Rmks

00README.rst

@@ -10,10 +10,11 @@ The meat of the example is that the data is allocated in C, but exposed
 in Python without a copy using the `PyArray_SimpleNewFromData` numpy
 in Python without a copy using the `PyArray_SimpleNewFromData` numpy
 function in the Cython file `cython_wrapper.pyx`.
 function in the Cython file `cython_wrapper.pyx`.
 
 
-Note that the ownership of the memory is then handed off to the Python
-VM, and there is no control of when Python will deallocate the memory. If
-the memory is still being used by the C code, please refer to the
-following blog post by Travis Oliphant:
+The purpose of the `ArrayWrapper` object, is to be garbage-collected by
+Python when the ndarray Python object disappear. The memory is then
+freed. Note that there is no control of when Python will deallocate the
+memory. If the memory is still being used by the C code, please refer to
+the following blog post by Travis Oliphant:
 
 
  http://blog.enthought.com/python/numpy-arrays-with-pre-allocated-memory
  http://blog.enthought.com/python/numpy-arrays-with-pre-allocated-memory