I wanted to point anybody interested to a blog post that describes a useful pattern for having a NumPy array that points to the memory created by a different memory manager than the standard one used by NumPy. The pattern shows how to create a NumPy array that points to previously allocated memory and then shows how to construct an object that allows the correct deallocator to be called when the NumPy array is freed.
This may be useful if you are wrapping code that has it's own memory management scheme. Comments and feedback is welcome.
The post is http://blog.enthought.com/?p=62 Best regards, -Travis Oliphant -- http://mail.python.org/mailman/listinfo/python-list
