'''simple docstring'''




import cva
import numpy as np

def 			UpperCamelCase_							(      _UpperCAmelCase						:   np.ndarray    ,			_UpperCAmelCase						:   int    ,			_UpperCAmelCase						:   int    ,			_UpperCAmelCase						:   int					)					->					int:


       """simple docstring"""







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

def 			UpperCamelCase_							(      _UpperCAmelCase						:   np.ndarray    ,			_UpperCAmelCase						:   int    ,			_UpperCAmelCase						:   int					)					->					int:


       """simple docstring"""







       _UpperCAmelCase  :						str							   =					image[x_coordinate][y_coordinate]
       _UpperCAmelCase  :						Optional[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  :						Any							   =					[
           get_neighbors_pixel(_UpperCAmelCase    ,			x_coordinate - 1    ,			y_coordinate + 1    ,			_UpperCAmelCase					),
           get_neighbors_pixel(_UpperCAmelCase    ,			_UpperCAmelCase    ,			y_coordinate + 1    ,			_UpperCAmelCase					),
           get_neighbors_pixel(_UpperCAmelCase    ,			x_coordinate - 1    ,			_UpperCAmelCase    ,			_UpperCAmelCase					),
           get_neighbors_pixel(_UpperCAmelCase    ,			x_coordinate + 1    ,			y_coordinate + 1    ,			_UpperCAmelCase					),
           get_neighbors_pixel(_UpperCAmelCase    ,			x_coordinate + 1    ,			_UpperCAmelCase    ,			_UpperCAmelCase					),
           get_neighbors_pixel(_UpperCAmelCase    ,			x_coordinate + 1    ,			y_coordinate - 1    ,			_UpperCAmelCase					),
           get_neighbors_pixel(_UpperCAmelCase    ,			_UpperCAmelCase    ,			y_coordinate - 1    ,			_UpperCAmelCase					),
           get_neighbors_pixel(_UpperCAmelCase    ,			x_coordinate - 1    ,			y_coordinate - 1    ,			_UpperCAmelCase					),
       ]

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


if __name__ == "__main__":
  # Reading the image and converting it to grayscale.
  __SCREAMING_SNAKE_CASE :  List[Any]  =						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
  __SCREAMING_SNAKE_CASE :  Any  =						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]):
      __SCREAMING_SNAKE_CASE :  str  =						local_binary_value(image, i, j)

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


'''simple docstring'''




import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand

def 			UpperCamelCase_							(      _UpperCAmelCase						:   List[str]					)					->					Union[str, Any]:


       """simple docstring"""







       return EnvironmentCommand()


class 			lowerCamelCase_			(snake_case__					):
      '''simple docstring'''

      @staticmethod
      def   _A			( A		:       ArgumentParser ):
             _UpperCAmelCase  :						List[str]							   =					parser.add_parser("env"		,      help="Print relevant system environment info." )
             download_parser.set_defaults(func=A )




      def   _A			( self		:       List[str] ):
             _UpperCAmelCase  :						str							   =					{
                 "`datasets` version": version,
                 "Platform": platform.platform(),
                 "Python version": platform.python_version(),
                 "Huggingface_hub version": huggingface_hub.__version__,
                 "PyArrow version": pyarrow.__version__,
                 "Pandas version": pandas.__version__,
             }

             print("\nCopy-and-paste the text below in your GitHub issue.\n" )
             print(self.format_dict(A ) )

             return info





      @staticmethod
      def   _A			( A		:       Tuple ):
             return "\n".join([F"""- {prop}: {val}""" for prop, val in d.items()] ) + "\n"

