





'''simple docstring'''






from .balanced_parentheses import balanced_parentheses
from .stack import Stack
def      UpperCamelCase__   (	lowerCAmelCase						):





      """simple docstring"""


      return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(lowerCAmelCase							,			-1						)
def      UpperCamelCase__   (	lowerCAmelCase						):





      """simple docstring"""


      if not balanced_parentheses(lowerCAmelCase						):
            raise ValueError("""Mismatched parentheses"""						)
      _lowerCAmelCase							  =							Stack()
      _lowerCAmelCase							  =							[]
      for char in expression_str:
            if char.isalpha() or char.isdigit():
                  postfix.append(lowerCAmelCase						)
            elif char == "(":
                  stack.push(lowerCAmelCase						)
            elif char == ")":
                  while not stack.is_empty() and stack.peek() != "(":
                        postfix.append(stack.pop()						)
                  stack.pop()
            else:
                  while not stack.is_empty() and precedence(lowerCAmelCase						) <= precedence(stack.peek()						):
                        postfix.append(stack.pop()						)
                  stack.push(lowerCAmelCase						)
      while not stack.is_empty():
            postfix.append(stack.pop()						)
      return " ".join(lowerCAmelCase						)


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      A__       :     Any          ='a+b*(c^d-e)^(f+g*h)-i'

      print('''Infix to Postfix Notation demonstration:\n''')
      print('''Infix notation: ''' + expression)
      print('''Postfix notation: ''' + infix_to_postfix(expression))






'''simple docstring'''






import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig




class 				UpperCAmelCase  (    snake_case_     ):
      _lowercase:    str		  =     CustomConfig




      def __init__(    self    :				Optional[int]    ,    __snake_case    :				Tuple						)       ->   Optional[Any]:
            super().__init__(__snake_case						)
            _lowerCAmelCase							  =							torch.nn.Linear(config.hidden_size    ,    config.hidden_size						)




      def        lowercase__					(    self    :				Dict    ,    __snake_case    :				List[Any]						)       ->   Dict:
            return self.linear(__snake_case						)




      def        lowercase__					(    self    :				List[Any]    ,    __snake_case    :				int						)       ->   Any:
            pass




class 				UpperCAmelCase  (    snake_case_     ):
      _lowercase:    List[str]		  =     NoSuperInitConfig




      def __init__(    self    :				List[str]    ,    __snake_case    :				List[str]						)       ->   int:
            super().__init__(__snake_case						)
            _lowerCAmelCase							  =							torch.nn.Linear(config.attribute    ,    config.attribute						)




      def        lowercase__					(    self    :				List[str]    ,    __snake_case    :				Dict						)       ->   Any:
            return self.linear(__snake_case						)




      def        lowercase__					(    self    :				Optional[int]    ,    __snake_case    :				List[Any]						)       ->   Dict:
            pass






