def test_cgcre_2(crvs):
"""
Test that independent RVs have CGCRE = GCRE.
"""
d = miwin()
rv = (set([0, 1, 2]) - set(crvs)).pop()
ccre1 = CGCRE(d, rv, crvs)
ccre2 = CGCRE(d, rv)
assert GCRE(d)[rv] == pytest.approx(mean(ccre1))
assert GCRE(d)[rv] == pytest.approx(mean(ccre2))
assert standard_deviation(ccre1) == pytest.approx(0)
def test_cgcre_2():
"""
Test that independent RVs have CGCRE = GCRE.
"""
d = miwin()
for crvs in combinations([0, 1, 2], 2):
rv = (set([0, 1, 2]) - set(crvs)).pop()
ccre1 = CGCRE(d, rv, crvs)
ccre2 = CGCRE(d, rv)
yield assert_almost_equal, GCRE(d)[rv], mean(ccre1)
yield assert_almost_equal, GCRE(d)[rv], mean(ccre2)
yield assert_almost_equal, standard_deviation(ccre1), 0
def test_gcre_4():
"""
Test that equal-length uniform distributions all have the same GCRE.
"""
gcres = [GCRE(uniform(i, i + 5)) for i in range(-5, 1)]
for gcre in gcres:
yield assert_almost_equal, gcre, gcres[0]
def test_gcre_3():
"""
Test that the GCRE fails on non-numeric events.
"""
dist = Xor()
with pytest.raises(TypeError):
GCRE(dist)
def test_cgcre_1():
"""
Test the CGCRE against known values.
"""
d = conditional_uniform2()
cgcre = CGCRE(d, 1, [0])
uniforms = [GCRE(uniform(i)) for i in range(1, 6)]
assert_array_almost_equal(cgcre.outcomes, uniforms)
def test_gcre_1():
"""
Test the GCRE against known values for the uniform distribution.
"""
dists = [uniform(-n // 2, n // 2) for n in range(2, 23, 2)]
results = [
0.5, 1.31127812, 2.06831826, 2.80927657, 3.54316518, 4.27328199,
5.00113503, 5.72751654, 6.45288453, 7.17752308, 7.90161817
]
for d, r in zip(dists, results):
yield assert_almost_equal, r, GCRE(d)
def test_gcre_32():
"""
Test the GCRE of a multivariate distribution.
"""
d = miwin()
assert_array_almost_equal(GCRE(d), [3.34415526, 3.27909534, 2.56831826])
def test_gcre_32():
"""
Test the GCRE of a multivariate distribution.
"""
d = miwin()
assert np.allclose(GCRE(d), [3.34415526, 3.27909534, 2.56831826])
def test_gcre_1(n, val):
"""
Test the GCRE against known values for the uniform distribution.
"""
dist = uniform(-n // 2, n // 2)
assert GCRE(dist) == pytest.approx(val)
def test_gcre_4(i):
"""
Test that equal-length uniform distributions all have the same GCRE.
"""
gcre = GCRE(uniform(i, i + 5))
assert gcre == pytest.approx(GCRE(uniform(-5, 0)))