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Cleanup benchmark headers a tiny bit
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@ -21,6 +21,27 @@
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#endif
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namespace {
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using Catch::Benchmark::Detail::sample;
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template <typename URng, typename Estimator>
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sample resample(URng& rng, int resamples, std::vector<double>::iterator first, std::vector<double>::iterator last, Estimator& estimator) {
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auto n = last - first;
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std::uniform_int_distribution<decltype(n)> dist(0, n - 1);
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sample out;
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out.reserve(resamples);
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std::generate_n(std::back_inserter(out), resamples, [n, first, &estimator, &dist, &rng] {
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std::vector<double> resampled;
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resampled.reserve(n);
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std::generate_n(std::back_inserter(resampled), n, [first, &dist, &rng] { return first[dist(rng)]; });
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return estimator(resampled.begin(), resampled.end());
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});
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std::sort(out.begin(), out.end());
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return out;
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}
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double erf_inv(double x) {
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// Code accompanying the article "Approximating the erfinv function" in GPU Computing Gems, Volume 2
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double w, p;
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@ -18,12 +18,10 @@
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#include <algorithm>
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#include <functional>
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#include <vector>
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#include <iterator>
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#include <numeric>
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#include <cmath>
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#include <utility>
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#include <cstddef>
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#include <random>
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namespace Catch {
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namespace Benchmark {
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@ -63,23 +61,6 @@ namespace Catch {
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return sum / count;
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}
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template <typename URng, typename Iterator, typename Estimator>
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sample resample(URng& rng, int resamples, Iterator first, Iterator last, Estimator& estimator) {
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auto n = last - first;
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std::uniform_int_distribution<decltype(n)> dist(0, n - 1);
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sample out;
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out.reserve(resamples);
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std::generate_n(std::back_inserter(out), resamples, [n, first, &estimator, &dist, &rng] {
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std::vector<double> resampled;
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resampled.reserve(n);
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std::generate_n(std::back_inserter(resampled), n, [first, &dist, &rng] { return first[dist(rng)]; });
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return estimator(resampled.begin(), resampled.end());
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});
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std::sort(out.begin(), out.end());
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return out;
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}
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template <typename Estimator, typename Iterator>
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sample jackknife(Estimator&& estimator, Iterator first, Iterator last) {
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auto n = last - first;
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