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