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This commit is contained in:
Mazzoleni Alice Francesca
2025-04-10 09:21:50 +02:00
36 changed files with 1685 additions and 54 deletions

396
src/ClusterFile.cpp Normal file
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@ -0,0 +1,396 @@
#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

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@ -8,10 +8,9 @@
using aare::Cluster;
using aare::ClusterFile;
TEST_CASE("Read one frame from a a cluster file", "[.integration]") {
TEST_CASE("Read one frame from a a cluster file", "[.files]") {
// We know that the frame has 97 clusters
auto fpath =
test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
auto fpath = test_data_path() / "clust" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
ClusterFile<Cluster<int32_t, 3, 3>> f(fpath);
@ -20,10 +19,9 @@ TEST_CASE("Read one frame from a a cluster file", "[.integration]") {
REQUIRE(clusters.frame_number() == 135);
}
TEST_CASE("Read one frame using ROI", "[.integration]") {
TEST_CASE("Read one frame using ROI", "[.files]") {
// We know that the frame has 97 clusters
auto fpath =
test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
auto fpath = test_data_path() / "clust" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
ClusterFile<Cluster<int32_t, 3, 3>> f(fpath);
@ -47,10 +45,9 @@ TEST_CASE("Read one frame using ROI", "[.integration]") {
}
}
TEST_CASE("Read clusters from single frame file", "[.integration]") {
TEST_CASE("Read clusters from single frame file", "[.files]") {
auto fpath =
test_data_path() / "clusters" / "single_frame_97_clustrers.clust";
auto fpath = test_data_path() / "clust" / "single_frame_97_clustrers.clust";
REQUIRE(std::filesystem::exists(fpath));
SECTION("Read fewer clusters than available") {

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@ -1,4 +1,5 @@
#include "aare/File.hpp"
#include "aare/JungfrauDataFile.hpp"
#include "aare/NumpyFile.hpp"
#include "aare/RawFile.hpp"
@ -27,6 +28,8 @@ File::File(const std::filesystem::path &fname, const std::string &mode,
else if (fname.extension() == ".npy") {
// file_impl = new NumpyFile(fname, mode, cfg);
file_impl = std::make_unique<NumpyFile>(fname, mode, cfg);
}else if(fname.extension() == ".dat"){
file_impl = std::make_unique<JungfrauDataFile>(fname);
} else {
throw std::runtime_error("Unsupported file type");
}

44
src/FilePtr.cpp Normal file
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@ -0,0 +1,44 @@
#include "aare/FilePtr.hpp"
#include <fmt/format.h>
#include <stdexcept>
#include <utility>
namespace aare {
FilePtr::FilePtr(const std::filesystem::path& fname, const std::string& mode = "rb") {
fp_ = fopen(fname.c_str(), mode.c_str());
if (!fp_)
throw std::runtime_error(fmt::format("Could not open: {}", fname.c_str()));
}
FilePtr::FilePtr(FilePtr &&other) { std::swap(fp_, other.fp_); }
FilePtr &FilePtr::operator=(FilePtr &&other) {
std::swap(fp_, other.fp_);
return *this;
}
FILE *FilePtr::get() { return fp_; }
int64_t FilePtr::tell() {
auto pos = ftell(fp_);
if (pos == -1)
throw std::runtime_error(fmt::format("Error getting file position: {}", error_msg()));
return pos;
}
FilePtr::~FilePtr() {
if (fp_)
fclose(fp_); // check?
}
std::string FilePtr::error_msg(){
if (feof(fp_)) {
return "End of file reached";
}
if (ferror(fp_)) {
return fmt::format("Error reading file: {}", std::strerror(errno));
}
return "";
}
} // namespace aare

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@ -18,7 +18,7 @@ double gaus(const double x, const double *par) {
NDArray<double, 1> gaus(NDView<double, 1> x, NDView<double, 1> par) {
NDArray<double, 1> y({x.shape(0)}, 0);
for (size_t i = 0; i < x.size(); i++) {
for (ssize_t i = 0; i < x.size(); i++) {
y(i) = gaus(x(i), par.data());
}
return y;
@ -28,7 +28,7 @@ double pol1(const double x, const double *par) { return par[0] * x + par[1]; }
NDArray<double, 1> pol1(NDView<double, 1> x, NDView<double, 1> par) {
NDArray<double, 1> y({x.shape()}, 0);
for (size_t i = 0; i < x.size(); i++) {
for (ssize_t i = 0; i < x.size(); i++) {
y(i) = pol1(x(i), par.data());
}
return y;
@ -153,7 +153,7 @@ void fit_gaus(NDView<double, 1> x, NDView<double, 1> y, NDView<double, 1> y_err,
// Calculate chi2
chi2 = 0;
for (size_t i = 0; i < y.size(); i++) {
for (ssize_t i = 0; i < y.size(); i++) {
chi2 += std::pow((y(i) - func::gaus(x(i), par_out.data())) / y_err(i), 2);
}
}
@ -205,7 +205,7 @@ void fit_pol1(NDView<double, 1> x, NDView<double, 1> y, NDView<double, 1> y_err,
// Calculate chi2
chi2 = 0;
for (size_t i = 0; i < y.size(); i++) {
for (ssize_t i = 0; i < y.size(); i++) {
chi2 += std::pow((y(i) - func::pol1(x(i), par_out.data())) / y_err(i), 2);
}
}

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@ -53,4 +53,90 @@ 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

238
src/JungfrauDataFile.cpp Normal file
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@ -0,0 +1,238 @@
#include "aare/JungfrauDataFile.hpp"
#include "aare/algorithm.hpp"
#include "aare/defs.hpp"
#include <cerrno>
#include <fmt/format.h>
namespace aare {
JungfrauDataFile::JungfrauDataFile(const std::filesystem::path &fname) {
if (!std::filesystem::exists(fname)) {
throw std::runtime_error(LOCATION +
"File does not exist: " + fname.string());
}
find_frame_size(fname);
parse_fname(fname);
scan_files();
open_file(m_current_file_index);
}
// FileInterface
Frame JungfrauDataFile::read_frame(){
Frame f(rows(), cols(), Dtype::UINT16);
read_into(reinterpret_cast<std::byte *>(f.data()), nullptr);
return f;
}
Frame JungfrauDataFile::read_frame(size_t frame_number){
seek(frame_number);
Frame f(rows(), cols(), Dtype::UINT16);
read_into(reinterpret_cast<std::byte *>(f.data()), nullptr);
return f;
}
std::vector<Frame> JungfrauDataFile::read_n(size_t n_frames) {
std::vector<Frame> frames;
for(size_t i = 0; i < n_frames; ++i){
frames.push_back(read_frame());
}
return frames;
}
void JungfrauDataFile::read_into(std::byte *image_buf) {
read_into(image_buf, nullptr);
}
void JungfrauDataFile::read_into(std::byte *image_buf, size_t n_frames) {
read_into(image_buf, n_frames, nullptr);
}
size_t JungfrauDataFile::frame_number(size_t frame_index) {
seek(frame_index);
return read_header().framenum;
}
std::array<ssize_t, 2> JungfrauDataFile::shape() const {
return {static_cast<ssize_t>(rows()), static_cast<ssize_t>(cols())};
}
DetectorType JungfrauDataFile::detector_type() const { return DetectorType::Jungfrau; }
std::string JungfrauDataFile::base_name() const { return m_base_name; }
size_t JungfrauDataFile::bytes_per_frame() { return m_bytes_per_frame; }
size_t JungfrauDataFile::pixels_per_frame() { return m_rows * m_cols; }
size_t JungfrauDataFile::bytes_per_pixel() const { return sizeof(pixel_type); }
size_t JungfrauDataFile::bitdepth() const {
return bytes_per_pixel() * bits_per_byte;
}
void JungfrauDataFile::seek(size_t frame_index) {
if (frame_index >= m_total_frames) {
throw std::runtime_error(LOCATION + "Frame index out of range: " +
std::to_string(frame_index));
}
m_current_frame_index = frame_index;
auto file_index = first_larger(m_last_frame_in_file, frame_index);
if (file_index != m_current_file_index)
open_file(file_index);
auto frame_offset = (file_index)
? frame_index - m_last_frame_in_file[file_index - 1]
: frame_index;
auto byte_offset = frame_offset * (m_bytes_per_frame + header_size);
m_fp.seek(byte_offset);
};
size_t JungfrauDataFile::tell() { return m_current_frame_index; }
size_t JungfrauDataFile::total_frames() const { return m_total_frames; }
size_t JungfrauDataFile::rows() const { return m_rows; }
size_t JungfrauDataFile::cols() const { return m_cols; }
size_t JungfrauDataFile::n_files() const { return m_last_frame_in_file.size(); }
void JungfrauDataFile::find_frame_size(const std::filesystem::path &fname) {
static constexpr size_t module_data_size =
header_size + sizeof(pixel_type) * 512 * 1024;
static constexpr size_t half_data_size =
header_size + sizeof(pixel_type) * 256 * 1024;
static constexpr size_t chip_data_size =
header_size + sizeof(pixel_type) * 256 * 256;
auto file_size = std::filesystem::file_size(fname);
if (file_size == 0) {
throw std::runtime_error(LOCATION +
"Cannot guess frame size: file is empty");
}
if (file_size % module_data_size == 0) {
m_rows = 512;
m_cols = 1024;
m_bytes_per_frame = module_data_size - header_size;
} else if (file_size % half_data_size == 0) {
m_rows = 256;
m_cols = 1024;
m_bytes_per_frame = half_data_size - header_size;
} else if (file_size % chip_data_size == 0) {
m_rows = 256;
m_cols = 256;
m_bytes_per_frame = chip_data_size - header_size;
} else {
throw std::runtime_error(LOCATION +
"Cannot find frame size: file size is not a "
"multiple of any known frame size");
}
}
void JungfrauDataFile::parse_fname(const std::filesystem::path &fname) {
m_path = fname.parent_path();
m_base_name = fname.stem();
// find file index, then remove if from the base name
if (auto pos = m_base_name.find_last_of('_'); pos != std::string::npos) {
m_offset = std::stoul(m_base_name.substr(pos + 1));
m_base_name.erase(pos);
}
}
void JungfrauDataFile::scan_files() {
// find how many files we have and the number of frames in each file
m_last_frame_in_file.clear();
size_t file_index = m_offset;
while (std::filesystem::exists(fpath(file_index))) {
auto n_frames = std::filesystem::file_size(fpath(file_index)) /
(m_bytes_per_frame + header_size);
m_last_frame_in_file.push_back(n_frames);
++file_index;
}
// find where we need to open the next file and total number of frames
m_last_frame_in_file = cumsum(m_last_frame_in_file);
m_total_frames = m_last_frame_in_file.back();
}
void JungfrauDataFile::read_into(std::byte *image_buf,
JungfrauDataHeader *header) {
// read header if not passed nullptr
if (header) {
if (auto rc = fread(header, sizeof(JungfrauDataHeader), 1, m_fp.get());
rc != 1) {
throw std::runtime_error(
LOCATION +
"Could not read header from file:" + m_fp.error_msg());
}
} else {
m_fp.seek(header_size, SEEK_CUR);
}
// read data
if (auto rc = fread(image_buf, 1, m_bytes_per_frame, m_fp.get());
rc != m_bytes_per_frame) {
throw std::runtime_error(LOCATION + "Could not read image from file" +
m_fp.error_msg());
}
// prepare for next read
// if we are at the end of the file, open the next file
++m_current_frame_index;
if (m_current_frame_index >= m_last_frame_in_file[m_current_file_index] &&
(m_current_frame_index < m_total_frames)) {
++m_current_file_index;
open_file(m_current_file_index);
}
}
void JungfrauDataFile::read_into(std::byte *image_buf, size_t n_frames,
JungfrauDataHeader *header) {
if (header) {
for (size_t i = 0; i < n_frames; ++i)
read_into(image_buf + i * m_bytes_per_frame, header + i);
}else{
for (size_t i = 0; i < n_frames; ++i)
read_into(image_buf + i * m_bytes_per_frame, nullptr);
}
}
void JungfrauDataFile::read_into(NDArray<uint16_t>* image, JungfrauDataHeader* header) {
if(image->shape()!=shape()){
throw std::runtime_error(LOCATION +
"Image shape does not match file size: " + std::to_string(rows()) + "x" + std::to_string(cols()));
}
read_into(reinterpret_cast<std::byte *>(image->data()), header);
}
JungfrauDataHeader JungfrauDataFile::read_header() {
JungfrauDataHeader header;
if (auto rc = fread(&header, 1, sizeof(header), m_fp.get());
rc != sizeof(header)) {
throw std::runtime_error(LOCATION + "Could not read header from file" +
m_fp.error_msg());
}
m_fp.seek(-header_size, SEEK_CUR);
return header;
}
void JungfrauDataFile::open_file(size_t file_index) {
// fmt::print(stderr, "Opening file: {}\n",
// fpath(file_index+m_offset).string());
m_fp = FilePtr(fpath(file_index + m_offset), "rb");
m_current_file_index = file_index;
}
std::filesystem::path JungfrauDataFile::fpath(size_t file_index) const {
auto fname = fmt::format("{}_{:0{}}.dat", m_base_name, file_index,
n_digits_in_file_index);
return m_path / fname;
}
} // namespace aare

View File

@ -0,0 +1,114 @@
#include "aare/JungfrauDataFile.hpp"
#include <catch2/catch_test_macros.hpp>
#include "test_config.hpp"
using aare::JungfrauDataFile;
using aare::JungfrauDataHeader;
TEST_CASE("Open a Jungfrau data file", "[.files]") {
//we know we have 4 files with 7, 7, 7, and 3 frames
//firs frame number if 1 and the bunch id is frame_number**2
//so we can check the header
auto fpath = test_data_path() / "dat" / "AldoJF500k_000000.dat";
REQUIRE(std::filesystem::exists(fpath));
JungfrauDataFile f(fpath);
REQUIRE(f.rows() == 512);
REQUIRE(f.cols() == 1024);
REQUIRE(f.bytes_per_frame() == 1048576);
REQUIRE(f.pixels_per_frame() == 524288);
REQUIRE(f.bytes_per_pixel() == 2);
REQUIRE(f.bitdepth() == 16);
REQUIRE(f.base_name() == "AldoJF500k");
REQUIRE(f.n_files() == 4);
REQUIRE(f.tell() == 0);
REQUIRE(f.total_frames() == 24);
REQUIRE(f.current_file() == fpath);
//Check that the frame number and buch id is read correctly
for (size_t i = 0; i < 24; ++i) {
JungfrauDataHeader header;
aare::NDArray<uint16_t> image(f.shape());
f.read_into(&image, &header);
REQUIRE(header.framenum == i + 1);
REQUIRE(header.bunchid == (i + 1) * (i + 1));
REQUIRE(image.shape(0) == 512);
REQUIRE(image.shape(1) == 1024);
}
}
TEST_CASE("Seek in a JungfrauDataFile", "[.files]"){
auto fpath = test_data_path() / "dat" / "AldoJF65k_000000.dat";
REQUIRE(std::filesystem::exists(fpath));
JungfrauDataFile f(fpath);
//The file should have 113 frames
f.seek(19);
REQUIRE(f.tell() == 19);
auto h = f.read_header();
REQUIRE(h.framenum == 19+1);
//Reading again does not change the file pointer
auto h2 = f.read_header();
REQUIRE(h2.framenum == 19+1);
f.seek(59);
REQUIRE(f.tell() == 59);
auto h3 = f.read_header();
REQUIRE(h3.framenum == 59+1);
JungfrauDataHeader h4;
aare::NDArray<uint16_t> image(f.shape());
f.read_into(&image, &h4);
REQUIRE(h4.framenum == 59+1);
//now we should be on the next frame
REQUIRE(f.tell() == 60);
REQUIRE(f.read_header().framenum == 60+1);
REQUIRE_THROWS(f.seek(86356)); //out of range
}
TEST_CASE("Open a Jungfrau data file with non zero file index", "[.files]"){
auto fpath = test_data_path() / "dat" / "AldoJF65k_000003.dat";
REQUIRE(std::filesystem::exists(fpath));
JungfrauDataFile f(fpath);
//18 files per data file, opening the 3rd file we ignore the first 3
REQUIRE(f.total_frames() == 113-18*3);
REQUIRE(f.tell() == 0);
//Frame numbers start at 1 in the first file
REQUIRE(f.read_header().framenum == 18*3+1);
// moving relative to the third file
f.seek(5);
REQUIRE(f.read_header().framenum == 18*3+1+5);
// ignoring the first 3 files
REQUIRE(f.n_files() == 4);
REQUIRE(f.current_file().stem() == "AldoJF65k_000003");
}
TEST_CASE("Read into throws if size doesn't match", "[.files]"){
auto fpath = test_data_path() / "dat" / "AldoJF65k_000000.dat";
REQUIRE(std::filesystem::exists(fpath));
JungfrauDataFile f(fpath);
aare::NDArray<uint16_t> image({39, 85});
JungfrauDataHeader header;
REQUIRE_THROWS(f.read_into(&image, &header));
REQUIRE_THROWS(f.read_into(&image, nullptr));
REQUIRE_THROWS(f.read_into(&image));
REQUIRE(f.tell() == 0);
}

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@ -183,14 +183,14 @@ TEST_CASE("Size and shape matches") {
int64_t h = 75;
std::array<int64_t, 2> shape{w, h};
NDArray<double> a{shape};
REQUIRE(a.size() == static_cast<uint64_t>(w * h));
REQUIRE(a.size() == w * h);
REQUIRE(a.shape() == shape);
}
TEST_CASE("Initial value matches for all elements") {
double v = 4.35;
NDArray<double> a{{5, 5}, v};
for (uint32_t i = 0; i < a.size(); ++i) {
for (int i = 0; i < a.size(); ++i) {
REQUIRE(a(i) == v);
}
}

View File

@ -5,7 +5,7 @@
TEST_CASE("Find the closed index in a 1D array", "[algorithm]") {
aare::NDArray<double, 1> arr({5});
for (size_t i = 0; i < arr.size(); i++) {
for (ssize_t i = 0; i < arr.size(); i++) {
arr[i] = i;
}
// arr 0, 1, 2, 3, 4
@ -18,7 +18,7 @@ TEST_CASE("Find the closed index in a 1D array", "[algorithm]") {
TEST_CASE("Passing integers to nearest_index works", "[algorithm]") {
aare::NDArray<int, 1> arr({5});
for (size_t i = 0; i < arr.size(); i++) {
for (ssize_t i = 0; i < arr.size(); i++) {
arr[i] = i;
}
// arr 0, 1, 2, 3, 4
@ -47,9 +47,22 @@ TEST_CASE("nearest index works with std::array", "[algorithm]") {
REQUIRE(aare::nearest_index(arr, -10.0) == 0);
}
TEST_CASE("nearest index when there is no different uses the first element",
"[algorithm]") {
std::vector<int> vec = {5, 5, 5, 5, 5};
REQUIRE(aare::nearest_index(vec, 5) == 0);
}
TEST_CASE("nearest index when there is no different uses the first element "
"also when all smaller",
"[algorithm]") {
std::vector<int> vec = {5, 5, 5, 5, 5};
REQUIRE(aare::nearest_index(vec, 10) == 0);
}
TEST_CASE("last smaller", "[algorithm]") {
aare::NDArray<double, 1> arr({5});
for (size_t i = 0; i < arr.size(); i++) {
for (ssize_t i = 0; i < arr.size(); i++) {
arr[i] = i;
}
// arr 0, 1, 2, 3, 4
@ -61,9 +74,89 @@ TEST_CASE("last smaller", "[algorithm]") {
TEST_CASE("returns last bin strictly smaller", "[algorithm]") {
aare::NDArray<double, 1> arr({5});
for (size_t i = 0; i < arr.size(); i++) {
for (ssize_t i = 0; i < arr.size(); i++) {
arr[i] = i;
}
// arr 0, 1, 2, 3, 4
REQUIRE(aare::last_smaller(arr, 2.0) == 2);
}
REQUIRE(aare::last_smaller(arr, 2.0) == 1);
}
TEST_CASE("last_smaller with all elements smaller returns last element",
"[algorithm]") {
aare::NDArray<double, 1> arr({5});
for (ssize_t i = 0; i < arr.size(); i++) {
arr[i] = i;
}
// arr 0, 1, 2, 3, 4
REQUIRE(aare::last_smaller(arr, 50.) == 4);
}
TEST_CASE("last_smaller with all elements bigger returns first element",
"[algorithm]") {
aare::NDArray<double, 1> arr({5});
for (ssize_t i = 0; i < arr.size(); i++) {
arr[i] = i;
}
// arr 0, 1, 2, 3, 4
REQUIRE(aare::last_smaller(arr, -50.) == 0);
}
TEST_CASE("last smaller with all elements equal returns the first element",
"[algorithm]") {
std::vector<int> vec = {5, 5, 5, 5, 5, 5, 5};
REQUIRE(aare::last_smaller(vec, 5) == 0);
}
TEST_CASE("first_lager with vector", "[algorithm]") {
std::vector<double> vec = {0, 1, 2, 3, 4};
REQUIRE(aare::first_larger(vec, 2.5) == 3);
}
TEST_CASE("first_lager with all elements smaller returns last element",
"[algorithm]") {
std::vector<double> vec = {0, 1, 2, 3, 4};
REQUIRE(aare::first_larger(vec, 50.) == 4);
}
TEST_CASE("first_lager with all elements bigger returns first element",
"[algorithm]") {
std::vector<double> vec = {0, 1, 2, 3, 4};
REQUIRE(aare::first_larger(vec, -50.) == 0);
}
TEST_CASE("first_lager with all elements the same as the check returns last",
"[algorithm]") {
std::vector<int> vec = {14, 14, 14, 14, 14};
REQUIRE(aare::first_larger(vec, 14) == 4);
}
TEST_CASE("first larger with the same element", "[algorithm]") {
std::vector<int> vec = {7, 8, 9, 10, 11};
REQUIRE(aare::first_larger(vec, 9) == 3);
}
TEST_CASE("cumsum works", "[algorithm]") {
std::vector<double> vec = {0, 1, 2, 3, 4};
auto result = aare::cumsum(vec);
REQUIRE(result.size() == vec.size());
REQUIRE(result[0] == 0);
REQUIRE(result[1] == 1);
REQUIRE(result[2] == 3);
REQUIRE(result[3] == 6);
REQUIRE(result[4] == 10);
}
TEST_CASE("cumsum works with empty vector", "[algorithm]") {
std::vector<double> vec = {};
auto result = aare::cumsum(vec);
REQUIRE(result.size() == 0);
}
TEST_CASE("cumsum works with negative numbers", "[algorithm]") {
std::vector<double> vec = {0, -1, -2, -3, -4};
auto result = aare::cumsum(vec);
REQUIRE(result.size() == vec.size());
REQUIRE(result[0] == 0);
REQUIRE(result[1] == -1);
REQUIRE(result[2] == -3);
REQUIRE(result[3] == -6);
REQUIRE(result[4] == -10);
}