new_contents: """
  Tests for the MDBSI distributions.
  """
  
  import pytest
  
  from dit.example_dists.mdbsi import dyadic, triadic
  from dit.multivariate import (
      entropy as H,
      total_correlation as T,
      dual_total_correlation as B,
      coinformation as I,
      residual_entropy as R,
      caekl_mutual_information as J,
      tse_complexity as TSE,
      gk_common_information as K,
      wyner_common_information as C,
      exact_common_information as G,
      functional_common_information as F,
      mss_common_information as M,
  )
  from dit.other import (
      extropy as X,
      perplexity as P,
      disequilibrium as D,
  )
  
  
  @pytest.mark.parametrize(('measure', 'dy_val', 'tri_val'), [
      (H, 3, 3),
      (T, 3, 3),
      (B, 3, 3),
      (I, 0, 0),
      (R, 0, 0),
      (J, 1.5, 1.5),
      (TSE, 2, 2),
      (K, 0, 1),
      (C, 3, 3),
      (G, 3, 3),
      (F, 3, 3),
      (M, 3, 3),
      (X, 1.3485155455967712, 1.3485155455967712),
      (P, 8, 8),
      (D, 0.76124740551164605, 0.76124740551164605),
  ])
  def test_measures(measure, dy_val, tri_val):
      """
      Test that the distributions have the correct properties.
      """
      assert measure(dyadic) == dy_val
      assert measure(triadic) == tri_val
  
subject: Add tests regarding the dyadic and triadic distributions from MDBSI.