o V۷i @slddlmZddlmZmZddlZddlmZ   d dejdeedeed eee d ef d d Z dS))copy)ListOptionalN) LLTokenizer hf_tokenizern_vocab eos_tokenslicesreturncCsTt|tjr&t|j}|||}|dur|j}t ||||dSt d)aN Create a new tokenizer from a fast Hugging Face tokenizer. This is an expensive operation (~1s), so the result should be cached. It currently only supports fast tokenizers, which are then handled by the Rust tokenizers library. Args: hf_tokenizer: transformers.PreTrainedTokenizerFast - the tokenizer to wrap n_vocab: int - override the size of the vocabulary eos_token: int - override the EOS token slices: List[str] - configuration for slicer optimization; pass [] to disable, or None to use the default configuration N)rr r z"Only fast tokenizers are supported) isinstance transformersPreTrainedTokenizerFastrbackend_tokenizer no_padding no_truncationto_str eos_token_idr ValueError)rrr r rsrC/home/ubuntu/vllm_env/lib/python3.10/site-packages/llguidance/hf.pyfrom_tokenizer s r)NNN) rtypingrrr _librrintstrrrrrrs$