U ,-e<@sdZddlZddlZddlZddlZddlmZmZddlm Z m Z m Z m Z ddl mZeeZddd Zd d id d id Zd d iZddZGdddeZddZddZGddde ZdS)z$Tokenization classes for OpenAI GPT.N)OptionalTuple)PreTrainedTokenizer _is_control_is_punctuation_is_whitespace)loggingz vocab.jsonz merges.txt) vocab_file merges_filez openai-gptz9https://huggingface.co/openai-gpt/resolve/main/vocab.jsonz9https://huggingface.co/openai-gpt/resolve/main/merges.txticCs|}|sgS|}|S)z@Runs basic whitespace cleaning and splitting on a piece of text.)stripsplit)texttokensro/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/transformers/models/openai/tokenization_openai.pywhitespace_tokenize.s rc@sNeZdZdZdddZdddZdd Zdd d Zd d ZddZ ddZ dS)BasicTokenizera Constructs a BasicTokenizer that will run basic tokenization (punctuation splitting, lower casing, etc.). Args: do_lower_case (`bool`, *optional*, defaults to `True`): Whether or not to lowercase the input when tokenizing. never_split (`Iterable`, *optional*): Collection of tokens which will never be split during tokenization. Only has an effect when `do_basic_tokenize=True` tokenize_chinese_chars (`bool`, *optional*, defaults to `True`): Whether or not to tokenize Chinese characters. This should likely be deactivated for Japanese (see this [issue](https://github.com/huggingface/transformers/issues/328)). strip_accents (`bool`, *optional*): Whether or not to strip all accents. If this option is not specified, then it will be determined by the value for `lowercase` (as in the original BERT). do_split_on_punc (`bool`, *optional*, defaults to `True`): In some instances we want to skip the basic punctuation splitting so that later tokenization can capture the full context of the words, such as contractions. TNcCs2|dkr g}||_t||_||_||_||_dSN) do_lower_caseset never_splittokenize_chinese_chars strip_accentsdo_split_on_punc)selfrrrrrrrr__init__Os zBasicTokenizer.__init__cCs|r|jt|n|j}||}|jr4||}td|}t|}g}|D]R}||kr|j r| }|j dk r| |}n|j r| |}| |||qPtd|}|S)aj Basic Tokenization of a piece of text. For sub-word tokenization, see WordPieceTokenizer. Args: never_split (`List[str]`, *optional*) Kept for backward compatibility purposes. Now implemented directly at the base class level (see [`PreTrainedTokenizer.tokenize`]) List of token not to split. NFCF )runionr _clean_textr_tokenize_chinese_chars unicodedata normalizerrlowerr_run_strip_accentsextend_run_split_on_puncjoin)rrrZunicode_normalized_textZ orig_tokens split_tokenstokenZ output_tokensrrrtokenize_s$       zBasicTokenizer.tokenizecCsBtd|}g}|D]"}t|}|dkr,q||qd|S)z$Strips accents from a piece of text.ZNFDZMn)r"r#categoryappendr()rroutputcharcatrrrr%s   z!BasicTokenizer._run_strip_accentscCs|jr|dk r||kr|gSt|}d}d}g}|t|kr||}t|r^||gd}n |rl|gd}|d||d7}q0dd|DS) z&Splits punctuation on a piece of text.NrTFcSsg|]}d|qS)r,)r().0xrrr sz5BasicTokenizer._run_split_on_punc..)rlistlenrr.)rrrcharsiZstart_new_wordr/r0rrrr's"    z!BasicTokenizer._run_split_on_punccCsTg}|D]@}t|}||r>|d|||dq||qd|S)z)Adds whitespace around any CJK character.rr,)ord_is_chinese_charr.r(rrr/r0cprrrr!s     z&BasicTokenizer._tokenize_chinese_charscCs|dkr|dks|dkr |dks|dkr0|dks|dkr@|dks|d krP|d ks|d kr`|d ks|d krp|dks|dkr|dkrdSdS)z6Checks whether CP is the codepoint of a CJK character.iNii4iMiiߦii?i@ii iiiiiTFr)rr>rrrr<sD  zBasicTokenizer._is_chinese_charcCsXg}|D]D}t|}|dks|dkst|r.qt|rB|dq||qd|S)zBPerforms invalid character removal and whitespace cleanup on text.rirr,)r;rrr.r(r=rrrr s  zBasicTokenizer._clean_text)TNTNT)N)N) __name__ __module__ __qualname____doc__rr+r%r'r!r<r rrrrr8s  &  rcCs6t}|d}|ddD]}|||f|}q|S)z Return set of symbol pairs in a word. word is represented as tuple of symbols (symbols being variable-length strings) rr3N)radd)wordpairsZ prev_charr0rrr get_pairss rFcCsn|dd}|dd}|dd}|dd}|dd}td d |}td d |}td d|}|S)zm fixes some issues the spacy tokenizer had on books corpus also does some whitespace standardization u—-u–u―u…z...´'zD(-+|~+|!+|"+|;+|\?+|\++|,+|\)+|\(+|\\+|\/+|\*+|\[+|\]+|}+|{+|\|+|_+)z \1 z\s*\n\s*z z[^\S\n]+r)replaceresubr )rrrrtext_standardizes     rMcseZdZdZeZeZeZ ddgZ dfdd Z e ddZ e d d Zd d Zd dZddZddZddZddZdeeeeedddZZS)OpenAIGPTTokenizera( Construct a GPT Tokenizer. Based on Byte-Pair-Encoding with the following peculiarities: - lowercases all inputs, - uses `SpaCy` tokenizer and `ftfy` for pre-BPE tokenization if they are installed, fallback to BERT's `BasicTokenizer` if not. This tokenizer inherits from [`PreTrainedTokenizer`] which contains most of the main methods. Users should refer to this superclass for more information regarding those methods. Args: vocab_file (`str`): Path to the vocabulary file. merges_file (`str`): Path to the merges file. unk_token (`str`, *optional*, defaults to `""`): The unknown token. A token that is not in the vocabulary cannot be converted to an ID and is set to be this token instead. Z input_idsZattention_maskc sz.ddl}ddlm}|}|j|_|j|_Wn0tk r^tdt dd|_d|_YnXt |dd}t ||_ W5QRXdd |j D|_t |dd} | d d d } W5QRXd d| D} tt| tt| |_i|_tjfd|i|dS)Nr)EnglishzQftfy or spacy is not installed using BERT BasicTokenizer instead of SpaCy & ftfy.T)rutf-8encodingcSsi|]\}}||qSrr)r4kvrrr sz/OpenAIGPTTokenizer.__init__.. r3r2cSsg|]}t|qSr)tupler )r4mergerrrr6!sz/OpenAIGPTTokenizer.__init__.. unk_token)ftfyZ spacy.lang.enrPZ tokenizernlpfix_text ImportErrorloggerwarningropenjsonloadencoderitemsdecoderreadr dictzipranger8 bpe_rankscachesuperr) rr r rZkwargsr[rPZ_nlpZ vocab_handleZ merges_handleZmerges __class__rrrs&      zOpenAIGPTTokenizer.__init__cCsdS)NTrrrrrr'sz OpenAIGPTTokenizer.do_lower_casecCs t|jSr)r8rdrqrrr vocab_size+szOpenAIGPTTokenizer.vocab_sizecCst|jf|jSr)rhrdZadded_tokens_encoderrqrrr get_vocab/szOpenAIGPTTokenizer.get_vocabc st|dd|ddf}|jkr2j|St|}|sF|dSt|fddd}|jkrhqf|\}}g}d}|t|krcsj|tdS)Ninf)rkgetfloat)pairrqrr<z(OpenAIGPTTokenizer.bpe..keyrr3rz z ) rXrlrFminrkr8index ValueErrorr&r.r() rr*rDrEZbigramfirstsecondZnew_wordr:jrrqrbpe2sF    2      zOpenAIGPTTokenizer.bpecCsg}|jdkr@|j|}|D]}|t||dqn>|t||}|D]$}|t||j dqX|S)zTokenize a string.Nr) r]r\r+r&r7rr rMrr$)rrr)r*rrr _tokenize^s  "zOpenAIGPTTokenizer._tokenizecCs|j||j|jS)z0Converts a token (str) in an id using the vocab.)rdrvrZ)rr*rrr_convert_token_to_idmsz'OpenAIGPTTokenizer._convert_token_to_idcCs|j||jS)z0Converts an id in a token (BPE) using the vocab.)rfrvrZ)rrrrr_convert_id_to_tokenqsz'OpenAIGPTTokenizer._convert_id_to_tokencCsd|dd}|S)z:Converts a sequence of tokens (string) in a single string.r,rtr)r(rJr )rrZ out_stringrrrconvert_tokens_to_stringusz+OpenAIGPTTokenizer.convert_tokens_to_stringN)save_directoryfilename_prefixreturnc Cs(tj|s"td|ddStj||r6|dndtd}tj||rX|dndtd}t|ddd $}|t j |j d d d d dW5QRXd}t|ddd j}|dt |j dddD]B\}} || krtd|d| }|d|d|d7}qW5QRX||fS)NzVocabulary path (z) should be a directoryrGr,r r wrQrRr}TF)indent sort_keys ensure_asciirWrz#version: 0.2 cSs|dS)Nr3r)kvrrrryrzz4OpenAIGPTTokenizer.save_vocabulary..r{zSaving vocabulary to zZ: BPE merge indices are not consecutive. Please check that the tokenizer is not corrupted!rr3)ospathisdirr_errorr(VOCAB_FILES_NAMESrawriterbdumpsrdsortedrkrer`) rrrr Z merge_filefrwriterZ bpe_tokensZ token_indexrrrsave_vocabularyzs2 (  z"OpenAIGPTTokenizer.save_vocabulary)rO)N)r?r@rArBrZvocab_files_namesPRETRAINED_VOCAB_FILES_MAPZpretrained_vocab_files_map&PRETRAINED_POSITIONAL_EMBEDDINGS_SIZESZmax_model_input_sizesZmodel_input_namesrpropertyrrrrsrrrrrstrrrr __classcell__rrrorrNs"  ,rN)rBrbrrKr"typingrrZtokenization_utilsrrrrutilsr Z get_loggerr?r_rrrrobjectrrFrMrNrrrrs.   "