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https://github.com/slsdetectorgroup/aare.git
synced 2026-02-18 15:28:40 +01:00
make max_sum_2x2 properly accessible from python
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@@ -8,6 +8,7 @@
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#pragma once
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#include "defs.hpp"
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#include <algorithm>
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#include <array>
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#include <cstdint>
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@@ -45,7 +46,7 @@ struct Cluster {
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* @return photon energy of subcluster, 2x2 subcluster index relative to
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* cluster center
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*/
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std::pair<T, int> max_sum_2x2() const {
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Sum_index_pair<T, int> max_sum_2x2() const {
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if constexpr (cluster_size_x == 3 && cluster_size_y == 3) {
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std::array<T, 4> sum_2x2_subclusters;
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@@ -56,9 +57,10 @@ struct Cluster {
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int index = std::max_element(sum_2x2_subclusters.begin(),
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sum_2x2_subclusters.end()) -
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sum_2x2_subclusters.begin();
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return std::make_pair(sum_2x2_subclusters[index], index);
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return Sum_index_pair<T, int>{sum_2x2_subclusters[index], index};
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} else if constexpr (cluster_size_x == 2 && cluster_size_y == 2) {
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return std::make_pair(data[0] + data[1] + data[2] + data[3], 0);
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return Sum_index_pair<T, int>{data[0] + data[1] + data[2] + data[3],
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0};
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} else {
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constexpr size_t cluster_center_index =
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(ClusterSizeX / 2) + (ClusterSizeY / 2) * ClusterSizeX;
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@@ -97,7 +99,7 @@ struct Cluster {
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int index = std::max_element(sum_2x2_subcluster.begin(),
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sum_2x2_subcluster.end()) -
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sum_2x2_subcluster.begin();
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return std::make_pair(sum_2x2_subcluster[index], index);
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return Sum_index_pair<T, int>{sum_2x2_subcluster[index], index};
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}
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}
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};
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@@ -86,15 +86,14 @@ class ClusterVector<Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>> {
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/**
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* @brief Sum the pixels in the 2x2 subcluster with the biggest pixel sum in
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* each cluster
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* @return std::vector<T> vector of sums for each cluster
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* @return vector of sums index pairs for each cluster
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*/
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std::vector<T> sum_2x2() {
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std::vector<T> sums_2x2(m_data.size());
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std::vector<Sum_index_pair<T, int>> sum_2x2() {
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std::vector<Sum_index_pair<T, int>> sums_2x2(m_data.size());
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std::transform(m_data.begin(), m_data.end(), sums_2x2.begin(),
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[](const ClusterType &cluster) {
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return cluster.max_sum_2x2().first;
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});
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std::transform(
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m_data.begin(), m_data.end(), sums_2x2.begin(),
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[](const ClusterType &cluster) { return cluster.max_sum_2x2(); });
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return sums_2x2;
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}
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@@ -331,6 +331,12 @@ enum DACIndex {
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SLOW_ADC_TEMP
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};
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// helper pair class to easily expose in python
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template <typename T1, typename T2> struct Sum_index_pair {
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T1 sum;
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T2 index;
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};
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enum class TimingMode { Auto, Trigger };
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enum class FrameDiscardPolicy { NoDiscard, Discard, DiscardPartial };
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@@ -58,7 +58,11 @@ void define_Cluster(py::module &m, const std::string &typestr) {
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&Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType>::x)
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.def_readonly("y",
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&Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType>::y);
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&Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType>::y)
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.def(
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"max_sum_2x2",
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&Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType>::max_sum_2x2);
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}
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template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
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@@ -6,12 +6,15 @@
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#include "aare/NDView.hpp"
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#include "aare/Pedestal.hpp"
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#include "np_helper.hpp"
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#include "utils/bind_Vector.hpp"
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#include <cstdint>
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#include <filesystem>
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#define PYBIND11_DETAILED_ERROR_MESSAGES
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#define PYBIND11_DISABLE_STL_CONTAINERS
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include <pybind11/stl_bind.h>
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// #include <pybind11/stl.h>
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// #include <pybind11/stl_bind.h>
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namespace py = pybind11;
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using pd_type = double;
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@@ -46,8 +49,31 @@ void define_ClusterVector(py::module &m, const std::string &typestr) {
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})
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.def("sum_2x2",
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[](ClusterVector<ClusterType> &self) {
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auto *vec = new std::vector<Type>(self.sum_2x2());
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return return_vector(vec);
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// auto *vec =
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// new std::vector<Sum_index_pair<Type, int>>(self.sum_2x2());
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/*
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py::capsule free_when_done(vec, [](void *f) {
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std::vector<std::pair<Type, int>> *foo =
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reinterpret_cast<std::vector<std::pair<Type, int>> *>(
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f);
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delete foo;
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});
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py::buffer result(
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vec->data(),
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static_cast<py::ssize_t>(sizeof(std::pair<Type, int>)),
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fmt::format("T{{{}:sum:i:index}}",
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py::format_descriptor<Type>::format()),
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static_cast<py::ssize_t>(1),
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std::vector<py::ssize_t>{
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static_cast<py::ssize_t>(vec->size())},
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std::vector<py::ssize_t>{static_cast<py::ssize_t>(
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sizeof(std::pair<Type, int>))});
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//,static_cast<py::object>(free_when_done));
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*/
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return self.sum_2x2(); // return_vector(vec);
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})
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.def_property_readonly("size", &ClusterVector<ClusterType>::size)
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.def("item_size", &ClusterVector<ClusterType>::item_size)
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@@ -9,6 +9,7 @@
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#include "bind_ClusterFinderMT.hpp"
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#include "bind_ClusterVector.hpp"
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#include "bind_calibration.hpp"
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#include "utils/bind_Vector.hpp"
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// TODO! migrate the other names
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#include "ctb_raw_file.hpp"
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@@ -114,4 +115,19 @@ PYBIND11_MODULE(_aare, m) {
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reduce_to_3x3<int, 9, 9, uint16_t>(m);
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reduce_to_3x3<double, 9, 9, uint16_t>(m);
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reduce_to_3x3<float, 9, 9, uint16_t>(m);
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define_Vector<Sum_index_pair<double, int>>(
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m, "Sum_index_pair_d",
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fmt::format("T{{{}:sum:i:index}}",
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py::format_descriptor<double>::format()));
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define_Vector<Sum_index_pair<float, int>>(
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m, "Sum_index_pair_f",
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fmt::format("T{{{}:sum:i:index}}",
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py::format_descriptor<double>::format()));
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define_Vector<Sum_index_pair<int, int>>(
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m, "Sum_index_pair_i",
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fmt::format("T{{{}:sum:i:index}}",
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py::format_descriptor<double>::format()));
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}
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30
python/src/utils/bind_Vector.hpp
Normal file
30
python/src/utils/bind_Vector.hpp
Normal file
@@ -0,0 +1,30 @@
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#pragma once
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#include <pybind11/pybind11.h>
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// #include <pybind11/stl.h>
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// #include <pybind11/stl_bind.h>
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#include <vector>
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namespace py = pybind11;
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// TODO add index, itemize
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template <typename Type>
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void define_Vector(py::module &m, const std::string &type_str,
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const std::string &format_string) {
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auto class_name = "Vector_" + type_str;
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py::class_<std::vector<Type>>(m, class_name.c_str(), py::buffer_protocol())
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.def(py::init())
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.def_buffer([&format_string](
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std::vector<Type> &self) -> py::buffer_info {
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return py::buffer_info(
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self.data(), static_cast<py::ssize_t>(sizeof(Type)),
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format_string, static_cast<py::ssize_t>(1),
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std::vector<py::ssize_t>{static_cast<py::ssize_t>(self.size())},
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std::vector<py::ssize_t>{
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static_cast<py::ssize_t>(sizeof(Type))});
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});
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}
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// fmt::format("T{{{}:sum:i:index}}",py::format_descriptor<Type>::format())
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@@ -32,6 +32,17 @@ def test_push_back_on_cluster_vector():
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assert arr[0]['y'] == 22
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def test_max_2x2_sum():
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"""max_2x2_sum"""
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cv = _aare.ClusterVector_Cluster3x3i()
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cv.push_back(_aare.Cluster3x3i(19, 22, np.array([0,1,0,2,3,0,2,1,0], dtype=np.int32)))
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cv.push_back(_aare.Cluster3x3i(19, 22, np.ones(9, dtype=np.int32)))
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assert cv.size == 2
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max_2x2 = cv.sum_2x2()
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assert max_2x2.size == 2
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print(max_2x2[0])
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def test_make_a_hitmap_from_cluster_vector():
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cv = _aare.ClusterVector_Cluster3x3i()
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