code: 
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  _lowerCAmelCase     :			Tuple    =logging.get_logger(__name__)
  
  _lowerCAmelCase     :			Optional[Any]    ={
      """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json""",
  }
  
  class __UpperCamelCase    (							a__		):
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					__magic_name__     			=      "mpnet"
  
  
  
  
  
  					def __init__(							self							,			lowerCamelCase__=3_0_5_2_7							,			lowerCamelCase__=7_6_8							,			lowerCamelCase__=1_2							,			lowerCamelCase__=1_2							,			lowerCamelCase__=3_0_7_2							,			lowerCamelCase__="gelu"							,			lowerCamelCase__=0.1							,			lowerCamelCase__=0.1							,			lowerCamelCase__=5_1_2							,			lowerCamelCase__=0.02							,			lowerCamelCase__=1e-12							,			lowerCamelCase__=3_2							,			lowerCamelCase__=1							,			lowerCamelCase__=0							,			lowerCamelCase__=2							,			**lowerCamelCase__							,			):
  						super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_							,			bos_token_id=SCREAMING_SNAKE_CASE_							,			eos_token_id=SCREAMING_SNAKE_CASE_							,			**SCREAMING_SNAKE_CASE_	)
  
  						UpperCAmelCase__:  Any		       =   vocab_size
  						UpperCAmelCase__:  Optional[Any]		       =   hidden_size
  						UpperCAmelCase__:  Union[str, Any]		       =   num_hidden_layers
  						UpperCAmelCase__:  Optional[int]		       =   num_attention_heads
  						UpperCAmelCase__:  Optional[Any]		       =   hidden_act
  						UpperCAmelCase__:  str		       =   intermediate_size
  						UpperCAmelCase__:  Optional[Any]		       =   hidden_dropout_prob
  						UpperCAmelCase__:  Union[str, Any]		       =   attention_probs_dropout_prob
  						UpperCAmelCase__:  List[Any]		       =   max_position_embeddings
  						UpperCAmelCase__:  Union[str, Any]		       =   initializer_range
  						UpperCAmelCase__:  List[str]		       =   layer_norm_eps
  						UpperCAmelCase__:  str		       =   relative_attention_num_buckets
  
  
  
  
style_context: 
  
  _lowerCAmelCase     :			Optional[int]    ={
      """+""": lambda x, y: x + y,
      """-""": lambda x, y: x - y,
      """*""": lambda x, y: x * y,
      """/""": lambda x, y: x / y,
  }
  
  
  
  def  _A  (			SCREAMING_SNAKE_CASE			):
  	return c.isdigit()
  
  
  
  def  _A  (			SCREAMING_SNAKE_CASE			):
  	UpperCAmelCase__:  str		       =   []
  
  	# iterate over the string in reverse order
  	for c in expression.split()[::-1]:
  		# push operand to stack
  		if is_operand(SCREAMING_SNAKE_CASE			):
  			stack.append(int(SCREAMING_SNAKE_CASE			)			)
  
  		else:
  			# pop values from stack can calculate the result
  			# push the result onto the stack again
  			UpperCAmelCase__:  Any		       =   stack.pop()
  			UpperCAmelCase__:  int		       =   stack.pop()
  			stack.append(calc[c](SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE			)			)
  
  	return stack.pop()
  
  
  # Driver code
  if __name__ == "__main__":
  					_lowerCAmelCase     :			Optional[int]    ="""+ 9 * 2 6"""
  					print(evaluate(test_expression))
  
  					_lowerCAmelCase     :			Optional[Any]    ="""/ * 10 2 + 4 1 """
  					print(evaluate(test_expression))