a hJP@sdZddlZddlZddlZddlmZddlmZddlZ ddl m Z m Z m Z mZmZddlmZeeZdd d Zed d Zd dZddZddZGdddZGddde ZdgZdS)zTokenization classes for CLIP.N) lru_cache)Optional) AddedTokenPreTrainedTokenizer _is_control_is_punctuation_is_whitespace)loggingz vocab.jsonz merges.txt) vocab_file merges_filecCstttdtddtttdtddtttdtdd}|dd}d }td D],}||vrf|||d ||d7}qfd d |D}tt||S) a8 Returns list of utf-8 byte and a mapping to unicode strings. We specifically avoids mapping to whitespace/control characters the bpe code barfs on. The reversible bpe codes work on unicode strings. This means you need a large # of unicode characters in your vocab if you want to avoid UNKs. When you're at something like a 10B token dataset you end up needing around 5K for decent coverage. This is a significant percentage of your normal, say, 32K bpe vocab. To avoid that, we want lookup tables between utf-8 bytes and unicode strings. !~¡¬®ÿNrcSsg|] }t|qS)chr).0nrrf/var/www/html/assistant/venv/lib/python3.9/site-packages/transformers/models/clip/tokenization_clip.py :z$bytes_to_unicode..)listrangeordappenddictzip)bscsrbrrrbytes_to_unicode%s L    r%cCs6t}|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). rrN)setadd)wordpairsZ prev_charcharrrr get_pairs>s r+cCstdd|}|}|S)Nz\s+ )resubstrip)textrrrwhitespace_cleanLsr1cCs|}|sgS|}|S)z@Runs basic whitespace cleaning and splitting on a piece of text.)r/split)r0tokensrrrwhitespace_tokenizeSs r4c@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|dur g}||_t||_||_||_||_dSN) do_lower_caser& never_splittokenize_chinese_chars strip_accentsdo_split_on_punc)selfr7r8r9r:r;rrr__init__ts zBasicTokenizer.__init__cCs|r|jt|n|j}||}|jr4||}td|}t|}g}|D]R}||vr|j r| }|j dur| |}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. NFCFr,)r8unionr& _clean_textr9_tokenize_chinese_chars unicodedata normalizer4r7lowerr:_run_strip_accentsextend_run_split_on_puncjoin)r<r0r8Zunicode_normalized_textZ orig_tokensZ split_tokenstokenZ output_tokensrrrtokenizes$       zBasicTokenizer.tokenizecCsBtd|}g}|D]"}t|}|dkr,q||qd|S)z$Strips accents from a piece of text.ZNFDZMn)rBrCcategoryrrH)r<r0outputr*catrrrrEs   z!BasicTokenizer._run_strip_accentscCs|jr|dur||vr|gSt|}d}d}g}|t|kr||}t|r^||gd}n |rl|gd}|d||d7}q0dd|DS) z&Splits punctuation on a piece of text.NrTFrcSsg|]}d|qS)rK)rH)rxrrrrrz5BasicTokenizer._run_split_on_punc..)r;rlenrr)r<r0r8charsiZstart_new_wordrMr*rrrrGs"    z!BasicTokenizer._run_split_on_punccCsTg}|D]@}t|}||r>|d|||dq||qd|S)z)Adds whitespace around any CJK character.r,rK)r_is_chinese_charrrHr<r0rMr*cprrrrAs     z&BasicTokenizer._tokenize_chinese_charscCs|dkr|dks|dkr |dks|dkr0|dks|dkr@|dks|d krP|d ks|d kr`|d ks|d krp|dks|dkr|dkrdSdS)z6Checks whether CP is the codepoint of a CJK character.iNii4iMiiߦii?i@ii iiiiiTFr)r<rVrrrrTsD  zBasicTokenizer._is_chinese_charcCsXg}|D]D}t|}|dks|dkst|r.qt|rB|dq||qd|S)zBPerforms invalid character removal and whitespace cleanup on text.rir,rK)rrr rrHrUrrrr@s  zBasicTokenizer._clean_text)TNTNT)N)N) __name__ __module__ __qualname____doc__r=rJrErGrArTr@rrrrr5]s  &  r5cseZdZdZeZddgZd$fdd Zed d Z d d Z d%e e e e e e e dddZd&e e e e e ee e dfdd Zd'e e e e e e e dddZddZddZddZddZdd Zd(ee eeed!d"d#ZZS)) CLIPTokenizera Construct a CLIP tokenizer. Based on byte-level Byte-Pair-Encoding. 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. errors (`str`, *optional*, defaults to `"replace"`): Paradigm to follow when decoding bytes to UTF-8. See [bytes.decode](https://docs.python.org/3/library/stdtypes.html#bytes.decode) for more information. unk_token (`str`, *optional*, defaults to `"<|endoftext|>"`): 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. bos_token (`str`, *optional*, defaults to `"<|startoftext|>"`): The beginning of sequence token. eos_token (`str`, *optional*, defaults to `"<|endoftext|>"`): The end of sequence token. pad_token (`str`, *optional*, defaults to `"<|endoftext|>"`): The token used for padding, for example when batching sequences of different lengths. Z input_idsZattention_maskreplace <|endoftext|><|startoftext|>c  st|trt|dddn|}t|tr4t|dddn|}t|trPt|dddn|}zddl} | j|_Wn0tytdtddd|_ d|_Yn0t |dd} t | |_ Wdn1s0Ydd |j D|_||_t|_d d |jD|_t |dd*} | d d d } Wdn1sJ0Ydd| D} tt| tt| |_ddd|_tdtj|_ t!j"f|||||d|dS)NF)lstriprstriprzKftfy or spacy is not installed using custom BasicTokenizer instead of ftfy.)r:r;utf-8encodingcSsi|]\}}||qSrrrkvrrr 4rz*CLIPTokenizer.__init__..cSsi|]\}}||qSrrrdrrrrg7r ricSsg|]}t|qSr)tupler2)rmergerrrr:rz*CLIPTokenizer.__init__..r^r])r^r]z[<\|startoftext\|>|<\|endoftext\|>|'s|'t|'re|'ve|'m|'ll|'d|[\p{L}]+|[\p{N}]|[^\s\p{L}\p{N}]+)errors unk_token bos_token eos_token pad_token)# isinstancestrrftfyfix_text ImportErrorloggerinfor5nlpopenjsonloadencoderitemsdecoderrkr% byte_encoder byte_decoderreadr/r2r r!rrQ bpe_rankscacher-compile IGNORECASEpatsuperr=) r<r r rkrlrmrnrokwargsrrZ vocab_handleZ merges_handleZ bpe_merges __class__rrr=sD     *: zCLIPTokenizer.__init__cCs t|jSr6)rQr{r<rrr vocab_sizeLszCLIPTokenizer.vocab_sizecCst|jfi|jSr6)r r{Zadded_tokens_encoderrrrr get_vocabPszCLIPTokenizer.get_vocabN) token_ids_0 token_ids_1returncCs<|jg}|jg}|dur$|||S||||||S)a Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and adding special tokens. 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Nr)rrrQrrrr$create_token_type_ids_from_sequencess z2CLIPTokenizer.create_token_type_ids_from_sequencesc s||jvrj|St|dd|ddf}t|}|sF|dSt|fddd}|jvrhqd|\}}g}d}|t|kr:z|||} Wn*ty|||dYq:Yn0|||| | }|||kr"|t|dkr"||d|kr"| |||d7}qx| |||d7}qxt|}|}t|dkrZqdqFt|}qFd |}|j|<|S) NrOcsj|tdS)Ninf)rgetfloat)pairrrrrz#CLIPTokenizer.bpe..keyrrr,) rrir+minrrQindex ValueErrorrFrrH) r<rIr(r)ZbigramfirstsecondZnew_wordrSjrrrbpesB     2     zCLIPTokenizer.bpecsg}jdur"dj|}nt|}tj|D]B}dfdd| dD}| dd | dDqB|S)zTokenize a string.Nr,rKc3s|]}j|VqdSr6)r~)rr$rrr sz*CLIPTokenizer._tokenize..racss|] }|VqdSr6r)rZ bpe_tokenrrrrr) rsrHrwrJr1rDr-findallrencoderFrr2)r<r0 bpe_tokensrIrrr _tokenizes "zCLIPTokenizer._tokenizecCs|j||j|jS)z0Converts a token (str) in an id using the vocab.)r{rrl)r<rIrrr_convert_token_to_idsz"CLIPTokenizer._convert_token_to_idcCs |j|S)z=Converts an index (integer) in a token (str) using the vocab.)r}r)r<rrrr_convert_id_to_tokensz"CLIPTokenizer._convert_id_to_tokencs@d|}tfdd|D}|jdjddd}|S)z:Converts a sequence of tokens (string) in a single string.rKcsg|]}j|qSr)r)rcrrrrrz:CLIPTokenizer.convert_tokens_to_string..ra)rkrr,)rH bytearraydecoderkr\r/)r<r3r0Z byte_arrayrrrconvert_tokens_to_strings z&CLIPTokenizer.convert_tokens_to_string)save_directoryfilename_prefixrc CsTtj|s"td|ddStj||r6|dndtd}tj||rX|dndtd}t|ddd .}|t j |j d d d d dWdn1s0Yd}t|ddd v}|dt |j dddD]D\}} || krtd|d| }|d|d|d7}qWdn1sB0Y||fS)NzVocabulary path (z) should be a directory-rKr r wrarbrTF)indent sort_keys ensure_asciirhrz#version: 0.2 cSs|dS)Nrr)kvrrrrrz/CLIPTokenizer.save_vocabulary..rzSaving vocabulary to zZ: BPE merge indices are not consecutive. Please check that the tokenizer is not corrupted!r,r)ospathisdirruerrorrHVOCAB_FILES_NAMESrxwriterydumpsr{sortedrr|warning) r<rrr Z merge_filefrwriterrZ token_indexrrrsave_vocabularys. <   *zCLIPTokenizer.save_vocabulary)r\r]r^r]r])N)NF)N)N)rWrXrYrZrZvocab_files_namesZmodel_input_namesr=propertyrrrintrrboolrrrrrrrrqrir __classcell__rrrrr[sB1   *r[)rZryrrB functoolsrtypingrregexr-Ztokenization_utilsrrrrr utilsr Z get_loggerrWrurr%r+r1r4r5r[__all__rrrrs.      "