"""simple docstring"""







import cva
import numpy as np




def 						_lowercase				(  _SCREAMING_SNAKE_CASE				:				Optional[int]  ,       _SCREAMING_SNAKE_CASE				:				str  ,       _SCREAMING_SNAKE_CASE				:				int  ,       _SCREAMING_SNAKE_CASE				:				Optional[Any]						)    ->     List[Any]:







     '''simple docstring'''


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




def 						_lowercase				(  _SCREAMING_SNAKE_CASE				:				List[Any]  ,       _SCREAMING_SNAKE_CASE				:				Union[str, Any]  ,       _SCREAMING_SNAKE_CASE				:				Optional[Any]						)    ->     Dict:







     '''simple docstring'''


     __A					:					int								=		image[x_coordinate][y_coordinate]
     __A					:					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
     __A					:					Tuple								=		[
         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.
       lowerCamelCase      : Optional[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
       lowerCamelCase      : List[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]):
                     lowerCamelCase      : str       =local_binary_value(image, i, j)

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









"""simple docstring"""





import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment

class    __lowercase							(      unittest.TestCase						):


				'''simple docstring'''


				def    _lowerCamelCase       ( self :  Any   ):
										snake_case__							:       Dict				      =       inspect.getfile(accelerate.test_utils   )
										snake_case__							:       Tuple				      =       os.path.sep.join(mod_file.split(os.path.sep   )[:-1] + ['''scripts''', '''test_sync.py''']   )

				@require_cpu
				def    _lowerCamelCase       ( self :  Optional[Any]   ):
										debug_launcher(test_sync.main   ,num_processes=1   )

				@require_cpu
				def    _lowerCamelCase       ( self :  List[str]   ):
										debug_launcher(test_sync.main   )

				@require_single_gpu
				def    _lowerCamelCase       ( self :  Union[str, Any]   ):
										test_sync.main()





				@require_multi_gpu
				def    _lowerCamelCase       ( self :  List[str]   ):
										print(F'''Found {torch.cuda.device_count()} devices.'''   )
										snake_case__							:       Dict				      =       ['''torchrun''', F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
										with patch_environment(omp_num_threads=1   ):
																execute_subprocess_async(SCREAMING_SNAKE_CASE_   ,env=os.environ.copy()   )


