def test_random(self):
""" random test """
rnd = RandomDataProvider(seed=1)
rnd.run()
similarity = np.array([[1.00000000e+00, 6.2284804e-04], [6.2284804e-04, 1.00000000e+00]])
covariance = np.array([[1.75870991, -0.32842528], [-0.32842528, 2.31429182]])
np.testing.assert_array_almost_equal(rnd.get_covariance_matrix(), covariance, decimal=3)
np.testing.assert_array_almost_equal(rnd.get_similarity_matrix(), similarity, decimal=3)
def test_random(self):
""" random test """
rnd = RandomDataProvider(seed=1)
rnd.run()
similarity = np.array([[1.00000000e+00, 6.2284804e-04],
[6.2284804e-04, 1.00000000e+00]])
covariance = np.array([[2.08413157, 0.20842107],
[0.20842107, 1.99542187]])
np.testing.assert_array_almost_equal(rnd.get_covariance_matrix(),
covariance,
decimal=3)
np.testing.assert_array_almost_equal(rnd.get_similarity_matrix(),
similarity,
decimal=3)
def test_random(self):
""" random test """
similarity = np.array([[1.00000000e+00, 6.2284804e-04], [6.2284804e-04, 1.00000000e+00]])
covariance = np.array([[2.08413157, 0.20842107], [0.20842107, 1.99542187]])
try:
rnd = RandomDataProvider(seed=1)
rnd.run()
with self.subTest('test RandomDataProvider get_covariance_matrix'):
np.testing.assert_array_almost_equal(rnd.get_covariance_matrix(),
covariance, decimal=3)
with self.subTest('test RandomDataProvider get_similarity_matrix'):
np.testing.assert_array_almost_equal(rnd.get_similarity_matrix(),
similarity, decimal=3)
except NameError as ex:
self.skipTest(str(ex))