+ ~jJ^RIt^RIt^RIHt^RIHtHt^RIHt] t ] t ]R ,t ]!RR44t ]!RR44t]!R R 44tR#) N) defaultdict) dataclassfield)LiteralcTa]tRt^ toRt]!RR7tV3RlRltV3RltRt Vt R#) TensorInfoaInformation about a tensor. For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. Attributes: dtype (`str`): The data type of the tensor ("F64", "F32", "F16", "BF16", "I64", "I32", "I16", "I8", "U8", "BOOL"). shape (`list[int]`): The shape of the tensor. data_offsets (`tuple[int, int]`): The offsets of the data in the file as a tuple `[BEGIN, END]`. parameter_count (`int`): The number of parameters in the tensor. Finitc<V^8dQhRR/#returnN)format __classdict__s"w/Users/mitch_tango/dev/rabbit-r1-livekit/agent/.venv/lib/python3.14/site-packages/huggingface_hub/utils/_safetensors.py __annotate__TensorInfo.__annotate__#s%%t%c\P!\PVP4VnR# \ d ^TnR#i;i)N) functoolsreduceoperatormulshapeparameter_count TypeError)selfs&r __post_init__TensorInfo.__post_init__#s; %#,#3#3HLL$**#MD  %#$D  %s48A Acp<V^8dQh/S[;R&S[S[,;R&S[S[S[3,;R&S[;R&#)r dtyper data_offsetsr)DTYPE_Tlistinttuple)rrs"rrr sD" N#$ 9%&S/!'(,)rrN __name__ __module__ __qualname____firstlineno____doc__rrr __annotate_func____static_attributes____classdictcell__rs@rrr s' $!e,O%%-rrcTa]tRt^+toRt]!RR7tV3RlRltV3RltRt Vt R#) SafetensorsFileMetadataaMetadata for a Safetensors file hosted on the Hub. This class is returned by [`parse_safetensors_file_metadata`]. For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. Attributes: metadata (`dict`): The metadata contained in the file. tensors (`dict[str, TensorInfo]`): A map of all tensors. Keys are tensor names and values are information about the corresponding tensor, as a [`TensorInfo`] object. parameter_count (`dict[str, int]`): A map of the number of parameters per data type. Keys are data types and values are the number of parameters of that data type. Fr c<V^8dQhRR/#r r)rrs"rr$SafetensorsFileMetadata.__annotate__Bs55t5rc\\4pVPP4F+pWP;;,VP , uu&K- \ V4VnR#N)rr'tensorsvaluesr#rdict)rrtensors& rr %SafetensorsFileMetadata.__post_init__BsH.9#.>ll))+F LL )V-C-C C ),#O4rc<V^8dQh/S[S[S[3,;R&S[S[S[3,;R&S[S[S[3,;R&#)r metadatar:r)r<str TENSOR_NAME_Trr%r')rrs"rrr7+sG&38n'(-+ ,,)*'3,';+rr)Nr*r3s@rr5r5+s'&+0U*;O55/rr5cTa]tRt^ItoRt]!RR7tV3RlRltV3RltRt Vt R#) SafetensorsRepoMetadataaMetadata for a Safetensors repo. A repo is considered to be a Safetensors repo if it contains either a 'model.safetensors' weight file (non-shared model) or a 'model.safetensors.index.json' index file (sharded model) at its root. This class is returned by [`get_safetensors_metadata`]. For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. Attributes: metadata (`dict`, *optional*): The metadata contained in the 'model.safetensors.index.json' file, if it exists. Only populated for sharded models. sharded (`bool`): Whether the repo contains a sharded model or not. weight_map (`dict[str, str]`): A map of all weights. Keys are tensor names and values are filenames of the files containing the tensors. files_metadata (`dict[str, SafetensorsFileMetadata]`): A map of all files metadata. Keys are filenames and values are the metadata of the corresponding file, as a [`SafetensorsFileMetadata`] object. parameter_count (`dict[str, int]`): A map of the number of parameters per data type. Keys are data types and values are the number of parameters of that data type. Fr c<V^8dQhRR/#r r)rrs"rr$SafetensorsRepoMetadata.__annotate__js55t5rc\\4pVPP4F:pVPP 4Fwr4W;;,V, uu&K K< \ V4VnR#r9)rr'files_metadatar;ritemsr<)rr file_metadatar#nb_parameters_s& rr %SafetensorsRepoMetadata.__post_init__js_.9#.>!00779M)6)F)F)L)L)N%&.8&*O: $O4rc<V^8dQh/S[R,;R&S[;R&S[S[S[3,;R&S[S[S[3,;R&S[S[S[3,;R&#)r Nr@sharded weight_maprHr)r<boolrB FILENAME_Tr5r%r')rrs"rrrFIsg6Tk78M9:]J.//;<%<<===>'3,';?rr)Nr*r3s@rrDrDIs(:+0U*;O55CrrD) F64F32F16BF16I64I32I16I8U8BOOL)rr collectionsr dataclassesrrtypingrrArQrBr%rr5rDrrrr_sv#(  V W %% %: 55 5: %5%5 %5r