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Add a basic test for recarrays and complex dtypes
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example/example20.cpp
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57
example/example20.cpp
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/*
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example/example20.cpp -- Usage of structured numpy dtypes
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Copyright (c) 2016 Ivan Smirnov
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All rights reserved. Use of this source code is governed by a
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BSD-style license that can be found in the LICENSE file.
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*/
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#include "example.h"
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#include <pybind11/numpy.h>
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#include <cstdint>
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#include <iostream>
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namespace py = pybind11;
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struct Struct {
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bool x;
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uint32_t y;
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float z;
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};
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struct PackedStruct {
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bool x;
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uint32_t y;
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float z;
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} __attribute__((packed));
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struct NestedStruct {
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Struct a;
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PackedStruct b;
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};
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template <typename S>
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py::array_t<S> create_recarray(size_t n) {
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auto arr = py::array(py::buffer_info(nullptr, sizeof(S),
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py::format_descriptor<S>::value(),
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1, { n }, { sizeof(S) }));
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auto buf = arr.request();
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auto ptr = static_cast<S*>(buf.ptr);
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for (size_t i = 0; i < n; i++) {
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ptr[i].x = i % 2;
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ptr[i].y = i;
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ptr[i].z = i * 1.5;
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}
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return arr;
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}
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void init_ex20(py::module &m) {
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PYBIND11_DTYPE(Struct, x, y, z);
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PYBIND11_DTYPE(PackedStruct, x, y, z);
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PYBIND11_DTYPE(NestedStruct, a, b);
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m.def("create_rec_simple", &create_recarray<Struct>);
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m.def("create_rec_packed", &create_recarray<PackedStruct>);
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}
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