def test_gm_3():
gm = GeneralizedMean()
assert gm.radius == 1.0
gm_vals = [gm.f(x) for x in t()]
assert_array_less(gm_vals, true_t())
def test_gm_2():
gm = GeneralizedMean(20.0)
gm_vals = [gm.f(x) for x in t()]
assert_array_less(gm_vals, true_t())
def test_gm_3():
gm = GeneralizedMean()
assert gm.radius == 1.0
gm_vals = [gm.f(x) for x in t()]
assert_array_less(gm_vals, true_t())
def test_gm_4():
gm_vals_1 = np.array([GeneralizedMean(1.0).f(x) for x in t()])
gm_vals_5 = np.array([GeneralizedMean(5.0).f(x) for x in t()])
gm_vals_20 = np.array([GeneralizedMean(20.0).f(x) for x in t()])
assert_array_less(gm_vals_1, gm_vals_5)
assert_array_less(gm_vals_5, gm_vals_20)
def test_gm_2():
gm = GeneralizedMean(20.0)
gm_vals = [gm.f(x) for x in t()]
assert_array_less(gm_vals, true_t())