


import json
import logging
import os
import subprocess
from argparse import ArgumentParser


lowerCAmelCase__ :			Optional[Any]         =logging.getLogger(__name__)






def 	a__ (							):
			SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				ArgumentParser()
			SCREAMING_SNAKE_CASE_		:    Optional[int] 		=				parser.parse_known_args()
			for arg in unknown:
						if arg.startswith(('-', '--')							):
									parser.add_argument(arg.split('='							)[0]							)

			return parser.parse_args()






def 	a__ (							):
			SCREAMING_SNAKE_CASE_		:    int 		=				parse_args()
			SCREAMING_SNAKE_CASE_		:    Dict 		=				8_8_8_8
			SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				int(os.environ['SM_NUM_GPUS']							)
			SCREAMING_SNAKE_CASE_		:    Optional[Any] 		=				json.loads(os.environ['SM_HOSTS']							)
			SCREAMING_SNAKE_CASE_		:    Dict 		=				len(snake_case__							)
			SCREAMING_SNAKE_CASE_		:    int 		=				os.environ['SM_CURRENT_HOST']
			SCREAMING_SNAKE_CASE_		:    List[str] 		=				hosts.index(snake_case__							)
			SCREAMING_SNAKE_CASE_		:    Optional[Any] 		=				'INFO'

			if num_nodes > 1:
						SCREAMING_SNAKE_CASE_		:    List[Any] 		=				F'''python -m torch.distributed.launch \
                --nnodes={num_nodes}  \
                --node_rank={rank}  \
                --nproc_per_node={num_gpus}  \
                --master_addr={hosts[0]}  \
                --master_port={port} \
                ./run_glue.py \
                {''.join(['nested fstring' for parameter,value in args.__dict__.items()]							)}'''
			else:
						SCREAMING_SNAKE_CASE_		:    Any 		=				F'''python -m torch.distributed.launch \
            --nproc_per_node={num_gpus}  \
            ./run_glue.py \
            {''.join(['nested fstring' for parameter,value in args.__dict__.items()]							)}'''
			try:
						subprocess.run(snake_case__,			shell=snake_case__							)
			except Exception as e:
						logger.info(snake_case__							)


if __name__ == "__main__":
			main()









import cva
import numpy as np






def 	a__ (							A__,			A__,			A__,			A__							):

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






def 	a__ (							A__,			A__,			A__							):
			SCREAMING_SNAKE_CASE_		:    Optional[int] 		=				image[x_coordinate][y_coordinate]
			SCREAMING_SNAKE_CASE_		:    str 		=				[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
			SCREAMING_SNAKE_CASE_		:    Optional[int] 		=				[
			    get_neighbors_pixel(A__,			x_coordinate - 1,			y_coordinate + 1,			A__							),
			    get_neighbors_pixel(A__,			A__,			y_coordinate + 1,			A__							),
			    get_neighbors_pixel(A__,			x_coordinate - 1,			A__,			A__							),
			    get_neighbors_pixel(A__,			x_coordinate + 1,			y_coordinate + 1,			A__							),
			    get_neighbors_pixel(A__,			x_coordinate + 1,			A__,			A__							),
			    get_neighbors_pixel(A__,			x_coordinate + 1,			y_coordinate - 1,			A__							),
			    get_neighbors_pixel(A__,			A__,			y_coordinate - 1,			A__							),
			    get_neighbors_pixel(A__,			x_coordinate - 1,			y_coordinate - 1,			A__							),
			]

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


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

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





