x = np.vstack([np.arange(5.0)**2] * 2)
for width in [-1, 0, 1, 2, 3, 4]:
for order in [0, 1]:
for axis in range(x.ndim):
tf = __test
After Change
x = np.vstack([np.arange(100.0)] * 3)
for width in range(-1, 8):
for slope in np.linspace(-2, 2, num=6):
for bias in [-10, 0, 10]:
for order in [0, 1]:
for axis in range(x.ndim):