
import cva
import numpy as np


def 		UpperCAmelCase    (			a_	,     a_	,     a_	,     a_		)	->			int:







				"""simple docstring"""



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


def 		UpperCAmelCase    (			a_	,     a_	,     a_		)	->			int:







				"""simple docstring"""



				__A         =				image[x_coordinate][y_coordinate]
				__A         =				[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
				__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	,     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.
					SCREAMING_SNAKE_CASE							: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
					SCREAMING_SNAKE_CASE							:Optional[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]):
															SCREAMING_SNAKE_CASE							:Tuple											=       local_binary_value(image, i, j)

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


from datetime import date

import requests

SCREAMING_SNAKE_CASE							:str											=       'https://api.carbonintensity.org.uk/intensity'


def 		UpperCAmelCase    (			)	->			str:







				"""simple docstring"""



				__A         =				requests.get(a_		).json()["data"][0]
				return last_half_hour["intensity"]["actual"]


def 		UpperCAmelCase    (			a_	,     a_		)	->			list:







				"""simple docstring"""



				return requests.get(F'''{BASE_URL}/{start}/{end}'''		).json()["data"]


if __name__ == "__main__":
					for entry in fetch_from_to(start=date(2020, 10, 1), end=date(2020, 10, 3)):
										print('from {from} to {to}: {intensity[actual]}'.format(**entry))
					print(f'''{fetch_last_half_hour() = }''')
