Apply calibration to Jungfrau raw data (#216)

- Added function to read calibration file
- Multi threaded pedestal subtraction and application of the calibration

python/src/bind_calibration.hpp

@@ -0,0 +1,43 @@
+#include "aare/calibration.hpp"
+
+#include <cstdint>
+#include <filesystem>
+#include <pybind11/numpy.h>
+#include <pybind11/pybind11.h>
+#include <pybind11/stl.h>
+#include <pybind11/stl_bind.h>
+
+namespace py = pybind11;
+
+template <typename DataType>
+py::array_t<DataType> pybind_apply_calibration(
+    py::array_t<uint16_t, py::array::c_style | py::array::forcecast> data,
+    py::array_t<DataType, py::array::c_style | py::array::forcecast> pedestal,
+    py::array_t<DataType, py::array::c_style | py::array::forcecast>
+        calibration,
+    int n_threads = 4) {
+
+    auto data_span = make_view_3d(data);
+    auto ped = make_view_3d(pedestal);
+    auto cal = make_view_3d(calibration);
+
+    /* No pointer is passed, so NumPy will allocate the buffer */
+    auto result = py::array_t<DataType>(data_span.shape());
+    auto res = make_view_3d(result);
+
+    aare::apply_calibration<DataType>(res, data_span, ped, cal, n_threads);
+
+    return result;
+}
+
+void bind_calibration(py::module &m) {
+    m.def("apply_calibration", &pybind_apply_calibration<float>,
+          py::arg("raw_data").noconvert(), py::kw_only(),
+          py::arg("pd").noconvert(), py::arg("cal").noconvert(),
+          py::arg("n_threads") = 4);
+
+    m.def("apply_calibration", &pybind_apply_calibration<double>,
+          py::arg("raw_data").noconvert(), py::kw_only(),
+          py::arg("pd").noconvert(), py::arg("cal").noconvert(),
+          py::arg("n_threads") = 4);
+}