mirror of
https://github.com/slsdetectorgroup/aare.git
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abae2674a9
- Added function to read calibration file - Multi threaded pedestal subtraction and application of the calibration
88 lines
3.1 KiB
C++
88 lines
3.1 KiB
C++
// Files with bindings to the different classes
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// New style file naming
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#include "bind_Cluster.hpp"
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#include "bind_ClusterCollector.hpp"
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#include "bind_ClusterFile.hpp"
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#include "bind_ClusterFileSink.hpp"
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#include "bind_ClusterFinder.hpp"
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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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// TODO! migrate the other names
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#include "ctb_raw_file.hpp"
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#include "file.hpp"
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#include "fit.hpp"
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#include "interpolation.hpp"
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#include "jungfrau_data_file.hpp"
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#include "pedestal.hpp"
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#include "pixel_map.hpp"
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#include "raw_file.hpp"
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#include "raw_master_file.hpp"
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#include "raw_sub_file.hpp"
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#include "var_cluster.hpp"
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// Pybind stuff
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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namespace py = pybind11;
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/* MACRO that defines Cluster bindings for a specific size and type
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T - Storage type of the cluster data (int, float, double)
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N - Number of rows in the cluster
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M - Number of columns in the cluster
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U - Type of the pixel data (e.g., uint16_t)
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TYPE_CODE - A character representing the type code (e.g., 'i' for int, 'd' for
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double, 'f' for float)
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*/
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#define DEFINE_CLUSTER_BINDINGS(T, N, M, U, TYPE_CODE) \
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define_ClusterFile<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
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define_ClusterVector<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
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define_ClusterFinder<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
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define_ClusterFinderMT<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
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define_ClusterFileSink<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
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define_ClusterCollector<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
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define_Cluster<T, N, M, U>(m, #N "x" #M #TYPE_CODE); \
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register_calculate_eta<T, N, M, U>(m);
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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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define_pixel_map_bindings(m);
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define_pedestal_bindings<double>(m, "Pedestal_d");
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define_pedestal_bindings<float>(m, "Pedestal_f");
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define_fit_bindings(m);
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define_interpolation_bindings(m);
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define_jungfrau_data_file_io_bindings(m);
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bind_calibration(m);
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DEFINE_CLUSTER_BINDINGS(int, 3, 3, uint16_t, i);
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DEFINE_CLUSTER_BINDINGS(double, 3, 3, uint16_t, d);
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DEFINE_CLUSTER_BINDINGS(float, 3, 3, uint16_t, f);
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DEFINE_CLUSTER_BINDINGS(int, 2, 2, uint16_t, i);
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DEFINE_CLUSTER_BINDINGS(double, 2, 2, uint16_t, d);
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DEFINE_CLUSTER_BINDINGS(float, 2, 2, uint16_t, f);
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DEFINE_CLUSTER_BINDINGS(int, 5, 5, uint16_t, i);
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DEFINE_CLUSTER_BINDINGS(double, 5, 5, uint16_t, d);
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DEFINE_CLUSTER_BINDINGS(float, 5, 5, uint16_t, f);
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DEFINE_CLUSTER_BINDINGS(int, 7, 7, uint16_t, i);
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DEFINE_CLUSTER_BINDINGS(double, 7, 7, uint16_t, d);
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DEFINE_CLUSTER_BINDINGS(float, 7, 7, uint16_t, f);
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DEFINE_CLUSTER_BINDINGS(int, 9, 9, uint16_t, i);
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DEFINE_CLUSTER_BINDINGS(double, 9, 9, uint16_t, d);
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DEFINE_CLUSTER_BINDINGS(float, 9, 9, uint16_t, f);
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}
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