added additional tests

include/aare/ClusterFile.hpp

@@ -11,7 +11,6 @@
 
 namespace aare {
 
-<<<<<<< HEAD
 /*
 Binary cluster file. Expects data to be layed out as:
 int32_t frame_number
@@ -21,44 +20,6 @@ int32_t frame_number
 uint32_t number_of_clusters
 ....
 */
-=======
-
-// TODO! Legacy enums, migrate to enum class
-typedef enum {
-    cBottomLeft = 0,
-    cBottomRight = 1,
-    cTopLeft = 2,
-    cTopRight = 3
-} corner;
-
-typedef enum {
-    pBottomLeft = 0,
-    pBottom = 1,
-    pBottomRight = 2,
-    pLeft = 3,
-    pCenter = 4,
-    pRight = 5,
-    pTopLeft = 6,
-    pTop = 7,
-    pTopRight = 8
-} pixel;
-
-struct Eta2 {
-    double x;
-    double y;
-    corner c;
-    int32_t sum;
-};
-
-struct ClusterAnalysis {
-    uint32_t c;
-    int32_t tot;
-    double etax;
-    double etay;
-};
-
-
->>>>>>> developer
 
 // TODO: change to support any type of clusters, e.g. header line with
 // clsuter_size_x, cluster_size_y,
@@ -109,8 +70,6 @@ class ClusterFile {
      */
     ClusterVector<ClusterType> read_clusters(size_t n_clusters);
 
-    ClusterVector<int32_t> read_clusters(size_t n_clusters, ROI roi);
-
     /**
      * @brief Read a single frame from the file and return the clusters. The
      * cluster vector will have the frame number set.

python/aare/__init__.py

@@ -3,7 +3,7 @@ from . import _aare
 
 
 from ._aare import File, RawMasterFile, RawSubFile, JungfrauDataFile
-from ._aare import Pedestal_d, Pedestal_f, ClusterFinder, VarClusterFinder
+from ._aare import Pedestal_d, Pedestal_f, ClusterFinder_Cluster3x3i, VarClusterFinder
 from ._aare import DetectorType
 from ._aare import ClusterFile_Cluster3x3i as ClusterFile
 from ._aare import hitmap

python/src/cluster_file.hpp

@@ -19,11 +19,12 @@
 namespace py = pybind11;
 using namespace ::aare;
 
-template <typename ClusterType>
+template <typename Type, uint8_t CoordSizeX, uint8_t CoordSizeY,
+          typename CoordType = uint16_t>
 void define_cluster_file_io_bindings(py::module &m,
                                      const std::string &typestr) {
-    // PYBIND11_NUMPY_DTYPE(Cluster<int, 3, 3>, x, y,
-    // data); // is this used - maybe use as cluster type
+
+    using ClusterType = Cluster<Type, CoordSizeX, CoordSizeY, CoordType>;
 
     auto class_name = fmt::format("ClusterFile_{}", typestr);
 

python/src/module.cpp

@@ -32,12 +32,12 @@ PYBIND11_MODULE(_aare, m) {
     define_interpolation_bindings(m);
     define_jungfrau_data_file_io_bindings(m);
 
-    define_cluster_file_io_bindings<Cluster<int, 3, 3>>(m, "Cluster3x3i");
-    define_cluster_file_io_bindings<Cluster<double, 3, 3>>(m, "Cluster3x3d");
-    define_cluster_file_io_bindings<Cluster<float, 3, 3>>(m, "Cluster3x3f");
-    define_cluster_file_io_bindings<Cluster<int, 2, 2>>(m, "Cluster2x2i");
-    define_cluster_file_io_bindings<Cluster<float, 2, 2>>(m, "Cluster2x2f");
-    define_cluster_file_io_bindings<Cluster<double, 2, 2>>(m, "Cluster2x2d");
+    define_cluster_file_io_bindings<int, 3, 3, uint16_t>(m, "Cluster3x3i");
+    define_cluster_file_io_bindings<double, 3, 3, uint16_t>(m, "Cluster3x3d");
+    define_cluster_file_io_bindings<float, 3, 3, uint16_t>(m, "Cluster3x3f");
+    define_cluster_file_io_bindings<int, 2, 2, uint16_t>(m, "Cluster2x2i");
+    define_cluster_file_io_bindings<float, 2, 2, uint16_t>(m, "Cluster2x2f");
+    define_cluster_file_io_bindings<double, 2, 2, uint16_t>(m, "Cluster2x2d");
 
     define_cluster_vector<int, 3, 3, uint16_t>(m, "Cluster3x3i");
     define_cluster_vector<double, 3, 3, uint16_t>(m, "Cluster3x3d");

python/tests/conftest.py

@@ -25,5 +25,10 @@ def pytest_collection_modifyitems(config, items):
 
 @pytest.fixture
 def test_data_path():
-    return Path(os.environ["AARE_TEST_DATA"])
+    env_value = os.environ.get("AARE_TEST_DATA")
+    if not env_value:
+        raise RuntimeError("Environment variable AARE_TEST_DATA is not set or is empty")
+
+    return Path(env_value)
+
 

python/tests/test_Cluster.py

@@ -1,7 +1,9 @@
 import pytest 
 import numpy as np
 
-import aare._aare as aare #import ClusterVector_Cluster3x3i, ClusterVector_Cluster2x2i, Interpolator, Cluster3x3i, ClusterFinder_Cluster3x3i, Cluster2x2i, ClusterFile_Cluster3x3i, Cluster3x3f, calculate_eta2
+import aare._aare as aare
+from conftest import test_data_path
+
 
 def test_ClusterVector(): 
     """Test ClusterVector""" 
@@ -64,15 +66,19 @@ def test_Interpolator():
     assert interpolated_photons[0]["energy"] == 4
 
 @pytest.mark.files
-def test_cluster_file(): 
+def test_cluster_file(test_data_path): 
     """Test ClusterFile""" 
-    cluster_file = aare.ClusterFile_Cluster3x3i(test_data_path() / "clust/single_frame_97_clustrers.clust") 
-    clustervector = cluster_file.read_clusters() #conversion does not work
+    cluster_file = aare.ClusterFile_Cluster3x3i(test_data_path / "clust/single_frame_97_clustrers.clust") 
+    clustervector = cluster_file.read_clusters(10) #conversion does not work
 
     cluster_file.close()
 
+    assert clustervector.size == 10
+
     ###reading with wrong file
-    cluster_file = ClusterFile_Cluster2x2i(test_data_path() / "clust/single_frame_97_clustrers.clust") #TODO check behavior! 
+    with pytest.raises(TypeError): 
+        cluster_file = aare.ClusterFile_Cluster2x2i(test_data_path / "clust/single_frame_97_clustrers.clust") 
+        cluster_file.close()
 
 def test_calculate_eta(): 
     """Calculate Eta""" 
@@ -103,6 +109,7 @@ def test_cluster_finder():
     assert clusters.size == 0
 
 
+#TODO dont understand behavior
 def test_cluster_collector(): 
     """Test ClusterCollector"""
 

src/ClusterFile.cpp

@@ -1,396 +0,0 @@
-#include "aare/ClusterFile.hpp"
-
-#include <algorithm>
-
-namespace aare {
-
-ClusterFile::ClusterFile(const std::filesystem::path &fname, size_t chunk_size,
-                         const std::string &mode)
-    : m_chunk_size(chunk_size), m_mode(mode) {
-
-    if (mode == "r") {
-        fp = fopen(fname.c_str(), "rb");
-        if (!fp) {
-            throw std::runtime_error("Could not open file for reading: " +
-                                     fname.string());
-        }
-    } else if (mode == "w") {
-        fp = fopen(fname.c_str(), "wb");
-        if (!fp) {
-            throw std::runtime_error("Could not open file for writing: " +
-                                     fname.string());
-        }
-    } else if (mode == "a") {
-        fp = fopen(fname.c_str(), "ab");
-        if (!fp) {
-            throw std::runtime_error("Could not open file for appending: " +
-                                     fname.string());
-        }
-    } else {
-        throw std::runtime_error("Unsupported mode: " + mode);
-    }
-}
-
-void ClusterFile::set_roi(ROI roi){
-    m_roi = roi;
-}
-
-void ClusterFile::set_noise_map(const NDView<int32_t, 2> noise_map){
-    m_noise_map = NDArray<int32_t, 2>(noise_map);
-}
-
-void ClusterFile::set_gain_map(const NDView<double, 2> gain_map){
-    m_gain_map = NDArray<double, 2>(gain_map);
-}
-
-ClusterFile::~ClusterFile() { close(); }
-
-void ClusterFile::close() {
-    if (fp) {
-        fclose(fp);
-        fp = nullptr;
-    }
-}
-
-void ClusterFile::write_frame(const ClusterVector<int32_t> &clusters) {
-    if (m_mode != "w" && m_mode != "a") {
-        throw std::runtime_error("File not opened for writing");
-    }
-    if (!(clusters.cluster_size_x() == 3) &&
-        !(clusters.cluster_size_y() == 3)) {
-        throw std::runtime_error("Only 3x3 clusters are supported");
-    }
-    //First write the frame number - 4 bytes
-    int32_t frame_number = clusters.frame_number();
-    if(fwrite(&frame_number, sizeof(frame_number), 1, fp)!=1){
-        throw std::runtime_error(LOCATION + "Could not write frame number");
-    }
-
-    //Then write the number of clusters - 4 bytes
-    uint32_t n_clusters = clusters.size();
-    if(fwrite(&n_clusters, sizeof(n_clusters), 1, fp)!=1){
-        throw std::runtime_error(LOCATION + "Could not write number of clusters");
-    }
-
-    //Now write the clusters in the frame
-    if(fwrite(clusters.data(), clusters.item_size(), clusters.size(), fp)!=clusters.size()){
-        throw std::runtime_error(LOCATION + "Could not write clusters");
-    }
-}
-
-
-ClusterVector<int32_t> ClusterFile::read_clusters(size_t n_clusters){
-    if (m_mode != "r") {
-        throw std::runtime_error("File not opened for reading");
-    }
-    if (m_noise_map || m_roi){
-        return read_clusters_with_cut(n_clusters);
-    }else{
-        return read_clusters_without_cut(n_clusters);
-    }
-}
-
-ClusterVector<int32_t> ClusterFile::read_clusters_without_cut(size_t n_clusters) {
-    if (m_mode != "r") {
-        throw std::runtime_error("File not opened for reading");
-    }
-    
-    ClusterVector<int32_t> clusters(3,3, n_clusters);
-
-    int32_t iframe = 0; // frame number needs to be 4 bytes!
-    size_t nph_read = 0;
-    uint32_t nn = m_num_left;
-    uint32_t nph = m_num_left; // number of clusters in frame needs to be 4
-
-    // auto buf = reinterpret_cast<Cluster3x3 *>(clusters.data());
-    auto buf = clusters.data();
-    // if there are photons left from previous frame read them first
-    if (nph) {
-        if (nph > n_clusters) {
-            // if we have more photons left in the frame then photons to read we
-            // read directly the requested number
-            nn = n_clusters;
-        } else {
-            nn = nph;
-        }
-        nph_read += fread((buf + nph_read*clusters.item_size()),
-                          clusters.item_size(), nn, fp);
-        m_num_left = nph - nn; // write back the number of photons left
-    }
-
-    if (nph_read < n_clusters) {
-        // keep on reading frames and photons until reaching n_clusters
-        while (fread(&iframe, sizeof(iframe), 1, fp)) {
-            clusters.set_frame_number(iframe);
-            // read number of clusters in frame
-            if (fread(&nph, sizeof(nph), 1, fp)) {
-                if (nph > (n_clusters - nph_read))
-                    nn = n_clusters - nph_read;
-                else
-                    nn = nph;
-
-                nph_read += fread((buf + nph_read*clusters.item_size()),
-                                  clusters.item_size(), nn, fp);
-                m_num_left = nph - nn;
-            }
-            if (nph_read >= n_clusters)
-                break;
-        }
-    }
-
-    // Resize the vector to the number of clusters.
-    // No new allocation, only change bounds.
-    clusters.resize(nph_read);
-    if(m_gain_map)
-        clusters.apply_gain_map(m_gain_map->view());
-    return clusters;
-}
-
-
-ClusterVector<int32_t> ClusterFile::read_clusters_with_cut(size_t n_clusters) {
-    ClusterVector<int32_t> clusters(3,3);
-    clusters.reserve(n_clusters);
-
-    // if there are photons left from previous frame read them first
-    if (m_num_left) {
-        while(m_num_left && clusters.size() < n_clusters){
-            Cluster3x3 c = read_one_cluster();
-            if(is_selected(c)){
-                clusters.push_back(c.x, c.y, reinterpret_cast<std::byte*>(c.data));
-            }
-        }
-    }
-
-    // we did not have enough clusters left in the previous frame
-    // keep on reading frames until reaching n_clusters
-    if (clusters.size() < n_clusters) {
-        // sanity check
-        if (m_num_left) {
-            throw std::runtime_error(LOCATION + "Entered second loop with clusters left\n");
-        }
-        
-        int32_t frame_number = 0; // frame number needs to be 4 bytes!
-        while (fread(&frame_number, sizeof(frame_number), 1, fp)) {
-            if (fread(&m_num_left, sizeof(m_num_left), 1, fp)) {
-                clusters.set_frame_number(frame_number); //cluster vector will hold the last frame number
-                while(m_num_left && clusters.size() < n_clusters){
-                    Cluster3x3 c = read_one_cluster();
-                    if(is_selected(c)){
-                        clusters.push_back(c.x, c.y, reinterpret_cast<std::byte*>(c.data));
-                    }
-                }
-            }
-
-            // we have enough clusters, break out of the outer while loop
-            if (clusters.size() >= n_clusters)
-                break;
-        }
-
-    }
-    if(m_gain_map)
-        clusters.apply_gain_map(m_gain_map->view());
-
-    return clusters;
-}
-
-Cluster3x3 ClusterFile::read_one_cluster(){
-    Cluster3x3 c;
-    auto rc = fread(&c, sizeof(c), 1, fp);
-    if (rc != 1) {
-        throw std::runtime_error(LOCATION + "Could not read cluster");
-    }
-    --m_num_left;
-    return c;
-}
-
-ClusterVector<int32_t> ClusterFile::read_frame(){
-    if (m_mode != "r") {
-        throw std::runtime_error(LOCATION + "File not opened for reading");
-    }
-    if (m_noise_map || m_roi){
-        return read_frame_with_cut();
-    }else{
-        return read_frame_without_cut();
-    }
-}
-
-ClusterVector<int32_t> ClusterFile::read_frame_without_cut() {
-    if (m_mode != "r") {
-        throw std::runtime_error("File not opened for reading");
-    }
-    if (m_num_left) {
-        throw std::runtime_error(
-            "There are still photons left in the last frame");
-    }
-    int32_t frame_number;
-    if (fread(&frame_number, sizeof(frame_number), 1, fp) != 1) {
-        throw std::runtime_error(LOCATION + "Could not read frame number");
-    }
-
-    int32_t n_clusters; // Saved as 32bit integer in the cluster file
-    if (fread(&n_clusters, sizeof(n_clusters), 1, fp) != 1) {
-        throw std::runtime_error(LOCATION + "Could not read number of clusters");
-    }
-
-    ClusterVector<int32_t> clusters(3, 3, n_clusters);
-    clusters.set_frame_number(frame_number);
-
-    if (fread(clusters.data(), clusters.item_size(), n_clusters, fp) !=
-        static_cast<size_t>(n_clusters)) {
-        throw std::runtime_error(LOCATION + "Could not read clusters");
-    }
-    clusters.resize(n_clusters);
-    if (m_gain_map)
-        clusters.apply_gain_map(m_gain_map->view());
-    return clusters;
-}
-
-ClusterVector<int32_t> ClusterFile::read_frame_with_cut() {
-    if (m_mode != "r") {
-        throw std::runtime_error("File not opened for reading");
-    }
-    if (m_num_left) {
-        throw std::runtime_error(
-            "There are still photons left in the last frame");
-    }
-    int32_t frame_number;
-    if (fread(&frame_number, sizeof(frame_number), 1, fp) != 1) {
-        throw std::runtime_error("Could not read frame number");
-    }
-
-
-    if (fread(&m_num_left, sizeof(m_num_left), 1, fp) != 1) {
-        throw std::runtime_error("Could not read number of clusters");
-    }
-    
-    ClusterVector<int32_t> clusters(3, 3);
-    clusters.reserve(m_num_left);
-    clusters.set_frame_number(frame_number);
-    while(m_num_left){
-        Cluster3x3 c = read_one_cluster();
-        if(is_selected(c)){
-            clusters.push_back(c.x, c.y, reinterpret_cast<std::byte*>(c.data));
-        }
-    }
-    if (m_gain_map)
-        clusters.apply_gain_map(m_gain_map->view());
-    return clusters;
-}
-
-
-
-bool ClusterFile::is_selected(Cluster3x3 &cl) {
-    //Should fail fast
-    if (m_roi) {
-        if (!(m_roi->contains(cl.x, cl.y))) {
-            return false;
-        }
-    }
-    if (m_noise_map){
-        int32_t sum_1x1 = cl.data[4]; // central pixel
-        int32_t sum_2x2 = cl.sum_2x2(); // highest sum of 2x2 subclusters
-        int32_t sum_3x3 = cl.sum(); // sum of all pixels
-
-        auto noise = (*m_noise_map)(cl.y, cl.x); //TODO! check if this is correct
-        if (sum_1x1 <= noise || sum_2x2 <= 2 * noise || sum_3x3 <= 3 * noise) {
-            return false;
-        }
-    }
-    //we passed all checks
-    return true;
-}
-
-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});
-    
-    if (clusters.cluster_size_x() == 3 || clusters.cluster_size_y() == 3) {
-        for (size_t i = 0; i < clusters.size(); i++) {
-            auto e = calculate_eta2(clusters.at<Cluster3x3>(i));
-            eta2(i, 0) = e.x;
-            eta2(i, 1) = e.y;
-        }
-    }else if(clusters.cluster_size_x() == 2 || clusters.cluster_size_y() == 2){
-        for (size_t i = 0; i < clusters.size(); i++) {
-            auto e = calculate_eta2(clusters.at<Cluster2x2>(i));
-            eta2(i, 0) = e.x;
-            eta2(i, 1) = e.y;
-        }
-    }else{
-        throw std::runtime_error("Only 3x3 and 2x2 clusters are supported");
-    }
-    
-    return eta2;
-}
-
-/** 
- * @brief Calculate the eta2 values for a 3x3 cluster and return them in a Eta2 struct
- * containing etay, etax and the corner of the cluster. 
-*/
-Eta2 calculate_eta2(Cluster3x3 &cl) {
-    Eta2 eta{};
-
-    std::array<int32_t, 4> tot2;
-    tot2[0] = cl.data[0] + cl.data[1] + cl.data[3] + cl.data[4];
-    tot2[1] = cl.data[1] + cl.data[2] + cl.data[4] + cl.data[5];
-    tot2[2] = cl.data[3] + cl.data[4] + cl.data[6] + cl.data[7];
-    tot2[3] = cl.data[4] + cl.data[5] + cl.data[7] + cl.data[8];
-
-    auto c = std::max_element(tot2.begin(), tot2.end()) - tot2.begin();
-    eta.sum = tot2[c];
-    switch (c) {
-    case cBottomLeft:
-        if ((cl.data[3] + cl.data[4]) != 0)
-            eta.x =
-                static_cast<double>(cl.data[4]) / (cl.data[3] + cl.data[4]);
-        if ((cl.data[1] + cl.data[4]) != 0)
-            eta.y =
-                static_cast<double>(cl.data[4]) / (cl.data[1] + cl.data[4]);
-        eta.c = cBottomLeft;
-        break;
-    case cBottomRight:
-        if ((cl.data[2] + cl.data[5]) != 0)
-            eta.x =
-                static_cast<double>(cl.data[5]) / (cl.data[4] + cl.data[5]);
-        if ((cl.data[1] + cl.data[4]) != 0)
-            eta.y =
-                static_cast<double>(cl.data[4]) / (cl.data[1] + cl.data[4]);
-        eta.c = cBottomRight;
-        break;
-    case cTopLeft:
-        if ((cl.data[7] + cl.data[4]) != 0)
-            eta.x =
-                static_cast<double>(cl.data[4]) / (cl.data[3] + cl.data[4]);
-        if ((cl.data[7] + cl.data[4]) != 0)
-            eta.y =
-                static_cast<double>(cl.data[7]) / (cl.data[7] + cl.data[4]);
-        eta.c = cTopLeft;
-        break;
-    case cTopRight:
-        if ((cl.data[5] + cl.data[4]) != 0)
-            eta.x =
-                static_cast<double>(cl.data[5]) / (cl.data[5] + cl.data[4]);
-        if ((cl.data[7] + cl.data[4]) != 0)
-            eta.y =
-                static_cast<double>(cl.data[7]) / (cl.data[7] + cl.data[4]);
-        eta.c = cTopRight;
-        break;
-    // no default to allow compiler to warn about missing cases
-    }
-    return eta;
-}
-
-
-Eta2 calculate_eta2(Cluster2x2 &cl) {
-    Eta2 eta{};
-    if ((cl.data[0] + cl.data[1]) != 0)
-        eta.x = static_cast<double>(cl.data[1]) / (cl.data[0] + cl.data[1]);
-    if ((cl.data[0] + cl.data[2]) != 0)
-        eta.y = static_cast<double>(cl.data[2]) / (cl.data[0] + cl.data[2]);
-    eta.sum = cl.data[0] + cl.data[1] + cl.data[2]+ cl.data[3];
-    eta.c = cBottomLeft; //TODO! This is not correct, but need to put something
-    return eta;
-}
-
-
-} // namespace aare

src/Interpolator.cpp

@@ -53,90 +53,4 @@ Interpolator::Interpolator(NDView<double, 3> etacube, NDView<double, 1> xbins,
     }
 }
 
-<<<<<<< HEAD
-=======
-std::vector<Photon> Interpolator::interpolate(const ClusterVector<int32_t>& clusters) {
-    std::vector<Photon> photons;
-    photons.reserve(clusters.size());
-
-    if (clusters.cluster_size_x() == 3 || clusters.cluster_size_y() == 3) {
-        for (size_t i = 0; i<clusters.size(); i++){
-
-            auto cluster = clusters.at<Cluster3x3>(i);
-            Eta2 eta= calculate_eta2(cluster);
-    
-            Photon photon;
-            photon.x = cluster.x;
-            photon.y = cluster.y;
-            photon.energy = eta.sum;
-    
-
-            //Finding the index of the last element that is smaller
-            //should work fine as long as we have many bins
-            auto ie = last_smaller(m_energy_bins, photon.energy);
-            auto ix = last_smaller(m_etabinsx, eta.x);
-            auto iy = last_smaller(m_etabinsy, eta.y); 
-            
-            double dX{}, dY{};
-            // cBottomLeft = 0,
-            // cBottomRight = 1,
-            // cTopLeft = 2,
-            // cTopRight = 3
-            switch (eta.c) {
-            case cTopLeft:
-                dX = -1.;
-                dY = 0.;
-                break;
-            case cTopRight:;
-                dX = 0.;
-                dY = 0.;
-                break;
-            case cBottomLeft:
-                dX = -1.;
-                dY = -1.;
-                break;
-            case cBottomRight:
-                dX = 0.; 
-                dY = -1.;
-                break;
-            }
-            photon.x += m_ietax(ix, iy, ie)*2 + dX;
-            photon.y += m_ietay(ix, iy, ie)*2 + dY;
-            photons.push_back(photon);
-        }
-    }else if(clusters.cluster_size_x() == 2 || clusters.cluster_size_y() == 2){
-        for (size_t i = 0; i<clusters.size(); i++){
-            auto cluster = clusters.at<Cluster2x2>(i);
-            Eta2 eta= calculate_eta2(cluster);
-    
-            Photon photon;
-            photon.x = cluster.x;
-            photon.y = cluster.y;
-            photon.energy = eta.sum;
-    
-            //Now do some actual interpolation. 
-            //Find which energy bin the cluster is in
-            // auto ie = nearest_index(m_energy_bins, photon.energy)-1;
-            // auto ix = nearest_index(m_etabinsx, eta.x)-1;
-            // auto iy = nearest_index(m_etabinsy, eta.y)-1;  
-            //Finding the index of the last element that is smaller
-            //should work fine as long as we have many bins
-            auto ie = last_smaller(m_energy_bins, photon.energy);
-            auto ix = last_smaller(m_etabinsx, eta.x);
-            auto iy = last_smaller(m_etabinsy, eta.y); 
-
-            photon.x += m_ietax(ix, iy, ie)*2; //eta goes between 0 and 1 but we could move the hit anywhere in the 2x2
-            photon.y += m_ietay(ix, iy, ie)*2;
-            photons.push_back(photon);
-        }
-        
-    }else{
-        throw std::runtime_error("Only 3x3 and 2x2 clusters are supported for interpolation");
-    }
-  
-
-    return photons;
-}
-
->>>>>>> developer
 } // namespace aare