/**
 *  @brief An example to show how to create ndarrays using arbitrary Python sequences
 *         The Python sequence could be any object whose __array__ method returns an array, or any (nested) sequence.
 *
 *  @todo Find a way to create a list explicitly
 *        
 */

#include <boost/numpy.hpp>
#include <iostream>

namespace p = boost::python;
namespace np = boost::numpy;

int main(int argc, char **argv)
{
  // Initialize the Python runtime.
  Py_Initialize();
  // Initialize NumPy
  np::initialize();
  // Create an ndarray from a simple tuple
  p::object tu = p::make_tuple('a','b','c') ;
  np::ndarray example_tuple = np::array (tu) ; 
  // and from a list
  p::list l ;
  l.append('a') ;
  np::ndarray example_list = np::array (l) ; 
  // Optionally, you can also specify a dtype
  np::dtype dt = np::dtype::get_builtin<int>();
  np::ndarray example_list1 = np::array (l,dt);
}