ZjvSrSSKrSSKJr SSKJr \R "\5rSS0r Sr "S S \5r S /r g) zTokenization classes for ESM.N)PreTrainedTokenizer)logging vocab_file vocab.txtc[US5nUR5R5nUVs/sHo3R5PM snsSSS5 $s snf!,(df  g=f)Nr)openread splitlinesstrip)rflinesls y/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/esm/tokenization_esm.pyload_vocab_filersL j# !##%#()5a 5)  )  s#AA AA A(c ^\rSrSrSr\rSS/rSU4SjjrS\ S\ 4Sjr S \ S\ 4S jr S r S rS \ S\ 4S jrS\ S\ 4SjrSS\\ S\\ S-S\\ 4SjjrSS\S\S-S\S\\ 4SjjrSr\S\ 4Sj5rSrU=r$) EsmTokenizer!z Constructs an ESM tokenizer. input_idsattention_maskc Z>[U5Ul[[UR55Ul[UR5VV s0sHupX_M sn nUl[ T U]"SUUUUUS.UD6 URUlURUR5 gs sn nf)N) unk_token cls_token pad_token mask_token eos_token) r all_tokensdict enumerate _id_to_token _token_to_idsuper__init__unique_no_split_tokens _update_trie) selfrrrrrrkwargsindtok __class__s rr%EsmTokenizer.__init__)s**5 4??!;<6?6PQ6P(#SX6PQ  !    '+oo# $556Rs B'indexreturncLURRXR5$Nr"getrr(r.s r_convert_id_to_token!EsmTokenizer._convert_id_to_tokenE  $$UNN;;tokenc~URRXRRUR55$r1r#r3rr(r9s r_convert_token_to_id!EsmTokenizer._convert_token_to_idH.  $$U,=,=,A,A$..,QRRr8c "UR5$r1)split)r(textr)s r _tokenizeEsmTokenizer._tokenizeKszz|r8cpURR5nURUR5 U$r1)r#copyupdateadded_tokens_encoder)r( base_vocabs r get_vocabEsmTokenizer.get_vocabNs0&&++- $334r8c~URRXRRUR55$r1r;r<s r token_to_idEsmTokenizer.token_to_idSr?r8cLURRXR5$r1r2r4s r id_to_tokenEsmTokenizer.id_to_tokenVr7r8N token_ids_0 token_ids_1cUR/nUR/nUcURcX1-$X1-U-$URc [S5eX1-U-U-U-$)Nz=Cannot tokenize multiple sequences when EOS token is not set!) cls_token_id eos_token_id ValueError)r(rRrSclsseps r build_inputs_with_special_tokens-EsmTokenizer.build_inputs_with_special_tokensYsy  !  !    ((((3..    &\] ] 3&4s::r8already_has_special_tokenscU(a2Ub [S5eUVs/sHoDUR;aSOSPM sn$S/S/[U5--S/-nUbUS/[U5-S/-- nU$s snf)at Retrieves sequence ids from a token list that has no special tokens added. This method is called when adding special tokens using the tokenizer `prepare_for_model` or `encode_plus` methods. Args: token_ids_0 (`list[int]`): List of ids of the first sequence. token_ids_1 (`list[int]`, *optional*): List of ids of the second sequence. already_has_special_tokens (`bool`, *optional*, defaults to `False`): Whether or not the token list is already formatted with special tokens for the model. Returns: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token. zYou should not supply a second sequence if the provided sequence of ids is already formatted with special tokens for the model.r)rWall_special_idslen)r(rRrSr\r9masks rget_special_tokens_mask$EsmTokenizer.get_special_tokens_maskgs$ && R LWW;%$"6"66AA=;W WsqcC ,,-3  " QC#k**aS0 0D XsA,c[RRX(aUS-OSS-5n[US5nUR SRUR 55 SSS5 U4$!,(df  U4$=f)N-rw )ospathjoinr writer)r(save_directoryfilename_prefixrrs rsave_vocabularyEsmTokenizer.save_vocabularysiWW\\.O?S3Hacgr2rs *c "a GGDIIdoo. /#}# "}s +A11 Bc,[UR5$r1)r`r)r(s r vocab_sizeEsmTokenizer.vocab_sizes4??##r8)r"r#rr&)zzzzzr1)NF)__name__ __module__ __qualname____firstlineno____doc__VOCAB_FILES_NAMESvocab_files_namesmodel_input_namesr%intstrr5r=rCrJrMrPlistrZboolrbropropertyrr__static_attributes__ __classcell__)r,s@rrr!s*$&67 78<#<#<S#S#S SSS<<<GK ;9 ;379t3C ; c ;fk.2Tk^b c> $C$$r8r) rxritokenization_pythonrutilsr get_loggerrtloggerryrr__all__rr8rrsO$ 6   H %!;/* m$&m$`  r8