def test_ii3():
""" Test II and conditional II for xor """
d = Xor()
ii1 = interaction_information(d, [[0], [1], [2]], [2])
ii2 = interaction_information(d, [[0], [1]], [2])
assert ii1 == pytest.approx(0)
assert ii2 == pytest.approx(1)
def test_cre_3():
"""
Test that the CRE fails when the events are not numbers.
"""
dist = Xor()
with pytest.raises(TypeError):
CRE(dist)
def test_gcre_3():
"""
Test that the GCRE fails on non-numeric events.
"""
dist = Xor()
with pytest.raises(TypeError):
GCRE(dist)
def test_ii3():
""" Test II and conditional II for xor """
d = Xor()
ii1 = interaction_information(d, [[0], [1], [2]], [2])
ii2 = interaction_information(d, [[0], [1]], [2])
assert_almost_equal(ii1, 0)
assert_almost_equal(ii2, 1)
def test_distribution_constraint1():
"""
Test the xor distribution.
"""
d = Xor()
ad = get_abstract_dist(d)
A, b = distribution_constraint([0], [1], ad)
true_A = np.array([[0, 0, 1, 1, -1, -1, 0, 0], [0, 0, -1, -1, 1, 1, 0, 0]])
true_b = np.array([0, 0, 0, 0, 0, 0, 0, 0])
assert (A == true_A).all()
assert (b == true_b).all()
def test_xor():
""" Test the Xor distribution """
d = Xor()
d = pruned_samplespace(d)
d = insert_meet(d, -1, [[0], [1]])
i1 = mutual_information(d, [0], [2])
i2 = mutual_information(d, [1], [2])
i12 = mutual_information(d, [0, 1], [2])
r = mutual_information(d, [2], [3])
assert_almost_equal(i1, 0)
assert_almost_equal(i2, 0)
assert_almost_equal(i12, 1)
assert_almost_equal(r, 0)
def test_xor():
""" Test the Xor distribution """
d = Xor()
d = pruned_samplespace(d)
d = insert_meet(d, -1, [[0], [1]])
i1 = mutual_information(d, [0], [2])
i2 = mutual_information(d, [1], [2])
i12 = mutual_information(d, [0, 1], [2])
r = mutual_information(d, [2], [3])
assert i1 == pytest.approx(0)
assert i2 == pytest.approx(0)
assert i12 == pytest.approx(1)
assert r == pytest.approx(0)
def test_gcre_3():
"""
Test that the GCRE fails on non-numeric events.
"""
dist = Xor()
assert_raises(TypeError, GCRE, dist)
def test_cre_3():
"""
Test that the CRE fails when the events are not numbers.
"""
dist = Xor()
assert_raises(TypeError, CRE, dist)
def test_mincoinfo_1():
"""
Test mincoinfo
"""
d = uniform(['000', '111'])
mcio = MinCoInfoOptimizer(d, [[0], [1], [2]])
mcio.optimize()
dp = mcio.construct_dist()
assert I(dp) == pytest.approx(-1)
@pytest.mark.skip(reason="This method if deprecated.")
@pytest.mark.parametrize(('dist', 'vals'), [
(Rdn(), (1, 0, 0, 0)),
(Unq(), (0, 1, 1, 0)),
(Xor(), (0, 0, 0, 1)),
])
def test_broja_1(dist, vals):
"""
Test broja.
"""
with warnings.catch_warnings():
pid = pid_broja(dist, [[0], [1]], [2])
assert pid == pytest.approx(vals, abs=1e-4)
@pytest.mark.flaky(reruns=5)
def test_dtc_1():
"""
test max dtc
"""
def test_constructor(func, fast):
""" Test that constructor and opt give same answer """
slow = deweese_constructor(func)
val_1 = slow(Xor())
val_2 = fast(Xor(), deterministic=True)
assert val_1 == pytest.approx(val_2)