

'''simple docstring'''





UpperCamelCase_						     =					"""Alexander Joslin"""

import operator as op

from .stack import Stack






def 							_lowerCAmelCase (      __magic_name__	:    str	)							->     int:
						lowercase   :       int								={'''*''': op.mul, '''/''': op.truediv, '''+''': op.add, '''-''': op.sub}

						lowercase   :       Stack[int]								=Stack()
						lowercase   :       Stack[str]								=Stack()

						for i in equation:
												if i.isdigit():
																		# RULE 1
																		operand_stack.push(int(__A	)	)
												elif i in operators:
																		# RULE 2
																		operator_stack.push(__A	)
												elif i == ")":
																		# RULE 4
																		lowercase   :       Optional[Any]								=operator_stack.peek()
																		operator_stack.pop()
																		lowercase   :       Optional[Any]								=operand_stack.peek()
																		operand_stack.pop()
																		lowercase   :       Optional[Any]								=operand_stack.peek()
																		operand_stack.pop()

																		lowercase   :       List[str]								=operators[opr](__A      ,   __A	)
																		operand_stack.push(__A	)

																		 # RULE 5
						return operand_stack.peek()


if __name__ == "__main__":
							UpperCamelCase_						     =					"""(5 + ((4 * 2) * (2 + 3)))"""
							# answer = 45
							print(f'''{equation} = {dijkstras_two_stack_algorithm(equation)}''')








'''simple docstring'''





from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments






def 							_lowerCAmelCase (      )							->     List[Any]:
						lowercase   :       Tuple								=HfArgumentParser(__magic_name__	)
						lowercase   :       Union[str, Any]								=parser.parse_args_into_dataclasses()[0]
						lowercase   :       Any								=TensorFlowBenchmark(args=__magic_name__	)
						try:
												lowercase   :       List[Any]								=parser.parse_args_into_dataclasses()[0]
						except ValueError as e:
												lowercase   :       List[Any]								='''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
												lowercase   :       Any								=''' '''.join(str(__magic_name__	).split(''' '''	)[:-1]	)
												lowercase   :       Optional[Any]								=''''''
												lowercase   :       List[str]								=eval(str(__magic_name__	).split(''' '''	)[-1]	)
												lowercase   :       Optional[Any]								=[]
												for arg in depreciated_args:
																		# arg[2:] removes '--'
																		if arg[2:] in TensorFlowBenchmark.deprecated_args:
																								# arg[5:] removes '--no_'
																								full_error_msg += arg_error_msg.format(arg[5:]	)
																		else:
																								wrong_args.append(__magic_name__	)
												if len(__magic_name__	) > 0:
																		lowercase   :       int								=full_error_msg + begin_error_msg + str(__magic_name__	)
												raise ValueError(__magic_name__	)
						benchmark.run()


if __name__ == "__main__":
							main()





