) / sample_max, 1.0);
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* ave = alpha * ave + (1 - alpha) * sample; */
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void add(double ave, int num_samples = 1);
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void add(const CumulativeAverage& ca);
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double average() const;
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int num_samples() const;
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void set_sample_max(int sample_max);
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int sample_max() const;
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void reset();
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private:
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const double m_min_alpha;
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const double m_max_alpha;
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int m_sample_max;
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int m_num_samples = 0;
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double m_ave = 0;
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};
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} // maxbase
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@ -20,18 +20,22 @@
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namespace maxbase
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{
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#if __cplusplus >= 201103
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typedef std::chrono::steady_clock Clock;
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#else
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typedef std::chrono::system_clock Clock;
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#endif
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using Clock = std::chrono::steady_clock;
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struct Duration : public Clock::duration // for ADL
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{
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// gcc 4.4 does not inherit constructors, so this is a bit limited.
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using Clock::duration::duration;
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Duration() = default;
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Duration(long long l) : Clock::duration(l) {}
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Duration(Clock::duration d) : Clock::duration(d) {}
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Duration(long long l) : Clock::duration(l) {} // FIXME. Get rid of this.
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explicit Duration(double secs) : Duration{rep(secs * period::den / period::num)}
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{}
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double secs()
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{
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return std::chrono::duration<double>(*this).count();
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}
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};
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typedef std::chrono::time_point<Clock, Duration> TimePoint;
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@ -11,6 +11,7 @@ add_library(maxbase STATIC
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stacktrace.cc
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worker.cc
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workertask.cc
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average.cc
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)
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set_target_properties(maxbase PROPERTIES VERSION "1.0.0" LINK_FLAGS -Wl,-z,defs)
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117
maxutils/maxbase/src/average.cc
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117
maxutils/maxbase/src/average.cc
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@ -0,0 +1,117 @@
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/*
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* Copyright (c) 2018 MariaDB Corporation Ab
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*
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* Use of this software is governed by the Business Source License included
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* in the LICENSE.TXT file and at www.mariadb.com/bsl11.
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*
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* Change Date: 2022-01-01
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*
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* On the date above, in accordance with the Business Source License, use
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* of this software will be governed by version 2 or later of the General
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* Public License.
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*/
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#include <maxbase/average.hh>
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#include <iostream>
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namespace maxbase
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{
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void CumulativeAverage::add(double ave, int num_samples)
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{
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m_num_samples += num_samples;
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if (m_num_samples == num_samples)
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{
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m_ave = ave;
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}
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else
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{
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m_ave = (m_ave * (m_num_samples - m_num_last_added)
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+ ave * num_samples) / m_num_samples;
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}
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m_num_last_added = num_samples;
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}
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double CumulativeAverage::average() const
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{
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return m_ave;
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}
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int CumulativeAverage::num_samples() const
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{
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return m_num_samples;
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}
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CumulativeAverage &CumulativeAverage::operator+=(const CumulativeAverage &rhs)
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{
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this->add(rhs.m_ave, rhs.m_num_samples);
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return *this;
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}
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CumulativeAverage CumulativeAverage::operator+(const CumulativeAverage &rhs) const
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{
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return CumulativeAverage(*this) += rhs;
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}
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void CumulativeAverage::reset()
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{
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m_ave = 0;
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m_num_samples = 0;
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m_num_last_added = 0;
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}
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EMAverage::EMAverage(double min_alpha, double max_alpha, int sample_max) :
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m_min_alpha{min_alpha}, m_max_alpha{max_alpha}, m_sample_max{sample_max}
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{
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}
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void EMAverage::add(double ave, int num_samples)
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{
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double alpha = m_min_alpha + m_max_alpha *
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std::min(double(num_samples) / m_sample_max, 1.0);
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m_num_samples += num_samples;
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if (m_num_samples == num_samples)
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{
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m_ave = ave;
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}
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else
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{
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m_ave = alpha * ave + (1 - alpha) * m_ave;
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}
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}
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void EMAverage::add(const CumulativeAverage &ca)
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{
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add(ca.average(), ca.num_samples());
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}
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double EMAverage::average() const
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{
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return m_ave;
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}
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int EMAverage::num_samples() const
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{
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return m_num_samples;
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}
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void EMAverage::set_sample_max(int sample_max)
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{
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m_sample_max = sample_max;
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}
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int EMAverage::sample_max() const
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{
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return m_sample_max;
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}
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void EMAverage::reset()
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{
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m_ave = 0;
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m_num_samples = 0;
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}
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} // maxbase
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