Hrvoje Niksic <[EMAIL PROTECTED]> wrote: > Signal <[EMAIL PROTECTED]> writes: > > > 2. Is there anyway to somehow to take advantage of this "caching" by > > initializing it without reading through the entire file first? > > > > 3. If the answer to #2 is No, then is there a way to purge this > > "cache" in order to get a more accurate result in my routine? That > > is without having to read another large file first? > > On a Unix system the standard way to purge the cache is to unmount the > file system and remount it.
If you are running linux > 2.6.18 then you can use /proc/sys/vm/drop_caches for exactly that purpose. http://www.linuxinsight.com/proc_sys_vm_drop_caches.html Eg # free total used free shared buffers cached Mem: 1036396 954404 81992 0 33536 347384 # echo 1 > /proc/sys/vm/drop_caches # free total used free shared buffers cached Mem: 1036396 658604 377792 0 348 91240 # echo 2 > /proc/sys/vm/drop_caches # free total used free shared buffers cached Mem: 1036396 587296 449100 0 392 91284 # echo 3 > /proc/sys/vm/drop_caches # free total used free shared buffers cached Mem: 1036396 588228 448168 0 692 91808 -- Nick Craig-Wood <[EMAIL PROTECTED]> -- http://www.craig-wood.com/nick -- http://mail.python.org/mailman/listinfo/python-list
