+ jv^RIt^RIHt^RIHtHt^RIHtR.tRt ]RRl4t ]]R R l44t R#) N Generator)contextmanager ExitStack)record worker_mainTORCH_WORKER_SERVER_SOCKETc>V^8dQhR\R\R,/#) socket_pathreturnNNN)strr)formats"h/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torch/distributed/elastic/control_plane.py __annotate__rs  2B(Cc#~"^RIHpV!V4pRxVP4R# TP4i;i5i)r) _WorkerServerN)torch._C._distributed_c10drshutdown)r rservers& r_worker_serverrs.8 ; 'F s=(=:=c2V^8dQhR\R,/#)r r rr)rs"rrrsY/0rc#"\4;_uu_4p\PP\4pVeVP \ V44RxRRR4R# +'giR#;i5i)aK This is a context manager that wraps your main entry function. This combines the existing ``errors.record`` logic as well as a new ``_WorkerServer`` that exposes handlers via a unix socket specified by ``TORCH_WORKER_SERVER_SOCKET``. Example :: @worker_main() def main(): pass if __name__ == "__main__": main() N)rosenvirongetr enter_contextr)stackr s rrrsJ, jjnn%?@  "   { ; < sA9AA% A9% A6 0 A9) rcollections.abcr contextlibrr0torch.distributed.elastic.multiprocessing.errorsr__all__r rrrrr&sU %0C :r