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https://github.com/boostorg/histogram.git
synced 2026-01-29 19:42:12 +00:00
lightweight alternative to vector
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@@ -10,31 +10,49 @@
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#include <ctime>
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#include <limits>
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#include <random>
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#include <vector>
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#include <memory>
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using namespace boost::histogram;
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namespace mpl = boost::mpl;
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std::vector<double> random_array(unsigned n, int type) {
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std::vector<double> result(n);
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std::unique_ptr<double[]> random_array(unsigned n, int type) {
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std::unique_ptr<double[]> r(new double[n]);
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std::default_random_engine gen(1);
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if (type) { // type == 1
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std::normal_distribution<> d(0.5, 0.3);
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for (auto &x : result)
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x = d(gen);
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for (unsigned i = 0; i < n; ++i)
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r[i] = d(gen);
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} else { // type == 0
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std::uniform_real_distribution<> d(0.0, 1.0);
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for (auto &x : result)
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x = d(gen);
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for (unsigned i = 0; i < n; ++i)
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r[i] = d(gen);
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}
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return result;
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return r;
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}
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template<class T> void ignore( const T& ) { }
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double baseline(unsigned n) {
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auto r = random_array(n, 0);
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auto best = std::numeric_limits<double>::max();
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for (unsigned k = 0; k < 20; ++k) {
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auto t = clock();
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for (unsigned i = 0; i < n; ++i) {
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volatile auto x = r[i];
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ignore(x);
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}
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t = clock() - t;
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best = std::min(best, double(t) / CLOCKS_PER_SEC);
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}
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return best;
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}
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template <typename Histogram> double compare_1d(unsigned n, int distrib) {
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auto r = random_array(n, distrib);
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auto best = std::numeric_limits<double>::max();
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for (unsigned k = 0; k < 50; ++k) {
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for (unsigned k = 0; k < 20; ++k) {
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auto h = Histogram(axis::regular<>(100, 0, 1));
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auto t = clock();
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for (unsigned i = 0; i < n; ++i)
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@@ -50,7 +68,7 @@ template <typename Histogram> double compare_2d(unsigned n, int distrib) {
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auto r = random_array(n, distrib);
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auto best = std::numeric_limits<double>::max();
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for (unsigned k = 0; k < 50; ++k) {
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for (unsigned k = 0; k < 20; ++k) {
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auto h = Histogram(axis::regular<>(100, 0, 1), axis::regular<>(100, 0, 1));
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auto t = clock();
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for (unsigned i = 0; i < n/2; ++i)
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@@ -66,7 +84,7 @@ template <typename Histogram> double compare_3d(unsigned n, int distrib) {
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auto r = random_array(n, distrib);
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auto best = std::numeric_limits<double>::max();
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for (unsigned k = 0; k < 50; ++k) {
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for (unsigned k = 0; k < 20; ++k) {
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auto h = Histogram(axis::regular<>(100, 0, 1), axis::regular<>(100, 0, 1),
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axis::regular<>(100, 0, 1));
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auto t = clock();
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@@ -83,7 +101,7 @@ template <typename Histogram> double compare_6d(unsigned n, int distrib) {
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auto r = random_array(n, distrib);
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auto best = std::numeric_limits<double>::max();
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for (unsigned k = 0; k < 50; ++k) {
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for (unsigned k = 0; k < 20; ++k) {
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auto h = Histogram(axis::regular<>(10, 0, 1), axis::regular<>(10, 0, 1),
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axis::regular<>(10, 0, 1), axis::regular<>(10, 0, 1),
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axis::regular<>(10, 0, 1), axis::regular<>(10, 0, 1));
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@@ -101,6 +119,10 @@ template <typename Histogram> double compare_6d(unsigned n, int distrib) {
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}
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int main() {
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const unsigned nfill = 6000000;
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printf("baseline %.3f\n", baseline(nfill));
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printf("1D\n");
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for (int itype = 0; itype < 2; ++itype) {
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if (itype == 0)
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@@ -110,17 +132,17 @@ int main() {
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printf("hs_ss %.3f\n",
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compare_1d<static_histogram<mpl::vector<axis::regular<>>,
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array_storage<int>>>(
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6000000, itype));
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nfill, itype));
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printf("hs_sd %.3f\n",
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compare_1d<static_histogram<mpl::vector<axis::regular<>>,
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adaptive_storage>>(6000000, itype));
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adaptive_storage>>(nfill, itype));
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printf("hd_ss %.3f\n",
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compare_1d<dynamic_histogram<axis::builtins,
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array_storage<int>>>(
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6000000, itype));
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nfill, itype));
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printf("hd_sd %.3f\n",
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compare_1d<dynamic_histogram<axis::builtins, adaptive_storage>>(
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6000000, itype));
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nfill, itype));
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}
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printf("2D\n");
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@@ -132,18 +154,18 @@ int main() {
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printf("hs_ss %.3f\n",
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compare_2d<static_histogram<
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mpl::vector<axis::regular<>, axis::regular<>>,
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array_storage<int>>>(6000000, itype));
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array_storage<int>>>(nfill, itype));
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printf("hs_sd %.3f\n",
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compare_2d<static_histogram<
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mpl::vector<axis::regular<>, axis::regular<>>,
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adaptive_storage>>(6000000, itype));
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adaptive_storage>>(nfill, itype));
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printf("hd_ss %.3f\n",
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compare_2d<dynamic_histogram<axis::builtins,
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array_storage<int>>>(
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6000000, itype));
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nfill, itype));
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printf("hd_sd %.3f\n",
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compare_2d<dynamic_histogram<axis::builtins, adaptive_storage>>(
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6000000, itype));
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nfill, itype));
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}
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printf("3D\n");
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@@ -155,18 +177,18 @@ int main() {
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printf("hs_ss %.3f\n",
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compare_3d<static_histogram<
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mpl::vector<axis::regular<>, axis::regular<>, axis::regular<>>,
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array_storage<int>>>(6000000, itype));
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array_storage<int>>>(nfill, itype));
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printf("hs_sd %.3f\n",
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compare_3d<static_histogram<
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mpl::vector<axis::regular<>, axis::regular<>, axis::regular<>>,
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adaptive_storage>>(6000000, itype));
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adaptive_storage>>(nfill, itype));
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printf("hd_ss %.3f\n",
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compare_3d<dynamic_histogram<axis::builtins,
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array_storage<int>>>(
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6000000, itype));
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nfill, itype));
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printf("hd_sd %.3f\n",
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compare_3d<dynamic_histogram<axis::builtins, adaptive_storage>>(
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6000000, itype));
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nfill, itype));
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}
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printf("6D\n");
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@@ -179,18 +201,18 @@ int main() {
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compare_6d<static_histogram<
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mpl::vector<axis::regular<>, axis::regular<>, axis::regular<>,
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axis::regular<>, axis::regular<>, axis::regular<>>,
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array_storage<int>>>(6000000, itype));
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array_storage<int>>>(nfill, itype));
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printf("hs_sd %.3f\n",
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compare_6d<static_histogram<
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mpl::vector<axis::regular<>, axis::regular<>, axis::regular<>,
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axis::regular<>, axis::regular<>, axis::regular<>>,
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adaptive_storage>>(6000000, itype));
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adaptive_storage>>(nfill, itype));
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printf("hd_ss %.3f\n",
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compare_6d<dynamic_histogram<axis::builtins,
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array_storage<int>>>(
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6000000, itype));
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nfill, itype));
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printf("hd_sd %.3f\n",
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compare_6d<dynamic_histogram<axis::builtins, adaptive_storage>>(
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6000000, itype));
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nfill, itype));
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}
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}
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