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https://github.com/slsdetectorgroup/aare.git
synced 2026-06-29 20:17:05 +02:00
added support for subtracting pedestal from np.array
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+36
-4
@@ -5,6 +5,7 @@
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#include <cstdint>
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#include <filesystem>
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#include <pybind11/numpy.h>
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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@@ -12,8 +13,10 @@ namespace py = pybind11;
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template <typename SUM_TYPE>
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void define_pedestal_bindings(py::module &m, const std::string &name) {
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py::class_<Pedestal<SUM_TYPE>>(m, name.c_str())
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.def(py::init<int, int, int>())
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auto pedestal =
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py::class_<Pedestal<SUM_TYPE>>(m, name.c_str(), py::buffer_protocol());
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pedestal.def(py::init<int, int, int>())
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.def(py::init<int, int>())
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.def("mean",
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[](Pedestal<SUM_TYPE> &self) {
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@@ -50,6 +53,23 @@ void define_pedestal_bindings(py::module &m, const std::string &name) {
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*std = self.std();
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return return_image_data(std);
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})
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.def(
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"__array_ufunc__",
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[](py::object self, py::object ufunc, const std::string &method,
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py::args inputs, py::kwargs kwargs) -> py::object {
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if (method != "__call__" || inputs.size() != 2 ||
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inputs[1].ptr() != self.ptr() ||
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py::cast<std::string>(ufunc.attr("__name__")) !=
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"subtract") {
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return py::reinterpret_borrow<py::object>(
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Py_NotImplemented);
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}
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auto mean =
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py::module_::import("builtins").attr("memoryview")(self);
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return ufunc(inputs[0], mean, **kwargs);
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},
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"Support subtracting a Pedestal from a NumPy array.")
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.def("clear", py::overload_cast<>(&Pedestal<SUM_TYPE>::clear))
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.def_property_readonly("rows", &Pedestal<SUM_TYPE>::rows)
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.def_property_readonly("cols", &Pedestal<SUM_TYPE>::cols)
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@@ -84,5 +104,17 @@ void define_pedestal_bindings(py::module &m, const std::string &name) {
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pedestal.push_no_update(v);
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},
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py::arg().noconvert())
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.def("update_mean", &Pedestal<SUM_TYPE>::update_mean);
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}
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.def("update_mean", &Pedestal<SUM_TYPE>::update_mean)
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.def_buffer([](Pedestal<SUM_TYPE> &self) {
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auto mean = self.view();
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return py::buffer_info(
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const_cast<SUM_TYPE *>(mean.data()), sizeof(SUM_TYPE),
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py::format_descriptor<SUM_TYPE>::format(), 2,
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{static_cast<py::ssize_t>(mean.shape(0)),
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static_cast<py::ssize_t>(mean.shape(1))},
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{static_cast<py::ssize_t>(mean.strides()[0] * sizeof(SUM_TYPE)),
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static_cast<py::ssize_t>(mean.strides()[1] *
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sizeof(SUM_TYPE))},
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true);
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});
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}
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