def test_sin_scalar(self):
x1 = xnd(1.2, type="float64")
y1 = fn.sin(x1)
x2 = xnd(1.23e1, type="float32")
y2 = fn.sin(x2)
if np is not None:
a1 = np.array(1.2, dtype="float64")
b1 = np.sin(a1)
a2 = np.array(1.23e1, dtype="float32")
b2 = np.sin(a2)
np.testing.assert_equal(y1.value, b1)
np.testing.assert_equal(y2.value, b2)
def test_sin(self):
for lst, t, dtype in TEST_CASES:
x = xnd(lst, type=t)
y = fn.sin(x)
if np is not None:
a = np.array(lst, dtype=dtype)
b = np.sin(a)
np.testing.assert_equal(y, b)
def test_sin(self):
s = math.sin
lst = [[[1.0], [2.0, 3.0], [4.0, 5.0, 6.0]],
[[7.0], [8.0, 9.0], [10.0, 11.0, 12.0]]]
ans = [[[s(1.0)], [s(2.0), s(3.0)], [s(4.0), s(5.0),
s(6.0)]],
[[s(7.0)], [s(8.0), s(9.0)], [s(10.0),
s(11.0),
s(12.0)]]]
x = xnd(lst)
y = fn.sin(x)
self.assertEqual(y.value, ans)
def test_sin_strided(self):
for lst, t, dtype in TEST_CASES:
x = xnd(lst, type=t)
if x.type.ndim < 2:
continue
y = x[::-2, ::-2]
z = fn.sin(y)
if np is not None:
a = np.array(lst, dtype=dtype)
b = a[::-2, ::-2]
c = np.sin(b)
np.testing.assert_equal(z, c)