Streamlined build, new transforms (#106)

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Erik Fröjdh 2024-11-26 16:27:00 +01:00 committed by GitHub
commit 2d33fd4813
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10 changed files with 105 additions and 52 deletions

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@ -1,43 +0,0 @@
name: Build packages but don't deploy
on:
workflow_dispatch:
push:
branches:
- main
- developer
#run on PRs as well?
jobs:
build:
strategy:
fail-fast: false
matrix:
platform: [ubuntu-latest, ] # macos-12, windows-2019]
python-version: ["3.12",]
runs-on: ${{ matrix.platform }}
# The setup-miniconda action needs this to activate miniconda
defaults:
run:
shell: "bash -l {0}"
steps:
- uses: actions/checkout@v4
- name: Get conda
uses: conda-incubator/setup-miniconda@v3.0.4
with:
python-version: ${{ matrix.python-version }}
channels: conda-forge
- name: Prepare
run: conda install conda-build conda-verify pytest anaconda-client
- name: Build
env:
CONDA_TOKEN: ${{ secrets.CONDA_TOKEN }}
run: conda build conda-recipe

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@ -1,7 +1,10 @@
name: Deploy to slsdetectorgroup conda channel
name: Build pkgs and deploy if on main
on:
workflow_dispatch
push:
branches:
- main
- developer
jobs:
build:
@ -28,9 +31,10 @@ jobs:
channels: conda-forge
- name: Prepare
run: conda install conda-build conda-verify pytest anaconda-client
run: conda install conda-build=24.9 conda-verify pytest anaconda-client
- name: Enable upload
if: github.ref == 'refs/heads/main'
run: conda config --set anaconda_upload yes
- name: Build

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@ -1,6 +1,6 @@
package:
name: aare
version: 2024.11.15.dev0 #TODO! how to not duplicate this?
version: 2024.11.26.dev0 #TODO! how to not duplicate this?
source:

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@ -7,6 +7,8 @@ namespace aare {
NDArray<ssize_t, 2> GenerateMoench03PixelMap();
NDArray<ssize_t, 2> GenerateMoench05PixelMap();
NDArray<ssize_t, 2> GenerateMoench05PixelMap1g();
NDArray<ssize_t, 2> GenerateMoench05PixelMapOld();
//Matterhorn02
NDArray<ssize_t, 2>GenerateMH02SingleCounterPixelMap();

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@ -4,7 +4,7 @@ build-backend = "scikit_build_core.build"
[project]
name = "aare"
version = "2024.11.15.dev0"
version = "2024.11.26.dev0"
[tool.scikit-build]

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@ -2,6 +2,7 @@
from . import _aare
import numpy as np
from .ScanParameters import ScanParameters
class CtbRawFile(_aare.CtbRawFile):
"""File reader for the CTB raw file format.
@ -11,9 +12,10 @@ class CtbRawFile(_aare.CtbRawFile):
The function should take a numpy array of type uint8 and return one
or several numpy arrays.
"""
def __init__(self, fname, transform = None):
def __init__(self, fname, transform = None, chunk_size = 1):
super().__init__(fname)
self.transform = transform
self._chunk_size = chunk_size
def read_frame(self, frame_index: int | None = None ) -> tuple:
@ -59,6 +61,10 @@ class CtbRawFile(_aare.CtbRawFile):
Uses the position of the file pointer :py:meth:`~CtbRawFile.tell` to determine
where to start reading from.
If the number of frames requested is larger than the number of frames left in the file,
the function will read the remaining frames. If no frames are left in the file
a RuntimeError is raised.
Args:
n_frames (int): Number of frames to read.
@ -68,6 +74,12 @@ class CtbRawFile(_aare.CtbRawFile):
Raises:
RuntimeError: If EOF is reached.
"""
# Calculate the number of frames to actually read
n_frames = min(n_frames, self.frames_in_file - self.tell())
if n_frames == 0:
raise RuntimeError("No frames left in file.")
# Do the first read to figure out what we have
tmp_header, tmp_data = self.read_frame()
@ -87,10 +99,12 @@ class CtbRawFile(_aare.CtbRawFile):
def read(self) -> tuple:
"""Read the entire file.
Seeks to the beginning of the file before reading.
Returns:
tuple: header, data
"""
self.seek(0)
return self.read_n(self.frames_in_file)
def seek(self, frame_index:int) -> None:
@ -101,7 +115,7 @@ class CtbRawFile(_aare.CtbRawFile):
"""
super().seek(frame_index)
def tell() -> int:
def tell(self) -> int:
"""Return the current frame position in the file.
Returns:
@ -164,7 +178,12 @@ class CtbRawFile(_aare.CtbRawFile):
def __next__(self):
try:
return self.read_frame()
if self._chunk_size == 1:
return self.read_frame()
else:
return self.read_n(self._chunk_size)
except RuntimeError:
# TODO! find a good way to check that we actually have the right exception
raise StopIteration

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@ -9,6 +9,24 @@ class Moench05Transform:
def __call__(self, data):
return np.take(data.view(np.uint16), self.pixel_map)
class Moench05Transform1g:
#Could be moved to C++ without changing the interface
def __init__(self):
self.pixel_map = _aare.GenerateMoench05PixelMap1g()
def __call__(self, data):
return np.take(data.view(np.uint16), self.pixel_map)
class Moench05TransformOld:
#Could be moved to C++ without changing the interface
def __init__(self):
self.pixel_map = _aare.GenerateMoench05PixelMapOld()
def __call__(self, data):
return np.take(data.view(np.uint16), self.pixel_map)
class Matterhorn02Transform:
@ -25,4 +43,6 @@ class Matterhorn02Transform:
#on import generate the pixel maps to avoid doing it every time
moench05 = Moench05Transform()
moench05_1g = Moench05Transform1g()
moench05_old = Moench05TransformOld()
matterhorn02 = Matterhorn02Transform()

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@ -20,6 +20,14 @@ void define_pixel_map_bindings(py::module &m) {
.def("GenerateMoench05PixelMap", []() {
auto ptr = new NDArray<ssize_t,2>(GenerateMoench05PixelMap());
return return_image_data(ptr);
})
.def("GenerateMoench05PixelMap1g", []() {
auto ptr = new NDArray<ssize_t,2>(GenerateMoench05PixelMap1g());
return return_image_data(ptr);
})
.def("GenerateMoench05PixelMapOld", []() {
auto ptr = new NDArray<ssize_t,2>(GenerateMoench05PixelMapOld());
return return_image_data(ptr);
})
.def("GenerateMH02SingleCounterPixelMap", []() {
auto ptr = new NDArray<ssize_t,2>(GenerateMH02SingleCounterPixelMap());

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@ -16,7 +16,7 @@ CtbRawFile::CtbRawFile(const std::filesystem::path &fname) : m_master(fname) {
void CtbRawFile::read_into(std::byte *image_buf, DetectorHeader* header) {
if(m_current_frame >= m_master.frames_in_file()){
throw std::runtime_error(LOCATION + "End of file reached");
throw std::runtime_error(LOCATION + " End of file reached");
}
if(m_current_frame != 0 && m_current_frame % m_master.max_frames_per_file() == 0){

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@ -31,6 +31,49 @@ NDArray<ssize_t, 2> GenerateMoench03PixelMap() {
}
NDArray<ssize_t, 2> GenerateMoench05PixelMap() {
std::array<int, 3> adc_numbers = {5, 9, 1};
NDArray<ssize_t, 2> order_map({160, 150});
int n_pixel = 0;
for (int row = 0; row < 160; row++) {
for (int i_col = 0; i_col < 50; i_col++) {
n_pixel = row * 50 + i_col;
for (int i_sc = 0; i_sc < 3; i_sc++) {
int col = 50 * i_sc + i_col;
int adc_nr = adc_numbers[i_sc];
int i_analog = n_pixel * 12 + adc_nr;
// analog_frame[row * 150 + col] = analog_data[i_analog] & 0x3FFF;
order_map(row, col) = i_analog;
}
}
}
return order_map;
}
NDArray<ssize_t, 2> GenerateMoench05PixelMap1g() {
std::array<int, 3> adc_numbers = {1, 2, 0};
NDArray<ssize_t, 2> order_map({160, 150});
int n_pixel = 0;
for (int row = 0; row < 160; row++) {
for (int i_col = 0; i_col < 50; i_col++) {
n_pixel = row * 50 + i_col;
for (int i_sc = 0; i_sc < 3; i_sc++) {
int col = 50 * i_sc + i_col;
int adc_nr = adc_numbers[i_sc];
int i_analog = n_pixel * 3 + adc_nr;
// analog_frame[row * 150 + col] = analog_data[i_analog] & 0x3FFF;
order_map(row, col) = i_analog;
}
}
}
return order_map;
}
NDArray<ssize_t, 2> GenerateMoench05PixelMapOld() {
std::array<int, 3> adc_numbers = {9, 13, 1};
NDArray<ssize_t, 2> order_map({160, 150});
int n_pixel = 0;