def test(): anp = np.random.randn(4, 5) b = np.random.randint(13) a = lg.array(anp) np.add(anp, b, out=anp) lg.add(a, b, out=a) assert np.array_equal(a, anp) return
def test(): anp = np.random.randn(4, 5) b = random.randint(1, 13) a = lg.array(anp) # test with scalar on the rhs assert np.array_equal(lg.add(a, b), np.add(anp, b)) # test with scalar on the lhs assert np.array_equal(lg.add(b, a), np.add(b, anp)) return
def test(): sr = pd.Series([1, 2, 3]) array = np.asarray(sr) x = np.array([1, 2, 3]) assert np.array_equal(array, x) y = np.array([4, 5, 6]) z = np.add(sr, y) assert np.array_equal(z, x + y) df = pd.DataFrame({"x": x, "y": y}) z = np.add(df["x"], df["y"]) assert np.array_equal(z, x + y) return
def test(): anp = np.random.randn(4, 5) bnp = np.random.randn(4, 5) a = lg.array(anp) b = lg.array(bnp) assert np.array_equal(lg.add(a, b), np.add(anp, bnp)) return
def test(): a = random.randint(1, 13) b = random.randint(1, 13) assert np.array_equal(lg.add(a, b), np.add(a, b)) return