def test_disequilibrium2():
"""
Test that while the XOR distribution has non-zero disequilibrium, all its
marginals have zero disequilibrium (are uniform).
"""
assert disequilibrium(d2) > 0
for rvs in combinations(flatten(d2.rvs), 2):
assert disequilibrium(d2, rvs) == pytest.approx(0)
def test_disequilibrium2():
"""
Test that while the XOR distribution has non-zero disequilibrium, all its
marginals have zero disequilibrium (are uniform).
"""
assert disequilibrium(d2) > 0
for rvs in combinations(flatten(d2.rvs), 2):
assert disequilibrium(d2, rvs) == pytest.approx(0)
def test_disequilibrium2():
"""
Test that while the XOR distribution has non-zero disequilibrium, all its
marginals have zero disequilibrium (are uniform).
"""
assert_true(disequilibrium(d2) > 0)
for rvs in combinations(flatten(d2.rvs), 2):
assert_almost_equal(disequilibrium(d2, rvs), 0)
def test_disequilibrium1():
"""
Test that two known distributions have the same disequilibrium.
"""
dis1 = disequilibrium(d1)
dis2 = disequilibrium(d2)
assert dis1 == pytest.approx(0.43418979240387018)
assert dis2 == pytest.approx(0.43418979240387018)
assert dis1 == pytest.approx(dis2)
def test_disequilibrium1():
"""
Test that two known distributions have the same disequilibrium.
"""
dis1 = disequilibrium(d1)
dis2 = disequilibrium(d2)
assert dis1 == pytest.approx(0.43418979240387018)
assert dis2 == pytest.approx(0.43418979240387018)
assert dis1 == pytest.approx(dis2)
def test_disequilibrium1():
"""
Test that two known distributions have the same disequilibrium.
"""
dis1 = disequilibrium(d1)
dis2 = disequilibrium(d2)
assert_almost_equal(dis1, 0.43418979240387018)
assert_almost_equal(dis2, 0.43418979240387018)
assert_almost_equal(dis1, dis2)
def test_disequilibrium5():
"""
Test that peaked ScalarDistributions have non-zero disequilibrium.
"""
for n in range(2, 11):
d = ScalarDistribution([1] + [0]*(n-1))
yield assert_greater, disequilibrium(d), 0
def test_disequilibrium4():
"""
Test that uniform Distributions have zero disequilibrium.
"""
for n in range(2, 11):
d = Distribution.from_distribution(uniform(n))
yield assert_almost_equal, disequilibrium(d), 0
def test_disequilibrium3():
"""
Test that uniform ScalarDistributions have zero disequilibrium.
"""
for n in range(2, 11):
d = uniform(n)
yield assert_almost_equal, disequilibrium(d), 0
def test_disequilibrium6(n):
"""
Test that peaked Distributions have non-zero disequilibrium.
"""
d = ScalarDistribution([1] + [0] * (n - 1))
d.make_dense()
d = Distribution.from_distribution(d)
assert disequilibrium(d) >= 0
def test_disequilibrium6(n):
"""
Test that peaked Distributions have non-zero disequilibrium.
"""
d = ScalarDistribution([1] + [0]*(n-1))
d.make_dense()
d = Distribution.from_distribution(d)
assert disequilibrium(d) >= 0
def test_disequilibrium6():
"""
Test that peaked Distributions have non-zero disequilibrium.
"""
for n in range(2, 11):
d = ScalarDistribution([1] + [0]*(n-1))
d.make_dense()
d = Distribution.from_distribution(d)
yield assert_greater, disequilibrium(d), 0
def test_disequilibrium4(n):
"""
Test that uniform Distributions have zero disequilibrium.
"""
d = Distribution.from_distribution(uniform(n))
assert disequilibrium(d) == pytest.approx(0)
def test_disequilibrium5(n):
"""
Test that peaked ScalarDistributions have non-zero disequilibrium.
"""
d = ScalarDistribution([1] + [0] * (n - 1))
assert disequilibrium(d) >= 0
def test_disequilibrium4(n):
"""
Test that uniform Distributions have zero disequilibrium.
"""
d = Distribution.from_distribution(uniform(n))
assert disequilibrium(d) == pytest.approx(0)
def test_disequilibrium3(n):
"""
Test that uniform ScalarDistributions have zero disequilibrium.
"""
d = uniform(n)
assert disequilibrium(d) == pytest.approx(0)
def test_disequilibrium3(n):
"""
Test that uniform ScalarDistributions have zero disequilibrium.
"""
d = uniform(n)
assert disequilibrium(d) == pytest.approx(0)
def test_disequilibrium5(n):
"""
Test that peaked ScalarDistributions have non-zero disequilibrium.
"""
d = ScalarDistribution([1] + [0]*(n-1))
assert disequilibrium(d) >= 0
