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Adds a subclass of
random.Randomthat pulls from the ANU QRN server. It defaults to caching 1kb of raw binary data, and automatically fetches more on demand, or in the background when less than 64 bytes of random data remain. These parameters can be adjusted in theQuantumRandomconstructor: caching can be disabled by specifyingcached_bytes = None, and auto-fetching disabled withautofetch_at = None.get_data()also has a new parametertimeout, which is passed directly tourlopen(), and the other data-retrieving functions will pass their kwargs through so that timeout can be specified in any of them.Missing until the base idea is greenlit: