






__magic_name__:					int							=     "Alexander Joslin"

import operator as op

from .stack import Stack

def    UpperCamelCase						(	_A			):






						"""simple docstring"""







						__magic_name__      :       List[Any]       						= {"""*""": op.mul, """/""": op.truediv, """+""": op.add, """-""": op.sub}

						__magic_name__      :       Stack[int]       						= Stack()
						__magic_name__      :       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
																		__magic_name__      :       Union[str, Any]       						= operator_stack.peek()
																		operator_stack.pop()
																		__magic_name__      :       Optional[int]       						= operand_stack.peek()
																		operand_stack.pop()
																		__magic_name__      :       Union[str, Any]       						= operand_stack.peek()
																		operand_stack.pop()

																		__magic_name__      :       Optional[int]       						= operators[opr](_A,   _A			)
																		operand_stack.push(_A			)

    # RULE 5
						return operand_stack.peek()


if __name__ == "__main__":
		__magic_name__:					List[Any]							=     "(5 + ((4 * 2) * (2 + 3)))"
		# answer = 45
		print(F"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")








from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm

def    UpperCamelCase						(	_A,   _A			):






						"""simple docstring"""







						return math.sqrt(sum(pow(a - b,   2			) for a, b in zip(_A,   _A			)			)			)

def    UpperCamelCase						(	_A,   _A			):






						"""simple docstring"""







						if dataset.ndim != value_array.ndim:
												__magic_name__      :       str       						= (
												    """Wrong input data's dimensions... """
												    f'dataset : {dataset.ndim}, value_array : {value_array.ndim}'
												)
												raise ValueError(_A			)

						try:
												if dataset.shape[1] != value_array.shape[1]:
																		__magic_name__      :       Optional[Any]       						= (
																		    """Wrong input data's shape... """
																		    f'dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}'
																		)
																		raise ValueError(_A			)
						except IndexError:
												if dataset.ndim != value_array.ndim:
																		raise TypeError("""Wrong shape"""			)

						if dataset.dtype != value_array.dtype:
												__magic_name__      :       List[Any]       						= (
												    """Input data have different datatype... """
												    f'dataset : {dataset.dtype}, value_array : {value_array.dtype}'
												)
												raise TypeError(_A			)

						__magic_name__      :       Dict       						= []

						for value in value_array:
												__magic_name__      :       Tuple       						= euclidean(_A,   dataset[0]			)
												__magic_name__      :       Any       						= dataset[0].tolist()

												for dataset_value in dataset[1:]:
																		__magic_name__      :       Any       						= euclidean(_A,   _A			)

																		if dist > temp_dist:
																								__magic_name__      :       Dict       						= temp_dist
																								__magic_name__      :       Any       						= dataset_value.tolist()

												answer.append([vector, dist]			)

						return answer

def    UpperCamelCase						(	_A,   _A			):






						"""simple docstring"""







						return np.dot(_A,   _A			) / (norm(_A			) * norm(_A			))


if __name__ == "__main__":
		import doctest

		doctest.testmod()
