






"""simple docstring"""



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


_UpperCamelCase		:  List[str]						=		logging.get_logger(__name__)

_UpperCamelCase		:  Optional[Any]						=		{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_UpperCamelCase		:  Dict						=		{
    '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'
        ),
    },
}

_UpperCamelCase		:  Optional[int]						=		{
    'distilbert-base-uncased': 5_1_2,
    'distilbert-base-uncased-distilled-squad': 5_1_2,
    'distilbert-base-cased': 5_1_2,
    'distilbert-base-cased-distilled-squad': 5_1_2,
    'distilbert-base-german-cased': 5_1_2,
    'distilbert-base-multilingual-cased': 5_1_2,
}


_UpperCamelCase		:  Dict						=		{
    '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     (   a_	):
    UpperCAmelCase_ :     Tuple	     =VOCAB_FILES_NAMES
    UpperCAmelCase_ :     Optional[int]	     =PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase_ :     Dict	     =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase_ :     Union[str, Any]	     =PRETRAINED_INIT_CONFIGURATION
    UpperCAmelCase_ :     List[Any]	     =["input_ids", "attention_mask"]
    UpperCAmelCase_ :     Optional[Any]	     =DistilBertTokenizer







    def __init__(			self							,		_lowerCamelCase=None							,		_lowerCamelCase=None							,		_lowerCamelCase=True							,		_lowerCamelCase="[UNK]"							,		_lowerCamelCase="[SEP]"							,		_lowerCamelCase="[PAD]"							,		_lowerCamelCase="[CLS]"							,		_lowerCamelCase="[MASK]"							,		_lowerCamelCase=True							,		_lowerCamelCase=None							,		**_lowerCamelCase							,		):
      super().__init__(
          _lowerCamelCase							,		tokenizer_file=_lowerCamelCase							,		do_lower_case=_lowerCamelCase							,		unk_token=_lowerCamelCase							,		sep_token=_lowerCamelCase							,		pad_token=_lowerCamelCase							,		cls_token=_lowerCamelCase							,		mask_token=_lowerCamelCase							,		tokenize_chinese_chars=_lowerCamelCase							,		strip_accents=_lowerCamelCase							,		**_lowerCamelCase							,		)

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

      lowercase							    =       do_lower_case







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase=None       ):
      lowercase							    =       [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 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = None       ):
      lowercase							    =       [self.sep_token_id]
      lowercase							    =       [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 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = None       ):
      lowercase							    =       self._tokenizer.model.save(_lowerCamelCase							,		name=_lowerCamelCase       )
      return tuple(_lowerCamelCase       )










"""simple docstring"""



def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  int = 1_00    ):





  '''simple docstring'''





  lowercase							    =       0
  lowercase							    =       0
  for i in range(1		,					n + 1    ):
    sum_of_squares += i**2
    sum_of_ints += i
  return sum_of_ints**2 - sum_of_squares


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


