


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__			 =						logging.get_logger(__name__)

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

snake_case__			 =						{
    '''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__			 =						{
    '''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,
}


snake_case__			 =						{
    '''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 					lowerCAmelCase_ (       _a):
						lowerCamelCase_         =     VOCAB_FILES_NAMES
						lowerCamelCase_         =     PRETRAINED_VOCAB_FILES_MAP
						lowerCamelCase_         =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCamelCase_         =     PRETRAINED_INIT_CONFIGURATION
						lowerCamelCase_         =     ['input_ids', 'attention_mask']
						lowerCamelCase_         =     DistilBertTokenizer




						def __init__(	self						:   Union[str, Any]   ,     __A						:   Optional[int]=None   ,     __A						:   Any=None   ,     __A						:   List[Any]=True   ,     __A						:   Tuple="[UNK]"   ,     __A						:   int="[SEP]"   ,     __A						:   Tuple="[PAD]"   ,     __A						:   str="[CLS]"   ,     __A						:   Dict="[MASK]"   ,     __A						:   List[Any]=True   ,     __A						:   Optional[Any]=None   ,     **__A						:   List[str]   ,     )      ->Optional[Any]:






									"""simple docstring"""






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

									a__ :Optional[Any]						  =    json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
									if (
									    normalizer_state.get("lowercase"   ,     __A						) != do_lower_case
									    or normalizer_state.get("strip_accents"   ,     __A						) != strip_accents
									    or normalizer_state.get("handle_chinese_chars"   ,     __A						) != tokenize_chinese_chars
									):
												a__ :List[Any]						  =    getattr(__A   ,     normalizer_state.pop("type"						)						)
												a__ :List[Any]						  =    do_lower_case
												a__ :List[Any]						  =    strip_accents
												a__ :str						  =    tokenize_chinese_chars
												a__ :Optional[int]						  =    normalizer_class(**__A						)

									a__ :int						  =    do_lower_case




						def  _snake_case					(	self						:   List[Any]   ,     __A						:   str   ,     __A						:   int=None						)      ->Any:






									"""simple docstring"""






									a__ :str						  =    [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  _snake_case					(	self						:   Optional[int]   ,     __A						:   List[int]   ,     __A						:   Optional[List[int]] = None						)      ->List[int]:






									"""simple docstring"""






									a__ :Tuple						  =    [self.sep_token_id]
									a__ :Dict						  =    [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  _snake_case					(	self						:   Union[str, Any]   ,     __A						:   str   ,     __A						:   Optional[str] = None						)      ->Tuple[str]:






									"""simple docstring"""






									a__ :Dict						  =    self._tokenizer.model.save(__A   ,     name=__A						)
									return tuple(__A						)






def 				lowerCamelCase__	(      a	:   int = 100				)    ->	int:





			"""simple docstring"""
			a__ :Tuple						  =    n * (n + 1) * (2 * n + 1) / 6
			a__ :Tuple						  =    (n * (n + 1) / 2) ** 2
			return int(square_of_sum - sum_of_squares				)


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


