def test_LMPR_complexity1():
"""
Test LMPR complexity of known examples.
"""
c1 = LMPR_complexity(d1)
c2 = LMPR_complexity(d2)
assert c1 == pytest.approx(0.28945986160258008)
assert c2 == pytest.approx(0.28945986160258008)
assert c1 == pytest.approx(c2)
def test_LMPR_complexity5(n):
"""
Test that peaked Distributions have zero complexity.
"""
d = ScalarDistribution([1] + [0] * (n - 1))
d.make_dense()
d = Distribution.from_distribution(d)
assert LMPR_complexity(d) == pytest.approx(0)
def test_LMPR_complexity3(n):
"""
Test that uniform Distirbutions have zero complexity.
"""
d = Distribution.from_distribution(uniform(n))
assert LMPR_complexity(d) == pytest.approx(0)
def test_LMPR_complexity2(n):
"""
Test that uniform ScalarDistirbutions have zero complexity.
"""
d = uniform(n)
assert LMPR_complexity(d) == pytest.approx(0)
def test_LMPR_complexity4(n):
"""
Test that peaked ScalarDistributions have zero complexity.
"""
d = ScalarDistribution([1] + [0] * (n - 1))
assert LMPR_complexity(d) == pytest.approx(0)
