def test_lse_4():
lse_vals_1 = np.array([LogSumExponential(1.0).f(x) for x in t()])
lse_vals_5 = np.array([LogSumExponential(5.0).f(x) for x in t()])
lse_vals_20 = np.array([LogSumExponential(20.0).f(x) for x in t()])
assert_array_less(lse_vals_1, lse_vals_5)
assert_array_less(lse_vals_5, lse_vals_20)
def test_lse_3():
lse = LogSumExponential()
assert lse.radius == 1.0
lse_vals = [lse.f(x) for x in t()]
assert_array_less(lse_vals, true_t())
def test_lse_3():
lse = LogSumExponential()
assert lse.radius == 1.0
lse_vals = [lse.f(x) for x in t()]
assert_array_less(lse_vals, true_t())
def test_lse_2():
lse = LogSumExponential(20.0)
lse_vals = [lse.f(x) for x in t()]
assert_array_less(lse_vals, true_t())
def test_lse_2():
lse = LogSumExponential(20.0)
lse_vals = [lse.f(x) for x in t()]
assert_array_less(lse_vals, true_t())
