+ KV-j F^RIHtHtHt^RIHt^RIt^RItRRRlltR#))ListOptionalUnion) LLTokenizerNc V^8dQhR\PR\\,R\\\\ \,3,,R\\ \ ,,R\/#)vocabn_vocab eos_tokenslicesreturn) llama_cpp llama_vocab_printrrstrr)formats"d/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/llguidance/llamacpp.py __annotate__rs_==  " "= c]=c49n-.= T#Y  =  =c \P!V4pVf\P!V4pR p\P!V^,4p.p\ V4Fp\P !VVVV^R4p V ^8d\RV RV RV 24hW8:gQh\VRV 4p \P!W4p V \P,'gLV \P,'d8V PR4'd!V PR4'd RV ,p VPV 4K Ve$\V4V8dVPR 4K#\P !\PP"P$\P&4P(p \*P,!VVV VVR 7#) a Create a new tokenizer from a llama.cpp vocab object. This is an expensive operation (~1s), so the result should be cached. Args: vocab: llama_cpp.llama_vocab_p - the vocab object to use n_vocab: int - override the size of the vocabulary eos_token: int or list of ints - override the EOS token(s) slices: List[str] - configuration for slicer optimization; pass [] to disable, or None to use the default configuration NTzError writing token z to buffer of size z . Error: <>r)tokens vocab_ptr tokenize_fptrr r i@)rllama_vocab_n_tokensllama_vocab_eosctypescreate_string_bufferrangellama_token_to_piece ValueErrorbytesllama_token_get_attrLLAMA_TOKEN_ATTR_CONTROLLLAMA_TOKEN_ATTR_USER_DEFINED startswithendswithappendlencast_libllama_tokenizec_void_pvaluer from_llamacpp) r r r r ntok buffer_lenbufferrtokenntokattrfptrs &&&& rlltokenizer_from_vocabr:s&  ) )% 0D--e4 J  ( (a 8FFt  * *        q53E7:Mj\Ybcdbefg gF2AJ--e; )44 4 4 9:: : :t$$ T""C-C c-0&kG# MM#  ;;y**//>> P V VD  $ $  r)NNN) typingrrrr-rrrr:rrr=s(( ==r