def test_distribution_structures6():
"""
A test for the distribution_structures strategy.
"""
dists = distribution_structures(size=3, alphabet=2, uniform=True)
example = find(dists, predicate)
assert coinformation(example) <= -1/2
def test_ii2(i):
""" Test II = -1^n * I for giant bit distributions """
outcomes = ['0'*i, '1'*i]
pmf = [1/2, 1/2]
d = D(outcomes, pmf)
ci = coinformation(d)
ii = interaction_information(d)
assert ii == pytest.approx((-1)**i * ci)
def test_ii2():
""" Test II = -1^n * I for giant bit distributions """
for i in range(2, 6):
outcomes = ['0'*i, '1'*i]
pmf = [1/2, 1/2]
d = D(outcomes, pmf)
ci = coinformation(d)
ii = interaction_information(d)
yield assert_almost_equal, ii, (-1)**i * ci
def test_markov_chains3(dist):
"""
Test the markov_chains strategy.
"""
assert coinformation(dist, [[0], [2]], [1]) == pytest.approx(0.0, abs=1e-7)
def predicate(d):
return coinformation(d) <= -1 / 2
def test_gk_pos_i_neg2():
"""
Test against known values.
"""
i = coinformation(gk_pos_i_neg)
assert i == pytest.approx(-0.33143555680040304)
def test_markov_chains1():
"""
Test the markov_chains strategy.
"""
dist = markov_chains(alphabets=3).example()
assert coinformation(dist, [[0], [2]], [1]) == pytest.approx(0.0, abs=1e-7)
def test_stacked2():
"""
Test against known values.
"""
i = coinformation(stacked, [[0], [1]], [2])
assert i == pytest.approx(2/3)
def test_stacked1():
"""
Test against known values.
"""
i = coinformation(stacked)
assert i == pytest.approx(1.5849625007211565)
def test_mixed1():
"""
Test against known values.
"""
i = coinformation(mixed)
assert i == pytest.approx(0.0)
def test_stacked2():
"""
Test against known values.
"""
i = coinformation(stacked, [[0], [1]], [2])
assert i == pytest.approx(2 / 3)
def test_stacked1():
"""
Test against known values.
"""
i = coinformation(stacked)
assert i == pytest.approx(1.5849625007211565)
def test_mixed1():
"""
Test against known values.
"""
i = coinformation(mixed)
assert i == pytest.approx(0.0)
def test_gk_pos_i_neg2():
"""
Test against known values.
"""
i = coinformation(gk_pos_i_neg)
assert i == pytest.approx(-0.33143555680040304)
def test_markov_chains1():
"""
Test the markov_chains strategy.
"""
dist = markov_chains(alphabets=3).example()
assert coinformation(dist, [[0], [2]], [1]) == pytest.approx(0.0, abs=1e-7)
def predicate(d):
return coinformation(d) <= -1/2
