Interface python.numarray and c++ using boost.python and cmake

Let us call the following c++ functions from python

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#include <boost/python.hpp>
#include <boost/python/numeric.hpp>
using namespace boost::python;

char const* say_yes(){return "YES!!";}


// See if we can invoke array() from C++
object new_array()
{
return numeric::array(make_tuple(
     make_tuple(1,2.2,3)
   , make_tuple(4,5,6)
   , make_tuple(7,8,9)
),'d');
}


// test argument conversion
void take_array(numeric::array x){x[make_tuple(0,0)]= 0.5;}

BOOST_PYTHON_MODULE(libboopy)
{
def("yes", say_yes);
def("new_array", new_array);
def("take_array", take_array);
}

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This c++ code can compile

$ cmake .
$ make

with file CMakeLists.txt

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INCLUDE_DIRECTORIES(  /usr/include/python2.4       )
ADD_LIBRARY(boopy  SHARED boopy.cpp )
TARGET_LINK_LIBRARIES(boopy boost_python python2.4 )

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Then libboopy.so is genereated. libboopy.so can call from python as the fllowing

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def boopy_test():
    import sys
    import numarray
    import libboopy
    print libboopy.yes()
    x =  libboopy.new_array()
  　print x
    libboopy.take_array(x)
    print x
    z=numarray.array([[0,1],[1,3]], numarray.Float)
    print z 
    libboopy.take_array(z) # note here
    print z

if __name__ == '__main__':
    print "running..."
    import sys
    boopy_test()

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output is

---

YES!!
[[ 1.   2.2  3. ]
 [ 4.   5.   6. ]
 [ 7.   8.   9. ]]
[[ 0.5  2.2  3. ]
 [ 4.   5.   6. ]
 [ 7.   8.   9. ]]
[[ 0.  1.]
 [ 1.  3.]]
[[ 0.5  1. ]
 [ 1.   3. ]]

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