code: def test_compute_similarities(self):
      df = pd.DataFrame(
          np.random.randint(0, 100, size=(5, 4)), columns=list("ABCD")
      ).values
      instance = df[0, :]
      expected_len = 5
      expected_dist = 0
      t = _compute_similarities(instance, df)
      assert len(t) == expected_len
      assert t[0] == expected_dist
  
file_path: shapash/tests/unit_tests/utils/test_explanation_metrics.py
imports: import unittest
  import numpy
  import pandas
  from sklearn.linear_model import LinearRegression
  from shapash.utils.explanation_metrics import _df_to_array, _compute_distance, _compute_similarities, _get_radius, find_neighbors, shap_neighbors, get_min_nb_features, get_distance
label_desc: Use image node_id 3 for calling the TestExplanationMetrics obj's underlying member method code with example usage: obj.test_compute_similarities() without return types