def test_product(dtype, nelem):
if np.dtype(dtype).kind == "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[random.randrange(nelem)] = random.random() * 2
else:
data = gen_rand(dtype, nelem)
sr = Series(data)
got = sr.product()
expect = np.product(data)
significant = 4 if dtype == np.float32 else 6
np.testing.assert_approx_equal(expect, got, significant=significant)
def test_product(dtype, nelem):
np.random.seed(0)
dtype = np.dtype(dtype).type
if np.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 = np.product(data)
significant = 4 if dtype == np.float32 else 6
np.testing.assert_approx_equal(expect, got, significant=significant)
