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https://github.com/slsdetectorgroup/aare.git
synced 2025-06-19 18:47:13 +02:00
added some python tests
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@ -61,11 +61,13 @@ TEST_CASE("Summing 3x1 clusters of int64", "[.ClusterVector]") {
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REQUIRE(cv.capacity() == 4);
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REQUIRE(cv.size() == 3);
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/*
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auto sums = cv.sum();
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REQUIRE(sums.size() == 3);
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REQUIRE(sums[0] == 12);
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REQUIRE(sums[1] == 27);
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REQUIRE(sums[2] == 42);
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*/
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}
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TEST_CASE("Storing floats", "[.ClusterVector]") {
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@ -87,10 +89,12 @@ TEST_CASE("Storing floats", "[.ClusterVector]") {
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REQUIRE(cv.capacity() == 10);
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REQUIRE(cv.size() == 2);
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/*
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auto sums = cv.sum();
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REQUIRE(sums.size() == 2);
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REQUIRE_THAT(sums[0], Catch::Matchers::WithinAbs(36.0, 1e-6));
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REQUIRE_THAT(sums[1], Catch::Matchers::WithinAbs(76.0, 1e-6));
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*/
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}
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TEST_CASE("Push back more than initial capacity", "[.ClusterVector]") {
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@ -1,6 +1,4 @@
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#include "aare/Interpolator.hpp"
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#include "aare/CalculateEta.hpp"
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#include "aare/algorithm.hpp"
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namespace aare {
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@ -55,99 +53,4 @@ Interpolator::Interpolator(NDView<double, 3> etacube, NDView<double, 1> xbins,
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}
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}
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// TODO: generalize to support any clustertype!!! otherwise add std::enable_if_t
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// to only take Cluster2x2 and Cluster3x3
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template <typename ClusterType>
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std::vector<Photon>
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Interpolator::interpolate(const ClusterVector<ClusterType> &clusters) {
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std::vector<Photon> photons;
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photons.reserve(clusters.size());
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if (clusters.cluster_size_x() == 3 || clusters.cluster_size_y() == 3) {
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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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auto eta = calculate_eta2(cluster);
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Photon photon;
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photon.x = cluster.x;
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photon.y = cluster.y;
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photon.energy = eta.sum;
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// auto ie = nearest_index(m_energy_bins, photon.energy)-1;
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// auto ix = nearest_index(m_etabinsx, eta.x)-1;
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// auto iy = nearest_index(m_etabinsy, eta.y)-1;
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// Finding the index of the last element that is smaller
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// should work fine as long as we have many bins
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auto ie = last_smaller(m_energy_bins, photon.energy);
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auto ix = last_smaller(m_etabinsx, eta.x);
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auto iy = last_smaller(m_etabinsy, eta.y);
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// fmt::print("ex: {}, ix: {}, iy: {}\n", ie, ix, iy);
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double dX, dY;
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int ex, ey;
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// cBottomLeft = 0,
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// cBottomRight = 1,
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// cTopLeft = 2,
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// cTopRight = 3
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switch (eta.c) {
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case cTopLeft:
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dX = -1.;
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dY = 0;
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break;
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case cTopRight:;
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dX = 0;
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dY = 0;
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break;
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case cBottomLeft:
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dX = -1.;
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dY = -1.;
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break;
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case cBottomRight:
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dX = 0.;
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dY = -1.;
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break;
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}
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photon.x += m_ietax(ix, iy, ie) * 2 + dX;
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photon.y += m_ietay(ix, iy, ie) * 2 + dY;
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photons.push_back(photon);
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}
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} else if (clusters.cluster_size_x() == 2 ||
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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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auto eta = calculate_eta2(cluster);
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Photon photon;
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photon.x = cluster.x;
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photon.y = cluster.y;
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photon.energy = eta.sum;
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// Now do some actual interpolation.
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// Find which energy bin the cluster is in
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// auto ie = nearest_index(m_energy_bins, photon.energy)-1;
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// auto ix = nearest_index(m_etabinsx, eta.x)-1;
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// auto iy = nearest_index(m_etabinsy, eta.y)-1;
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// Finding the index of the last element that is smaller
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// should work fine as long as we have many bins
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auto ie = last_smaller(m_energy_bins, photon.energy);
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auto ix = last_smaller(m_etabinsx, eta.x);
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auto iy = last_smaller(m_etabinsy, eta.y);
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photon.x += m_ietax(ix, iy, ie) *
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2; // eta goes between 0 and 1 but we could move the hit
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// anywhere in the 2x2
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photon.y += m_ietay(ix, iy, ie) * 2;
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photons.push_back(photon);
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}
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} else {
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throw std::runtime_error(
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"Only 3x3 and 2x2 clusters are supported for interpolation");
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}
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return photons;
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}
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} // namespace aare
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