def imap_unordered(self, func, iterable, chunksize=1):
        if self._state != RUN:
            raise ValueError("Pool not running")
        if chunksize == 1:
            result = IMapUnorderedIterator(self._cache)
            self._taskqueue.put((((result._job, i, func, (x,), {})
                         for i, x in enumerate(iterable)), result._set_length))
            return result
        else:
            assert chunksize > 1
            task_batches = Pool._get_tasks(func, iterable, chunksize)
            result = IMapUnorderedIterator(self._cache)
            self._taskqueue.put((((result._job, i, mapstar, (x,), {})
                     for i, x in enumerate(task_batches)), result._set_length))
            return (item for chunk in result for item in chunk)
Like `imap()` method but ordering of results is arbitrary.
dataset/ETHPy150Open amrdraz/kodr/app/brython/www/src/Lib/multiprocessing/pool.py/Pool.imap_unordered