def test_rand_instability_score():
s = 20
ks = np.arange(2, 21)
n = 30
rand_scores = rand_instability_score(ks, n, s)
assert_array_equal(rand_scores.keys(), ks)
for rand_score in rand_scores.values():
assert_less_equal(rand_score, 1.)
assert_greater_equal(rand_score, 0.)
def test_instability_class():
a = np.arange(9)
b = np.arange(9)
s = 20
ks = np.arange(2, len(a)+1)
rand_scores = rand_instability_score(ks, len(a), s)
instability_score = InstabilityScore(rand_scores)
assert_equal(instability_score(a, b, k=9), 0)
assert_raises(ValueError, instability_score, a, b)
for i in xrange(20):
a = generate_random_labeling(5, 10)
b = generate_random_labeling(5, 10)
ks = np.arange(2, 11)
rand_scores = rand_instability_score(ks, len(a), s)
instability_score = InstabilityScore(rand_scores)
for k in ks:
score = instability_score(a, b, k=k)
assert_greater_equal(score, 0.)
def test_instability_class():
a = np.arange(9)
b = np.arange(9)
s = 20
ks = np.arange(2, len(a) + 1)
rand_scores = rand_instability_score(ks, len(a), s)
instability_score = InstabilityScore(rand_scores)
assert_equal(instability_score(a, b, k=9), 0)
assert_raises(ValueError, instability_score, a, b)
for i in xrange(20):
a = generate_random_labeling(5, 10)
b = generate_random_labeling(5, 10)
ks = np.arange(2, 11)
rand_scores = rand_instability_score(ks, len(a), s)
instability_score = InstabilityScore(rand_scores)
for k in ks:
score = instability_score(a, b, k=k)
assert_greater_equal(score, 0.)
def test_rand_instability_score():
s = 20
ks = np.arange(2, 21)
n = 30
rand_scores = rand_instability_score(ks, n, s)
assert_array_equal(rand_scores.keys(), ks)
for rand_score in rand_scores.values():
assert_less_equal(rand_score, 1.)
assert_greater_equal(rand_score, 0.)
