def ex_gcd(a, b=0b100011011): # 采用书上的递归方法
if b == 0:
return a, 1, 0
else:
gcd, x_temp, y_temp = ex_gcd(b, compute.mod(a, b))
x = y_temp
y = x_temp ^ compute.mul(y_temp, compute.divide(a, b))
return [gcd, x, y]
def test_divide_zero():
assert np.isinf(divide(1, 0))
def test_divide(a, b, x):
res = divide(a, b)
assert res == pytest.approx(x)
def test_divide():
x = divide(1, 2)
assert x == 0.5
def test_divide():
x = divide(1, 2)
assert x == pytest.approx(0.5)
def test_divide_array():
a = np.array([1, 1, 1])
b = np.array([2, 2, 2])
x = divide(a, b)
assert_allclose(x, np.array([0.5, 0.5, 0.5]))
def test_divide():
x = divide(1,2)
print(x)
assert x == 0.5
def test_divide_array(a, b, x):
assert_allclose(divide(a, b), x, rtol=1e-4)
def test_multiply():
x = divide(2, 2)
assert x == 4
def test_divide_zero():
x = divide(2, 0)
assert np.isinf(x)
def test_divide(a, b, x, dtype):
res = divide(a, b)
assert res == pytest.approx(x)
assert np.dtype(type(res)) == dtype
def test_divide :
res=divide(1,2)
assert res==pytest.approx(x)
def test_divide(lop, rop, res):
x = divide(lop, rop)
assert x == pytest.approx(res)
def test_divide(a, b, x):
res = divide(a, b)
print(x)
assert res == pytest.approx(
x) #better, because can occur some imprecisions due to type
