g^(hvddlmZddlmZddlmZmZmZmZm Z  e e efZ dede ee ffdZdede defd Zy ) )STATE_DICT_TYPE)_version)OBJ_PATH set_elementSTATE_DICT_ITEMtraverse_state_dicttraverse_state_dict_v_2_3 state_dictreturnciidtdtddffd }tjduxrtjdk(}|rt ||fSt ||fS)a Flatten ``state_dict`` made of nested dicts and lists into a top level dictionary. Use ``unflatten_state_dict`` to revert this process. Returns: A tuple with the flatten state_dict and a mapping from original to new state_dict. N.B. The new keys are derived from the object paths, joined by dot. For example: ``{ 'a': {'b':...}}`` results in the key `a.b`. pathvaluer Nc|djtt|}|vrtd|||<||<y)N.zduplicated flatten key )joinmapstr ValueError)rrnew_fqn flattenedmappingss g/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/torch/distributed/checkpoint/_nested_dict.py flat_copyz%flatten_state_dict..flat_copy*sF((3sD>* i 6wi@A A" ' 2_3)rrr_derived_versionr r )r r use_v_2_3rrs @@rflatten_state_dictrs"$I "H!!!T! !!-T(2K2Ku2T!*i8 h  J 2 h rmappingcZi}|jD]\}}t|||||S)zaRestore the original nested state_dict according to ``mapping`` and the flattened ``state_dict``.)itemsr)r r nestedkeyrs runflatten_state_dictr%>s:!F &&(1 UFGCL%01 MrN)%torch.distributed.checkpoint.metadatarr _traverserrrr r dictrFLATTEN_MAPPINGtuplerr%rrr-sjBsH}%   ?O +, F*9r