
"""simple docstring"""





from __future__ import annotations

from collections.abc import Iterator
from typing import Any


class A_      :




  '''simple docstring'''







  def __init__(						self							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   Any     	=       data
     UpperCAmelCase_   :   Node | None     	=       None







  def __str__(						self    ):

     """simple docstring"""
     return F"""{self.data}"""




class A_      :




  '''simple docstring'''







  def __init__(						self    ):

     """simple docstring"""
     UpperCAmelCase_   :   Node | None     	=       None
     UpperCAmelCase_   :   Node | None     	=       None







  def __iter__(						self    ):

     """simple docstring"""
     UpperCAmelCase_   :   List[str]     	=       self.front
     while node:
        yield node.data
        UpperCAmelCase_   :   int     	=       node.next







  def __len__(						self    ):

     """simple docstring"""
     return len(tuple(iter(self    )    )    )







  def __str__(						self    ):

     """simple docstring"""
     return " <- ".join(str(lowercase_    ) for item in self    )







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     return len(self    ) == 0







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   List[str]     	=       Node(lowercase_    )
     if self.is_empty():
        UpperCAmelCase_   :   Any     	=       node
     else:
        assert isinstance(self.rear							,  lowercase_    )
        UpperCAmelCase_   :   Union[str, Any]     	=       node
        UpperCAmelCase_   :   str     	=       node







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     if self.is_empty():
        raise IndexError("dequeue from empty queue"    )
     assert isinstance(self.front							,  lowercase_    )
     UpperCAmelCase_   :   int     	=       self.front
     UpperCAmelCase_   :   str     	=       self.front.next
     if self.front is None:
        UpperCAmelCase_   :   List[str]     	=       None
     return node.data







  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""
     UpperCAmelCase_   :   Any     	=       None


if __name__ == "__main__":
    from doctest import testmod

    testmod()




"""simple docstring"""





import cva
import numpy as np







def       __a	(						__lowerCamelCase,						__lowerCamelCase,						__lowerCamelCase,						__lowerCamelCase    ):

   try:
      return int(image[x_coordinate][y_coordinate] >= center    )
   except (IndexError, TypeError):
      return 0







def       __a	(						__lowerCamelCase,						__lowerCamelCase,						__lowerCamelCase    ):
   UpperCAmelCase_   :   Optional[int]     	=       image[x_coordinate][y_coordinate]
   UpperCAmelCase_   :   int     	=       [1, 2, 4, 8, 16, 32, 64, 128]

   # skip get_neighbors_pixel if center is null
   if center is None:
      return 0

   # Starting from the top right, assigning value to pixels clockwise
   UpperCAmelCase_   :   List[Any]     	=       [
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate - 1,						y_coordinate + 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						__lowerCamelCase,						y_coordinate + 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate - 1,						__lowerCamelCase,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate + 1,						y_coordinate + 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate + 1,						__lowerCamelCase,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate + 1,						y_coordinate - 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						__lowerCamelCase,						y_coordinate - 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate - 1,						y_coordinate - 1,						__lowerCamelCase    ),
   ]

   # Converting the binary value to decimal.
   return sum(
       binary_value * power for binary_value, power in zip(__lowerCamelCase,						__lowerCamelCase    )    )


if __name__ == "__main__":
    # Reading the image and converting it to grayscale.
    _a									=				cva.imread(
        'digital_image_processing/image_data/lena.jpg', cva.IMREAD_GRAYSCALE
    )

    # Create a numpy array as the same height and width of read image
    _a									=				np.zeros((image.shape[0], image.shape[1]))

    # Iterating through the image and calculating the
    # local binary pattern value for each pixel.
    for i in range(0, image.shape[0]):
        for j in range(0, image.shape[1]):
            _a									=				local_binary_value(image, i, j)

    cva.imshow('local binary pattern', lbp_image)
    cva.waitKey(0)
    cva.destroyAllWindows()


