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a0d179e528
5ef0607da
Update copyright year to 2020 (SomaticFanatic)
250 lines
9 KiB
C++
250 lines
9 KiB
C++
// Copyright (c) 2014-2020, The Monero Project
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//
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// All rights reserved.
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//
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// Redistribution and use in source and binary forms, with or without modification, are
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// permitted provided that the following conditions are met:
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//
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// 1. Redistributions of source code must retain the above copyright notice, this list of
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// conditions and the following disclaimer.
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//
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// 2. Redistributions in binary form must reproduce the above copyright notice, this list
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// of conditions and the following disclaimer in the documentation and/or other
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// materials provided with the distribution.
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//
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// 3. Neither the name of the copyright holder nor the names of its contributors may be
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// used to endorse or promote products derived from this software without specific
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// prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
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// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
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// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL
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// THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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// STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF
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// THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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// Parts of this file are originally copyright (c) 2012-2013 The Cryptonote developers
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#pragma once
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#include <iostream>
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#include <stdint.h>
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#include <boost/chrono.hpp>
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#include <boost/regex.hpp>
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#include "misc_language.h"
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#include "stats.h"
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#include "common/perf_timer.h"
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#include "common/timings.h"
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class performance_timer
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{
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public:
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typedef boost::chrono::high_resolution_clock clock;
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performance_timer()
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{
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m_base = clock::now();
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}
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void start()
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{
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m_start = clock::now();
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}
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int elapsed_ms()
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{
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clock::duration elapsed = clock::now() - m_start;
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return static_cast<int>(boost::chrono::duration_cast<boost::chrono::milliseconds>(elapsed).count());
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}
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private:
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clock::time_point m_base;
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clock::time_point m_start;
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};
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struct Params
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{
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TimingsDatabase td;
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bool verbose;
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bool stats;
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unsigned loop_multiplier;
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};
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template <typename T>
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class test_runner
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{
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public:
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test_runner(const Params ¶ms)
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: m_elapsed(0)
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, m_params(params)
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, m_per_call_timers(T::loop_count * params.loop_multiplier, {true})
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{
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}
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bool run()
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{
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static_assert(0 < T::loop_count, "T::loop_count must be greater than 0");
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T test;
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if (!test.init())
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return false;
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performance_timer timer;
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timer.start();
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warm_up();
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if (m_params.verbose)
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std::cout << "Warm up: " << timer.elapsed_ms() << " ms" << std::endl;
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timer.start();
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for (size_t i = 0; i < T::loop_count * m_params.loop_multiplier; ++i)
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{
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if (m_params.stats)
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m_per_call_timers[i].resume();
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if (!test.test())
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return false;
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if (m_params.stats)
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m_per_call_timers[i].pause();
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}
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m_elapsed = timer.elapsed_ms();
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m_stats.reset(new Stats<tools::PerformanceTimer, uint64_t>(m_per_call_timers));
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return true;
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}
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int elapsed_time() const { return m_elapsed; }
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size_t get_size() const { return m_stats->get_size(); }
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int time_per_call(int scale = 1) const
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{
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static_assert(0 < T::loop_count, "T::loop_count must be greater than 0");
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return m_elapsed * scale / (T::loop_count * m_params.loop_multiplier);
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}
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uint64_t get_min() const { return m_stats->get_min(); }
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uint64_t get_max() const { return m_stats->get_max(); }
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double get_mean() const { return m_stats->get_mean(); }
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uint64_t get_median() const { return m_stats->get_median(); }
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double get_stddev() const { return m_stats->get_standard_deviation(); }
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double get_non_parametric_skew() const { return m_stats->get_non_parametric_skew(); }
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std::vector<uint64_t> get_quantiles(size_t n) const { return m_stats->get_quantiles(n); }
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bool is_same_distribution(size_t npoints, double mean, double stddev) const
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{
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return m_stats->is_same_distribution_99(npoints, mean, stddev);
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}
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private:
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/**
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* Warm up processor core, enabling turbo boost, etc.
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*/
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uint64_t warm_up()
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{
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const size_t warm_up_rounds = 1000 * 1000 * 1000;
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m_warm_up = 0;
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for (size_t i = 0; i < warm_up_rounds; ++i)
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{
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++m_warm_up;
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}
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return m_warm_up;
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}
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private:
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volatile uint64_t m_warm_up; ///<! This field is intended for preclude compiler optimizations
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int m_elapsed;
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Params m_params;
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std::vector<tools::PerformanceTimer> m_per_call_timers;
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std::unique_ptr<Stats<tools::PerformanceTimer, uint64_t>> m_stats;
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};
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template <typename T>
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void run_test(const std::string &filter, Params ¶ms, const char* test_name)
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{
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boost::smatch match;
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if (!filter.empty() && !boost::regex_match(std::string(test_name), match, boost::regex(filter)))
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return;
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test_runner<T> runner(params);
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if (runner.run())
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{
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if (params.verbose)
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{
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std::cout << test_name << " - OK:\n";
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std::cout << " loop count: " << T::loop_count * params.loop_multiplier << '\n';
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std::cout << " elapsed: " << runner.elapsed_time() << " ms\n";
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if (params.stats)
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{
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std::cout << " min: " << runner.get_min() << " ns\n";
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std::cout << " max: " << runner.get_max() << " ns\n";
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std::cout << " median: " << runner.get_median() << " ns\n";
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std::cout << " std dev: " << runner.get_stddev() << " ns\n";
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}
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}
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else
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{
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std::cout << test_name << " (" << T::loop_count * params.loop_multiplier << " calls) - OK:";
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}
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const char *unit = "ms";
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double scale = 1000000;
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uint64_t time_per_call = runner.time_per_call();
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if (time_per_call < 100) {
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scale = 1000;
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time_per_call = runner.time_per_call(1000);
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#ifdef _WIN32
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unit = "us";
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#else
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unit = "µs";
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#endif
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}
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const auto quantiles = runner.get_quantiles(10);
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double min = runner.get_min();
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double max = runner.get_max();
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double med = runner.get_median();
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double mean = runner.get_mean();
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double stddev = runner.get_stddev();
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double npskew = runner.get_non_parametric_skew();
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std::vector<TimingsDatabase::instance> prev_instances = params.td.get(test_name);
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params.td.add(test_name, {time(NULL), runner.get_size(), min, max, mean, med, stddev, npskew, quantiles});
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std::cout << (params.verbose ? " time per call: " : " ") << time_per_call << " " << unit << "/call" << (params.verbose ? "\n" : "");
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if (params.stats)
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{
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uint64_t mins = min / scale;
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uint64_t maxs = max / scale;
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uint64_t meds = med / scale;
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uint64_t p95s = quantiles[9] / scale;
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uint64_t stddevs = stddev / scale;
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std::string cmp;
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if (!prev_instances.empty())
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{
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const TimingsDatabase::instance &prev_instance = prev_instances.back();
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if (!runner.is_same_distribution(prev_instance.npoints, prev_instance.mean, prev_instance.stddev))
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{
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double pc = fabs(100. * (prev_instance.mean - runner.get_mean()) / prev_instance.mean);
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cmp = ", " + std::to_string(pc) + "% " + (mean > prev_instance.mean ? "slower" : "faster");
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}
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cmp += " -- " + std::to_string(prev_instance.mean);
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}
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std::cout << " (min " << mins << " " << unit << ", 90th " << p95s << " " << unit << ", median " << meds << " " << unit << ", std dev " << stddevs << " " << unit << ")" << cmp;
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}
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std::cout << std::endl;
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}
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else
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{
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std::cout << test_name << " - FAILED" << std::endl;
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}
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}
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#define QUOTEME(x) #x
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#define TEST_PERFORMANCE0(filter, params, test_class) run_test< test_class >(filter, params, QUOTEME(test_class))
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#define TEST_PERFORMANCE1(filter, params, test_class, a0) run_test< test_class<a0> >(filter, params, QUOTEME(test_class<a0>))
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#define TEST_PERFORMANCE2(filter, params, test_class, a0, a1) run_test< test_class<a0, a1> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ">")
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#define TEST_PERFORMANCE3(filter, params, test_class, a0, a1, a2) run_test< test_class<a0, a1, a2> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ", " QUOTEME(a2) ">")
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#define TEST_PERFORMANCE4(filter, params, test_class, a0, a1, a2, a3) run_test< test_class<a0, a1, a2, a3> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ", " QUOTEME(a2) ", " QUOTEME(a3) ">")
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#define TEST_PERFORMANCE5(filter, params, test_class, a0, a1, a2, a3, a4) run_test< test_class<a0, a1, a2, a3, a4> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ", " QUOTEME(a2) ", " QUOTEME(a3) ", " QUOTEME(a4) ">")
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#define TEST_PERFORMANCE6(filter, params, test_class, a0, a1, a2, a3, a4, a5) run_test< test_class<a0, a1, a2, a3, a4, a5> >(filter, params, QUOTEME(test_class) "<" QUOTEME(a0) ", " QUOTEME(a1) ", " QUOTEME(a2) ", " QUOTEME(a3) ", " QUOTEME(a4) ", " QUOTEME(a5) ">")
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