mirror of
https://github.com/slsdetectorgroup/aare.git
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191 lines
6.2 KiB
C++
191 lines
6.2 KiB
C++
#pragma once
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#include <cstddef>
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#include <cstdint>
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#include <numeric>
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#include <vector>
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#include <fmt/core.h>
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namespace aare {
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/**
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* @brief ClusterVector is a container for clusters of various sizes. It uses a
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* contiguous memory buffer to store the clusters.
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* @note push_back can invalidate pointers to elements in the container
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* @tparam T data type of the pixels in the cluster
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* @tparam CoordType data type of the x and y coordinates of the cluster (normally int16_t)
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*/
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template <typename T, typename CoordType=int16_t> class ClusterVector {
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using value_type = T;
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size_t m_cluster_size_x;
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size_t m_cluster_size_y;
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std::byte *m_data{};
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size_t m_size{0};
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size_t m_capacity;
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uint64_t m_frame_number{0}; //TODO! Check frame number size and type
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/*
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Format string used in the python bindings to create a numpy
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array from the buffer
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= - native byte order
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h - short
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d - double
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i - int
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*/
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constexpr static char m_fmt_base[] = "=h:x:\nh:y:\n({},{}){}:data:" ;
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public:
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/**
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* @brief Construct a new ClusterVector object
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* @param cluster_size_x size of the cluster in x direction
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* @param cluster_size_y size of the cluster in y direction
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* @param capacity initial capacity of the buffer in number of clusters
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*/
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ClusterVector(size_t cluster_size_x = 3, size_t cluster_size_y = 3,
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size_t capacity = 1024)
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: m_cluster_size_x(cluster_size_x), m_cluster_size_y(cluster_size_y),
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m_capacity(capacity) {
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allocate_buffer(capacity);
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}
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~ClusterVector() {
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delete[] m_data;
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}
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//Move constructor
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ClusterVector(ClusterVector &&other) noexcept
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: m_cluster_size_x(other.m_cluster_size_x),
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m_cluster_size_y(other.m_cluster_size_y), m_data(other.m_data),
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m_size(other.m_size), m_capacity(other.m_capacity) {
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other.m_data = nullptr;
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other.m_size = 0;
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other.m_capacity = 0;
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}
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//Move assignment operator
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ClusterVector& operator=(ClusterVector &&other) noexcept {
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if (this != &other) {
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delete[] m_data;
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m_cluster_size_x = other.m_cluster_size_x;
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m_cluster_size_y = other.m_cluster_size_y;
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m_data = other.m_data;
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m_size = other.m_size;
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m_capacity = other.m_capacity;
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other.m_data = nullptr;
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other.m_size = 0;
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other.m_capacity = 0;
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}
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return *this;
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}
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/**
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* @brief Reserve space for at least capacity clusters
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* @param capacity number of clusters to reserve space for
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* @note If capacity is less than the current capacity, the function does nothing.
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*/
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void reserve(size_t capacity) {
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if (capacity > m_capacity) {
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allocate_buffer(capacity);
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}
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}
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/**
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* @brief Add a cluster to the vector
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* @param x x-coordinate of the cluster
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* @param y y-coordinate of the cluster
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* @param data pointer to the data of the cluster
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* @warning The data pointer must point to a buffer of size cluster_size_x * cluster_size_y * sizeof(T)
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*/
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void push_back(CoordType x, CoordType y, const std::byte *data) {
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if (m_size == m_capacity) {
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allocate_buffer(m_capacity * 2);
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}
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std::byte *ptr = element_ptr(m_size);
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*reinterpret_cast<CoordType *>(ptr) = x;
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ptr += sizeof(CoordType);
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*reinterpret_cast<CoordType *>(ptr) = y;
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ptr += sizeof(CoordType);
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std::copy(data, data + m_cluster_size_x * m_cluster_size_y * sizeof(T),
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ptr);
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m_size++;
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}
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ClusterVector& operator+=(const ClusterVector& other){
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if (m_size + other.m_size > m_capacity) {
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allocate_buffer(m_capacity + other.m_size);
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}
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std::copy(other.m_data, other.m_data + other.m_size * element_offset(), m_data + m_size * element_offset());
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m_size += other.m_size;
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return *this;
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}
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/**
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* @brief Sum the pixels in each cluster
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* @return std::vector<T> vector of sums for each cluster
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*/
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std::vector<T> sum() {
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std::vector<T> sums(m_size);
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const size_t stride = element_offset();
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const size_t n_pixels = m_cluster_size_x * m_cluster_size_y;
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std::byte *ptr = m_data + 2 * sizeof(CoordType); // skip x and y
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for (size_t i = 0; i < m_size; i++) {
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sums[i] =
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std::accumulate(reinterpret_cast<T *>(ptr),
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reinterpret_cast<T *>(ptr) + n_pixels, T{});
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ptr += stride;
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}
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return sums;
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}
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size_t size() const { return m_size; }
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size_t capacity() const { return m_capacity; }
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/**
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* @brief Return the offset in bytes for a single cluster
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*/
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size_t element_offset() const {
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return 2*sizeof(CoordType) +
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m_cluster_size_x * m_cluster_size_y * sizeof(T);
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}
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/**
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* @brief Return the offset in bytes for the i-th cluster
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*/
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size_t element_offset(size_t i) const { return element_offset() * i; }
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/**
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* @brief Return a pointer to the i-th cluster
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*/
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std::byte *element_ptr(size_t i) { return m_data + element_offset(i); }
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const std::byte * element_ptr(size_t i) const { return m_data + element_offset(i); }
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size_t cluster_size_x() const { return m_cluster_size_x; }
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size_t cluster_size_y() const { return m_cluster_size_y; }
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std::byte *data() { return m_data; }
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std::byte const *data() const { return m_data; }
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template<typename V>
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V& at(size_t i) {
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return *reinterpret_cast<V*>(element_ptr(i));
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}
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const std::string_view fmt_base() const {
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//TODO! how do we match on coord_t?
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return m_fmt_base;
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}
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uint64_t frame_number() const { return m_frame_number; }
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void set_frame_number(uint64_t frame_number) { m_frame_number = frame_number; }
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private:
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void allocate_buffer(size_t new_capacity) {
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size_t num_bytes = element_offset() * new_capacity;
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std::byte *new_data = new std::byte[num_bytes]{};
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std::copy(m_data, m_data + element_offset() * m_size, new_data);
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delete[] m_data;
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m_data = new_data;
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m_capacity = new_capacity;
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}
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};
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} // namespace aare
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