"""simple docstring"""




from __future__ import annotations

from collections import namedtuple





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       List[Any]			,_lowerCamelCase						:       Optional[int]			,_lowerCamelCase						:       Dict	)       ->      Optional[Any]:
  _lowerCAmelCase						:       Optional[int]  			=     namedtuple("""result"""			,"""name value"""	)
  if (voltage, current, power).count(0	) != 1:
    raise ValueError("""Only one argument must be 0"""	)
  elif power < 0:
    raise ValueError(
        """Power cannot be negative in any electrical/electronics system"""	)
  elif voltage == 0:
    return result("""voltage"""			,power / current	)
  elif current == 0:
    return result("""current"""			,power / voltage	)
  elif power == 0:
    return result("""power"""			,float(round(abs(voltage * current	)			,2	)	)	)
  else:
    raise ValueError("""Exactly one argument must be 0"""	)


if __name__ == "__main__":
     import doctest

     doctest.testmod()






'''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  A				(							__snake_case						):
     __magic_name__						=		DistilBertTokenizer
     __magic_name__						=		DistilBertTokenizerFast
     __magic_name__						=		True





     @slow
     def 				__lowerCAmelCase							(							self	) ->				Any:






         """simple docstring"""






         A       :   List[Any]					=						DistilBertTokenizer.from_pretrained('''distilbert-base-uncased'''	)

         A       :   Dict					=						tokenizer.encode('''sequence builders'''						,			add_special_tokens=SCREAMING_SNAKE_CASE	)
         A       :   List[str]					=						tokenizer.encode('''multi-sequence build'''						,			add_special_tokens=SCREAMING_SNAKE_CASE	)

         A       :   Optional[Any]					=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE	)
         A       :   Tuple					=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE						,			SCREAMING_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
         ]




