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


__magic_name__								=logging.get_logger(__name__)

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

__magic_name__								={
    '''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'''
        ),
    },
}

__magic_name__								={
    '''distilbert-base-uncased''': 512,
    '''distilbert-base-uncased-distilled-squad''': 512,
    '''distilbert-base-cased''': 512,
    '''distilbert-base-cased-distilled-squad''': 512,
    '''distilbert-base-german-cased''': 512,
    '''distilbert-base-multilingual-cased''': 512,
}


__magic_name__								={
    '''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     _A   (    __UpperCamelCase							):
  SCREAMING_SNAKE_CASE_	:	Tuple						=VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE_	:	Optional[Any]						=PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE_	:	List[str]						=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE_	:	List[Any]						=PRETRAINED_INIT_CONFIGURATION
  SCREAMING_SNAKE_CASE_	:	str						=["input_ids", "attention_mask"]
  SCREAMING_SNAKE_CASE_	:	List[str]						=DistilBertTokenizer






  def __init__(self   ,				SCREAMING_SNAKE_CASE_=None   ,				SCREAMING_SNAKE_CASE_=None   ,				SCREAMING_SNAKE_CASE_=True   ,				SCREAMING_SNAKE_CASE_="[UNK]"   ,				SCREAMING_SNAKE_CASE_="[SEP]"   ,				SCREAMING_SNAKE_CASE_="[PAD]"   ,				SCREAMING_SNAKE_CASE_="[CLS]"   ,				SCREAMING_SNAKE_CASE_="[MASK]"   ,				SCREAMING_SNAKE_CASE_=True   ,				SCREAMING_SNAKE_CASE_=None   ,				**SCREAMING_SNAKE_CASE_   ,				)		->      Optional[Any]:





       '''simple docstring'''





       super().__init__(
           SCREAMING_SNAKE_CASE_   ,				tokenizer_file=SCREAMING_SNAKE_CASE_   ,				do_lower_case=SCREAMING_SNAKE_CASE_   ,				unk_token=SCREAMING_SNAKE_CASE_   ,				sep_token=SCREAMING_SNAKE_CASE_   ,				pad_token=SCREAMING_SNAKE_CASE_   ,				cls_token=SCREAMING_SNAKE_CASE_   ,				mask_token=SCREAMING_SNAKE_CASE_   ,				tokenize_chinese_chars=SCREAMING_SNAKE_CASE_   ,				strip_accents=SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_   ,				)

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

       UpperCamelCase__										=      do_lower_case






  def 		_a					(self   ,				SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_=None	)		->      int:





       '''simple docstring'''





       UpperCamelCase__										=      [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 		_a					(self   ,				SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_ = None	)		->      List[int]:





       '''simple docstring'''





       UpperCamelCase__										=      [self.sep_token_id]
       UpperCamelCase__										=      [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 		_a					(self   ,				SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_ = None	)		->      Tuple[str]:





       '''simple docstring'''





       UpperCamelCase__										=      self._tokenizer.model.save(SCREAMING_SNAKE_CASE_   ,				name=SCREAMING_SNAKE_CASE_	)
       return tuple(SCREAMING_SNAKE_CASE_	)




def  __UpperCamelCase    (						A = 600851475143							):

     try:
          UpperCamelCase__										=      int(A							)
     except (TypeError, ValueError):
          raise TypeError('''Parameter n must be int or castable to int.'''							)
     if n <= 0:
          raise ValueError('''Parameter n must be greater than or equal to one.'''							)
     UpperCamelCase__										=      1
     UpperCamelCase__										=      2
     while i * i <= n:
          while n % i == 0:
               UpperCamelCase__										=      i
               n //= i
          i += 1
     if n > 1:
          UpperCamelCase__										=      n
     return int(A							)


if __name__ == "__main__":
     print(f"""{solution() = }""")



