+ jaRt0t^RIt^RIHt^RIHt^RIHt^RIt^RI H t ^RI H t H t HtHt.t]^k]!RR44t] P$!].4!RR 4t]]3R R lltRR R /RRllltR#)N) dataclassBufferedIOBase)Any)_load_saveDEFAULT_PROTOCOL MAP_LOCATIONc,a]tRt^toV3RltRtVtR#)_Entryc><V^8dQh/S[;R&S[;R&S[;R&#)key is_storagelength)strboolint)format __classdict__s"a/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torch/distributed/_serialization.py __annotate___Entry.__annotate__s( H K N)__name__ __module__ __qualname____firstlineno____annotate_func____static_attributes____classdictcell__rs@rr r srr ca]tRt^toV3RlRltV3RlRltV3RlRltV3RlRltV3R lR ltV3R lR lt V3R lRlt V3RlRlt Rt Vt R#)_PseudoZipFilec<V^8dQhRR/#)rreturnNr)rrs"rr_PseudoZipFile.__annotate__s99$9rc/VnR#Nrecordsselfs&r__init___PseudoZipFile.__init__s 68 rc0<V^8dQhRS[RS[RS[RR/#)rrdatarr'N)robjectr)rrs"rrr(s)+++6+3+4+rc&W#3VPV&R#r*r+)r.rr2rs&&&&r write_record_PseudoZipFile.write_records!N Src$<V^8dQhRS[RR/#rfr'Nr)rrs"rrr(s??.?T?rc .pVPP4F=wpwrEVP\V\ V\ P 4VR74K? \P!W!\R7VPP4FwrF\ V\4'dVPV4K.\ V\4'd#VPVPR44Kf\ V\ P 4'dVPVRR^4K\!R\#V4 24h R#))rrr)protocolutf-8Fzunknown type: N)r,itemsappendr isinstancetorchUntypedStoragepickledumpr valuesbyteswriterencode _write_file TypeErrortype)r.r9entriesrr2r_s&& rwrite_to_PseudoZipFile.write_tos#'<<#5#5#7 C$ NN)$0D0DE! $8  G)9:||**,GD$&& D#&& G,-D%"6"677  E5!4.d =>>-rc$<V^8dQhRS[RR/#r8r)rrs"rrr(6s??>?d?rc\P!V4pVFpVPVP4pVP'dVP^8Xd\ P !^4pM4\ P!V\ PR7P4pVVP3VPVP&KWCP3VPVP&K R#)rdtypeN) _weights_only_unpicklerloadreadrrr@rA frombufferuint8untyped_storager,r)r.r9rKentryr2storages&& r read_from_PseudoZipFile.read_from6s)..q1E66%,,'D<<1$#2215G#..#kk&o' LL+ UYY' ,0*> UYY'!rc&<V^8dQhRS[RS[/#rrr')rr)rrs"rrr(Ks##c#d#rcWP9#r*r+r.rs&&r has_record_PseudoZipFile.has_recordKsll""rc&<V^8dQhRS[RS[/#r^)rr3)rrs"rrr(Ns$$c$f$rc6VPV,^,#)rr+r`s&&r get_record_PseudoZipFile.get_recordNs||C ##rcF<V^8dQhRS[RS[RS[RS[P/#)rr_length_typer')rrr@Tensor)rrs"rrr(Qs7EEE!$E-0E Erc~\P!VPV,^,\PR7#)rrQ)r@tensorr,rW)r.rrhris&&&&rget_storage_from_record&_PseudoZipFile.get_storage_from_recordQs'||DLL-a0 DDrc <V^8dQhRS[/#)rr')r)rrs"rrr(Vs#rcR#)torchftrr-s&rserialization_id_PseudoZipFile.serialization_idVsrr+N)rrrrr/r5rMr[rarermrrr!r"r#s@rr%r%sW99++??.??*##$$EE rr%c LV^8dQhR\R\R\R\RR/#)robjr9 pickle_modulepickle_protocolr'N)r3rrr)rs"rrrZs:    rc\\4p\VVVVRR7VPV4R#)a  Save the object to a file-like object in a streaming fashion compatible with network sockets. This behaves similarly to :func:`torch.save` with a few notable differences: * A non-seekable file like object can be used when loading. * No forwards/backwards compatibility is provided for the serialization format. This is only intended to be used with a single version of PyTorch with transient storage (i.e. sockets or temp files). * mmap is not supported See :func:`torch.save` for more details on specific arguments. F)zip_filervrw_disable_byteorder_recordN)r%rrM)rur9rvrwrys&&&& r_streaming_saver{Zs3*H  #'"'  ar weights_onlyTc `V^8dQhR\R\R\R\R\R\/#)rr9 map_locationrvr|pickle_load_argsr')rr rrr3)rs"rrrzsD$$$$$  $  $ $rc V'dVe \R4h\pM Vf\pRV9dRVR&\4pVP V4\ RRVRVRV/VB#)z Load the object from a file-like object in a streaming fashion compatible with network sockets. See :func:`_streaming_save` for more details about the streaming behavior. See :func:`torch.load` for more details on specific arguments. zDCan not safely load weights when explicit pickle_module is specifiedencodingr<ryr~rvr) RuntimeErrorrSrBr%r[r)r9r~rvr|rrys&&&$, r_streaming_loadrzs   $V 0  "M))'.$H q   ! $    rcVV^8dQh/^\9d\\,;R&#)r__all__)__conditional_annotations__listr)rs"rrrs cr)NN)rrB dataclassesriortypingrr@torch._weights_only_unpicklerrStorch.serializationrrr r rr _add_safe_globalsr%r{rr)rs@rrs ! ?LL   ))6(3??J + @$  $$r