def test_sc_2():
"""
Test the distribution.
"""
sc = SecrecyCapacity(intrinsic_1, [0], [1], [2], bound_u=2)
sc.optimize(x0=sc.construct_random_initial())
d = sc.construct_distribution()
assert total_correlation(d, [[3], [1]]) - total_correlation(d, [[3], [2]]) == pytest.approx(0)
def test_sc_2():
"""
Test the distribution.
"""
sc = SecrecyCapacity(intrinsic_1, [0], [1], [2], bound_u=2)
sc.optimize(x0=sc.construct_random_initial())
d = sc.construct_distribution()
assert total_correlation(d, [[3], [1]]) - total_correlation(
d, [[3], [2]]) == pytest.approx(0)
def test_bounds(dist):
"""
I[X:Y v Z] <= I[X:Y]
I[X:Y v Z] <= I[X:Y|Z]
"""
imi = IMI.intrinsic_total_correlation(dist, [[0], [1]], [2])
mi = total_correlation(dist, [[0], [1]])
cmi = total_correlation(dist, [[0], [1]], [2])
assert imi <= mi + 1e-10
assert imi <= cmi + 1e-10
def test_bounds(dist):
"""
I[X:Y v Z] <= I[X:Y]
I[X:Y v Z] <= I[X:Y|Z]
"""
imi = IMI.intrinsic_total_correlation(dist, [[0], [1]], [2])
mi = total_correlation(dist, [[0], [1]])
cmi = total_correlation(dist, [[0], [1]], [2])
assert imi <= mi + 1e-10
assert imi <= cmi + 1e-10
def test_cohesion_1(dist):
"""
Test that k=1 is the total correlation.
"""
tc = total_correlation(dist)
c = cohesion(dist, k=1)
assert tc == pytest.approx(c)
def test_itc5():
"""
Test with initial condition.
"""
itc = IMI.IntrinsicTotalCorrelation(dist1, [[0], [1]], [2])
itc.optimize(x0=np.eye(4).ravel(), niter=5)
d = itc.construct_distribution()
print(d)
val = total_correlation(d, [[0], [1]], [3])
assert val == pytest.approx(0)
def test_itc5():
"""
Test with initial condition.
"""
itc = IMI.IntrinsicTotalCorrelation(dist1, [[0], [1]], [2])
itc.optimize(x0=np.eye(4).ravel(), niter=5)
d = itc.construct_distribution()
print(d)
val = total_correlation(d, [[0], [1]], [3])
assert val == pytest.approx(0)
