code: 
  
  
  """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    __A       ( unittest.TestCase    ):
  
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  	def    SCREAMING_SNAKE_CASE							(	self		)      ->  str:
  					a					=inspect.getfile(accelerate.test_utils		)
  					a					=os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ['''scripts''', '''test_sync.py''']		)
  
  
  	@require_cpu
  	def    SCREAMING_SNAKE_CASE							(	self		)      ->  Tuple:
  					debug_launcher(test_sync.main				,					num_processes=1		)
  
  
  	@require_cpu
  	def    SCREAMING_SNAKE_CASE							(	self		)      ->  Union[str, Any]:
  					debug_launcher(test_sync.main		)
  
  
  	@require_single_gpu
  	def    SCREAMING_SNAKE_CASE							(	self		)      ->  int:
  					test_sync.main()
  
  
  
  
  
  	@require_multi_gpu
  	def    SCREAMING_SNAKE_CASE							(	self		)      ->  Tuple:
  					print(f'''Found {torch.cuda.device_count()} devices.'''		)
  					a					=['''torchrun''', f'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
  					with patch_environment(omp_num_threads=1		):
  									execute_subprocess_async(_snake_case				,					env=os.environ.copy()		)
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from cva import destroyAllWindows, imread, imshow, waitKey
  def _A		(		lowercase ,					lowercase	):
  
  
  
  
  
  
  
      """simple docstring"""
      a	,   a					=img.shape[0], img.shape[1]
  
      def to_grayscale(lowercase ,					lowercase ,					lowercase	):
          return 0.2126 * red + 0.587 * green + 0.114 * blue
  
      def normalize(lowercase	):
          return min(lowercase ,					2_55	)
  
      for i in range(lowercase	):
          for j in range(lowercase	):
              a					=int(to_grayscale(*img[i][j]	)	)
              a					=[
                  normalize(lowercase	),
                  normalize(greyscale + factor	),
                  normalize(greyscale + 2 * factor	),
              ]
  
      return img
  
  
  if __name__ == "__main__":
         # read original image
         lowerCamelCase_     :     Any    		=						{
             percentage: imread("""image_data/lena.jpg""", 1) for percentage in (1_0, 2_0, 3_0, 4_0)
         }
  
         for percentage, img in images.items():
                make_sepia(img, percentage)
  
         for percentage, img in images.items():
                imshow(F'Original image with sepia (factor: {percentage})', img)
  
         waitKey(0)
         destroyAllWindows()