





'''simple docstring'''


from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest

@require_tokenizers
class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							Tuple         =					DistilBertTokenizer
 __lowerCamelCase						:							Union[str, Any]         =					DistilBertTokenizerFast
 __lowerCamelCase						:							Optional[int]         =					True




 @slow
 def 							_snake_case   (	self		)    ->							Union[str, Any]:
     _lowerCAmelCase				=      DistilBertTokenizer.from_pretrained("distilbert-base-uncased"		)

     _lowerCAmelCase				=      tokenizer.encode("sequence builders"			,     add_special_tokens=_lowerCAmelCase		)
     _lowerCAmelCase				=      tokenizer.encode("multi-sequence build"			,     add_special_tokens=_lowerCAmelCase		)

     _lowerCAmelCase				=      tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase		)
     _lowerCAmelCase				=      tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase			,     _lowerCAmelCase		)

     assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
     assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
         tokenizer.sep_token_id
     ]









'''simple docstring'''


import math


def 	__a(SCREAMING_SNAKE_CASE_  :					int = 100    ):



    '''simple docstring'''





    _lowerCAmelCase				=      sum(i * i for i in range(1		,       n + 1    )    )
    _lowerCAmelCase				=      int(math.pow(sum(range(1		,       n + 1    )    )		,       2    )    )
    return square_of_sum - sum_of_squares


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


