





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

from ..bert.test_tokenization_bert import BertTokenizationTest







@require_tokenizers
class 	__lowerCAmelCase      (       _UpperCamelCase	):
   _UpperCamelCase			:    List[Any]  		=					DistilBertTokenizer
   _UpperCamelCase			:    str  		=					DistilBertTokenizerFast
   _UpperCamelCase			:    int  		=					True





   @slow
   def 						_snake_case			(			self   )					->	int:
      """simple docstring"""





      a__						:    str   		=	DistilBertTokenizer.from_pretrained("distilbert-base-uncased"   )

      a__						:    Any   		=	tokenizer.encode("sequence builders"       ,      add_special_tokens=snake_case   )
      a__						:    Optional[int]   		=	tokenizer.encode("multi-sequence build"       ,      add_special_tokens=snake_case   )

      a__						:    int   		=	tokenizer.build_inputs_with_special_tokens(snake_case   )
      a__						:    str   		=	tokenizer.build_inputs_with_special_tokens(snake_case       ,      snake_case   )

      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
      ]








def    _A	(   lowerCamelCase = 200 ):
   a__						:    List[str]   		=	[1, 2, 5, 10, 20, 50, 100, 200]
   a__						:    Dict   		=	[0] * (pence + 1)
   a__						:    int   		=	1  # base case: 1 way to make 0 pence

   for coin in coins:
      for i in range(lowerCamelCase				,			pence + 1				,			1 ):
         number_of_ways[i] += number_of_ways[i - coin]
   return number_of_ways[pence]


if __name__ == "__main__":
  assert solution(2_0_0) == 7_3_6_8_2

