def test_irav5():
"""
Test irav on a bivariate distribution without concensus.
"""
d = bivariates['and']
red = i_rav(d, ((0, ), (1, )), (2, ))
assert red == pytest.approx(0.12255624891826589)
def test_irav4():
"""
Test irav on pointwise unique distribution.
"""
d = bivariates['pnt. unq']
red = i_rav(d, ((0, ), (1, )), (2, ))
assert red == pytest.approx(0)
def test_irav2():
"""
Test irav on synergistic distribution.
"""
d = bivariates['synergy']
red = i_rav(d, ((0, ), (1, )), (2, ))
assert red == pytest.approx(0)
def test_irav3():
"""
Test irav on unique distribution.
"""
d = bivariates['cat']
red = i_rav(d, ((0, ), (1, )), (2, ))
assert red == pytest.approx(0)
def test_irav1():
"""
Test irav on redundant distribution.
"""
d = bivariates['redundant']
red = i_rav(d, ((0, ), (1, )), (2, ))
assert red == pytest.approx(1)