def test_SBM_epsilon(self):
np.random.seed(12345678)
B1 = np.array([[0.5, 0.2], [0.2, 0.5]])
B2 = np.array([[0.7, 0.2], [0.2, 0.7]])
b_size = 200
A1 = sbm(2 * [b_size], B1)
A2 = sbm(2 * [b_size], B1)
A3 = sbm(2 * [b_size], B2)
# non parallel test
lpt_null = latent_position_test(A1,
A2,
n_components=2,
n_bootstraps=100)
lpt_alt = latent_position_test(A1,
A3,
n_components=2,
n_bootstraps=100)
self.assertTrue(lpt_null[0] > 0.05)
self.assertTrue(lpt_alt[0] <= 0.05)
# parallel test
lpt_null = latent_position_test(A1,
A2,
n_components=2,
n_bootstraps=100,
workers=-1)
lpt_alt = latent_position_test(A1,
A3,
n_components=2,
n_bootstraps=100,
workers=-1)
self.assertTrue(lpt_null[0] > 0.05)
self.assertTrue(lpt_alt[0] <= 0.05)
def test_n_bootstraps(self):
np.random.seed(1234556)
A1 = er_np(20, 0.3)
A2 = er_np(20, 0.3)
lpt = latent_position_test(A1, A2, n_bootstraps=234, n_components=None)
assert lpt[2]["null_distribution_1"].shape[0] == 234
def test_bad_matrix_inputs(self):
np.random.seed(1234556)
A1 = er_np(20, 0.3)
A2 = er_np(20, 0.3)
A1[2, 0] = 1 # make asymmetric
with pytest.raises(
NotImplementedError): # TODO : remove when we implement
latent_position_test(A1, A2)
bad_matrix = [[1, 2]]
with pytest.raises(TypeError):
latent_position_test(bad_matrix, A2)
with pytest.raises(ValueError):
latent_position_test(A1[:2, :2], A2)
def test_bad_kwargs(self):
np.random.seed(1234556)
A1 = er_np(20, 0.3)
A2 = er_np(20, 0.3)
with pytest.raises(ValueError):
latent_position_test(A1, A2, n_components=-100)
with pytest.raises(ValueError):
latent_position_test(A1, A2, test_case="oops")
with pytest.raises(ValueError):
latent_position_test(A1, A2, n_bootstraps=-100)
with pytest.raises(ValueError):
latent_position_test(A1, A2, embedding="oops")
with pytest.raises(TypeError):
latent_position_test(A1, A2, n_bootstraps=0.5)
with pytest.raises(TypeError):
latent_position_test(A1, A2, n_components=0.5)
with pytest.raises(TypeError):
latent_position_test(A1, A2, embedding=6)
with pytest.raises(TypeError):
latent_position_test(A1, A2, test_case=6)
with pytest.raises(TypeError):
latent_position_test(A1, A2, workers="oops")
def test_omni_works(self):
np.random.seed(1234556)
A1 = er_np(20, 0.3)
A2 = er_np(20, 0.3)
lpt = latent_position_test(A1, A2, embedding="omnibus")
def test_ase_works(self):
np.random.seed(1234556)
A1 = er_np(20, 0.3)
A2 = er_np(20, 0.3)
lpt = latent_position_test(A1, A2)
