



'''simple docstring'''

from .balanced_parentheses import balanced_parentheses
from .stack import Stack







def     __UpperCamelCase					(				_lowercase       )			->      int:
	return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(_lowercase,					-1       )







def     __UpperCamelCase					(				_lowercase       )			->      str:
	if not balanced_parentheses(_lowercase       ):
		raise ValueError('Mismatched parentheses'       )
	_lowercase       :							Stack[str]  	=		Stack()
	_lowercase       :							List[Any]  	=		[]
	for char in expression_str:
		if char.isalpha() or char.isdigit():
			postfix.append(_lowercase       )
		elif char == "(":
			stack.push(_lowercase       )
		elif char == ")":
			while not stack.is_empty() and stack.peek() != "(":
				postfix.append(stack.pop()       )
			stack.pop()
		else:
			while not stack.is_empty() and precedence(_lowercase       ) <= precedence(stack.peek()       ):
				postfix.append(stack.pop()       )
			stack.push(_lowercase       )
	while not stack.is_empty():
		postfix.append(stack.pop()       )
	return " ".join(_lowercase       )


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

		testmod()
		_A					:     Tuple      ='''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 		lowerCamelCase__   (    A  ):




					'''simple docstring'''



					A_         =    CustomConfig




					def __init__(	self					:						int  ,	UpperCamelCase_					:						List[str]       )	->							int:



						'''simple docstring'''





						super().__init__(UpperCamelCase_       )
						_lowercase       :							List[Any]  	=		torch.nn.Linear(config.hidden_size  ,	config.hidden_size       )




					def     __UpperCAmelCase  (	self					:						Optional[int]  ,	UpperCamelCase_					:						Any       )	->							Union[str, Any]:



						'''simple docstring'''





						return self.linear(UpperCamelCase_       )




					def     __UpperCAmelCase  (	self					:						Optional[int]  ,	UpperCamelCase_					:						Optional[Any]       )	->							str:



						'''simple docstring'''





						pass






class 		lowerCamelCase__   (    A  ):




					'''simple docstring'''



					A_         =    NoSuperInitConfig




					def __init__(	self					:						Optional[int]  ,	UpperCamelCase_					:						Dict       )	->							Optional[Any]:



						'''simple docstring'''





						super().__init__(UpperCamelCase_       )
						_lowercase       :							List[str]  	=		torch.nn.Linear(config.attribute  ,	config.attribute       )




					def     __UpperCAmelCase  (	self					:						Optional[Any]  ,	UpperCamelCase_					:						Optional[int]       )	->							List[Any]:



						'''simple docstring'''





						return self.linear(UpperCamelCase_       )




					def     __UpperCAmelCase  (	self					:						Optional[Any]  ,	UpperCamelCase_					:						int       )	->							List[str]:



						'''simple docstring'''





						pass
