code: def test_scipy_distance(mock_obj, mock_det):
      euc = ScipyDistance("euclidean")
  
      det = mock_det([[1, 2], [3, 4]])
      obj = mock_obj([[1, 2], [4, 4]])
  
      dist_matrix = euc.get_distances([obj], [det])
  
      assert type(dist_matrix) == np.ndarray
      assert dist_matrix.shape == (1, 1)
      assert dist_matrix[0, 0] == 1.0
  
file_path: norfair/tests/test_distances.py
imports: import numpy
  import pytest
  from norfair.distances import ScalarDistance, ScipyDistance, VectorizedDistance, create_keypoints_voting_distance, create_normalized_mean_euclidean_distance, frobenius, get_distance_by_name
label_desc: Use image node_id 9 for calling a global function with example usage: test_scipy_distance(mock_obj, mock_det) without return types