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https://github.com/slsdetectorgroup/aare.git
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underlying container of ClusterVcetor is now a std::vector
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@ -10,6 +10,7 @@
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#include "aare/NDView.hpp"
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namespace py = pybind11;
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using namespace aare;
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// Pass image data back to python as a numpy array
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template <typename T, int64_t Ndim>
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@ -64,4 +65,22 @@ template <class T, int Flags> auto make_view_2d(py::array_t<T, Flags> &arr) {
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}
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template <class T, int Flags> auto make_view_1d(py::array_t<T, Flags> &arr) {
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return aare::NDView<T, 1>(arr.mutable_data(), get_shape_1d<T, Flags>(arr));
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}
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}
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template <typename ClusterType> struct fmt_format_trait; // forward declaration
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template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
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typename CoordType>
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struct fmt_format_trait<Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>> {
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static std::string value() {
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return fmt::format("T{{{}:x;{}:y;{}:data;}}",
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py::format_descriptor<CoordType>::format(),
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py::format_descriptor<CoordType>::format(),
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fmt::format("{}{}", ClusterSizeX * ClusterSizeY,
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py::format_descriptor<T>::format()));
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}
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};
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template <typename ClusterType>
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auto fmt_format = fmt_format_trait<ClusterType>::value();
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