Hello all, to interact with some hardware (data retrieval), I use the following scheme (Windows, Python 2.4):
* in Python, I create a numpy array as a buffer * I pass this array to a self written .dll using ctypes * the C-code in the .dll passes the pointer to the buffer to the API of the hardware; then the API starts writing data to my buffer * from python I can use a helper function of the .dll to know which part of the buffer is safe to be read at the moment; so I can copy this part to a different numpy array and work with the data This works quite well, but today I got a blue screen, reporting some paging-problem. It occured after doing some other stuff like moving some windows on the screen and importing pylab, and I heard the harddisk working hard, so I assume that the part of memory my buffer is in, was paged to the harddisk. This is a problem, since the hardware driver will continuously try to write to this specific memory location I gave to it. My primary question is, how to avoid a numpy-array being paged. In the ideal case there would be a flag to set, that makes sure that this array is always at this position in physical memory. Of course I am also interested in other people's work on hardware access. Do you think the above discribed way is a good one? To me it was the best way because I could do as much as possible in Python and keep may C-coded .dll very small. Is anyone doing similar things? Thanks for every comment Lars -- Dipl.-Ing. Lars Friedrich Optical Measurement Technology Department of Microsystems Engineering -- IMTEK University of Freiburg Georges-Köhler-Allee 102 D-79110 Freiburg Germany phone: +49-761-203-7531 fax: +49-761-203-7537 room: 01 088 email: [EMAIL PROTECTED] ------------------------------------------------------------------------- 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 Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
