





'''simple docstring'''

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_pegasus import PegasusTokenizer
else:
      lowercase_					= None


lowercase_					= logging.get_logger(__name__)


lowercase_					= """▁"""

lowercase_					= {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase_					= {
    """vocab_file""": {"""google/pegasus-xsum""": """https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model"""},
    """tokenizer_file""": {
        """google/pegasus-xsum""": """https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json"""
    },
}

lowercase_					= {
    """google/pegasus-xsum""": 512,
}


class 					a_     (				snake_case_       ):

    '''simple docstring'''
    UpperCamelCase     = VOCAB_FILES_NAMES
    UpperCamelCase     = PRETRAINED_VOCAB_FILES_MAP
    UpperCamelCase     = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCamelCase     = PegasusTokenizer
    UpperCamelCase     = ['''input_ids''', '''attention_mask''']


    def __init__(		self ,		A=None ,		A=None ,		A="<pad>" ,		A="</s>" ,		A="<unk>" ,		A="<mask_2>" ,		A="<mask_1>" ,		A=None ,		A=103 ,		**A ,		)		->   List[Any]:
        _SCREAMING_SNAKE_CASE									=			offset

        if additional_special_tokens is not None:
            if not isinstance(A ,		A       ):
                raise TypeError(
                    f'additional_special_tokens should be of type {type(A       )}, but is'
                    f' {type(A       )}'       )

            _SCREAMING_SNAKE_CASE									=			(
                ([mask_token_sent] + additional_special_tokens)
                if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
                else additional_special_tokens
            )
            # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
            additional_special_tokens_extended += [
                f'<unk_{i}>' for i in range(len(A       ) ,		self.offset - 1       )
            ]

            if len(set(A       )       ) != len(A       ):
                raise ValueError(
                    """Please make sure that the provided additional_special_tokens do not contain an incorrectly"""
                    f' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'       )
            _SCREAMING_SNAKE_CASE									=			additional_special_tokens_extended
        else:
            _SCREAMING_SNAKE_CASE									=			[mask_token_sent] if mask_token_sent is not None else []
            additional_special_tokens += [f'<unk_{i}>' for i in range(2 ,		self.offset       )]

        super().__init__(
            A ,		tokenizer_file=A ,		pad_token=A ,		eos_token=A ,		unk_token=A ,		mask_token=A ,		mask_token_sent=A ,		offset=A ,		additional_special_tokens=A ,		**A ,		)
        _SCREAMING_SNAKE_CASE									=			vocab_file
        _SCREAMING_SNAKE_CASE									=			False if not self.vocab_file else True


    def 			snake_case_(		self ,		A       )		->   Any:
        _SCREAMING_SNAKE_CASE									=			set(self.all_special_ids       )  # call it once instead of inside list comp
        all_special_ids.remove(self.unk_token_id       )  # <unk> is only sometimes special

        if all_special_ids != set(range(len(self.additional_special_tokens       ) + 3       )       ):
            raise ValueError(
                """There should be 3 special tokens: mask_token, pad_token, and eos_token +"""
                f' {len(self.additional_special_tokens       )} additional_special_tokens, but got {all_special_ids}'       )

        return [1 if x in all_special_ids else 0 for x in seq]


    def 			snake_case_(		self ,		A ,		A = None ,		A = False       )		->   List[int]:
        if already_has_special_tokens:
            return self._special_token_mask(A       )
        elif token_ids_a is None:
            return self._special_token_mask(A       ) + [1]
        else:
            return self._special_token_mask(token_ids_a + token_ids_a       ) + [1]


    def 			snake_case_(		self ,		A ,		A=None       )		->   List[int]:
        if token_ids_a is None:
            return token_ids_a + [self.eos_token_id]
        # We don't expect to process pairs, but leave the pair logic for API consistency
        return token_ids_a + token_ids_a + [self.eos_token_id]





    def 			snake_case_(		self ,		A ,		A = None       )		->   Tuple[str]:
        if not self.can_save_slow_tokenizer:
            raise ValueError(
                """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                """tokenizer."""       )

        if not os.path.isdir(A       ):
            logger.error(f'Vocabulary path ({save_directory}) should be a directory'       )
            return
        _SCREAMING_SNAKE_CASE									=			os.path.join(
            A ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )

        if os.path.abspath(self.vocab_file       ) != os.path.abspath(A       ):
            copyfile(self.vocab_file ,		A       )

        return (out_vocab_file,)







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


snake_case							:       Dict     			=      logging.get_logger(__name__)

snake_case							:       Dict     			=      {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

snake_case							:       List[Any]     			=      {
    '''vocab_file''': {
        '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt''',
        '''distilbert-base-uncased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt'''
        ),
        '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt''',
        '''distilbert-base-cased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt'''
        ),
        '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt''',
        '''distilbert-base-multilingual-cased''': (
            '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json''',
        '''distilbert-base-uncased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json''',
        '''distilbert-base-cased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-german-cased''': (
            '''https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-multilingual-cased''': (
            '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json'''
        ),
    },
}

snake_case							:       int     			=      {
    '''distilbert-base-uncased''': 5_12,
    '''distilbert-base-uncased-distilled-squad''': 5_12,
    '''distilbert-base-cased''': 5_12,
    '''distilbert-base-cased-distilled-squad''': 5_12,
    '''distilbert-base-german-cased''': 5_12,
    '''distilbert-base-multilingual-cased''': 5_12,
}


snake_case							:       Union[str, Any]     			=      {
    '''distilbert-base-uncased''': {'''do_lower_case''': True},
    '''distilbert-base-uncased-distilled-squad''': {'''do_lower_case''': True},
    '''distilbert-base-cased''': {'''do_lower_case''': False},
    '''distilbert-base-cased-distilled-squad''': {'''do_lower_case''': False},
    '''distilbert-base-german-cased''': {'''do_lower_case''': False},
    '''distilbert-base-multilingual-cased''': {'''do_lower_case''': False},
}







class        snake_case_   (lowerCamelCase_      ):
					UpperCAmelCase__					:    Any          =			VOCAB_FILES_NAMES
					UpperCAmelCase__					:    str          =			PRETRAINED_VOCAB_FILES_MAP
					UpperCAmelCase__					:    int          =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCAmelCase__					:    Tuple          =			PRETRAINED_INIT_CONFIGURATION
					UpperCAmelCase__					:    Optional[Any]          =			['''input_ids''', '''attention_mask''']
					UpperCAmelCase__					:    Optional[int]          =			DistilBertTokenizer
					def __init__(      self   :Dict			,__snake_case   :Dict=None			,__snake_case   :Optional[Any]=None			,__snake_case   :Optional[Any]=True			,__snake_case   :List[Any]="[UNK]"			,__snake_case   :str="[SEP]"			,__snake_case   :List[Any]="[PAD]"			,__snake_case   :Tuple="[CLS]"			,__snake_case   :Optional[int]="[MASK]"			,__snake_case   :Dict=True			,__snake_case   :Dict=None			,**__snake_case   :List[Any]			,)					->    Optional[int]:
												super().__init__(
												    __snake_case			,tokenizer_file=__snake_case			,do_lower_case=__snake_case			,unk_token=__snake_case			,sep_token=__snake_case			,pad_token=__snake_case			,cls_token=__snake_case			,mask_token=__snake_case			,tokenize_chinese_chars=__snake_case			,strip_accents=__snake_case			,**__snake_case			,)

												a__             =     json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
												if (
												    normalizer_state.get('lowercase'			,__snake_case      ) != do_lower_case
												    or normalizer_state.get('strip_accents'			,__snake_case      ) != strip_accents
												    or normalizer_state.get('handle_chinese_chars'			,__snake_case      ) != tokenize_chinese_chars
												):
																			a__             =     getattr(__snake_case			,normalizer_state.pop('type'      )      )
																			a__             =     do_lower_case
																			a__             =     strip_accents
																			a__             =     tokenize_chinese_chars
																			a__             =     normalizer_class(**__snake_case      )

												a__             =     do_lower_case
					def  lowerCamelCase__(      self   :Any			,__snake_case   :List[str]			,__snake_case   :int=None      )					->    Dict:
												a__             =     [self.cls_token_id] + token_ids_a + [self.sep_token_id]

												if token_ids_a:
																			output += token_ids_a + [self.sep_token_id]

												return output
					def  lowerCamelCase__(      self   :List[str]			,__snake_case   :List[int]			,__snake_case   :Optional[List[int]] = None      )					->    List[int]:
												a__             =     [self.sep_token_id]
												a__             =     [self.cls_token_id]
												if token_ids_a is None:
																			return len(cls + token_ids_a + sep      ) * [0]
												return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]



					def  lowerCamelCase__(      self   :Union[str, Any]			,__snake_case   :str			,__snake_case   :Optional[str] = None      )					->    Tuple[str]:
												a__             =     self._tokenizer.model.save(__snake_case			,name=__snake_case      )
												return tuple(__snake_case      )




