def test_iccs5():
"""
Test hcs on two correlated bits
"""
d = D(['00', '01', '10', '11'], [0.4, 0.1, 0.1, 0.4])
red = h_cs(d, ((0, ), (1, )))
assert red == pytest.approx(0.542457524090110)
def test_iccs3():
"""
Test hcs on two redundant bits.
"""
d = D(['00', '11'], [0.5] * 2)
red = h_cs(d, ((0, ), (1, )))
assert red == pytest.approx(1)
def test_iccs4():
"""
Test hcs on two independent bits
"""
d = D(['00', '01', '10', '11'], [0.25] * 4)
red = h_cs(d, ((0, ), (1, )))
assert red == pytest.approx(0)
def test_iccs1():
"""
Test hcs on redundant distribution.
"""
d = bivariates['redundant']
red = h_cs(d, ((0, ), (1, )), (2, ))
assert red == pytest.approx(1)
def test_iccs2():
"""
Test hcs on synergistic distribution.
"""
d = bivariates['synergy']
red = h_cs(d, ((0, ), (1, )), (2, ))
assert red == pytest.approx(0)
def test_iccs6():
"""
Test hcs on triadic (required maxent)
"""
triadic = D(['000', '111', '022', '133', '202', '313', '220', '331'], [1/8.0]*8)
red = h_cs(triadic, ((0,), (1,), (2,)))
assert red == pytest.approx(1)
def test_iccs6():
"""
Test hcs on triadic (required maxent)
"""
triadic = D(['000', '111','022','133','202','313','220','331'], [1/8.0]*8)
red = h_cs(triadic, ((0,), (1,), (2,)))
assert red == pytest.approx(1)
def test_iccs5():
"""
Test hcs on two correlated bits
"""
d = D(['00', '01', '10', '11'], [0.4, 0.1, 0.1, 0.4])
red = h_cs(d, ((0,), (1,)))
assert red == pytest.approx(0.542457524090110)
def test_iccs4():
"""
Test hcs on two independent bits
"""
d = D(['00', '01', '10', '11'], [0.25]*4)
red = h_cs(d, ((0,), (1,)))
assert red == pytest.approx(0)
def test_iccs3():
"""
Test hcs on two redundant bits.
"""
d = D(['00', '11'], [0.5]*2)
red = h_cs(d, ((0,), (1,)))
assert red == pytest.approx(1)
def test_iccs2():
"""
Test hcs on synergistic distribution.
"""
d = bivariates['synergy']
red = h_cs(d, ((0,), (1,)), (2,))
assert red == pytest.approx(0)
def test_iccs1():
"""
Test hcs on redundant distribution.
"""
d = bivariates['redundant']
red = h_cs(d, ((0,), (1,)), (2,))
assert red == pytest.approx(1)
