
'''simple docstring'''





from ...configuration_utils import PretrainedConfig
from ...utils import logging


A							     = logging.get_logger(__name__)

A							     = {
    "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}



class 			lowerCAmelCase__ (							UpperCamelCase							):



  '''simple docstring'''






  _UpperCamelCase							=			'yoso'

  def __init__(self	:			Dict						,			lowerCAmelCase_	:			Optional[int]=5_02_65						,			lowerCAmelCase_	:			Optional[int]=7_68						,			lowerCAmelCase_	:			int=12						,			lowerCAmelCase_	:			Optional[int]=12						,			lowerCAmelCase_	:			Optional[int]=30_72						,			lowerCAmelCase_	:			Any="gelu"						,			lowerCAmelCase_	:			Any=0.1						,			lowerCAmelCase_	:			Dict=0.1						,			lowerCAmelCase_	:			Optional[Any]=40_96						,			lowerCAmelCase_	:			Optional[int]=1						,			lowerCAmelCase_	:			List[str]=0.02						,			lowerCAmelCase_	:			Optional[Any]=1E-12						,			lowerCAmelCase_	:			Union[str, Any]="absolute"						,			lowerCAmelCase_	:			Dict=True						,			lowerCAmelCase_	:			Any=9						,			lowerCAmelCase_	:			str=64						,			lowerCAmelCase_	:			Union[str, Any]=None						,			lowerCAmelCase_	:			str=True						,			lowerCAmelCase_	:			Tuple=True						,			lowerCAmelCase_	:			Tuple=1						,			lowerCAmelCase_	:			Tuple=0						,			lowerCAmelCase_	:			Optional[Any]=2						,			**lowerCAmelCase_	:			Union[str, Any]						,			) ->							Any:
        super().__init__(pad_token_id=lowerCAmelCase_						,			bos_token_id=lowerCAmelCase_						,			eos_token_id=lowerCAmelCase_						,			**lowerCAmelCase_     )

        snake_case_    							=				vocab_size
        snake_case_    							=				max_position_embeddings
        snake_case_    							=				hidden_size
        snake_case_    							=				num_hidden_layers
        snake_case_    							=				num_attention_heads
        snake_case_    							=				intermediate_size
        snake_case_    							=				hidden_act
        snake_case_    							=				hidden_dropout_prob
        snake_case_    							=				attention_probs_dropout_prob
        snake_case_    							=				initializer_range
        snake_case_    							=				type_vocab_size
        snake_case_    							=				layer_norm_eps
        snake_case_    							=				position_embedding_type
        snake_case_    							=				use_expectation
        snake_case_    							=				hash_code_len
        snake_case_    							=				num_hash
        snake_case_    							=				conv_window
        snake_case_    							=				use_fast_hash
        snake_case_    							=				lsh_backward






import cva
import numpy as np







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  ):


						'''simple docstring'''




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







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  ):


						'''simple docstring'''




						lowerCAmelCase	:   Any					     =					image[x_coordinate][y_coordinate]
						lowerCAmelCase	:   int					     =					[1, 2, 4, 8, 1_6, 3_2, 6_4, 1_2_8]

						# skip get_neighbors_pixel if center is null
						if center is None:
												return 0

						# Starting from the top right, assigning value to pixels clockwise
						lowerCAmelCase	:   Union[str, Any]					     =					[
						    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					:				Dict   	=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					:				Dict   	=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					:				Optional[int]   	=local_binary_value(image, i, j)

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

