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https://github.com/slsdetectorgroup/aare.git
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started to do python refactoring
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Build the package using cmake then documentation / build (ubuntu-latest, 3.12) (push) Failing after 44s
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@ -16,149 +16,176 @@
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namespace py = pybind11;
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using pd_type = double;
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template <typename T>
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using namespace aare;
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template <typename ClusterType>
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void define_cluster_vector(py::module &m, const std::string &typestr) {
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using T = typename extract_template_arguments<ClusterType>::value_type;
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auto class_name = fmt::format("ClusterVector_{}", typestr);
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py::class_<ClusterVector<T>>(m, class_name.c_str(), py::buffer_protocol())
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.def(py::init<int, int>(),
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py::arg("cluster_size_x") = 3, py::arg("cluster_size_y") = 3)
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py::class_<ClusterVector<ClusterType>>(m, class_name.c_str(),
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py::buffer_protocol())
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.def(py::init<int, int>(), py::arg("cluster_size_x") = 3,
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py::arg("cluster_size_y") = 3) // TODO change!!!
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.def("push_back",
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[](ClusterVector<T> &self, int x, int y, py::array_t<T> data) {
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// auto view = make_view_2d(data);
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self.push_back(x, y, reinterpret_cast<const std::byte*>(data.data()));
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[](ClusterVector<ClusterType> &self, ClusterType &cl) {
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// auto view = make_view_2d(data);
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self.push_back(cl);
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})
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.def_property_readonly("size", &ClusterVector<T>::size)
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.def("item_size", &ClusterVector<T>::item_size)
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.def_property_readonly("size", &ClusterVector<ClusterType>::size)
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.def("item_size", &ClusterVector<ClusterType>::item_size)
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.def_property_readonly("fmt",
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[typestr](ClusterVector<T> &self) {
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[typestr](ClusterVector<ClusterType> &self) {
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return fmt::format(
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self.fmt_base(), self.cluster_size_x(),
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self.cluster_size_y(), typestr);
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})
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.def("sum",
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[](ClusterVector<T> &self) {
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[](ClusterVector<ClusterType> &self) {
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auto *vec = new std::vector<T>(self.sum());
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return return_vector(vec);
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})
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.def("sum_2x2", [](ClusterVector<T> &self) {
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auto *vec = new std::vector<T>(self.sum_2x2());
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return return_vector(vec);
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})
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.def_property_readonly("cluster_size_x", &ClusterVector<T>::cluster_size_x)
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.def_property_readonly("cluster_size_y", &ClusterVector<T>::cluster_size_y)
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.def_property_readonly("capacity", &ClusterVector<T>::capacity)
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.def_property("frame_number", &ClusterVector<T>::frame_number,
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&ClusterVector<T>::set_frame_number)
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.def_buffer([typestr](ClusterVector<T> &self) -> py::buffer_info {
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return py::buffer_info(
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self.data(), /* Pointer to buffer */
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self.item_size(), /* Size of one scalar */
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fmt::format(self.fmt_base(), self.cluster_size_x(),
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self.cluster_size_y(),
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typestr), /* Format descriptor */
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1, /* Number of dimensions */
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{self.size()}, /* Buffer dimensions */
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{self.item_size()} /* Strides (in bytes) for each index */
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);
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});
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.def("sum_2x2",
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[](ClusterVector<ClusterType> &self) {
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auto *vec = new std::vector<T>(self.sum_2x2());
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return return_vector(vec);
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})
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.def_property_readonly("cluster_size_x",
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&ClusterVector<ClusterType>::cluster_size_x)
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.def_property_readonly("cluster_size_y",
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&ClusterVector<ClusterType>::cluster_size_y)
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.def_property_readonly("capacity",
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&ClusterVector<ClusterType>::capacity)
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.def_property("frame_number", &ClusterVector<ClusterType>::frame_number,
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&ClusterVector<ClusterType>::set_frame_number)
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.def_buffer(
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[typestr](ClusterVector<ClusterType> &self) -> py::buffer_info {
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return py::buffer_info(
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self.data(), /* Pointer to buffer */
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self.item_size(), /* Size of one scalar */
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fmt::format(self.fmt_base(), self.cluster_size_x(),
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self.cluster_size_y(),
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typestr), /* Format descriptor */
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1, /* Number of dimensions */
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{self.size()}, /* Buffer dimensions */
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{self.item_size()} /* Strides (in bytes) for each index */
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);
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});
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}
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template <typename ClusterType>
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void define_cluster_finder_mt_bindings(py::module &m) {
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py::class_<ClusterFinderMT<uint16_t, pd_type>>(m, "ClusterFinderMT")
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py::class_<ClusterFinderMT<ClusterType, uint16_t, pd_type>>(
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m, "ClusterFinderMT")
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.def(py::init<Shape<2>, Shape<2>, pd_type, size_t, size_t>(),
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py::arg("image_size"), py::arg("cluster_size"),
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py::arg("n_sigma") = 5.0, py::arg("capacity") = 2048,
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py::arg("n_threads") = 3)
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.def("push_pedestal_frame",
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[](ClusterFinderMT<uint16_t, pd_type> &self,
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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(
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"find_clusters",
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[](ClusterFinderMT<uint16_t, pd_type> &self,
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[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
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py::array_t<uint16_t> frame, uint64_t frame_number) {
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auto view = make_view_2d(frame);
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self.find_clusters(view, frame_number);
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return;
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},
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py::arg(), py::arg("frame_number") = 0)
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.def("clear_pedestal", &ClusterFinderMT<uint16_t, pd_type>::clear_pedestal)
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.def("sync", &ClusterFinderMT<uint16_t, pd_type>::sync)
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.def("stop", &ClusterFinderMT<uint16_t, pd_type>::stop)
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.def("start", &ClusterFinderMT<uint16_t, pd_type>::start)
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.def("pedestal",
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[](ClusterFinderMT<uint16_t, pd_type> &self, size_t thread_index) {
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auto pd = new NDArray<pd_type, 2>{};
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*pd = self.pedestal(thread_index);
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return return_image_data(pd);
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},py::arg("thread_index") = 0)
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.def("noise",
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[](ClusterFinderMT<uint16_t, pd_type> &self, size_t thread_index) {
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auto arr = new NDArray<pd_type, 2>{};
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*arr = self.noise(thread_index);
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return return_image_data(arr);
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},py::arg("thread_index") = 0);
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.def("clear_pedestal",
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&ClusterFinderMT<ClusterType, uint16_t, pd_type>::clear_pedestal)
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.def("sync", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::sync)
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.def("stop", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::stop)
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.def("start", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::start)
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.def(
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"pedestal",
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[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
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size_t thread_index) {
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auto pd = new NDArray<pd_type, 2>{};
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*pd = self.pedestal(thread_index);
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return return_image_data(pd);
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},
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py::arg("thread_index") = 0)
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.def(
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"noise",
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[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
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size_t thread_index) {
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auto arr = new NDArray<pd_type, 2>{};
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*arr = self.noise(thread_index);
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return return_image_data(arr);
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},
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py::arg("thread_index") = 0);
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}
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template <typename ClusterType>
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void define_cluster_collector_bindings(py::module &m) {
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py::class_<ClusterCollector>(m, "ClusterCollector")
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.def(py::init<ClusterFinderMT<uint16_t, double, int32_t> *>())
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.def("stop", &ClusterCollector::stop)
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py::class_<ClusterCollector<ClusterType>>(m, "ClusterCollector")
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.def(py::init<ClusterFinderMT<ClusterType, uint16_t, double> *>())
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.def("stop", &ClusterCollector<ClusterType>::stop)
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.def(
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"steal_clusters",
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[](ClusterCollector &self) {
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auto v =
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new std::vector<ClusterVector<int>>(self.steal_clusters());
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[](ClusterCollector<ClusterType> &self) {
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auto v = new std::vector<ClusterVector<ClusterType>>(
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self.steal_clusters());
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return v;
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},
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py::return_value_policy::take_ownership);
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}
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template <typename ClusterType>
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void define_cluster_file_sink_bindings(py::module &m) {
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py::class_<ClusterFileSink>(m, "ClusterFileSink")
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.def(py::init<ClusterFinderMT<uint16_t, double, int32_t> *,
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py::class_<ClusterFileSink<ClusterType>>(m, "ClusterFileSink")
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.def(py::init<ClusterFinderMT<ClusterType, uint16_t, double> *,
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const std::filesystem::path &>())
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.def("stop", &ClusterFileSink::stop);
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.def("stop", &ClusterFileSink<ClusterType>::stop);
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}
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template <typename ClusterType>
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void define_cluster_finder_bindings(py::module &m) {
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py::class_<ClusterFinder<uint16_t, pd_type>>(m, "ClusterFinder")
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py::class_<ClusterFinder<ClusterType, uint16_t, pd_type>>(m,
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"ClusterFinder")
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.def(py::init<Shape<2>, Shape<2>, pd_type, size_t>(),
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py::arg("image_size"), py::arg("cluster_size"),
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py::arg("n_sigma") = 5.0, py::arg("capacity") = 1'000'000)
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.def("push_pedestal_frame",
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[](ClusterFinder<uint16_t, pd_type> &self,
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[](ClusterFinder<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("clear_pedestal", &ClusterFinder<uint16_t, pd_type>::clear_pedestal)
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.def_property_readonly("pedestal",
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[](ClusterFinder<uint16_t, pd_type> &self) {
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auto pd = new NDArray<pd_type, 2>{};
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*pd = self.pedestal();
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return return_image_data(pd);
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})
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.def_property_readonly("noise",
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[](ClusterFinder<uint16_t, pd_type> &self) {
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auto arr = new NDArray<pd_type, 2>{};
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*arr = self.noise();
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return return_image_data(arr);
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})
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.def("clear_pedestal",
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&ClusterFinder<ClusterType, uint16_t, pd_type>::clear_pedestal)
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.def_property_readonly(
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"pedestal",
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[](ClusterFinder<ClusterType, uint16_t, pd_type> &self) {
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auto pd = new NDArray<pd_type, 2>{};
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*pd = self.pedestal();
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return return_image_data(pd);
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})
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.def_property_readonly(
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"noise",
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[](ClusterFinder<ClusterType, uint16_t, pd_type> &self) {
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auto arr = new NDArray<pd_type, 2>{};
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*arr = self.noise();
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return return_image_data(arr);
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})
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.def(
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"steal_clusters",
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[](ClusterFinder<uint16_t, pd_type> &self,
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[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
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bool realloc_same_capacity) {
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auto v = new ClusterVector<int>(
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auto v = new ClusterVector<ClusterType>(
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self.steal_clusters(realloc_same_capacity));
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return v;
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},
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py::arg("realloc_same_capacity") = false)
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.def(
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"find_clusters",
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[](ClusterFinder<uint16_t, pd_type> &self,
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[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
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py::array_t<uint16_t> frame, uint64_t frame_number) {
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auto view = make_view_2d(frame);
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self.find_clusters(view, frame_number);
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@ -167,7 +194,7 @@ void define_cluster_finder_bindings(py::module &m) {
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py::arg(), py::arg("frame_number") = 0);
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m.def("hitmap",
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[](std::array<size_t, 2> image_size, ClusterVector<int32_t> &cv) {
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[](std::array<size_t, 2> image_size, ClusterVector<ClusterType> &cv) {
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py::array_t<int32_t> hitmap(image_size);
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auto r = hitmap.mutable_unchecked<2>();
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