def test_norm_smoketest():
d = np.array([.2, .3, .5])
# prng is None
dit.math.prng.seed(0)
x = module.norm(d)
x_ = np.array([0.49606291, 0.13201838, 0.37191871])
assert np.allclose(x, x_)
# prng is not None
dit.math.prng.seed(0)
x = module.norm(d, prng=dit.math.prng)
assert np.allclose(x, x_)
# size is not None
dit.math.prng.seed(0)
x = module.norm(d, size=1)
assert np.allclose(x, np.asarray([x_]))
def test_norm_smoketest():
d = np.array([.2, .3, .5])
# prng is None
dit.math.prng.seed(0)
x = module.norm(d)
x_ = np.array([ 0.49606291, 0.13201838, 0.37191871])
np.testing.assert_allclose(x, x_)
# prng is not None
dit.math.prng.seed(0)
x = module.norm(d, prng=dit.math.prng)
np.testing.assert_allclose(x, x_)
# size is not None
dit.math.prng.seed(0)
x = module.norm(d, size=1)
np.testing.assert_allclose(x, np.asarray([x_]))
def test_norm_spherical_cov():
d = np.array([.2, .3, .5])
dit.math.prng.seed(0)
x = module.norm(d, .3)
x_ = np.array([0.34790127, 0.20240029, 0.44969844])
assert np.allclose(x, x_)
def test_norm_spherical_cov():
d = np.array([.2, .3, .5])
dit.math.prng.seed(0)
x = module.norm(d, .3)
x_ = np.array([ 0.34790127, 0.20240029, 0.44969844])
np.testing.assert_allclose(x, x_)
