| /* |
| example/example10.cpp -- auto-vectorize functions over NumPy array |
| arguments |
| |
| Copyright (c) 2015 Wenzel Jakob <wenzel@inf.ethz.ch> |
| |
| All rights reserved. Use of this source code is governed by a |
| BSD-style license that can be found in the LICENSE file. |
| */ |
| |
| #include "example.h" |
| #include <pybind11/numpy.h> |
| |
| double my_func(int x, float y, double z) { |
| std::cout << "my_func(x:int=" << x << ", y:float=" << y << ", z:float=" << z << ")" << std::endl; |
| return x*y*z; |
| } |
| |
| std::complex<double> my_func3(std::complex<double> c) { |
| return c * std::complex<double>(2.f); |
| } |
| |
| void init_ex10(py::module &m) { |
| // Vectorize all arguments of a function (though non-vector arguments are also allowed) |
| m.def("vectorized_func", py::vectorize(my_func)); |
| |
| // Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization) |
| m.def("vectorized_func2", |
| [](py::array_t<int> x, py::array_t<float> y, float z) { |
| return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(x, y); |
| } |
| ); |
| |
| // Vectorize a complex-valued function |
| m.def("vectorized_func3", py::vectorize(my_func3)); |
| } |