


from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest




@require_tokenizers
class  A_ (			a_  ):







 """simple docstring"""





 _UpperCamelCase					:			List[Any]     	=       SqueezeBertTokenizer
 _UpperCamelCase					:			Tuple     	=       SqueezeBertTokenizerFast
 _UpperCamelCase					:			str     	=       True
 def 	_UpperCamelCase     (      self       :			Tuple							,     **_a       :			List[str]					)     ->      List[Any]:
      return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname							,     **_a					)

 @slow
 def 	_UpperCamelCase     (      self       :			Union[str, Any]					)     ->      List[str]:
      UpperCAmelCase    :					Optional[int]			=      SqueezeBertTokenizer.from_pretrained("squeezebert/squeezebert-mnli-headless"					)

      UpperCAmelCase    :					Tuple			=      tokenizer.encode("sequence builders"							,     add_special_tokens=_a					)
      UpperCAmelCase    :					str			=      tokenizer.encode("multi-sequence build"							,     add_special_tokens=_a					)

      UpperCAmelCase    :					List[str]			=      tokenizer.build_inputs_with_special_tokens(_a					)
      UpperCAmelCase    :					Optional[int]			=      tokenizer.build_inputs_with_special_tokens(_a							,     _a					)

      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
      ]







from __future__ import annotations







def 	A (		A__		,		A__		,		A__		,		A__			):

     # Base Case
     if counter == 0 or capacity == 0:
          return 0

     # If weight of the nth item is more than Knapsack of capacity,
     #   then this item cannot be included in the optimal solution,
     # else return the maximum of two cases:
     #   (1) nth item included
     #   (2) not included
     if weights[counter - 1] > capacity:
          return knapsack(A__		,		A__		,		A__		,		counter - 1			)
     else:
          UpperCAmelCase    :					List[str]			=      capacity - weights[counter - 1]
          UpperCAmelCase    :					Tuple			=      values[counter - 1] + knapsack(
              A__		,		A__		,		A__		,		counter - 1			)
          UpperCAmelCase    :					Optional[int]			=      knapsack(A__		,		A__		,		A__		,		counter - 1			)
          return max(A__		,		A__			)


if __name__ == "__main__":
      import doctest

      doctest.testmod()



