+ &j%b^RIHtHt^RIHtHtRR.t]!RR]44t]!R]R7tR#))AnyTypeVar)Protocolruntime_checkableStateful StatefulTcHa]tRt^toRtV3RlRltV3RlRltRtVtR#)rzF Stateful protocol for objects that can be checkpointed and restored. c6<V^8dQhRS[S[S[3,/#)returndictstrr)format __classdict__s"}/Users/jameslopez/projects/CWCArchive/cwc-podcast/.venv/lib/python3.14/site-packages/torch/distributed/checkpoint/stateful.py __annotate__Stateful.__annotate__s  DcN c R#)ai Objects should return their state_dict representation as a dictionary. The output of this function will be checkpointed, and later restored in `load_state_dict()`. .. warning:: Because of the inplace nature of restoring a checkpoint, this function is also called during `torch.distributed.checkpoint.load`. Returns: Dict: The objects state dict N)selfs&r state_dictStateful.state_dicts rc:<V^8dQhRS[S[S[3,RR/#)r rr Nr )rrs"rrrs#  $sCx. T rc R#)zp Restore the object's state from the provided state_dict. Args: state_dict: The state dict to restore from Nr)rrs&&rload_state_dictStateful.load_state_dicts rrN) __name__ __module__ __qualname____firstlineno____doc__rr__static_attributes____classdictcell__)rs@rrrs  "  r)boundN) typingrrtyping_extensionsrr__all__rrrrrr*sA9 { # x  B Kx 0 r