mirror of
https://github.com/slsdetectorgroup/aare.git
synced 2025-06-12 07:17:13 +02:00
modified read_n also for File and RawFile
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@ -21,9 +21,9 @@ void define_cluster_finder_bindings(py::module &m) {
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})
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.def("pedestal",
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[](ClusterFinder<uint16_t, double> &self) {
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auto m = new NDArray<double, 2>{};
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*m = self.pedestal();
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return return_image_data(m);
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auto pd = new NDArray<double, 2>{};
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*pd = self.pedestal();
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return return_image_data(pd);
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})
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.def("find_clusters_without_threshold",
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[](ClusterFinder<uint16_t, double> &self,
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57
python/src/ctb_raw_file.hpp
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57
python/src/ctb_raw_file.hpp
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@ -0,0 +1,57 @@
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#include "aare/CtbRawFile.hpp"
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#include "aare/File.hpp"
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#include "aare/Frame.hpp"
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#include "aare/RawFile.hpp"
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#include "aare/RawMasterFile.hpp"
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#include "aare/RawSubFile.hpp"
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#include "aare/defs.hpp"
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// #include "aare/fClusterFileV2.hpp"
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#include <cstdint>
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#include <filesystem>
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#include <pybind11/iostream.h>
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#include <pybind11/numpy.h>
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include <pybind11/stl/filesystem.h>
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#include <string>
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namespace py = pybind11;
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using namespace ::aare;
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void define_ctb_raw_file_io_bindings(py::module &m) {
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py::class_<CtbRawFile>(m, "CtbRawFile")
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.def(py::init<const std::filesystem::path &>())
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.def("read_frame",
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[](CtbRawFile &self) {
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size_t image_size = self.image_size_in_bytes();
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py::array image;
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std::vector<ssize_t> shape;
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shape.reserve(2);
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shape.push_back(1);
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shape.push_back(image_size);
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py::array_t<DetectorHeader> header(1);
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// always read bytes
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image = py::array_t<uint8_t>(shape);
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self.read_into(
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reinterpret_cast<std::byte *>(image.mutable_data()),
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header.mutable_data());
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return py::make_tuple(header, image);
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})
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.def("seek", &CtbRawFile::seek)
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.def("tell", &CtbRawFile::tell)
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.def("master", &CtbRawFile::master)
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.def_property_readonly("image_size_in_bytes",
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&CtbRawFile::image_size_in_bytes)
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.def_property_readonly("frames_in_file", &CtbRawFile::frames_in_file);
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}
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@ -38,36 +38,7 @@ void define_file_io_bindings(py::module &m) {
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bunchId, timestamp, modId, row, column, reserved,
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debug, roundRNumber, detType, version, packetMask);
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py::class_<CtbRawFile>(m, "CtbRawFile")
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.def(py::init<const std::filesystem::path &>())
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.def("read_frame",
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[](CtbRawFile &self) {
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size_t image_size = self.image_size_in_bytes();
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py::array image;
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std::vector<ssize_t> shape;
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shape.reserve(2);
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shape.push_back(1);
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shape.push_back(image_size);
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py::array_t<DetectorHeader> header(1);
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// always read bytes
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image = py::array_t<uint8_t>(shape);
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self.read_into(
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reinterpret_cast<std::byte *>(image.mutable_data()),
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header.mutable_data());
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return py::make_tuple(header, image);
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})
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.def("seek", &CtbRawFile::seek)
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.def("tell", &CtbRawFile::tell)
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.def("master", &CtbRawFile::master)
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.def_property_readonly("image_size_in_bytes",
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&CtbRawFile::image_size_in_bytes)
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.def_property_readonly("frames_in_file", &CtbRawFile::frames_in_file);
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py::class_<File>(m, "File")
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.def(py::init([](const std::filesystem::path &fname) {
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@ -133,13 +104,15 @@ void define_file_io_bindings(py::module &m) {
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return image;
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})
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.def("read_n", [](File &self, size_t n_frames) {
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const uint8_t item_size = self.bytes_per_pixel();
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//adjust for actual frames left in the file
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n_frames = std::min(n_frames, self.total_frames()-self.tell());
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if(n_frames == 0){
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throw std::runtime_error("No frames left in file");
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}
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std::vector<size_t> shape{n_frames, self.rows(), self.cols()};
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py::array image;
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std::vector<ssize_t> shape;
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shape.reserve(3);
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shape.push_back(n_frames);
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shape.push_back(self.rows());
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shape.push_back(self.cols());
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const uint8_t item_size = self.bytes_per_pixel();
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if (item_size == 1) {
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image = py::array_t<uint8_t>(shape);
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} else if (item_size == 2) {
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@ -1,6 +1,7 @@
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//Files with bindings to the different classes
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#include "file.hpp"
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#include "raw_file.hpp"
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#include "ctb_raw_file.hpp"
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#include "raw_master_file.hpp"
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#include "var_cluster.hpp"
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#include "pixel_map.hpp"
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@ -17,6 +18,7 @@ namespace py = pybind11;
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PYBIND11_MODULE(_aare, m) {
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define_file_io_bindings(m);
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define_raw_file_io_bindings(m);
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define_ctb_raw_file_io_bindings(m);
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define_raw_master_file_bindings(m);
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define_var_cluster_finder_bindings(m);
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define_pixel_map_bindings(m);
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@ -15,19 +15,19 @@ template <typename SUM_TYPE> void define_pedestal_bindings(py::module &m, const
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.def(py::init<int, int>())
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.def("mean",
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[](Pedestal<SUM_TYPE> &self) {
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auto m = new NDArray<SUM_TYPE, 2>{};
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*m = self.mean();
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return return_image_data(m);
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auto mea = new NDArray<SUM_TYPE, 2>{};
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*mea = self.mean();
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return return_image_data(mea);
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})
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.def("variance", [](Pedestal<SUM_TYPE> &self) {
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auto m = new NDArray<SUM_TYPE, 2>{};
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*m = self.variance();
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return return_image_data(m);
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auto var = new NDArray<SUM_TYPE, 2>{};
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*var = self.variance();
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return return_image_data(var);
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})
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.def("std", [](Pedestal<SUM_TYPE> &self) {
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auto m = new NDArray<SUM_TYPE, 2>{};
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*m = self.std();
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return return_image_data(m);
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auto std = new NDArray<SUM_TYPE, 2>{};
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*std = self.std();
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return return_image_data(std);
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})
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.def("clear", py::overload_cast<>(&Pedestal<SUM_TYPE>::clear))
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.def_property_readonly("rows", &Pedestal<SUM_TYPE>::rows)
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@ -48,32 +48,44 @@ void define_raw_file_io_bindings(py::module &m) {
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return py::make_tuple(header, image);
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})
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.def("read_n",
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[](RawFile &self, size_t n_frames) {
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py::array image;
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std::vector<ssize_t> shape;
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shape.reserve(3);
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shape.push_back(n_frames);
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shape.push_back(self.rows());
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shape.push_back(self.cols());
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.def(
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"read_n",
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[](RawFile &self, size_t n_frames) {
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// adjust for actual frames left in the file
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n_frames =
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std::min(n_frames, self.total_frames() - self.tell());
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if (n_frames == 0) {
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throw std::runtime_error("No frames left in file");
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}
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std::vector<size_t> shape{n_frames, self.rows(), self.cols()};
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// return headers from all subfiles
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py::array_t<DetectorHeader> header;
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if (self.n_mod() == 1) {
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header = py::array_t<DetectorHeader>(n_frames);
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} else {
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header = py::array_t<DetectorHeader>({self.n_mod(), n_frames});
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}
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// py::array_t<DetectorHeader> header({self.n_mod(), n_frames});
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// return headers from all subfiles
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py::array_t<DetectorHeader> header({self.n_mod(), n_frames});
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py::array image;
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const uint8_t item_size = self.bytes_per_pixel();
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if (item_size == 1) {
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image = py::array_t<uint8_t>(shape);
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} else if (item_size == 2) {
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image = py::array_t<uint16_t>(shape);
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} else if (item_size == 4) {
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image = py::array_t<uint32_t>(shape);
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}
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self.read_into(
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reinterpret_cast<std::byte *>(image.mutable_data()),
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n_frames, header.mutable_data());
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const uint8_t item_size = self.bytes_per_pixel();
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if (item_size == 1) {
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image = py::array_t<uint8_t>(shape);
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} else if (item_size == 2) {
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image = py::array_t<uint16_t>(shape);
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} else if (item_size == 4) {
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image = py::array_t<uint32_t>(shape);
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}
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self.read_into(
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reinterpret_cast<std::byte *>(image.mutable_data()),
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n_frames, header.mutable_data());
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return py::make_tuple(header, image);
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})
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return py::make_tuple(header, image);
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},
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R"(
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Read n frames from the file.
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)")
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.def("frame_number", &RawFile::frame_number)
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.def_property_readonly("bytes_per_frame", &RawFile::bytes_per_frame)
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.def_property_readonly("pixels_per_frame", &RawFile::pixels_per_frame)
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