+ j+^RIt^RIt^RIt^RIHt^RIHt^RIHtH t RR.t ]] ,t ] ] ]] R3,3,tRR ltR R ltR R ltRRRlltRRltR#)N) Collection)dill_available) IterDataPipe MapDataPipetraverse traverse_dps DataPipeGraphc$V^8dQhR\/#)return)str)formats"W/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torch/utils/data/graph.py __annotate__rscR#)STUBrrr_stub_unpicklerrs rc tV^8dQhR\R\R\\,R\\,/#)r scan_obj only_datapipecacher )DataPipeboolsetintlist)rs"rrrs:A A A '+A 47HA  (^A rcNaaa \P!4p\P!V4p\ 4'd^RIHpV!V4pMRp.o RpVV V3Rlp\ \3p V F/p V PV4V'gKV PV4K1 VPS4T F/p T PR4T'gKT PR4K1 \ 4'd^RIHp T !R4S # \P\\3d&\ 4'dTPS4Lhi;i T F/p T PR4T'gKT PR4K1 \ 4'd^RIHp T !R4ii;i)r)PicklerNcRp\V\4'dE/pVP4F,wr#\V\\\ 34'gK(W1V&K. V#\V\ \34'dB.pVF7p\V\\\ 34'gK&VPV4K9 V#\V\\\ 34'dTpV#N) isinstancedictitemsrrrtuplerappend) ori_statestatekvs& r getstate_hook0_list_connected_datapipes..getstate_hook's i & &E!)a, Z!HII !H*  E4= 1 1Ea, Z!HIILLO   L+z#J K KE rc<VS8Xg\V4S9d\hSPV4SP\V44\R3#)Nr)idNotImplementedErrorr'addr)objrcaptured_connectionsrs&r reduce_hook._list_connected_datapipes..reduce_hook7sD (?bg.% % ' ' , IIbg "B& &r)extendF)ioBytesIOpickler rdillrrset_reduce_ex_hookset_getstate_hookdump PickleErrorAttributeError TypeErrorr6) rrrfp dill_Picklerdr,r4datapipe_classescls dill_extendr3s f&f @r_list_connected_datapipesrHsc A  A0 O  '0<[.I#C  " "; /}%%m4$  FF8 $C  " "4 (}%%d+$    2   ""NI> x   $C  " "4 (}%%d+$    2   s7*E E DAE E E  EF$/5F$c0V^8dQhR\R\/#)r datapiper )rr )rs"rrr[sGG8G Grc2\4p\VRVR7#)a Traverse the DataPipes and their attributes to extract the DataPipe graph. This only looks into the attribute from each DataPipe that is either a DataPipe and a Python collection object such as ``list``, ``tuple``, ``set`` and ``dict``. Args: datapipe: the end DataPipe of the graph Returns: A graph represented as a nested dictionary, where keys are ids of DataPipe instances and values are tuples of DataPipe instance and the sub-graph T)rr)r_traverse_helper)rJrs& rrr[seE HD FFrcJV^8dQhR\R\R,R\/#)r rJrNr )rrr )rs"rrrms%<r`sc &4I ~ & + %S%/ 9::;  A HG$