"""simple docstring"""



from __future__ import annotations

from decimal import Decimal

from numpy import array

def  _A(		lowerCAmelCase							):
							A__       :     Union[str, Any]								=			Decimal

							# Check if the provided matrix has 2 rows and 2 columns
							# since this implementation only works for 2x2 matrices
							if len(snake_case__							) == 2 and len(matrix[0]							) == 2 and len(matrix[1]							) == 2:
														# Calculate the determinant of the matrix
														A__       :     Union[str, Any]								=			float(
														    d(matrix[0][0]							) * d(matrix[1][1]							) - d(matrix[1][0]							) * d(matrix[0][1]							)							)
														if determinant == 0:
																					raise ValueError("""This matrix has no inverse."""							)

														# Creates a copy of the matrix with swapped positions of the elements
														A__       :     List[Any]								=			[[0.0, 0.0], [0.0, 0.0]]
														A__				,							A__       :     Optional[Any]								=			matrix[1][1], matrix[0][0]
														A__				,							A__       :     Union[str, Any]								=			-matrix[1][0], -matrix[0][1]

														# Calculate the inverse of the matrix
														return [
														    [(float(d(snake_case__							)							) / determinant) or 0.0 for n in row] for row in swapped_matrix
														]
							elif (
							    len(snake_case__							) == 3
							    and len(matrix[0]							) == 3
							    and len(matrix[1]							) == 3
							    and len(matrix[2]							) == 3
							):
														# Calculate the determinant of the matrix using Sarrus rule
														A__       :     int								=			float(
														    (
														        (d(matrix[0][0]							) * d(matrix[1][1]							) * d(matrix[2][2]							))
														        + (d(matrix[0][1]							) * d(matrix[1][2]							) * d(matrix[2][0]							))
														        + (d(matrix[0][2]							) * d(matrix[1][0]							) * d(matrix[2][1]							))
														    )
														    - (
														        (d(matrix[0][2]							) * d(matrix[1][1]							) * d(matrix[2][0]							))
														        + (d(matrix[0][1]							) * d(matrix[1][0]							) * d(matrix[2][2]							))
														        + (d(matrix[0][0]							) * d(matrix[1][2]							) * d(matrix[2][1]							))
														    )							)
														if determinant == 0:
																					raise ValueError("""This matrix has no inverse."""							)

														# Creating cofactor matrix
														A__       :     Dict								=			[
														    [d(0.0							), d(0.0							), d(0.0							)],
														    [d(0.0							), d(0.0							), d(0.0							)],
														    [d(0.0							), d(0.0							), d(0.0							)],
														]
														A__       :     int								=			(d(matrix[1][1]							) * d(matrix[2][2]							)) - (
														    d(matrix[1][2]							) * d(matrix[2][1]							)
														)
														A__       :     int								=			-(
														    (d(matrix[1][0]							) * d(matrix[2][2]							)) - (d(matrix[1][2]							) * d(matrix[2][0]							))
														)
														A__       :     List[Any]								=			(d(matrix[1][0]							) * d(matrix[2][1]							)) - (
														    d(matrix[1][1]							) * d(matrix[2][0]							)
														)
														A__       :     List[str]								=			-(
														    (d(matrix[0][1]							) * d(matrix[2][2]							)) - (d(matrix[0][2]							) * d(matrix[2][1]							))
														)
														A__       :     List[Any]								=			(d(matrix[0][0]							) * d(matrix[2][2]							)) - (
														    d(matrix[0][2]							) * d(matrix[2][0]							)
														)
														A__       :     str								=			-(
														    (d(matrix[0][0]							) * d(matrix[2][1]							)) - (d(matrix[0][1]							) * d(matrix[2][0]							))
														)
														A__       :     Dict								=			(d(matrix[0][1]							) * d(matrix[1][2]							)) - (
														    d(matrix[0][2]							) * d(matrix[1][1]							)
														)
														A__       :     Optional[Any]								=			-(
														    (d(matrix[0][0]							) * d(matrix[1][2]							)) - (d(matrix[0][2]							) * d(matrix[1][0]							))
														)
														A__       :     Tuple								=			(d(matrix[0][0]							) * d(matrix[1][1]							)) - (
														    d(matrix[0][1]							) * d(matrix[1][0]							)
														)

														# Transpose the cofactor matrix (Adjoint matrix)
														A__       :     Dict								=			array(snake_case__							)
														for i in range(3							):
																					for j in range(3							):
																												A__       :     List[str]								=			cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
														A__       :     Tuple								=			array(snake_case__							)
														for i in range(3							):
																					for j in range(3							):
																												inverse_matrix[i][j] /= d(snake_case__							)

        # Calculate the inverse of the matrix
														return [[float(d(snake_case__							)							) or 0.0 for n in row] for row in inverse_matrix]
							raise ValueError("""Please provide a matrix of size 2x2 or 3x3."""							)








"""simple docstring"""




def 						A							(  snake_case__     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   1
			SCREAMING_SNAKE_CASE__										=   2
			while i * i <= n:
						SCREAMING_SNAKE_CASE__										=   0
						while n % i == 0:
									n //= i
									multiplicity += 1
						n_divisors *= multiplicity + 1
						i += 1
			if n > 1:
						n_divisors *= 2
			return n_divisors

def 						A							(  ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   1
			SCREAMING_SNAKE_CASE__										=   1

			while True:
						i += 1
						t_num += i

						if count_divisors(snake_case__     ) > 5_00:
									break

			return t_num


if __name__ == "__main__":
						print(solution())


