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Catch2/src/catch2/benchmark/detail/catch_analyse.hpp
Lars Toenning f1084fb309
Fix references to license file
The license file was renamed with 6a502cc2f5fedd59b3495b58708f0d6d987ed9e1
2022-10-28 11:30:15 +02:00

81 lines
3.3 KiB
C++

// Copyright Catch2 Authors
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE.txt or copy at
// https://www.boost.org/LICENSE_1_0.txt)
// SPDX-License-Identifier: BSL-1.0
// Adapted from donated nonius code.
#ifndef CATCH_ANALYSE_HPP_INCLUDED
#define CATCH_ANALYSE_HPP_INCLUDED
#include <catch2/benchmark/catch_clock.hpp>
#include <catch2/benchmark/catch_environment.hpp>
#include <catch2/benchmark/catch_sample_analysis.hpp>
#include <catch2/benchmark/detail/catch_stats.hpp>
#include <catch2/interfaces/catch_interfaces_config.hpp>
#include <catch2/internal/catch_move_and_forward.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(static_cast<size_t>(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 {
CATCH_MOVE(samples2),
wrap_estimate(analysis.mean),
wrap_estimate(analysis.standard_deviation),
outliers,
analysis.outlier_variance,
};
} else {
std::vector<Duration> samples;
samples.reserve(static_cast<size_t>(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 {
CATCH_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 // CATCH_ANALYSE_HPP_INCLUDED