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ClusterFinder
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@ -7,53 +7,65 @@
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using namespace aare;
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class ClusterFinderUnitTest : public ClusterFinder {
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public:
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ClusterFinderUnitTest(int cluster_sizeX, int cluster_sizeY, double nSigma = 5.0, double threshold = 0.0)
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: ClusterFinder(cluster_sizeX, cluster_sizeY, nSigma, threshold) {}
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double get_c2() { return c2; }
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double get_c3() { return c3; }
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auto get_threshold() { return m_threshold; }
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auto get_nSigma() { return m_nSigma; }
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auto get_cluster_sizeX() { return m_cluster_sizeX; }
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auto get_cluster_sizeY() { return m_cluster_sizeY; }
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};
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//TODO! Find a way to test the cluster finder
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TEST_CASE("test ClusterFinder constructor") {
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ClusterFinderUnitTest cf(55, 100);
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REQUIRE(cf.get_cluster_sizeX() == 55);
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REQUIRE(cf.get_cluster_sizeY() == 100);
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REQUIRE(cf.get_threshold() == 0.0);
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REQUIRE(cf.get_nSigma() == 5.0);
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double c2 = sqrt((100 + 1) / 2 * (55 + 1) / 2);
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double c3 = sqrt(55 * 100);
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// REQUIRE(compare_floats<double>(cf.get_c2(), c2));
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// REQUIRE(compare_floats<double>(cf.get_c3(), c3));
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REQUIRE_THAT(cf.get_c2(), Catch::Matchers::WithinRel(c2, 1e-9));
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REQUIRE_THAT(cf.get_c3(), Catch::Matchers::WithinRel(c3, 1e-9));
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// class ClusterFinderUnitTest : public ClusterFinder {
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// public:
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// ClusterFinderUnitTest(int cluster_sizeX, int cluster_sizeY, double nSigma = 5.0, double threshold = 0.0)
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// : ClusterFinder(cluster_sizeX, cluster_sizeY, nSigma, threshold) {}
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// double get_c2() { return c2; }
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// double get_c3() { return c3; }
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// auto get_threshold() { return m_threshold; }
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// auto get_nSigma() { return m_nSigma; }
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// auto get_cluster_sizeX() { return m_cluster_sizeX; }
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// auto get_cluster_sizeY() { return m_cluster_sizeY; }
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// };
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// TEST_CASE("test ClusterFinder constructor") {
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// ClusterFinderUnitTest cf(55, 100);
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// REQUIRE(cf.get_cluster_sizeX() == 55);
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// REQUIRE(cf.get_cluster_sizeY() == 100);
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// REQUIRE(cf.get_threshold() == 0.0);
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// REQUIRE(cf.get_nSigma() == 5.0);
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// double c2 = sqrt((100 + 1) / 2 * (55 + 1) / 2);
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// double c3 = sqrt(55 * 100);
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// // REQUIRE(compare_floats<double>(cf.get_c2(), c2));
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// // REQUIRE(compare_floats<double>(cf.get_c3(), c3));
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// REQUIRE_THAT(cf.get_c2(), Catch::Matchers::WithinRel(c2, 1e-9));
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// REQUIRE_THAT(cf.get_c3(), Catch::Matchers::WithinRel(c3, 1e-9));
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// }
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TEST_CASE("Construct a cluster finder"){
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ClusterFinder clusterFinder({400,400}, {3,3});
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// REQUIRE(clusterFinder.get_cluster_sizeX() == 3);
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// REQUIRE(clusterFinder.get_cluster_sizeY() == 3);
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// REQUIRE(clusterFinder.get_threshold() == 1);
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// REQUIRE(clusterFinder.get_nSigma() == 1);
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}
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TEST_CASE("test cluster finder") {
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aare::Pedestal pedestal(10, 10, 5);
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NDArray<double, 2> frame({10, 10});
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frame = 0;
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ClusterFinder clusterFinder(3, 3, 1, 1); // 3x3 cluster, 1 nSigma, 1 threshold
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// TEST_CASE("test cluster finder") {
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// aare::Pedestal pedestal(10, 10, 5);
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// NDArray<double, 2> frame({10, 10});
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// frame = 0;
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// ClusterFinder clusterFinder(3, 3, 1, 1); // 3x3 cluster, 1 nSigma, 1 threshold
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auto clusters = clusterFinder.find_clusters_without_threshold(frame.span(), pedestal);
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// auto clusters = clusterFinder.find_clusters_without_threshold(frame.span(), pedestal);
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REQUIRE(clusters.size() == 0);
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// REQUIRE(clusters.size() == 0);
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frame(5, 5) = 10;
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clusters = clusterFinder.find_clusters_without_threshold(frame.span(), pedestal);
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REQUIRE(clusters.size() == 1);
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REQUIRE(clusters[0].x == 5);
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REQUIRE(clusters[0].y == 5);
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for (int i = 0; i < 3; i++) {
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for (int j = 0; j < 3; j++) {
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if (i == 1 && j == 1)
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REQUIRE(clusters[0].get<double>(i * 3 + j) == 10);
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else
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REQUIRE(clusters[0].get<double>(i * 3 + j) == 0);
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}
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}
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}
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// frame(5, 5) = 10;
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// clusters = clusterFinder.find_clusters_without_threshold(frame.span(), pedestal);
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// REQUIRE(clusters.size() == 1);
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// REQUIRE(clusters[0].x == 5);
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// REQUIRE(clusters[0].y == 5);
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// for (int i = 0; i < 3; i++) {
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// for (int j = 0; j < 3; j++) {
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// if (i == 1 && j == 1)
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// REQUIRE(clusters[0].get<double>(i * 3 + j) == 10);
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// else
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// REQUIRE(clusters[0].get<double>(i * 3 + j) == 0);
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// }
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// }
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// }
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@ -66,7 +66,7 @@ TEST_CASE("test pedestal push") {
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}
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REQUIRE(pedestal.mean(i, j) == (i + j));
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REQUIRE(pedestal.variance(i, j) == 0);
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REQUIRE(pedestal.standard_deviation(i, j) == 0);
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REQUIRE(pedestal.std(i, j) == 0);
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}
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}
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}
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@ -91,7 +91,7 @@ TEST_CASE("test pedestal with normal distribution") {
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}
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auto mean = pedestal.mean();
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auto variance = pedestal.variance();
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auto standard_deviation = pedestal.standard_deviation();
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auto standard_deviation = pedestal.std();
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for (int i = 0; i < 3; i++) {
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for (int j = 0; j < 5; j++) {
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