mirror of
https://github.com/slsdetectorgroup/aare.git
synced 2025-06-03 19:40:40 +02:00
modified read_n also for File and RawFile
This commit is contained in:
parent
996a8861f6
commit
8bf9ac55ce
@ -28,8 +28,10 @@ target_link_libraries(_aare PRIVATE aare_core aare_compiler_flags)
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set( PYTHON_FILES
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aare/__init__.py
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aare/CtbRawFile.py
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aare/RawFile.py
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aare/transform.py
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aare/ScanParameters.py
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aare/utils.py
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)
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# Copy the python files to the build directory
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@ -8,14 +8,15 @@ class CtbRawFile(_aare.CtbRawFile):
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Args:
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fname (pathlib.Path | str): Path to the file to be read.
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chunk_size (int): Number of frames to read at a time. Default is 1.
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transform (function): Function to apply to the data after reading it.
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The function should take a numpy array of type uint8 and return one
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or several numpy arrays.
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"""
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def __init__(self, fname, transform = None, chunk_size = 1):
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def __init__(self, fname, chunk_size = 1, transform = None):
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super().__init__(fname)
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self.transform = transform
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self._chunk_size = chunk_size
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self._transform = transform
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def read_frame(self, frame_index: int | None = None ) -> tuple:
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@ -44,8 +45,8 @@ class CtbRawFile(_aare.CtbRawFile):
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header = header[0]
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if self.transform:
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res = self.transform(data)
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if self._transform:
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res = self._transform(data)
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if isinstance(res, tuple):
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return header, *res
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else:
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66
python/aare/RawFile.py
Normal file
66
python/aare/RawFile.py
Normal file
@ -0,0 +1,66 @@
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from . import _aare
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import numpy as np
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from .ScanParameters import ScanParameters
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class RawFile(_aare.RawFile):
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def __init__(self, fname, chunk_size = 1):
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super().__init__(fname)
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self._chunk_size = chunk_size
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def read(self) -> tuple:
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"""Read the entire file.
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Seeks to the beginning of the file before reading.
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Returns:
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tuple: header, data
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"""
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self.seek(0)
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return self.read_n(self.total_frames)
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@property
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def scan_parameters(self):
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"""Return the scan parameters.
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Returns:
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ScanParameters: Scan parameters.
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"""
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return ScanParameters(self.master.scan_parameters)
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@property
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def master(self):
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"""Return the master file.
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Returns:
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RawMasterFile: Master file.
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"""
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return super().master()
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def __len__(self) -> int:
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"""Return the number of frames in the file.
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Returns:
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int: Number of frames in file.
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"""
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return super().frames_in_file
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def __enter__(self):
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return self
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def __exit__(self, exc_type, exc_value, traceback):
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pass
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def __iter__(self):
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return self
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def __next__(self):
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try:
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if self._chunk_size == 1:
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return self.read_frame()
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else:
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return self.read_n(self._chunk_size)
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except RuntimeError:
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# TODO! find a good way to check that we actually have the right exception
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raise StopIteration
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@ -2,10 +2,13 @@
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from . import _aare
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from ._aare import File, RawFile, RawMasterFile, RawSubFile
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from ._aare import File, RawMasterFile, RawSubFile
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from ._aare import Pedestal, ClusterFinder, VarClusterFinder
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from ._aare import DetectorType
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from ._aare import ClusterFile
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from .CtbRawFile import CtbRawFile
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from .ScanParameters import ScanParameters
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from .RawFile import RawFile
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from .ScanParameters import ScanParameters
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from .utils import random_pixels, random_pixel
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23
python/aare/utils.py
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23
python/aare/utils.py
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@ -0,0 +1,23 @@
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import numpy as np
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def random_pixels(n_pixels, xmin=0, xmax=512, ymin=0, ymax=1024):
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"""Return a list of random pixels.
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Args:
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n_pixels (int): Number of pixels to return.
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rows (int): Number of rows in the image.
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cols (int): Number of columns in the image.
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Returns:
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list: List of (row, col) tuples.
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"""
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return [(np.random.randint(ymin, ymax), np.random.randint(xmin, xmax)) for _ in range(n_pixels)]
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def random_pixel(xmin=0, xmax=512, ymin=0, ymax=1024):
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"""Return a random pixel.
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Returns:
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tuple: (row, col)
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"""
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return random_pixels(1, xmin, xmax, ymin, ymax)[0]
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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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