detectors/aare
25
0
Fork 0
mirror of https://github.com/slsdetectorgroup/aare.git synced 2026-02-20 11:48:40 +01:00
Code Issues Actions Packages Releases Activity

For 2025.5.22 release (#181)
All checks were successful
Build on RHEL9 / build (push) Successful in 2m22s
Details
Build on RHEL8 / build (push) Successful in 2m29s
Details

Browse Source 
Co-authored-by: Patrick <patrick.sieberer@psi.ch>
Co-authored-by: JulianHeymes <julian.heymes@psi.ch>
Co-authored-by: Dhanya Thattil <dhanya.thattil@psi.ch>
Co-authored-by: Xiangyu Xie <45243914+xiangyuxie@users.noreply.github.com>
Co-authored-by: xiangyu.xie <xiangyu.xie@psi.ch>
Co-authored-by: AliceMazzoleni99 <alice.mazzoleni@psi.ch>
Co-authored-by: Mazzoleni Alice Francesca <mazzol_a@pc17378.psi.ch>
Co-authored-by: siebsi <sieb.patr@gmail.com>
This commit is contained in:
Erik Fröjdh
2025-05-22 11:40:39 +02:00
committed by GitHub
parent fd0196f2fd
commit 94ac58b09e
78 changed files with 3865 additions and 1461 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
src/ClusterFinder.test.cpp
View File

@@ -1,19 +1,18 @@
#include "aare/ClusterFinder.hpp"
#include "aare/Pedestal.hpp"
#include <catch2/matchers/catch_matchers_floating_point.hpp>
#include <catch2/catch_test_macros.hpp>
#include <catch2/matchers/catch_matchers_floating_point.hpp>
#include <chrono>
#include <random>
using namespace aare;
//TODO! Find a way to test the cluster finder
// TODO! Find a way to test the cluster finder
// class ClusterFinderUnitTest : public ClusterFinder {
// public:
// ClusterFinderUnitTest(int cluster_sizeX, int cluster_sizeY, double nSigma = 5.0, double threshold = 0.0)
// ClusterFinderUnitTest(int cluster_sizeX, int cluster_sizeY, double nSigma
// = 5.0, double threshold = 0.0)
// : ClusterFinder(cluster_sizeX, cluster_sizeY, nSigma, threshold) {}
// double get_c2() { return c2; }
// double get_c3() { return c3; }
@@ -37,8 +36,8 @@ using namespace aare;
// REQUIRE_THAT(cf.get_c3(), Catch::Matchers::WithinRel(c3, 1e-9));
// }
TEST_CASE("Construct a cluster finder"){
ClusterFinder clusterFinder({400,400}, {3,3});
TEST_CASE("Construct a cluster finder") {
ClusterFinder clusterFinder({400, 400});
// REQUIRE(clusterFinder.get_cluster_sizeX() == 3);
// REQUIRE(clusterFinder.get_cluster_sizeY() == 3);
// REQUIRE(clusterFinder.get_threshold() == 1);
@@ -49,16 +48,17 @@ TEST_CASE("Construct a cluster finder"){
// aare::Pedestal pedestal(10, 10, 5);
// NDArray<double, 2> frame({10, 10});
// frame = 0;
// ClusterFinder clusterFinder(3, 3, 1, 1); // 3x3 cluster, 1 nSigma, 1 threshold
// ClusterFinder clusterFinder(3, 3, 1, 1); // 3x3 cluster, 1 nSigma, 1
// threshold
// auto clusters = clusterFinder.find_clusters_without_threshold(frame.span(), pedestal);
// auto clusters =
// clusterFinder.find_clusters_without_threshold(frame.span(), pedestal);
// REQUIRE(clusters.size() == 0);
// frame(5, 5) = 10;
// clusters = clusterFinder.find_clusters_without_threshold(frame.span(), pedestal);
// REQUIRE(clusters.size() == 1);
// REQUIRE(clusters[0].x == 5);
// clusters = clusterFinder.find_clusters_without_threshold(frame.span(),
// pedestal); REQUIRE(clusters.size() == 1); REQUIRE(clusters[0].x == 5);
// REQUIRE(clusters[0].y == 5);
// for (int i = 0; i < 3; i++) {
// for (int j = 0; j < 3; j++) {