code: 
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  snake_case_    						=				logging.get_logger(__name__)
  
  snake_case_    						=				{
      '''tau/splinter-base''': '''https://huggingface.co/tau/splinter-base/resolve/main/config.json''',
      '''tau/splinter-base-qass''': '''https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json''',
      '''tau/splinter-large''': '''https://huggingface.co/tau/splinter-large/resolve/main/config.json''',
      '''tau/splinter-large-qass''': '''https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json''',
      # See all Splinter models at https://huggingface.co/models?filter=splinter
  }
  
  
  class    SCREAMING_SNAKE_CASE__      (__snake_case  ):
      __lowerCamelCase		: Any														=  """splinter"""
  
  
  
  
  
      def __init__(   self		,     a=3_0522		,     a=768		,     a=12		,     a=12		,     a=3072		,     a="gelu"		,     a=0.1		,     a=0.1		,     a=512		,     a=2		,     a=0.02		,     a=1e-12		,     a=True		,     a=0		,     a=104		,     **a		,     ):
           super().__init__(pad_token_id=a		,     **a)
  
           lowercase__					:     int   = vocab_size
           lowercase__					:     Union[str, Any]   = max_position_embeddings
           lowercase__					:     List[str]   = hidden_size
           lowercase__					:     int   = num_hidden_layers
           lowercase__					:     Dict   = num_attention_heads
           lowercase__					:     Tuple   = intermediate_size
           lowercase__					:     Dict   = hidden_act
           lowercase__					:     Dict   = hidden_dropout_prob
           lowercase__					:     List[Any]   = attention_probs_dropout_prob
           lowercase__					:     Optional[Any]   = initializer_range
           lowercase__					:     Dict   = type_vocab_size
           lowercase__					:     Tuple   = layer_norm_eps
           lowercase__					:     Optional[int]   = use_cache
           lowercase__					:     str   = question_token_id
  
  
style_context: 
  
  from cva import destroyAllWindows, imread, imshow, waitKey
  
  def 			snake_case__    (					SCREAMING_SNAKE_CASE_	:					int			,  SCREAMING_SNAKE_CASE_	:					int    ):
  
  
  
       '''simple docstring'''
  
  
  
  
  
       lowercase__   ,				lowercase__					:     Optional[int]   = img.shape[0], img.shape[1]
  
       def to_grayscale(SCREAMING_SNAKE_CASE_	:					Union[str, Any]			,  SCREAMING_SNAKE_CASE_	:					List[Any]			,  SCREAMING_SNAKE_CASE_	:					Union[str, Any]    ):
            return 0.2126 * red + 0.587 * green + 0.114 * blue
  
       def normalize(SCREAMING_SNAKE_CASE_	:					int    ):
            return min(SCREAMING_SNAKE_CASE_			,  255    )
  
       for i in range(SCREAMING_SNAKE_CASE_    ):
            for j in range(SCREAMING_SNAKE_CASE_    ):
                 lowercase__					:     str   = int(to_grayscale(*img[i][j]    )    )
                 lowercase__					:     Dict   = [
                     normalize(SCREAMING_SNAKE_CASE_    ),
                     normalize(greyscale + factor    ),
                     normalize(greyscale + 2 * factor    ),
                 ]
  
       return img
  
  
  if __name__ == "__main__":
         # read original image
         snake_case_    						=				{
             percentage: imread('''image_data/lena.jpg''', 1) for percentage in (10, 20, 30, 40)
         }
  
         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()
  
  