



"""simple docstring"""


import cva
import numpy as np

def 					_lowerCAmelCase (  lowercase_						,      lowercase_						,      lowercase_						,      lowercase_		):

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

def 					_lowerCAmelCase (  lowercase_						,      lowercase_						,      lowercase_		):
						UpperCAmelCase			 =					image[x_coordinate][y_coordinate]
						UpperCAmelCase			 =					[1, 2, 4, 8, 16, 32, 64, 128]

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

						# Starting from the top right, assigning value to pixels clockwise
						UpperCAmelCase			 =					[
						    get_neighbors_pixel(lowercase_						,      x_coordinate - 1						,      y_coordinate + 1						,      lowercase_		),
						    get_neighbors_pixel(lowercase_						,      lowercase_						,      y_coordinate + 1						,      lowercase_		),
						    get_neighbors_pixel(lowercase_						,      x_coordinate - 1						,      lowercase_						,      lowercase_		),
						    get_neighbors_pixel(lowercase_						,      x_coordinate + 1						,      y_coordinate + 1						,      lowercase_		),
						    get_neighbors_pixel(lowercase_						,      x_coordinate + 1						,      lowercase_						,      lowercase_		),
						    get_neighbors_pixel(lowercase_						,      x_coordinate + 1						,      y_coordinate - 1						,      lowercase_		),
						    get_neighbors_pixel(lowercase_						,      lowercase_						,      y_coordinate - 1						,      lowercase_		),
						    get_neighbors_pixel(lowercase_						,      x_coordinate - 1						,      y_coordinate - 1						,      lowercase_		),
						]

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


if __name__ == "__main__":
				# Reading the image and converting it to grayscale.
				snake_case_								=			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
				snake_case_								=			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]):
												snake_case_								=			local_binary_value(image, i, j)

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










"""simple docstring"""


import shutil

import requests

def 					_lowerCAmelCase (  lowercase_						,      lowercase_ = False						,      lowercase_ = "."		):
						UpperCAmelCase			 =					'https://api.nasa.gov/planetary/apod'
						return requests.get(lowercase_						,      params={'api_key': api_key}		).json()

def 					_lowerCAmelCase (  lowercase_						,      lowercase_ = "."		):
						UpperCAmelCase			 =					get_apod_data(lowercase_		)
						UpperCAmelCase			 =					apod_data['url']
						UpperCAmelCase			 =					img_url.split('/'		)[-1]
						UpperCAmelCase			 =					requests.get(lowercase_						,      stream=lowercase_		)

						with open(F"""{path}/{img_name}"""						,      'wb+'		) as img_file:
												shutil.copyfileobj(response.raw						,      lowercase_		)
						del response
						return apod_data

def 					_lowerCAmelCase (  lowercase_		):
						UpperCAmelCase			 =					'https://images-api.nasa.gov/search'
						return requests.get(lowercase_						,      params={'q': query}		).json()


if __name__ == "__main__":
				print(save_apod("""YOUR API KEY"""))
				snake_case_								=			get_archive_data("""apollo 2011""")["""collection"""]["""items"""]
				print(apollo_aaaa_items[0]["""data"""][0]["""description"""])





