I've been trying to track down a memory leak (which I initially attributed erroneously to numpy) and it turns out to be caused by a memory mapped file. It seems that mmap caches without limit the chunks it reads, as the memory usage grows to several hundreds MBs according to the Windows task manager before it dies with a MemoryError. I'm positive that these chunks are not referenced anywhere else; in fact if I change the mmap object to a normal file, memory usage remains constant. The documentation of mmap doesn't mention anything about this. Can the caching strategy be modified at the user level ?
George -- http://mail.python.org/mailman/listinfo/python-list
