Local Binary Pattern rotation

Question

How does LBP work? To learn that, I decided to calculate by hand for the matrix but the problem is about the rotation pixel over the image based on the radius and neighbor of LBP. I do it clockwise and top most left then top most right, but the result is still different from the result in "skimage" lib.

With the example like this:

             [[5, 4, 2, 2, 1],
              [3, 5, 8, 1, 3],
              [2, 5, 4, 1, 2],
              [4, 3, 7, 2, 7],
              [1, 4, 4, 2, 6]]

and with rad=2, n=8, method='ror' :

I try make it by hand with p(2,2) = 4 is:

             [[ 5    2    1 ]
              [ 2    4    2 ]
              [ 3    4    2 ]] 

so it may be is: 12243252 -> 00010010?

Otherwise, The result is in skimage:

              [[  1.   3.   7.   3.   7.]
              [  7.   0.   0.  31.   5.]
              [ 15.   0.   9. 127.  15.]
              [  3.   3.   5.  23.   1.]
              [  7.   3.   5.  13.   0.]]

and code is:

from skimage import feature
import cv2
import numpy as np
import matplotlib.pyplot as plt

image = np.array([[5, 4, 2, 2, 1],
                  [3, 5, 8, 1, 3],
                  [2, 5, 4, 1, 2],
                  [4, 3, 7, 2, 7],
                  [1, 4, 4, 2, 6]])

radius = 2
neighbors = 8
lbp_result = feature.local_binary_pattern(image, neighbors, radius, 'ror')


plt.subplot(1, 2, 1)
plt.imshow(image, cmap='gray')
plt.title('Original Image')

plt.subplot(1, 2, 2)
plt.imshow(lbp_result, cmap='gray')
plt.title('LBP Image (r=2, 8 directions)')


print(image)
print()
print(lbp_result)
plt.show()

Can anyone help me with this, please? And by the way, how to rotate if the r > 2 and neighbor > 8?Thank you so much for helping me.