o ̳i{ @sddlmZddlZddlZddlmZmZddlZddl m Z ddl m Z ddlmZdedeeje jfdeeje jfd ed eejejff d d ZdS) N)CallableUnion)ExceptionWrapper) QUEUE_TIMEOUT worker_idin_qout_qudf stop_eventcCstd |r|rdSz |jdtd\}}Wn tjy%Yqwt|t r5|j ||fddn-t|t rD|j ||fddnz||}Wnt yXt dd}Ynw|j ||fddq) aX_apply_udf assumes in_q emits tuples of (x, idx) where x is the payload, idx is the index of the result, potentially used for maintaining ordered outputs. For every input it pulls, a tuple (y, idx) is put on the out_q where the output of udf(x), an ExceptionWrapper, or StopIteration (if it pulled StopIteration from in_q). rT)blocktimeoutF)r z in _apply_udf)whereN) torchset_num_threadsis_setemptygetrqueueEmpty isinstancerput StopIteration Exception)rrr r r itemidxyrN/home/ubuntu/.local/lib/python3.10/site-packages/torchdata/nodes/_apply_udf.py _apply_udfs(     r)multiprocessing.synchronize synchronizepython_mp_synchronizer threadingtypingrrrtorch.multiprocessingmultiprocessingmp torch._utilsr constantsrintQueueEventrrrrrs&