def test_arcsin_numeric_value():
assert np.isclose(ef.arcsin(0.2), np.arcsin(0.2))
def test_arcsin_numeric_input_no_deriv():
with pytest.raises(AttributeError):
assert ef.arcsin(-0.2).der
def test_arcsin_illegal_arg():
with pytest.raises(AttributeError):
assert ef.arcsin("thirty")
def test_arcsin_no_sec_derivative_xy():
x = AutoDiff(0.5, "x")
y = AutoDiff(0.4, "y")
with pytest.raises(AttributeError):
assert ef.arcsin(x * x * y * y).der2['x']
def test_arcsin_numeric_input_no_val():
with pytest.raises(AttributeError):
assert ef.arcsin(0.2).val
def test_arcsin_deriv2_y():
x = AutoDiff(0.5, "x", H=True)
y = AutoDiff(0.6, "y", H=True)
f = ef.arcsin(x * x * y * y)
assert np.isclose(f.der2['y'], 0.5102368064604322)
def test_logit_deriv2_xy():
x = AutoDiff(0.5, "x", H=True)
y = AutoDiff(0.6, "y", H=True)
f = ef.arcsin(x * x * y * y)
assert np.isclose(f.der2['xy'], 1.2147290303591283)
def test_arcsin_deriv2_x():
x = AutoDiff(0.5, "x", H=True)
y = AutoDiff(0.6, "y", H=True)
f = ef.arcsin(x * x * y * y)
assert np.isclose(f.der2['x'], 0.7347410013030223)
def test_arcsin_deriv_y():
x = AutoDiff(0.5, "x")
y = AutoDiff(0.6, "y")
f = ef.arcsin(x * x * y * y)
assert np.isclose(f.der['y'], 0.30122243130330484)
def test_arcsin_deriv_x():
x = AutoDiff(0.5, "x")
y = AutoDiff(0.6, "y")
f = ef.arcsin(x * x * y * y)
assert np.isclose(f.der['x'], 0.3614669175639658)
def test_arcsin_val():
x = AutoDiff(0.5, "x")
y = AutoDiff(0.6, "y")
f = ef.arcsin(x * x * y * y)
assert np.isclose(f.val, 0.09012194501459525)
def test_arcsin_val_error():
x = AutoDiff(1.1, "x")
y = AutoDiff(2.2, "y")
with pytest.warns(RuntimeWarning):
assert ef.arcsin(x * x * y * y)
