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https://github.com/slsdetectorgroup/aare.git
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cut also for frames
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Build the package using cmake then documentation / build (ubuntu-latest, 3.12) (push) Successful in 1m36s
All checks were successful
Build the package using cmake then documentation / build (ubuntu-latest, 3.12) (push) Successful in 1m36s
This commit is contained in:
@ -396,6 +396,7 @@ if(AARE_TESTS)
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${CMAKE_CURRENT_SOURCE_DIR}/src/NDView.test.cpp
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${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/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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${CMAKE_CURRENT_SOURCE_DIR}/src/NumpyHelpers.test.cpp
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@ -10,7 +10,7 @@
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namespace aare {
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//TODO! Legacy enums, migrate to enum class
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typedef enum {
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cBottomLeft = 0,
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cBottomRight = 1,
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@ -44,15 +44,7 @@ struct ClusterAnalysis {
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double etay;
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};
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/*
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Binary cluster file. Expects data to be layed out as:
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int32_t frame_number
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uint32_t number_of_clusters
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int16_t x, int16_t y, int32_t data[9] x number_of_clusters
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int32_t frame_number
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uint32_t number_of_clusters
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....
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*/
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/**
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* @brief Class to read and write cluster files
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@ -61,19 +53,19 @@ uint32_t number_of_clusters
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*
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* int32_t frame_number
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* uint32_t number_of_clusters
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* int16_t x, int16_t y, int32_t data[9] x number_of_clusters
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* int16_t x, int16_t y, int32_t data[9] * number_of_clusters
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* int32_t frame_number
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* uint32_t number_of_clusters
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* etc.
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*/
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class ClusterFile {
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FILE *fp{};
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uint32_t m_num_left{};
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size_t m_chunk_size{};
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const std::string m_mode;
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std::optional<ROI> m_roi;
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std::optional<NDArray<int32_t, 2>> m_noise_map;
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std::optional<NDArray<double, 2>> m_gain_map;
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uint32_t m_num_left{}; /*Number of photons left in frame*/
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size_t m_chunk_size{}; /*Number of clusters to read at a time*/
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const std::string m_mode; /*Mode to open the file in*/
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std::optional<ROI> m_roi; /*Region of interest, will be applied if set*/
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std::optional<NDArray<int32_t, 2>> m_noise_map; /*Noise map to cut photons, will be applied if set*/
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std::optional<NDArray<double, 2>> m_gain_map; /*Gain map to apply to the clusters, will be applied if set*/
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public:
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/**
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@ -98,10 +90,6 @@ class ClusterFile {
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*/
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ClusterVector<int32_t> read_clusters(size_t n_clusters);
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/**
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* @brief Read a single frame from the file and return the clusters. The
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* cluster vector will have the frame number set.
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@ -113,19 +101,28 @@ class ClusterFile {
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void write_frame(const ClusterVector<int32_t> &clusters);
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// Need to be migrated to support NDArray and return a ClusterVector
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// std::vector<Cluster3x3>
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// read_cluster_with_cut(size_t n_clusters, double *noise_map, int nx, int ny);
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/**
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* @brief Return the chunk size
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*/
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size_t chunk_size() const { return m_chunk_size; }
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/**
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* @brief Set the region of interest to use when reading clusters. If set only clusters within
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* the ROI will be read.
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*/
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void set_roi(ROI roi);
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/**
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* @brief Set the noise map to use when reading clusters. If set clusters below the noise
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* level will be discarded. Selection criteria one of: Central pixel above noise, highest
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* 2x2 sum above 2 * noise, total sum above 3 * noise.
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*/
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void set_noise_map(const NDView<int32_t, 2> noise_map);
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/**
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* @brief Set the gain map to use when reading clusters. If set the gain map will be applied
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* to the clusters that pass ROI and noise_map selection.
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*/
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void set_gain_map(const NDView<double, 2> gain_map);
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@ -137,15 +134,13 @@ class ClusterFile {
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private:
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ClusterVector<int32_t> read_clusters_with_cut(size_t n_clusters);
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ClusterVector<int32_t> read_clusters_without_cut(size_t n_clusters);
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ClusterVector<int32_t> read_frame_with_cut();
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ClusterVector<int32_t> read_frame_without_cut();
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bool is_selected(Cluster3x3 &cl);
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Cluster3x3 read_one_cluster();
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};
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int analyze_data(int32_t *data, int32_t *t2, int32_t *t3, char *quad,
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double *eta2x, double *eta2y, double *eta3x, double *eta3y);
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int analyze_cluster(Cluster3x3 &cl, int32_t *t2, int32_t *t3, char *quad,
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double *eta2x, double *eta2y, double *eta3x, double *eta3y);
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//TODO! helper functions that doesn't really belong here
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NDArray<double, 2> calculate_eta2(ClusterVector<int> &clusters);
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Eta2 calculate_eta2(Cluster3x3 &cl);
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Eta2 calculate_eta2(Cluster2x2 &cl);
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@ -60,11 +60,22 @@ void ClusterFile::write_frame(const ClusterVector<int32_t> &clusters) {
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!(clusters.cluster_size_y() == 3)) {
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throw std::runtime_error("Only 3x3 clusters are supported");
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}
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//First write the frame number - 4 bytes
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int32_t frame_number = clusters.frame_number();
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fwrite(&frame_number, sizeof(frame_number), 1, fp);
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if(fwrite(&frame_number, sizeof(frame_number), 1, fp)!=1){
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throw std::runtime_error(LOCATION + "Could not write frame number");
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}
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//Then write the number of clusters - 4 bytes
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uint32_t n_clusters = clusters.size();
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fwrite(&n_clusters, sizeof(n_clusters), 1, fp);
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fwrite(clusters.data(), clusters.item_size(), clusters.size(), fp);
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if(fwrite(&n_clusters, sizeof(n_clusters), 1, fp)!=1){
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throw std::runtime_error(LOCATION + "Could not write number of clusters");
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}
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//Now write the clusters in the frame
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if(fwrite(clusters.data(), clusters.item_size(), clusters.size(), fp)!=clusters.size()){
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throw std::runtime_error(LOCATION + "Could not write clusters");
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}
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}
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@ -110,6 +121,7 @@ ClusterVector<int32_t> ClusterFile::read_clusters_without_cut(size_t n_clusters)
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if (nph_read < n_clusters) {
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// keep on reading frames and photons until reaching n_clusters
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while (fread(&iframe, sizeof(iframe), 1, fp)) {
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clusters.set_frame_number(iframe);
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// read number of clusters in frame
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if (fread(&nph, sizeof(nph), 1, fp)) {
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if (nph > (n_clusters - nph_read))
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@ -192,7 +204,49 @@ Cluster3x3 ClusterFile::read_one_cluster(){
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return c;
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}
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ClusterVector<int32_t> ClusterFile::read_frame() {
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ClusterVector<int32_t> ClusterFile::read_frame(){
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if (m_mode != "r") {
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throw std::runtime_error(LOCATION + "File not opened for reading");
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}
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if (m_noise_map || m_roi){
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return read_frame_with_cut();
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}else{
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return read_frame_without_cut();
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}
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}
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ClusterVector<int32_t> ClusterFile::read_frame_without_cut() {
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if (m_mode != "r") {
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throw std::runtime_error("File not opened for reading");
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}
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if (m_num_left) {
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throw std::runtime_error(
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"There are still photons left in the last frame");
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}
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int32_t frame_number;
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if (fread(&frame_number, sizeof(frame_number), 1, fp) != 1) {
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throw std::runtime_error(LOCATION + "Could not read frame number");
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}
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int32_t n_clusters; // Saved as 32bit integer in the cluster file
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if (fread(&n_clusters, sizeof(n_clusters), 1, fp) != 1) {
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throw std::runtime_error(LOCATION + "Could not read number of clusters");
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}
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ClusterVector<int32_t> clusters(3, 3, n_clusters);
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clusters.set_frame_number(frame_number);
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if (fread(clusters.data(), clusters.item_size(), n_clusters, fp) !=
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static_cast<size_t>(n_clusters)) {
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throw std::runtime_error(LOCATION + "Could not read clusters");
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}
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clusters.resize(n_clusters);
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if (m_gain_map)
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clusters.apply_gain_map(m_gain_map->view());
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return clusters;
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}
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ClusterVector<int32_t> ClusterFile::read_frame_with_cut() {
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if (m_mode != "r") {
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throw std::runtime_error("File not opened for reading");
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}
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@ -205,22 +259,27 @@ ClusterVector<int32_t> ClusterFile::read_frame() {
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throw std::runtime_error("Could not read frame number");
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}
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int32_t n_clusters; // Saved as 32bit integer in the cluster file
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if (fread(&n_clusters, sizeof(n_clusters), 1, fp) != 1) {
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if (fread(&m_num_left, sizeof(m_num_left), 1, fp) != 1) {
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throw std::runtime_error("Could not read number of clusters");
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}
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// std::vector<Cluster3x3> clusters(n_clusters);
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ClusterVector<int32_t> clusters(3, 3, n_clusters);
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ClusterVector<int32_t> clusters(3, 3);
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clusters.reserve(m_num_left);
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clusters.set_frame_number(frame_number);
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if (fread(clusters.data(), clusters.item_size(), n_clusters, fp) !=
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static_cast<size_t>(n_clusters)) {
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throw std::runtime_error("Could not read clusters");
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while(m_num_left){
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Cluster3x3 c = read_one_cluster();
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if(is_selected(c)){
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clusters.push_back(c.x, c.y, reinterpret_cast<std::byte*>(c.data));
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}
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}
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clusters.resize(n_clusters);
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if (m_gain_map)
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clusters.apply_gain_map(m_gain_map->view());
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return clusters;
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}
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bool ClusterFile::is_selected(Cluster3x3 &cl) {
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//Should fail fast
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if (m_roi) {
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@ -242,133 +301,6 @@ bool ClusterFile::is_selected(Cluster3x3 &cl) {
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return true;
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}
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// std::vector<Cluster3x3> ClusterFile::read_cluster_with_cut(size_t n_clusters,
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// double *noise_map,
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// int nx, int ny) {
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// if (m_mode != "r") {
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// throw std::runtime_error("File not opened for reading");
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// }
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// std::vector<Cluster3x3> clusters(n_clusters);
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// // size_t read_clusters_with_cut(FILE *fp, size_t n_clusters, Cluster *buf,
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// // uint32_t *n_left, double *noise_map, int
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// // nx, int ny) {
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// int iframe = 0;
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// // uint32_t nph = *n_left;
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// uint32_t nph = m_num_left;
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// // uint32_t nn = *n_left;
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// uint32_t nn = m_num_left;
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// size_t nph_read = 0;
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// int32_t t2max, tot1;
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// int32_t tot3;
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// // Cluster *ptr = buf;
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// Cluster3x3 *ptr = clusters.data();
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// int good = 1;
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// double noise;
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// // read photons left from previous frame
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// if (noise_map)
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// printf("Using noise map\n");
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// if (nph) {
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// if (nph > n_clusters) {
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// // if we have more photons left in the frame then photons to
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// // read we read directly the requested number
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// nn = n_clusters;
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// } else {
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// nn = nph;
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// }
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// for (size_t iph = 0; iph < nn; iph++) {
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// // read photons 1 by 1
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// size_t n_read =
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// fread(reinterpret_cast<void *>(ptr), sizeof(Cluster3x3), 1, fp);
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// if (n_read != 1) {
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// clusters.resize(nph_read);
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// return clusters;
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// }
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// // TODO! error handling on read
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// good = 1;
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// if (noise_map) {
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// if (ptr->x >= 0 && ptr->x < nx && ptr->y >= 0 && ptr->y < ny) {
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// tot1 = ptr->data[4];
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// analyze_cluster(*ptr, &t2max, &tot3, NULL, NULL, NULL, NULL,
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// NULL);
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// noise = noise_map[ptr->y * nx + ptr->x];
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// if (tot1 > noise || t2max > 2 * noise || tot3 > 3 * noise) {
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// ;
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// } else {
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// good = 0;
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// printf("%d %d %f %d %d %d\n", ptr->x, ptr->y, noise,
|
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// tot1, t2max, tot3);
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// }
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// } else {
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// printf("Bad pixel number %d %d\n", ptr->x, ptr->y);
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// good = 0;
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// }
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// }
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// if (good) {
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// ptr++;
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// nph_read++;
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// }
|
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// (m_num_left)--;
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// if (nph_read >= n_clusters)
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// break;
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||||
// }
|
||||
// }
|
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// if (nph_read < n_clusters) {
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// // // keep on reading frames and photons until reaching
|
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// // n_clusters
|
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// while (fread(&iframe, sizeof(iframe), 1, fp)) {
|
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// // // printf("%d\n",nph_read);
|
||||
|
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// if (fread(&nph, sizeof(nph), 1, fp)) {
|
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// // // printf("** %d\n",nph);
|
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// m_num_left = nph;
|
||||
// for (size_t iph = 0; iph < nph; iph++) {
|
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// // // read photons 1 by 1
|
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// size_t n_read = fread(reinterpret_cast<void *>(ptr),
|
||||
// sizeof(Cluster3x3), 1, fp);
|
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// if (n_read != 1) {
|
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// clusters.resize(nph_read);
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// return clusters;
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// // return nph_read;
|
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// }
|
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// good = 1;
|
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// if (noise_map) {
|
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// if (ptr->x >= 0 && ptr->x < nx && ptr->y >= 0 &&
|
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// ptr->y < ny) {
|
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// tot1 = ptr->data[4];
|
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// analyze_cluster(*ptr, &t2max, &tot3, NULL, NULL,
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// NULL, NULL, NULL);
|
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// // noise = noise_map[ptr->y * nx + ptr->x];
|
||||
// noise = noise_map[ptr->y + ny * ptr->x];
|
||||
// if (tot1 > noise || t2max > 2 * noise ||
|
||||
// tot3 > 3 * noise) {
|
||||
// ;
|
||||
// } else
|
||||
// good = 0;
|
||||
// } else {
|
||||
// printf("Bad pixel number %d %d\n", ptr->x, ptr->y);
|
||||
// good = 0;
|
||||
// }
|
||||
// }
|
||||
// if (good) {
|
||||
// ptr++;
|
||||
// nph_read++;
|
||||
// }
|
||||
// (m_num_left)--;
|
||||
// if (nph_read >= n_clusters)
|
||||
// break;
|
||||
// }
|
||||
// }
|
||||
// if (nph_read >= n_clusters)
|
||||
// break;
|
||||
// }
|
||||
// }
|
||||
// // printf("%d\n",nph_read);
|
||||
// clusters.resize(nph_read);
|
||||
// return clusters;
|
||||
// }
|
||||
|
||||
NDArray<double, 2> calculate_eta2(ClusterVector<int> &clusters) {
|
||||
//TOTO! make work with 2x2 clusters
|
||||
NDArray<double, 2> eta2({static_cast<int64_t>(clusters.size()), 2});
|
||||
@ -462,111 +394,4 @@ Eta2 calculate_eta2(Cluster2x2 &cl) {
|
||||
}
|
||||
|
||||
|
||||
|
||||
int analyze_cluster(Cluster3x3 &cl, int32_t *t2, int32_t *t3, char *quad,
|
||||
double *eta2x, double *eta2y, double *eta3x,
|
||||
double *eta3y) {
|
||||
|
||||
return analyze_data(cl.data, t2, t3, quad, eta2x, eta2y, eta3x, eta3y);
|
||||
}
|
||||
|
||||
int analyze_data(int32_t *data, int32_t *t2, int32_t *t3, char *quad,
|
||||
double *eta2x, double *eta2y, double *eta3x, double *eta3y) {
|
||||
|
||||
int ok = 1;
|
||||
|
||||
int32_t tot2[4];
|
||||
int32_t t2max = 0;
|
||||
char c = 0;
|
||||
int32_t val, tot3;
|
||||
|
||||
tot3 = 0;
|
||||
for (int i = 0; i < 4; i++)
|
||||
tot2[i] = 0;
|
||||
|
||||
for (int ix = 0; ix < 3; ix++) {
|
||||
for (int iy = 0; iy < 3; iy++) {
|
||||
val = data[iy * 3 + ix];
|
||||
// printf ("%d ",data[iy * 3 + ix]);
|
||||
tot3 += val;
|
||||
if (ix <= 1 && iy <= 1)
|
||||
tot2[cBottomLeft] += val;
|
||||
if (ix >= 1 && iy <= 1)
|
||||
tot2[cBottomRight] += val;
|
||||
if (ix <= 1 && iy >= 1)
|
||||
tot2[cTopLeft] += val;
|
||||
if (ix >= 1 && iy >= 1)
|
||||
tot2[cTopRight] += val;
|
||||
}
|
||||
// printf ("\n");
|
||||
}
|
||||
// printf ("\n");
|
||||
|
||||
if (t2 || quad) {
|
||||
|
||||
t2max = tot2[0];
|
||||
c = cBottomLeft;
|
||||
for (int i = 1; i < 4; i++) {
|
||||
if (tot2[i] > t2max) {
|
||||
t2max = tot2[i];
|
||||
c = i;
|
||||
}
|
||||
}
|
||||
// printf("*** %d %d %d %d --
|
||||
// %d\n",tot2[0],tot2[1],tot2[2],tot2[3],t2max);
|
||||
if (quad)
|
||||
*quad = c;
|
||||
if (t2)
|
||||
*t2 = t2max;
|
||||
}
|
||||
|
||||
if (t3)
|
||||
*t3 = tot3;
|
||||
|
||||
if (eta2x || eta2y) {
|
||||
if (eta2x)
|
||||
*eta2x = 0;
|
||||
if (eta2y)
|
||||
*eta2y = 0;
|
||||
switch (c) {
|
||||
case cBottomLeft:
|
||||
if (eta2x && (data[3] + data[4]) != 0)
|
||||
*eta2x = static_cast<double>(data[4]) / (data[3] + data[4]);
|
||||
if (eta2y && (data[1] + data[4]) != 0)
|
||||
*eta2y = static_cast<double>(data[4]) / (data[1] + data[4]);
|
||||
break;
|
||||
case cBottomRight:
|
||||
if (eta2x && (data[2] + data[5]) != 0)
|
||||
*eta2x = static_cast<double>(data[5]) / (data[4] + data[5]);
|
||||
if (eta2y && (data[1] + data[4]) != 0)
|
||||
*eta2y = static_cast<double>(data[4]) / (data[1] + data[4]);
|
||||
break;
|
||||
case cTopLeft:
|
||||
if (eta2x && (data[7] + data[4]) != 0)
|
||||
*eta2x = static_cast<double>(data[4]) / (data[3] + data[4]);
|
||||
if (eta2y && (data[7] + data[4]) != 0)
|
||||
*eta2y = static_cast<double>(data[7]) / (data[7] + data[4]);
|
||||
break;
|
||||
case cTopRight:
|
||||
if (eta2x && t2max != 0)
|
||||
*eta2x = static_cast<double>(data[5]) / (data[5] + data[4]);
|
||||
if (eta2y && t2max != 0)
|
||||
*eta2y = static_cast<double>(data[7]) / (data[7] + data[4]);
|
||||
break;
|
||||
default:;
|
||||
}
|
||||
}
|
||||
|
||||
if (eta3x || eta3y) {
|
||||
if (eta3x && (data[3] + data[4] + data[5]) != 0)
|
||||
*eta3x = static_cast<double>(-data[3] + data[3 + 2]) /
|
||||
(data[3] + data[4] + data[5]);
|
||||
if (eta3y && (data[1] + data[4] + data[7]) != 0)
|
||||
*eta3y = static_cast<double>(-data[1] + data[2 * 3 + 1]) /
|
||||
(data[1] + data[4] + data[7]);
|
||||
}
|
||||
|
||||
return ok;
|
||||
}
|
||||
|
||||
} // namespace aare
|
65
src/ClusterFile.test.cpp
Normal file
65
src/ClusterFile.test.cpp
Normal file
@ -0,0 +1,65 @@
|
||||
#include "aare/ClusterFile.hpp"
|
||||
#include "test_config.hpp"
|
||||
|
||||
|
||||
#include "aare/defs.hpp"
|
||||
#include <catch2/catch_test_macros.hpp>
|
||||
#include <filesystem>
|
||||
|
||||
|
||||
|
||||
|
||||
using aare::ClusterFile;
|
||||
|
||||
TEST_CASE("Read one frame from a a cluster file", "[.integration]") {
|
||||
//We know that the frame has 97 clusters
|
||||
auto fpath = test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
|
||||
REQUIRE(std::filesystem::exists(fpath));
|
||||
|
||||
ClusterFile f(fpath);
|
||||
auto clusters = f.read_frame();
|
||||
REQUIRE(clusters.size() == 97);
|
||||
REQUIRE(clusters.frame_number() == 135);
|
||||
}
|
||||
|
||||
TEST_CASE("Read one frame using ROI", "[.integration]") {
|
||||
//We know that the frame has 97 clusters
|
||||
auto fpath = test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
|
||||
REQUIRE(std::filesystem::exists(fpath));
|
||||
|
||||
ClusterFile f(fpath);
|
||||
aare::ROI roi;
|
||||
roi.xmin = 0;
|
||||
roi.xmax = 50;
|
||||
roi.ymin = 200;
|
||||
roi.ymax = 249;
|
||||
f.set_roi(roi);
|
||||
auto clusters = f.read_frame();
|
||||
REQUIRE(clusters.size() == 49);
|
||||
REQUIRE(clusters.frame_number() == 135);
|
||||
|
||||
//Check that all clusters are within the ROI
|
||||
for (size_t i = 0; i < clusters.size(); i++) {
|
||||
auto c = clusters.at<aare::Cluster3x3>(i);
|
||||
REQUIRE(c.x >= roi.xmin);
|
||||
REQUIRE(c.x <= roi.xmax);
|
||||
REQUIRE(c.y >= roi.ymin);
|
||||
REQUIRE(c.y <= roi.ymax);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
TEST_CASE("Read clusters from single frame file", "[.integration]") {
|
||||
|
||||
auto fpath = test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
|
||||
REQUIRE(std::filesystem::exists(fpath));
|
||||
|
||||
ClusterFile f(fpath);
|
||||
auto clusters = f.read_clusters(500);
|
||||
REQUIRE(clusters.size() == 97);
|
||||
|
||||
|
||||
//Cluster vector should hold the last read frame number:
|
||||
REQUIRE(clusters.frame_number() == 135);
|
||||
}
|
@ -7,6 +7,6 @@ inline auto test_data_path(){
|
||||
if(const char* env_p = std::getenv("AARE_TEST_DATA")){
|
||||
return std::filesystem::path(env_p);
|
||||
}else{
|
||||
throw std::runtime_error("AARE_TEST_DATA_PATH not set");
|
||||
throw std::runtime_error("Path to test data: $AARE_TEST_DATA not set");
|
||||
}
|
||||
}
|
Reference in New Issue
Block a user