code: def test_distances(model, X):
      y_hat = model._distances(X)
      assert_array_almost_equal(
          y_hat,
          [
              [1.2910, 1.0000],
              [0.5774, 1.7321],
              [0.8165, 1.8257],
              [1.4142, 1.8257],
              [1.4142, 0.8165],
              [2.9439, 3.3665],
              [1.0000, 0.5774],
              [0.5774, 1.9149],
              [0.8165, 0.8165],
              [1.2910, 1.7321],
              [0.8165, 1.4142],
          ],
          4,
      )
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.kmeans import KMeans
  from .distributions._utils import _test_initialization_raises_one_parameter
  from .distributions._utils import _test_initialization
  from .distributions._utils import _test_predictions
  from .distributions._utils import _test_efd_from_summaries
  from .distributions._utils import _test_raises
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 11 for calling a global function with example usage: test_distances(model, X) without return types