I don't know if it's the problem because I have currently no time to test
your code but check how many times that FOR inside a FOR inside a FOR
executes =)
(use logging.info('loop!') or something like that and check the code is not
asking for a lot of memory). In production, and only in production, not in
the devserver, the memory you use is inspected carefully, if you consume too
much, the instance is killed to protect the system.
The exception docs:
http://docs.python.org/library/exceptions.html#exceptions.MemoryError
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