mirror of
https://github.com/slsdetectorgroup/aare.git
synced 2025-06-11 06:47:14 +02:00
Making RawSubFile usable from Python (#158)
- Removed a printout left from debugging - return also header when reading - added read_n - check for error in ifstream
This commit is contained in:
@ -20,6 +20,9 @@
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namespace py = pybind11;
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using namespace ::aare;
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//Disable warnings for unused parameters, as we ignore some
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//in the __exit__ method
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#pragma GCC diagnostic push
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@ -214,36 +217,9 @@ void define_file_io_bindings(py::module &m) {
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py::class_<RawSubFile>(m, "RawSubFile")
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.def(py::init<const std::filesystem::path &, DetectorType, size_t,
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size_t, size_t>())
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.def_property_readonly("bytes_per_frame", &RawSubFile::bytes_per_frame)
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.def_property_readonly("pixels_per_frame",
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&RawSubFile::pixels_per_frame)
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.def("seek", &RawSubFile::seek)
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.def("tell", &RawSubFile::tell)
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.def_property_readonly("rows", &RawSubFile::rows)
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.def_property_readonly("cols", &RawSubFile::cols)
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.def("read_frame",
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[](RawSubFile &self) {
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const uint8_t item_size = self.bytes_per_pixel();
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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(self.rows());
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shape.push_back(self.cols());
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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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fmt::print("item_size: {} rows: {} cols: {}\n", item_size, self.rows(), self.cols());
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self.read_into(
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reinterpret_cast<std::byte *>(image.mutable_data()));
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return image;
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});
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#pragma GCC diagnostic pop
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// py::class_<ClusterHeader>(m, "ClusterHeader")
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@ -10,6 +10,7 @@
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#include "cluster_file.hpp"
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#include "fit.hpp"
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#include "interpolation.hpp"
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#include "raw_sub_file.hpp"
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#include "jungfrau_data_file.hpp"
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@ -22,6 +23,7 @@ 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_raw_sub_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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110
python/src/raw_sub_file.hpp
Normal file
110
python/src/raw_sub_file.hpp
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@ -0,0 +1,110 @@
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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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auto read_frame_from_RawSubFile(RawSubFile &self) {
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py::array_t<DetectorHeader> header(1);
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const uint8_t item_size = self.bytes_per_pixel();
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std::vector<ssize_t> shape{static_cast<ssize_t>(self.rows()),
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static_cast<ssize_t>(self.cols())};
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py::array image;
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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(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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auto read_n_frames_from_RawSubFile(RawSubFile &self, size_t n_frames) {
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py::array_t<DetectorHeader> header(n_frames);
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const uint8_t item_size = self.bytes_per_pixel();
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std::vector<ssize_t> shape{
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static_cast<ssize_t>(n_frames),
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static_cast<ssize_t>(self.rows()),
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static_cast<ssize_t>(self.cols())
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};
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py::array image;
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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(reinterpret_cast<std::byte *>(image.mutable_data()), n_frames,
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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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//Disable warnings for unused parameters, as we ignore some
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//in the __exit__ method
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#pragma GCC diagnostic push
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#pragma GCC diagnostic ignored "-Wunused-parameter"
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void define_raw_sub_file_io_bindings(py::module &m) {
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py::class_<RawSubFile>(m, "RawSubFile")
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.def(py::init<const std::filesystem::path &, DetectorType, size_t,
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size_t, size_t>())
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.def_property_readonly("bytes_per_frame", &RawSubFile::bytes_per_frame)
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.def_property_readonly("pixels_per_frame",
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&RawSubFile::pixels_per_frame)
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.def_property_readonly("bytes_per_pixel", &RawSubFile::bytes_per_pixel)
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.def("seek", &RawSubFile::seek)
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.def("tell", &RawSubFile::tell)
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.def_property_readonly("rows", &RawSubFile::rows)
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.def_property_readonly("cols", &RawSubFile::cols)
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.def_property_readonly("frames_in_file", &RawSubFile::frames_in_file)
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.def("read_frame", &read_frame_from_RawSubFile)
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.def("read_n", &read_n_frames_from_RawSubFile)
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.def("read", [](RawSubFile &self){
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self.seek(0);
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auto n_frames = self.frames_in_file();
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return read_n_frames_from_RawSubFile(self, n_frames);
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})
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.def("__enter__", [](RawSubFile &self) { return &self; })
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.def("__exit__",
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[](RawSubFile &self,
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const std::optional<pybind11::type> &exc_type,
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const std::optional<pybind11::object> &exc_value,
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const std::optional<pybind11::object> &traceback) {
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})
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.def("__iter__", [](RawSubFile &self) { return &self; })
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.def("__next__", [](RawSubFile &self) {
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try {
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return read_frame_from_RawSubFile(self);
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} catch (std::runtime_error &e) {
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throw py::stop_iteration();
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}
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});
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}
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#pragma GCC diagnostic pop
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36
python/tests/test_RawSubFile.py
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36
python/tests/test_RawSubFile.py
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@ -0,0 +1,36 @@
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import pytest
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import numpy as np
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from aare import RawSubFile, DetectorType
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@pytest.mark.files
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def test_read_a_jungfrau_RawSubFile(test_data_path):
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with RawSubFile(test_data_path / "raw/jungfrau/jungfrau_single_d0_f1_0.raw", DetectorType.Jungfrau, 512, 1024, 16) as f:
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assert f.frames_in_file == 3
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headers, frames = f.read()
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assert headers.size == 3
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assert frames.shape == (3, 512, 1024)
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# Frame numbers in this file should be 4, 5, 6
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for i,h in zip(range(4,7,1), headers):
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assert h["frameNumber"] == i
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# Compare to canned data using numpy
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data = np.load(test_data_path / "raw/jungfrau/jungfrau_single_0.npy")
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assert np.all(data[3:6] == frames)
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@pytest.mark.files
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def test_iterate_over_a_jungfrau_RawSubFile(test_data_path):
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data = np.load(test_data_path / "raw/jungfrau/jungfrau_single_0.npy")
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with RawSubFile(test_data_path / "raw/jungfrau/jungfrau_single_d0_f0_0.raw", DetectorType.Jungfrau, 512, 1024, 16) as f:
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i = 0
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for header, frame in f:
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assert header["frameNumber"] == i+1
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assert np.all(frame == data[i])
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i += 1
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assert i == 3
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assert header["frameNumber"] == 3
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