



'''simple docstring'''




import re
from pathlib import Path
from unittest import TestCase

import pytest

@pytest.mark.integration
class     UpperCamelCase_				(							__magic_name__    ):





	def 				_lowercase(						self	,	A					)    ->    Optional[int]:

								with open(A	,	encoding="""utf-8"""					) as input_file:
															UpperCAmelCase  :	int							  =	re.compile(r"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"""					)
															UpperCAmelCase  :	Optional[Any]							  =	input_file.read()
															UpperCAmelCase  :	Tuple							  =	regexp.search(A					)

								return match





	def 				_lowercase(						self	,	A					)    ->    Dict:

								with open(A	,	encoding="""utf-8"""					) as input_file:
															UpperCAmelCase  :	List[Any]							  =	re.compile(r"""#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"""	,	re.DOTALL					)
															UpperCAmelCase  :	Union[str, Any]							  =	input_file.read()
															# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
															UpperCAmelCase  :	Optional[int]							  =	regexp.finditer(A					)

								UpperCAmelCase  :	str							  =	[match for match in matches if match is not None and match.group(1					) is not None]
								return matches[0] if matches else None





	def 				_lowercase(						self					)    ->    List[str]:
								UpperCAmelCase  :	Optional[int]							  =	Path("""./datasets"""					)
								UpperCAmelCase  :	Tuple							  =	list(dataset_paths.absolute().glob("""**/*.py"""					)					)

								for dataset in dataset_files:
															if self._no_encoding_on_file_open(str(A					)					):
																						raise AssertionError(f'''open(...) must use utf-8 encoding in {dataset}'''					)






	def 				_lowercase(						self					)    ->    Tuple:
								UpperCAmelCase  :	str							  =	Path("""./datasets"""					)
								UpperCAmelCase  :	Optional[int]							  =	list(dataset_paths.absolute().glob("""**/*.py"""					)					)

								for dataset in dataset_files:
															if self._no_print_statements(str(A					)					):
																						raise AssertionError(f'''print statement found in {dataset}. Use datasets.logger/logging instead.'''					)






'''simple docstring'''




a     :    List[Any]      						=					"""Alexander Joslin"""

import operator as op

from .stack import Stack



def    __lowerCamelCase						(      _lowercase	)   ->    int:
							UpperCAmelCase  :	Dict							  =	{"""*""": op.mul, """/""": op.truediv, """+""": op.add, """-""": op.sub}

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

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

																					UpperCAmelCase  :	List[Any]							  =	operators[opr](_lowercase			,       _lowercase	)
																					operand_stack.push(_lowercase	)

    # RULE 5
							return operand_stack.peek()


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

