c447e5cf15
See script directory for method. The script to run in the top level MaxScale directory is called maxscale-uncrustify.sh, which uses another script, list-src, from the same directory (so you need to set your PATH). The uncrustify version was 0.66.
121 lines
2.3 KiB
C++
121 lines
2.3 KiB
C++
/*
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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 operator+(const CumulativeAverage& lhs, const CumulativeAverage& rhs)
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{
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return CumulativeAverage(lhs) += 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}
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, m_max_alpha{max_alpha}
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, 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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// Give more weight to initial samples.
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int sample_max = std::min(m_num_samples ? m_num_samples : 1, m_sample_max);
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double alpha = m_min_alpha + m_max_alpha
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* std::min(double(num_samples) / 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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