old_contents: """
  Tests for dit.multivariate.secret_key_agreement.two_part_intrinsic_mutual_information
  """
  
  import pytest
  
  from dit.example_dists import giant_bit, n_mod_m
  from dit.multivariate.secret_key_agreement import (
      two_part_intrinsic_total_correlation,
      two_part_intrinsic_dual_total_correlation,
      two_part_intrinsic_CAEKL_mutual_information
  )
  
  
  @pytest.mark.flaky(reruns=5)
  @pytest.mark.parametrize(['dist', 'value'], [
      (giant_bit(3, 2), 0.0),
      (n_mod_m(3, 2), 0.0)
  ])
  def test_tpitc1(dist, value):
      """
      """
      tpitc = two_part_intrinsic_total_correlation(dist, [[0], [1]], [2], bound_j=2, bound_u=2, bound_v=2)
      assert tpitc == pytest.approx(value)
  
  
  @pytest.mark.flaky(reruns=5)
  @pytest.mark.parametrize(['dist', 'value'], [
      (giant_bit(3, 2), 0.0),
      (n_mod_m(3, 2), 0.0)
  ])
  def test_tpidtc1(dist, value):
      """
      """
      tpidtc = two_part_intrinsic_dual_total_correlation(dist, [[0], [1]], [2], bound_j=2, bound_u=2, bound_v=2)
      assert tpidtc == pytest.approx(value)
  
  
  @pytest.mark.flaky(reruns=5)
  @pytest.mark.parametrize(['dist', 'value'], [
      (giant_bit(3, 2), 0.0),
      (n_mod_m(3, 2), 0.0)
  ])
  def test_tpicaekl1(dist, value):
      """
      """
      tpicaekl = two_part_intrinsic_CAEKL_mutual_information(dist, [[0], [1]], [2], bound_j=2, bound_u=2, bound_v=2)
      assert tpicaekl == pytest.approx(value)
  
new_contents: """
  Tests for dit.multivariate.secret_key_agreement.two_part_intrinsic_mutual_information
  """
  
  import pytest
  
  from dit.example_dists import giant_bit, n_mod_m
  from dit.multivariate.secret_key_agreement import (
      two_part_intrinsic_total_correlation,
      two_part_intrinsic_dual_total_correlation,
      two_part_intrinsic_CAEKL_mutual_information
  )
  
  
  @pytest.mark.flaky(reruns=5)
  @pytest.mark.parametrize(['dist', 'value'], [
      (giant_bit(3, 2), 0.0),
      # (n_mod_m(3, 2), 0.0),
  ])
  def test_tpitc1(dist, value):
      """
      """
      tpitc = two_part_intrinsic_total_correlation(dist, [[0], [1]], [2], bound_j=2, bound_u=2, bound_v=2)
      assert tpitc == pytest.approx(value)
  
  
  @pytest.mark.flaky(reruns=5)
  @pytest.mark.parametrize(['dist', 'value'], [
      (giant_bit(3, 2), 0.0),
      # (n_mod_m(3, 2), 0.0),
  ])
  def test_tpidtc1(dist, value):
      """
      """
      tpidtc = two_part_intrinsic_dual_total_correlation(dist, [[0], [1]], [2], bound_j=2, bound_u=2, bound_v=2)
      assert tpidtc == pytest.approx(value)
  
  
  @pytest.mark.flaky(reruns=5)
  @pytest.mark.parametrize(['dist', 'value'], [
      (giant_bit(3, 2), 0.0),
      # (n_mod_m(3, 2), 0.0),
  ])
  def test_tpicaekl1(dist, value):
      """
      """
      tpicaekl = two_part_intrinsic_CAEKL_mutual_information(dist, [[0], [1]], [2], bound_j=2, bound_u=2, bound_v=2)
      assert tpicaekl == pytest.approx(value)
  
subject: reduce number of dists tested