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- // Copyright Ankit Daftery 2011-2012.
- // Distributed under the Boost Software License, Version 1.0.
- // (See accompanying file LICENSE_1_0.txt or copy at
- // http://www.boost.org/LICENSE_1_0.txt)
- /**
- * @brief An example to show how to access data using raw pointers. This shows that you can use and
- * manipulate data in either Python or C++ and have the changes reflected in both.
- */
- #include <boost/python/numpy.hpp>
- #include <iostream>
- namespace p = boost::python;
- namespace np = boost::python::numpy;
- int main(int argc, char **argv)
- {
- // Initialize the Python runtime.
- Py_Initialize();
- // Initialize NumPy
- np::initialize();
- // Create an array in C++
- int arr[] = {1,2,3,4} ;
- // Create the ndarray in Python
- np::ndarray py_array = np::from_data(arr, np::dtype::get_builtin<int>() , p::make_tuple(4), p::make_tuple(4), p::object());
- // Print the ndarray that we just created, and the source C++ array
- std::cout << "C++ array :" << std::endl ;
- for (int j=0;j<4;j++)
- {
- std::cout << arr[j] << ' ' ;
- }
- std::cout << std::endl << "Python ndarray :" << p::extract<char const *>(p::str(py_array)) << std::endl;
- // Change an element in the python ndarray
- py_array[1] = 5 ;
- // And see if the C++ container is changed or not
- std::cout << "Is the change reflected in the C++ array used to create the ndarray ? " << std::endl ;
- for (int j = 0;j<4 ; j++)
- {
- std::cout << arr[j] << ' ' ;
- }
- // Conversely, change it in C++
- arr[2] = 8 ;
- // And see if the changes are reflected in the Python ndarray
- std::cout << std::endl << "Is the change reflected in the Python ndarray ?" << std::endl << p::extract<char const *>(p::str(py_array)) << std::endl;
- }
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