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This renames example files from `exampleN` to `example-description`. Specifically, the following renaming is applied: example1 -> example-methods-and-attributes example2 -> example-python-types example3 -> example-operator-overloading example4 -> example-constants-and-functions example5 -> example-callbacks (*) example6 -> example-sequence-and-iterators example7 -> example-buffers example8 -> example-custom-ref-counting example9 -> example-modules example10 -> example-numpy-vectorize example11 -> example-arg-keywords-and-defaults example12 -> example-virtual-functions example13 -> example-keep-alive example14 -> example-opaque-types example15 -> example-pickling example16 -> example-inheritance example17 -> example-stl-binders example18 -> example-eval example19 -> example-custom-exceptions * the inheritance parts of example5 are moved into example-inheritance (previously example16), and the remainder is left as example-callbacks. This commit also renames the internal variables ("Example1", "Example2", "Example4", etc.) into non-numeric names ("ExampleMandA", "ExamplePythonTypes", "ExampleWithEnum", etc.) to correspond to the file renaming. The order of tests is preserved, but this can easily be changed if there is some more natural ordering by updating the list in examples/CMakeLists.txt.
42 lines
1.6 KiB
C++
42 lines
1.6 KiB
C++
/*
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example/example-numpy-vectorize.cpp -- auto-vectorize functions over NumPy array
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arguments
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Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
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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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double my_func(int x, float y, double z) {
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std::cout << "my_func(x:int=" << x << ", y:float=" << y << ", z:float=" << z << ")" << std::endl;
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return (float) x*y*z;
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}
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std::complex<double> my_func3(std::complex<double> c) {
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return c * std::complex<double>(2.f);
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}
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void init_ex_numpy_vectorize(py::module &m) {
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// Vectorize all arguments of a function (though non-vector arguments are also allowed)
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m.def("vectorized_func", py::vectorize(my_func));
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// Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
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m.def("vectorized_func2",
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[](py::array_t<int> x, py::array_t<float> y, float z) {
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return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(x, y);
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}
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);
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// Vectorize a complex-valued function
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m.def("vectorized_func3", py::vectorize(my_func3));
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/// Numpy function which only accepts specific data types
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m.def("selective_func", [](py::array_t<int, py::array::c_style>) { std::cout << "Int branch taken. "<< std::endl; });
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m.def("selective_func", [](py::array_t<float, py::array::c_style>) { std::cout << "Float branch taken. "<< std::endl; });
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m.def("selective_func", [](py::array_t<std::complex<float>, py::array::c_style>) { std::cout << "Complex float branch taken. "<< std::endl; });
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}
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