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Multiprocessing queues for numpy arrays using shared memory

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Hello! I wanted to know, when adding an element to a queue that is full, like in this test: ``` def test(): shape = (100, 100) num_elements = 10 data...

Great project! As far as I can tell, ArrayQueue does not use any locks and does not support more than one process each for writing (.put) or reading (.get) from...