@hNSSKJr SSKJrJrJr SSKJrJrJ r "SS\5r g)) annotations)AnyOptionalcast) TextSplitter Tokenizersplit_text_on_tokensc^\rSrSr%SrS S U4SjjjrSSjrSSjrSSjrSr S\ S 'SS jr S r U=r $)%SentenceTransformersTokenTextSplitterz8Splitting text to tokens using sentence model tokenizer.intc >[TU]"S0UDSU0D6 SSKJn X lU"UR 5UlUR RUlURUS9 g![a Sn[ U5ef=f)zCreate a new TextSplitter. chunk_overlapr)SentenceTransformerzCould not import sentence_transformers python package. This is needed in order to for SentenceTransformersTokenTextSplitter. Please install it with `pip install sentence-transformers`.)tokens_per_chunkN) super__init__sentence_transformersr ImportError model_name_model tokenizer_initialize_chunk_configuration)selfrrrkwargsrmsg __class__s f/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_text_splitters/sentence_transformers.pyr.SentenceTransformersTokenTextSplitter.__init__ s ?6?? # A%)$//: .. ,,>N,O #N  c" "  #s A%%A=cURRUlUcURUlOXlURUR:a5SURSURSURS3n[ U5eg)NzThe token limit of the models 'z' is: z. Argument tokens_per_chunk=z > maximum token limit.)rmax_seq_lengthmaximum_tokens_per_chunkrr ValueError)rrrs rrESentenceTransformersTokenTextSplitter._initialize_chunk_configuration$s)- (B(B%  #$($A$AD !$4 !  4#@#@ @1$//1BC5567..2.C.C-D)+  S/ ! Ac^SU4Sjjn[TRTRTRRUS9n[ XS9$)aSplits the input text into smaller components by splitting text on tokens. This method encodes the input text using a private `_encode` method, then strips the start and stop token IDs from the encoded result. It returns the processed segments as a list of strings. Args: text (str): The input text to be split. Returns: List[str]: A list of string components derived from the input text after encoding and processing. c,>TRU5SS$)N)_encode)textrs r%encode_strip_start_and_stop_token_ids_SentenceTransformersTokenTextSplitter.split_text..encode_strip_start_and_stop_token_idsFs<<%a+ +r&)rrdecodeencode)r,rr,strreturn list[int])r_chunk_overlaprrr/r )rr,r-rs` r split_text0SentenceTransformersTokenTextSplitter.split_text7sC ,--!22>>((8  $CCr&c6[URU55$)aACounts the number of tokens in the given text. This method encodes the input text using a private `_encode` method and calculates the total number of tokens in the encoded result. Args: text (str): The input text for which the token count is calculated. Returns: int: The number of tokens in the encoded text. )lenr+)rr,s r count_tokens2SentenceTransformersTokenTextSplitter.count_tokensRs4<<%&&r&l _max_length_equal_32_bit_integercdURRUURSS9n[SU5$)Ndo_not_truncate) max_length truncationr4)rr0r<r)rr,&token_ids_with_start_and_end_token_idss rr+-SentenceTransformersTokenTextSplitter._encodebs<151F1F <<(2G2 . K!GHHr&)rr#rrr)2z'sentence-transformers/all-mpnet-base-v2N) rr rr2r Optional[int]rrr3None)rrDr3rE)r,r2r3z list[str])r,r2r3r r1)__name__ __module__ __qualname____firstlineno____doc__rrr6r:r<__annotations__r+__static_attributes__ __classcell__)rs@rr r sB C*. PPP( P  P  PP2"#0" "&D6 '-2$c1IIr&r N) __future__rtypingrrrlangchain_text_splitters.baserrr r rr&rrQs$"&&WW`IL`Ir&