def test_J6():
""" Test a property of J from result 2 of the paper with base 10 """
for i in range(2, 10):
d = SD([1 / i] * i)
d.set_base(10)
yield assert_almost_equal, J(d), (i - 1) * (np.log10(i) -
np.log10(i - 1))
def test_init9():
outcomes = [0, 1, 2]
pmf = [1 / 3] * 3
d1 = ScalarDistribution(outcomes, pmf)
d2 = ScalarDistribution.from_distribution(d1, base=10)
d1.set_base(10)
assert d1.is_approx_equal(d2)
def test_init9():
outcomes = [0, 1, 2]
pmf = [1 / 3] * 3
d1 = ScalarDistribution(outcomes, pmf)
d2 = ScalarDistribution.from_distribution(d1, base=10)
d1.set_base(10)
assert_true(d1.is_approx_equal(d2))
def test_J5(i):
""" Test a property of J from result 2 of the paper with a log base """
d = SD([1/i]*i)
d.set_base('e')
assert J(d) == pytest.approx((i-1)*(np.log(i)-np.log(i-1)))
def test_J8():
for i in range(3, 10):
d = SD([1/i]*i)
d.set_base(i)
assert(J(d) < H(d))
def test_J6():
for i in range(2, 10):
d = SD([1/i]*i)
d.set_base(10)
assert_almost_equal(J(d), (i-1)*(np.log10(i)-np.log10(i-1)))
def test_p2():
""" Test some simple base cases using SD with varying bases """
for i in range(2, 10):
d = SD([1 / i] * i)
d.set_base(i)
yield assert_almost_equal, P(d), i
def test_p2(i):
""" Test some simple base cases using SD with varying bases """
d = SD([1 / i] * i)
d.set_base(i)
assert P(d) == pytest.approx(i)
def test_J5(i):
""" Test a property of J from result 2 of the paper with a log base """
d = SD([1/i]*i)
d.set_base('e')
assert J(d) == pytest.approx((i-1)*(np.log(i)-np.log(i-1)))
def test_p2(i):
""" Test some simple base cases using SD with varying bases """
d = SD([1/i]*i)
d.set_base(i)
assert P(d) == pytest.approx(i)
def test_H4():
""" Test entropy in base 10 """
d = SD([1 / 10] * 10)
d.set_base(10)
assert_almost_equal(H(d), 1.0)
def test_J8():
""" Test a property of J from result 1 of the paper using log bases """
for i in range(3, 10):
d = SD([1/i]*i)
d.set_base(i)
yield assert_true, J(d) < H(d)
def test_J6():
""" Test a property of J from result 2 of the paper with base 10 """
for i in range(2, 10):
d = SD([1/i]*i)
d.set_base(10)
yield assert_almost_equal, J(d), (i-1)*(np.log10(i)-np.log10(i-1))
def test_H4():
d = SD([1/10]*10)
d.set_base(10)
assert_almost_equal(H(d), 1.0)
def test_J6(i):
""" Test a property of J from result 2 of the paper with base 10 """
d = SD([1/i]*i)
d.set_base(10)
assert J(d) == pytest.approx((i-1)*(np.log10(i)-np.log10(i-1)))
def test_J8(i):
""" Test a property of J from result 1 of the paper using log bases """
d = SD([1/i]*i)
d.set_base(i)
assert J(d) < H(d)
def test_J6(i):
""" Test a property of J from result 2 of the paper with base 10 """
d = SD([1/i]*i)
d.set_base(10)
assert J(d) == pytest.approx((i-1)*(np.log10(i)-np.log10(i-1)))
def test_J8(i):
""" Test a property of J from result 1 of the paper using log bases """
d = SD([1/i]*i)
d.set_base(i)
assert J(d) < H(d)
def test_p2():
""" Test some simple base cases using SD with varying bases """
for i in range(2, 10):
d = SD([1 / i] * i)
d.set_base(i)
yield assert_almost_equal, P(d), i
def test_J8():
""" Test a property of J from result 1 of the paper using log bases """
for i in range(3, 10):
d = SD([1 / i] * i)
d.set_base(i)
yield assert_true, J(d) < H(d)
def test_p2():
for i in range(2, 10):
d = SD([1/i]*i)
d.set_base(i)
assert_almost_equal(P(d), i)
def test_H4():
""" Test entropy in base 10 """
d = SD([1 / 10] * 10)
d.set_base(10)
assert H(d) == pytest.approx(1.0)
def test_H4():
""" Test entropy in base 10 """
d = SD([1/10]*10)
d.set_base(10)
assert_almost_equal(H(d), 1.0)
