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Limit memory used by ParallelIterable
ParallelIterable schedules 2 * WORKER_THREAD_POOL_SIZE tasks for processing input iterables. This defaults to 2 * # CPU cores. When one or some of the input iterables are considerable in size and the ParallelIterable consumer is not quick enough, this could result in unbounded allocation inside `ParallelIterator.queue`. This commit bounds the queue. When queue is full, the tasks yield and get removed from the executor. They are resumed when consumer catches up.
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