Merge branch 'api_cluster_vector' into testing_clusters

This commit is contained in:
Erik Fröjdh
2025-04-14 16:40:47 +02:00
committed by GitHub
9 changed files with 283 additions and 438 deletions

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@ -26,3 +26,9 @@ TEST_CASE("Correct Instantiation of Cluster and ClusterVector",
CHECK(not is_cluster_v<int>);
CHECK(is_cluster_v<Cluster<int, 3, 3>>);
}
TEST_CASE("Test sum of Cluster", "[.cluster]") {
Cluster<int, 2, 2> cluster{0, 0, {1, 2, 3, 4}};
CHECK(cluster.sum() == 10);
}

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@ -2,21 +2,29 @@
#include "test_config.hpp"
#include "aare/defs.hpp"
#include <algorithm>
#include <catch2/catch_test_macros.hpp>
#include <filesystem>
using aare::Cluster;
using aare::ClusterFile;
using aare::ClusterVector;
TEST_CASE("Read one frame from a a cluster file", "[.files]") {
TEST_CASE("Read one frame from a cluster file", "[.files]") {
// We know that the frame has 97 clusters
auto fpath = test_data_path() / "clust" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
ClusterFile<Cluster<int32_t, 3, 3>> f(fpath);
auto clusters = f.read_frame();
REQUIRE(clusters.size() == 97);
REQUIRE(clusters.frame_number() == 135);
CHECK(clusters.size() == 97);
CHECK(clusters.frame_number() == 135);
CHECK(clusters.at(0).x == 1);
CHECK(clusters.at(0).y == 200);
int32_t expected_cluster_data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8};
CHECK(std::equal(std::begin(clusters.at(0).data),
std::end(clusters.at(0).data),
std::begin(expected_cluster_data)));
}
TEST_CASE("Read one frame using ROI", "[.files]") {
@ -43,6 +51,13 @@ TEST_CASE("Read one frame using ROI", "[.files]") {
REQUIRE(c.y >= roi.ymin);
REQUIRE(c.y <= roi.ymax);
}
CHECK(clusters.at(0).x == 1);
CHECK(clusters.at(0).y == 200);
int32_t expected_cluster_data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8};
CHECK(std::equal(std::begin(clusters.at(0).data),
std::end(clusters.at(0).data),
std::begin(expected_cluster_data)));
}
TEST_CASE("Read clusters from single frame file", "[.files]") {
@ -154,6 +169,12 @@ TEST_CASE("Read clusters from single frame file", "[.files]") {
auto clusters = f.read_clusters(50);
REQUIRE(clusters.size() == 50);
REQUIRE(clusters.frame_number() == 135);
int32_t expected_cluster_data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8};
REQUIRE(clusters.at(0).x == 1);
REQUIRE(clusters.at(0).y == 200);
CHECK(std::equal(std::begin(clusters.at(0).data),
std::end(clusters.at(0).data),
std::begin(expected_cluster_data)));
}
SECTION("Read more clusters than available") {
ClusterFile<Cluster<int32_t, 3, 3>> f(fpath);
@ -161,24 +182,169 @@ TEST_CASE("Read clusters from single frame file", "[.files]") {
auto clusters = f.read_clusters(100);
REQUIRE(clusters.size() == 97);
REQUIRE(clusters.frame_number() == 135);
int32_t expected_cluster_data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8};
REQUIRE(clusters.at(0).x == 1);
REQUIRE(clusters.at(0).y == 200);
CHECK(std::equal(std::begin(clusters.at(0).data),
std::end(clusters.at(0).data),
std::begin(expected_cluster_data)));
}
SECTION("Read all clusters") {
ClusterFile<Cluster<int32_t, 3, 3>> f(fpath);
auto clusters = f.read_clusters(97);
REQUIRE(clusters.size() == 97);
REQUIRE(clusters.frame_number() == 135);
REQUIRE(clusters.at(0).x == 1);
REQUIRE(clusters.at(0).y == 200);
int32_t expected_cluster_data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8};
CHECK(std::equal(std::begin(clusters.at(0).data),
std::end(clusters.at(0).data),
std::begin(expected_cluster_data)));
}
}
TEST_CASE("Read clusters", "[.files]") {
// beam_En700eV_-40deg_300V_10us_d0_f0_100.clust
auto fpath = test_data_path() / "clust" /
"beam_En700eV_-40deg_300V_10us_d0_f0_100.clust";
TEST_CASE("Read clusters from single frame file with ROI", "[.files]") {
auto fpath = test_data_path() / "clust" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
ClusterFile<Cluster<int32_t, 3, 3>> f(fpath);
auto clusters = f.read_clusters(500);
aare::ROI roi;
roi.xmin = 0;
roi.xmax = 50;
roi.ymin = 200;
roi.ymax = 249;
f.set_roi(roi);
auto clusters = f.read_clusters(10);
CHECK(clusters.size() == 10);
CHECK(clusters.frame_number() == 135);
CHECK(clusters.at(0).x == 1);
CHECK(clusters.at(0).y == 200);
int32_t expected_cluster_data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8};
CHECK(std::equal(std::begin(clusters.at(0).data),
std::end(clusters.at(0).data),
std::begin(expected_cluster_data)));
}
TEST_CASE("Read cluster from multiple frame file", "[.files]") {
using ClusterType = Cluster<double, 2, 2>;
auto fpath =
test_data_path() / "clust" / "Two_frames_2x2double_test_clusters.clust";
REQUIRE(std::filesystem::exists(fpath));
// Two_frames_2x2double_test_clusters.clust
// frame number, num_clusters 0, 4
//[10, 20], {0. ,0., 0., 0.}
//[11, 30], {1., 1., 1., 1.}
//[12, 40], {2., 2., 2., 2.}
//[13, 50], {3., 3., 3., 3.}
// 1,4
//[10, 20], {4., 4., 4., 4.}
//[11, 30], {5., 5., 5., 5.}
//[12, 40], {6., 6., 6., 6.}
//[13, 50], {7., 7., 7., 7.}
SECTION("Read clusters from both frames") {
ClusterFile<ClusterType> f(fpath);
auto clusters = f.read_clusters(2);
REQUIRE(clusters.size() == 2);
REQUIRE(clusters.frame_number() == 0);
auto clusters1 = f.read_clusters(3);
REQUIRE(clusters1.size() == 3);
REQUIRE(clusters1.frame_number() == 1);
}
SECTION("Read all clusters") {
ClusterFile<ClusterType> f(fpath);
auto clusters = f.read_clusters(8);
REQUIRE(clusters.size() == 8);
REQUIRE(clusters.frame_number() == 1);
}
SECTION("Read clusters from one frame") {
ClusterFile<ClusterType> f(fpath);
auto clusters = f.read_clusters(2);
REQUIRE(clusters.size() == 2);
REQUIRE(clusters.frame_number() == 0);
auto clusters1 = f.read_clusters(1);
REQUIRE(clusters1.size() == 1);
REQUIRE(clusters1.frame_number() == 0);
}
}
TEST_CASE("Write cluster with potential padding", "[.files][.ClusterFile]") {
using ClusterType = Cluster<double, 3, 3>;
REQUIRE(std::filesystem::exists(test_data_path() / "clust"));
auto fpath = test_data_path() / "clust" / "single_frame_2_clusters.clust";
ClusterFile<ClusterType> file(fpath, 1000, "w");
ClusterVector<ClusterType> clustervec(2);
int16_t coordinate = 5;
clustervec.push_back(ClusterType{
coordinate, coordinate, {0., 0., 0., 0., 0., 0., 0., 0., 0.}});
clustervec.push_back(ClusterType{
coordinate, coordinate, {0., 0., 0., 0., 0., 0., 0., 0., 0.}});
file.write_frame(clustervec);
file.close();
file.open("r");
auto read_cluster_vector = file.read_frame();
CHECK(read_cluster_vector.size() == 2);
CHECK(read_cluster_vector.frame_number() == 0);
CHECK(read_cluster_vector.at(0).x == clustervec.at(0).x);
CHECK(read_cluster_vector.at(0).y == clustervec.at(0).y);
CHECK(std::equal(clustervec.at(0).data, clustervec.at(0).data + 9,
read_cluster_vector.at(0).data, [](double a, double b) {
return std::abs(a - b) <
std::numeric_limits<double>::epsilon();
}));
CHECK(read_cluster_vector.at(1).x == clustervec.at(1).x);
CHECK(read_cluster_vector.at(1).y == clustervec.at(1).y);
CHECK(std::equal(clustervec.at(1).data, std::end(clustervec.at(1).data),
read_cluster_vector.at(1).data, [](double a, double b) {
return std::abs(a - b) <
std::numeric_limits<double>::epsilon();
}));
}
TEST_CASE("Read frame and modify cluster data", "[.files][.ClusterFile]") {
auto fpath = test_data_path() / "clust" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
ClusterFile<Cluster<int32_t, 3, 3>> f(fpath);
auto clusters = f.read_frame();
CHECK(clusters.size() == 97);
CHECK(clusters.frame_number() == 135);
int32_t expected_cluster_data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8};
clusters.push_back(
Cluster<int32_t, 3, 3>{0, 0, {0, 1, 2, 3, 4, 5, 6, 7, 8}});
CHECK(clusters.size() == 98);
CHECK(clusters.at(0).x == 1);
CHECK(clusters.at(0).y == 200);
CHECK(std::equal(std::begin(clusters.at(0).data),
std::end(clusters.at(0).data),
std::begin(expected_cluster_data)));
}

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@ -8,15 +8,14 @@
using aare::Cluster;
using aare::ClusterVector;
TEST_CASE("item_size return the size of the cluster stored"){
TEST_CASE("item_size return the size of the cluster stored") {
using C1 = Cluster<int32_t, 2, 2>;
ClusterVector<C1> cv(4);
CHECK(cv.item_size() == sizeof(C1));
//Sanity check
//2*2*4 = 16 bytes of data for the cluster
// 2*2 = 4 bytes for the x and y coordinates
// Sanity check
// 2*2*4 = 16 bytes of data for the cluster
// 2*2 = 4 bytes for the x and y coordinates
REQUIRE(cv.item_size() == 20);
using C2 = Cluster<int32_t, 3, 3>;
@ -30,6 +29,18 @@ TEST_CASE("item_size return the size of the cluster stored"){
using C4 = Cluster<char, 10, 5>;
ClusterVector<C4> cv4(4);
CHECK(cv4.item_size() == sizeof(C4));
using C5 = Cluster<int32_t, 2, 3>;
ClusterVector<C5> cv5(4);
CHECK(cv5.item_size() == sizeof(C5));
using C6 = Cluster<double, 5, 5>;
ClusterVector<C6> cv6(4);
CHECK(cv6.item_size() == sizeof(C6));
using C7 = Cluster<double, 3, 3>;
ClusterVector<C7> cv7(4);
CHECK(cv7.item_size() == sizeof(C7));
}
TEST_CASE("ClusterVector 2x2 int32_t capacity 4, push back then read",