def test_LMPR_complexity3():
"""
Test that uniform Distirbutions have zero complexity.
"""
for n in range(2, 11):
d = Distribution.from_distribution(uniform(n))
yield assert_almost_equal, LMPR_complexity(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_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_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_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_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_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_LMPR_complexity4():
"""
Test that peaked Distributions have zero complexity.
"""
for n in range(2, 11):
d = ScalarDistribution([1] + [0]*(n-1))
d.make_dense()
d = Distribution.from_distribution(d)
yield assert_almost_equal, LMPR_complexity(d), 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_disequilibrium4(n):
"""
Test that uniform Distributions have zero disequilibrium.
"""
d = Distribution.from_distribution(uniform(n))
assert disequilibrium(d) == pytest.approx(0)
def test_H5(i):
""" Test H for uniform distributions in various bases """
d = D.from_distribution(uniform(i))
d.set_base(i)
assert H(d) == pytest.approx(1)
def test_H4(i):
""" Test H for uniform distributions """
d = D.from_distribution(uniform(i))
assert H(d) == pytest.approx(np.log2(i))
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_H5():
""" Test H for uniform distributions in various bases """
for i in range(2, 10):
d = D.from_distribution(uniform(i))
d.set_base(i)
yield assert_almost_equal, H(d), 1
def test_H4():
""" Test H for uniform distributions """
for i in range(2, 10):
d = D.from_distribution(uniform(i))
yield assert_almost_equal, H(d), np.log2(i)
def test_H4():
""" Test H for uniform distributions """
for i in range(2, 10):
d = D.from_distribution(uniform(i))
yield assert_almost_equal, H(d), np.log2(i)
def test_H5():
""" Test H for uniform distributions in various bases """
for i in range(2, 10):
d = D.from_distribution(uniform(i))
d.set_base(i)
yield assert_almost_equal, H(d), 1
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_H5(i):
""" Test H for uniform distributions in various bases """
d = D.from_distribution(uniform(i))
d.set_base(i)
assert H(d) == pytest.approx(1)
def test_H4(i):
""" Test H for uniform distributions """
d = D.from_distribution(uniform(i))
assert H(d) == pytest.approx(np.log2(i))
