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Inital implementation of multithreading for chunked pedestal
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@@ -30,15 +30,30 @@ void define_ClusterFinderMT(py::module &m, const std::string &typestr) {
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py::class_<ClusterFinderMT<ClusterType, uint16_t, pd_type>>(
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m, class_name.c_str())
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.def(py::init<Shape<2>, pd_type, size_t, size_t>(),
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.def(py::init<Shape<2>, pd_type, size_t, size_t, uint32_t, uint32_t>(),
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py::arg("image_size"), py::arg("n_sigma") = 5.0,
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py::arg("capacity") = 2048, py::arg("n_threads") = 3)
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py::arg("capacity") = 2048, py::arg("n_threads") = 3,
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py::arg("chunk_size") = 50'000, py::arg("n_chunks") = 10)
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.def("push_pedestal_frame",
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[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
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py::array_t<uint16_t> frame) {
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auto view = make_view_2d(frame);
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self.push_pedestal_frame(view);
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})
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.def("push_pedestal_mean",
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[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
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py::array_t<double> frame, uint32_t chunk_number) {
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auto view = make_view_2d(frame);
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self.push_pedestal_mean(view, chunk_number);
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})
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.def("push_pedestal_std",
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[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
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py::array_t<double> frame, uint32_t chunk_number) {
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auto view = make_view_2d(frame);
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self.push_pedestal_std(view, chunk_number);
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})
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.def(
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"find_clusters",
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[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
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