input: Write a python function to calculate the inverse multiplication of a given matrix using numpy.
  assert np.allclose(inverse_multiplication([[3, 4], [2, 16]]), np.eye(2))
  assert np.allclose(inverse_multiplication([[1, 2], [3, 4]]), np.eye(2))
  assert np.allclose(inverse_multiplication([[5, 7], [2, 6]]), np.eye(2))
output: import numpy as np
  
  def inverse_multiplication(matrix):
      matrix_np = np.array(matrix)
      inverse_matrix = np.linalg.inv(matrix_np)
      result = np.dot(matrix_np, inverse_matrix)
      return result