"""simple docstring"""






lowerCAmelCase__    :    List[str]			=      {
    '+': lambda x, y: x + y,
    '-': lambda x, y: x - y,
    '*': lambda x, y: x * y,
    '/': lambda x, y: x / y,
}



def     a_		(   lowerCamelCase			):
				return c.isdigit()



def     a_		(   lowerCamelCase			):
				UpperCAmelCase__			 =				[]

				# iterate over the string in reverse order
				for c in expression.split()[::-1]:
								# push operand to stack
								if is_operand(A__			):
												stack.append(int(A__			)			)

								else:
												# pop values from stack can calculate the result
												# push the result onto the stack again
												UpperCAmelCase__			 =				stack.pop()
												UpperCAmelCase__			 =				stack.pop()
												stack.append(calc[c](A__   ,     A__			)			)

				return stack.pop()


# Driver code
if __name__ == "__main__":
						lowerCAmelCase__    :    List[Any]			=      '+ 9 * 2 6'
						print(evaluate(test_expression))

						lowerCAmelCase__    :    Union[str, Any]			=      '/ * 10 2 + 4 1 '
						print(evaluate(test_expression))





from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest







@custom_tokenizers
class 	lowerCamelCase						(    A_    ):





     def 						UpperCAmelCase(self :       Optional[Any]							,       _A :       Tuple							,       _A :       Tuple							,       _A :       str							,       _A :       Tuple							,       _A :       Any  )		->		Optional[int]:
         return True





     def 						UpperCAmelCase(self :       str  )		->		List[str]:
         snake_case						=   CpmTokenizer.from_pretrained("TsinghuaAI/CPM-Generate"  )
         snake_case						=   "Hugging Face大法好，谁用谁知道。"
         snake_case						=   "Hugging Face大法好,谁用谁知道。<unk>"
         snake_case						=   "▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。".split()

         snake_case						=   tokenizer.tokenize(_A  )
         self.assertListEqual(_A							,       _A  )

         snake_case						=   tokens + [tokenizer.unk_token]

         snake_case						=   [1_3_7_8_9, 1_3_2_8_3, 1_4_2_1, 8, 1_0, 1_1_6_4, 1_3_6_0_8, 1_6_5_2_8, 6_3, 8, 9, 4_4_0, 1_0_8, 4_4_0, 1_2_1, 9_0, 8, 1_2, 0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_A  )							,       _A  )

         snake_case						=   tokenizer.decode(_A  )
         self.assertEqual(_A							,       _A  )

