I've been playing a bit with ctypes and realized that with a little help, it could be made much easier to interface with NumPy arrays. Thus, I added a ctypes attribute to the NumPy array. If ctypes is installed, this attribute returns a "conversion" object otherwise an AttributeError is raised.
The ctypes-conversion object has attributes which return c_types aware objects so that the information can be passed directly to c-code (as an integer, the number of dimensions can already be passed using c-types). The information available and it's corresponding c_type is data - c_void_p shape, strides - c_int * nd or c_long * nd or c_longlong * nd depending on platform -Travis Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/numpy-discussion
