def test_fci1():
"""
Test known values.
"""
d = Distribution(['000', '011', '101', '110'], [1 / 4] * 4)
assert F(d) == pytest.approx(2.0)
assert F(d, [[0], [1]]) == pytest.approx(0.0)
assert F(d, [[0], [1]], [2]) == pytest.approx(1.0)
def test_fci2():
"""
Test known values w/ rv names.
"""
d = Distribution(['000', '011', '101', '110'], [1 / 4] * 4)
d.set_rv_names('XYZ')
assert F(d) == pytest.approx(2.0)
assert F(d, ['X', 'Y']) == pytest.approx(0.0)
assert F(d, ['X', 'Y'], 'Z') == pytest.approx(1.0)
def test_fci3():
"""
Test against known values
"""
outcomes = [
'000',
'a00',
'00c',
'a0c',
'011',
'a11',
'101',
'b01',
'01d',
'a1d',
'10d',
'b0d',
'110',
'b10',
'11c',
'b1c',
]
pmf = [1 / 16] * 16
d = Distribution(outcomes, pmf)
assert F(d) == pytest.approx(2.0)
def test_cis2(dist):
"""
Test that the common informations are ordered correctly.
"""
k = K(dist)
j = J(dist)
b = B(dist)
c = C(dist)
g = G(dist)
f = F(dist)
m = M(dist)
assert k <= j + epsilon
assert j <= b + epsilon
assert b <= c + epsilon
assert c <= g + epsilon
assert g <= f + epsilon
assert f <= m + epsilon
