



from transformers import PretrainedConfig
class       _lowerCAmelCase (			_UpperCAmelCase      ):






			"""simple docstring"""





			lowercase__   :	List[Any]  			=      """custom"""





			def __init__(					self						:							Dict      ,  lowercase						:							Optional[Any]=1      ,  **lowercase						:							Dict )    ->       int:
									"""simple docstring"""







									__lowercase											=					attribute
									super().__init__(**lowercase )





class       _lowerCAmelCase (			_UpperCAmelCase      ):






			"""simple docstring"""





			lowercase__   :	Optional[Any]  			=      """custom"""





			def __init__(					self						:							Any      ,  lowercase						:							List[Any]=1      ,  **lowercase						:							Optional[Any] )    ->       Optional[int]:
									"""simple docstring"""







									__lowercase											=					attribute










from .stack import Stack






def 			UpperCAmelCase__     (     lowercase__ )			->   bool:
						__lowercase											=					Stack()
						__lowercase											=					{"""(""": """)""", """[""": """]""", """{""": """}"""}
						for bracket in parentheses:
												if bracket in bracket_pairs:
																		stack.push(lowercase__ )
												elif bracket in (")", "]", "}"):
																		if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
																								return False
						return stack.is_empty()


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

			testmod()

			UpperCamelCase__			=    ["((()))", "((())", "(()))"]
			print("Balanced parentheses demonstration:\n")
			for example in examples:
						UpperCamelCase__			=    "" if balanced_parentheses(example) else "not "
						print(F"""{example} is {not_str}balanced""")





