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https://github.com/slsdetectorgroup/aare.git
synced 2025-06-20 18:57:59 +02:00
templated eta and updated test
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@ -419,6 +419,7 @@ if(AARE_TESTS)
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${CMAKE_CURRENT_SOURCE_DIR}/src/ClusterFinder.test.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/src/ClusterVector.test.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/src/Cluster.test.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/src/CalculateEta.test.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/src/ClusterFile.test.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/src/Pedestal.test.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/src/NumpyFile.test.cpp
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@ -25,12 +25,11 @@ typedef enum {
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pTopRight = 8
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} pixel;
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// TODO: maybe template this!!!!!! why int32_t????
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struct Eta2 {
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template <typename T> struct Eta2 {
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double x;
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double y;
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int c;
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int32_t sum;
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T sum;
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};
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/**
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@ -56,9 +55,9 @@ NDArray<double, 2> calculate_eta2(const ClusterVector<ClusterType> &clusters) {
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*/
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template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
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typename CoordType>
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Eta2 calculate_eta2(
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const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &cl) {
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Eta2 eta{};
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Eta2<T>
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calculate_eta2(const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &cl) {
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Eta2<T> eta{};
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auto max_sum = cl.max_sum_2x2();
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eta.sum = max_sum.first;
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@ -67,7 +66,7 @@ Eta2 calculate_eta2(
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size_t index_bottom_left_max_2x2_subcluster =
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(int(c / (ClusterSizeX - 1))) * ClusterSizeX + c % (ClusterSizeX - 1);
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if ((cl.data[index_bottom_left_max_2x2_subcluster] +s
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if ((cl.data[index_bottom_left_max_2x2_subcluster] +
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cl.data[index_bottom_left_max_2x2_subcluster + 1]) != 0)
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eta.x = static_cast<double>(
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cl.data[index_bottom_left_max_2x2_subcluster + 1]) /
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@ -89,9 +88,9 @@ Eta2 calculate_eta2(
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// calculates Eta3 for 3x3 cluster based on code from analyze_cluster
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// TODO only supported for 3x3 Clusters
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template <typename T> Eta2 calculate_eta3(const Cluster<T, 3, 3> &cl) {
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template <typename T> Eta2<T> calculate_eta3(const Cluster<T, 3, 3> &cl) {
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Eta2 eta{};
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Eta2<T> eta{};
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T sum = 0;
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62
src/CalculateEta.test.cpp
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62
src/CalculateEta.test.cpp
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@ -0,0 +1,62 @@
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/************************************************
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* @file CalculateEta.test.cpp
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* @short test case to calculate_eta2
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***********************************************/
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#include "aare/CalculateEta.hpp"
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#include "aare/Cluster.hpp"
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#include "aare/ClusterFile.hpp"
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// #include "catch.hpp"
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#include <array>
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#include <catch2/catch_all.hpp>
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#include <catch2/catch_test_macros.hpp>
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using namespace aare;
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using ClusterTypes =
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std::variant<Cluster<int, 2, 2>, Cluster<int, 3, 3>, Cluster<int, 5, 5>,
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Cluster<int, 4, 2>, Cluster<int, 2, 3>>;
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auto get_test_parameters() {
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return GENERATE(
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std::make_tuple(ClusterTypes{Cluster<int, 2, 2>{0, 0, {1, 2, 3, 1}}},
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Eta2<int>{2. / 3, 3. / 4, corner::cBottomLeft, 7}),
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std::make_tuple(
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ClusterTypes{Cluster<int, 3, 3>{0, 0, {1, 2, 3, 4, 5, 6, 1, 2, 7}}},
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Eta2<int>{6. / 11, 2. / 7, corner::cTopRight, 20}),
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std::make_tuple(ClusterTypes{Cluster<int, 5, 5>{
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0, 0, {1, 6, 7, 6, 5, 4, 3, 2, 1, 8, 8, 9, 2,
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1, 4, 5, 6, 7, 8, 4, 1, 1, 1, 1, 1}}},
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Eta2<int>{9. / 17, 5. / 13, 8, 28}),
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std::make_tuple(
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ClusterTypes{Cluster<int, 4, 2>{0, 0, {1, 4, 7, 2, 5, 6, 4, 3}}},
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Eta2<int>{7. / 11, 6. / 10, 1, 21}),
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std::make_tuple(
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ClusterTypes{Cluster<int, 2, 3>{0, 0, {1, 3, 2, 3, 4, 2}}},
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Eta2<int>{3. / 5, 4. / 6, 1, 11}));
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}
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TEST_CASE("compute_largest_2x2_subcluster", "[.eta_calculation]") {
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auto [cluster, expected_eta] = get_test_parameters();
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auto [sum, index] = std::visit(
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[](const auto &clustertype) { return clustertype.max_sum_2x2(); },
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cluster);
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CHECK(expected_eta.c == index);
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CHECK(expected_eta.sum == sum);
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}
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TEST_CASE("calculate_eta2", "[.eta_calculation]") {
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auto [cluster, expected_eta] = get_test_parameters();
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auto eta = std::visit(
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[](const auto &clustertype) { return calculate_eta2(clustertype); },
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cluster);
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CHECK(eta.x == expected_eta.x);
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CHECK(eta.y == expected_eta.y);
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CHECK(eta.c == expected_eta.c);
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CHECK(eta.sum == expected_eta.sum);
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}
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@ -26,36 +26,3 @@ TEST_CASE("Correct Instantiation of Cluster and ClusterVector",
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CHECK(not is_cluster_v<int>);
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CHECK(is_cluster_v<Cluster<int, 3, 3>>);
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}
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using ClusterTypes =
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std::variant<Cluster<int, 2, 2>, Cluster<int, 3, 3>, Cluster<int, 5, 5>,
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Cluster<int, 4, 2>, Cluster<int, 2, 3>>;
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TEST_CASE("calculate_eta2", "[.cluster][.eta_calculation]") {
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auto [cluster, expected_eta] = GENERATE(
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std::make_tuple(ClusterTypes{Cluster<int, 2, 2>{0, 0, {1, 2, 3, 1}}},
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Eta2{2. / 3, 3. / 4, corner::cBottomLeft, 7}),
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std::make_tuple(
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ClusterTypes{Cluster<int, 3, 3>{0, 0, {1, 2, 3, 4, 5, 6, 1, 2, 7}}},
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Eta2{6. / 11, 2. / 7, corner::cTopRight, 20}),
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std::make_tuple(ClusterTypes{Cluster<int, 5, 5>{
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0, 0, {1, 6, 7, 6, 5, 4, 3, 2, 1, 8, 8, 9, 2,
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1, 4, 5, 6, 7, 8, 4, 1, 1, 1, 1, 1}}},
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Eta2{9. / 17, 5. / 13, 8, 28}),
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std::make_tuple(
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ClusterTypes{Cluster<int, 4, 2>{0, 0, {1, 4, 7, 2, 5, 6, 4, 3}}},
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Eta2{7. / 11, 6. / 10, 1, 21}),
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std::make_tuple(
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ClusterTypes{Cluster<int, 2, 3>{0, 0, {1, 3, 2, 3, 4, 2}}},
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Eta2{3. / 5, 4. / 6, 1, 11}));
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Eta2 eta = std::visit(
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[](const auto &clustertype) { return calculate_eta2(clustertype); },
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cluster);
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CHECK(eta.x == expected_eta.x);
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CHECK(eta.y == expected_eta.y);
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CHECK(eta.c == expected_eta.c);
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CHECK(eta.sum == expected_eta.sum);
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}
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@ -68,7 +68,7 @@ Interpolator::interpolate(const ClusterVector<ClusterType> &clusters) {
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for (size_t i = 0; i < clusters.size(); i++) {
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auto cluster = clusters.at(i);
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Eta2 eta = calculate_eta2(cluster);
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auto eta = calculate_eta2(cluster);
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Photon photon;
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photon.x = cluster.x;
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@ -118,7 +118,7 @@ Interpolator::interpolate(const ClusterVector<ClusterType> &clusters) {
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clusters.cluster_size_y() == 2) {
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for (size_t i = 0; i < clusters.size(); i++) {
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auto cluster = clusters.at(i);
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Eta2 eta = calculate_eta2(cluster);
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auto eta = calculate_eta2(cluster);
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Photon photon;
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photon.x = cluster.x;
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