def test_product(dtype, nelem):
np.random.seed(0)
dtype = cudf.dtype(dtype).type
if cudf.dtype(dtype).kind in {"u", "i"}:
data = np.ones(nelem, dtype=dtype)
# Set at most 30 items to [0..2) to keep the value within 2^32
for _ in range(30):
data[np.random.randint(low=0, high=nelem, size=1)] = (
np.random.uniform() * 2
)
else:
data = gen_rand(dtype, nelem)
sr = Series(data)
got = sr.product()
expect = pd.Series(data).product()
significant = 4 if dtype == np.float32 else 6
np.testing.assert_approx_equal(expect, got, significant=significant)
