


'''simple docstring'''

import cva
import numpy as np



def        SCREAMING_SNAKE_CASE__(		_UpperCamelCase      :				Any    ,		_UpperCamelCase      :				Union[str, Any]    ,		_UpperCamelCase      :				List[str]    ,		_UpperCamelCase      :				int   )		->					int:





   '''simple docstring'''







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



def        SCREAMING_SNAKE_CASE__(		_UpperCamelCase      :				Union[str, Any]    ,		_UpperCamelCase      :				List[str]    ,		_UpperCamelCase      :				Dict   )		->					int:





   '''simple docstring'''







   UpperCamelCase__ 						=						image[x_coordinate][y_coordinate]
   UpperCamelCase__ 						=						[1, 2, 4, 8, 16, 32, 64, 1_28]

   # 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__ 						=						[
       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.
   __lowercase:		str							=     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
   __lowercase:		Dict							=     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]):
         __lowercase:		Dict							=     local_binary_value(image, i, j)

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



'''simple docstring'''

from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

__lowercase:		Optional[Any]							=     TypeVar("T", bound=bool)







class  UpperCAmelCase (       Generic[T]):

 def __init__( self :	int,					a_ :	T					):





    """simple docstring"""



    UpperCamelCase__ 						=						value
    UpperCamelCase__ 						=						None
    UpperCamelCase__ 						=						None

 @property
 def 		lowercase_						( self :	Dict					):





    """simple docstring"""



    return self._value

 @staticmethod
 def 		lowercase_						( a_ :	RandomizedHeapNode[T] | None,					a_ :	RandomizedHeapNode[T] | None					):





    """simple docstring"""



    if not roota:
       return roota

    if not roota:
       return roota

    if roota.value > roota.value:
       UpperCamelCase__						,		UpperCamelCase__ 						=						roota, roota

    if random.choice([True, False]					):
       UpperCamelCase__						,		UpperCamelCase__ 						=						roota.right, roota.left

    UpperCamelCase__ 						=						RandomizedHeapNode.merge(roota.left,					a_					)

    return roota







class  UpperCAmelCase (       Generic[T]):

 def __init__( self :	List[Any],					a_ :	Iterable[T] | None = ()					):





    """simple docstring"""



    UpperCamelCase__ 						=						None

    if data:
       for item in data:
          self.insert(a_					)

 def 		lowercase_						( self :	Any,					a_ :	T					):





    """simple docstring"""



    UpperCamelCase__ 						=						RandomizedHeapNode.merge(self._root,					RandomizedHeapNode(a_					)					)

 def 		lowercase_						( self :	Any					):





    """simple docstring"""



    UpperCamelCase__ 						=						self.top()

    if self._root is None:
       return None

    UpperCamelCase__ 						=						RandomizedHeapNode.merge(self._root.left,					self._root.right					)

    return result

 def 		lowercase_						( self :	Union[str, Any]					):





    """simple docstring"""



    if not self._root:
       raise IndexError("Can't get top element for the empty heap."					)
    return self._root.value

 def 		lowercase_						( self :	Tuple					):





    """simple docstring"""



    UpperCamelCase__ 						=						None

 def 		lowercase_						( self :	int					):





    """simple docstring"""



    UpperCamelCase__ 						=						[]
    while self:
       result.append(self.pop()					)

    return result

 def __bool__( self :	List[Any]					):





    """simple docstring"""



    return self._root is not None


if __name__ == "__main__":
       import doctest

       doctest.testmod()