+ KV-jy^^RIHtHtHtHt^RIHt]'d^RItRRRRRR/RRlltR#) )ListOptionalUnion TYPE_CHECKING) LLTokenizerNn_vocab eos_tokenslicesc V^8dQhRRR\\,R\\\\\,3,,R\\\,,R\ /#)encodingztiktoken.Encodingrr r return)rintrrstrr)formats"d/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/llguidance/tiktoken.py __annotate__r s[!c]c49n-.  T#Y    c \P!VPVPVPVf VP MTVVR7#)a Create a new tokenizer from a tiktoken Encoding object. This is an expensive operation (~1s), so the result should be cached. Args: encoding: tiktoken.Encoding - the encoding 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 )encoderspecial_tokenspatternr rr )r from_tiktoken_mergeable_ranks_special_tokens_pat_str eot_token)r rr r s&$$$rlltokenizer_from_encodingr sH&  $ $))//!!(1(9($$y  r) typingrrrr_librtiktokenrrrr#s<77"26  #' r