catch2/include/internal/benchmark/detail/catch_analyse.hpp

79 lines
3.1 KiB
C++
Raw Normal View History

/*
* Created by Joachim on 16/04/2019.
* Adapted from donated nonius code.
*
* Distributed under the Boost Software License, Version 1.0. (See accompanying
* file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
*/
// Run and analyse one benchmark
#ifndef TWOBLUECUBES_CATCH_DETAIL_ANALYSE_HPP_INCLUDED
#define TWOBLUECUBES_CATCH_DETAIL_ANALYSE_HPP_INCLUDED
#include "../catch_clock.hpp"
#include "../catch_sample_analysis.hpp"
#include "catch_stats.hpp"
#include <algorithm>
#include <iterator>
#include <vector>
namespace Catch {
namespace Benchmark {
namespace Detail {
template <typename Duration, typename Iterator>
SampleAnalysis<Duration> analyse(const IConfig &cfg, Environment<Duration>, Iterator first, Iterator last) {
if (!cfg.benchmarkNoAnalysis()) {
std::vector<double> samples;
samples.reserve(last - first);
std::transform(first, last, std::back_inserter(samples), [](Duration d) { return d.count(); });
auto analysis = Catch::Benchmark::Detail::analyse_samples(cfg.benchmarkConfidenceInterval(), cfg.benchmarkResamples(), samples.begin(), samples.end());
auto outliers = Catch::Benchmark::Detail::classify_outliers(samples.begin(), samples.end());
auto wrap_estimate = [](Estimate<double> e) {
return Estimate<Duration> {
Duration(e.point),
Duration(e.lower_bound),
Duration(e.upper_bound),
e.confidence_interval,
};
};
std::vector<Duration> samples2;
samples2.reserve(samples.size());
std::transform(samples.begin(), samples.end(), std::back_inserter(samples2), [](double d) { return Duration(d); });
return {
std::move(samples2),
wrap_estimate(analysis.mean),
wrap_estimate(analysis.standard_deviation),
outliers,
analysis.outlier_variance,
};
} else {
std::vector<Duration> samples;
samples.reserve(last - first);
Duration mean = Duration(0);
int i = 0;
for (auto it = first; it < last; ++it, ++i) {
samples.push_back(Duration(*it));
mean += Duration(*it);
}
mean /= i;
return {
std::move(samples),
Estimate<Duration>{mean, mean, mean, 0.0},
Estimate<Duration>{Duration(0), Duration(0), Duration(0), 0.0},
OutlierClassification{},
0.0
};
}
}
} // namespace Detail
} // namespace Benchmark
} // namespace Catch
#endif // TWOBLUECUBES_CATCH_DETAIL_ANALYSE_HPP_INCLUDED