


import cva
import numpy as np






def 			__lowerCAmelCase       (SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )->    int:




      """simple docstring"""

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






def 			__lowerCAmelCase       (SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )->    int:




      """simple docstring"""

      snake_case_			= image[x_coordinate][y_coordinate]
      snake_case_			= [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
      snake_case_			= [
          get_neighbors_pixel(SCREAMING_SNAKE_CASE   ,   x_coordinate - 1   ,   y_coordinate + 1   ,   SCREAMING_SNAKE_CASE   ),
          get_neighbors_pixel(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ,   y_coordinate + 1   ,   SCREAMING_SNAKE_CASE   ),
          get_neighbors_pixel(SCREAMING_SNAKE_CASE   ,   x_coordinate - 1   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ),
          get_neighbors_pixel(SCREAMING_SNAKE_CASE   ,   x_coordinate + 1   ,   y_coordinate + 1   ,   SCREAMING_SNAKE_CASE   ),
          get_neighbors_pixel(SCREAMING_SNAKE_CASE   ,   x_coordinate + 1   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ),
          get_neighbors_pixel(SCREAMING_SNAKE_CASE   ,   x_coordinate + 1   ,   y_coordinate - 1   ,   SCREAMING_SNAKE_CASE   ),
          get_neighbors_pixel(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ,   y_coordinate - 1   ,   SCREAMING_SNAKE_CASE   ),
          get_neighbors_pixel(SCREAMING_SNAKE_CASE   ,   x_coordinate - 1   ,   y_coordinate - 1   ,   SCREAMING_SNAKE_CASE   ),
      ]

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


if __name__ == "__main__":
   # Reading the image and converting it to grayscale.
   UpperCAmelCase     =       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
   UpperCAmelCase     =       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]):
         UpperCAmelCase     =       local_binary_value(image, i, j)

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



from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available






def 			__lowerCAmelCase       (SCREAMING_SNAKE_CASE   )->    Union[str, Any]:




      """simple docstring"""

      if is_torch_available():
            import torch

            if isinstance(SCREAMING_SNAKE_CASE   ,   torch.Tensor   ):
                  return True

      return isinstance(SCREAMING_SNAKE_CASE   ,   np.ndarray   )







class lowerCAmelCase_		(					lowerCamelCase__			):

 '''simple docstring'''

 def 		UpperCamelCase__	(      self   ):
       snake_case_			= fields(self   )

       # Safety and consistency checks
       if not len(_UpperCAmelCase   ):
             raise ValueError(F'''{self.__class__.__name__} has no fields.'''   )

       snake_case_			= getattr(self						, class_fields[0].name   )
       snake_case_			= all(getattr(self						, field.name   ) is None for field in class_fields[1:]   )

       if other_fields_are_none and isinstance(_UpperCAmelCase						, _UpperCAmelCase   ):
             for key, value in first_field.items():
                   snake_case_			= value
       else:
             for field in class_fields:
                   snake_case_			= getattr(self						, field.name   )
                   if v is not None:
                         snake_case_			= v



 def __delitem__(      self						, *_UpperCAmelCase						, **_UpperCAmelCase   ):
       raise Exception(F'''You cannot use ``__delitem__`` on a {self.__class__.__name__} instance.'''   )



 def 		UpperCamelCase__	(      self						, *_UpperCAmelCase						, **_UpperCAmelCase   ):
       raise Exception(F'''You cannot use ``setdefault`` on a {self.__class__.__name__} instance.'''   )



 def 		UpperCamelCase__	(      self						, *_UpperCAmelCase						, **_UpperCAmelCase   ):
       raise Exception(F'''You cannot use ``pop`` on a {self.__class__.__name__} instance.'''   )



 def 		UpperCamelCase__	(      self						, *_UpperCAmelCase						, **_UpperCAmelCase   ):
       raise Exception(F'''You cannot use ``update`` on a {self.__class__.__name__} instance.'''   )



 def __getitem__(      self						, _UpperCAmelCase   ):
       if isinstance(_UpperCAmelCase						, _UpperCAmelCase   ):
             snake_case_			= dict(self.items()   )
             return inner_dict[k]
       else:
             return self.to_tuple()[k]



 def __setattr__(      self						, _UpperCAmelCase						, _UpperCAmelCase   ):
       if name in self.keys() and value is not None:
             # Don't call self.__setitem__ to avoid recursion errors
             super().__setitem__(_UpperCAmelCase						, _UpperCAmelCase   )
       super().__setattr__(_UpperCAmelCase						, _UpperCAmelCase   )



 def __setitem__(      self						, _UpperCAmelCase						, _UpperCAmelCase   ):
       # Will raise a KeyException if needed
       super().__setitem__(_UpperCAmelCase						, _UpperCAmelCase   )
       # Don't call self.__setattr__ to avoid recursion errors
       super().__setattr__(_UpperCAmelCase						, _UpperCAmelCase   )





 def 		UpperCamelCase__	(      self   ):
       return tuple(self[k] for k in self.keys()   )