
"""simple docstring"""


from __future__ import annotations

class 					A_			:



							"""simple docstring"""






							def __init__(						self						:Optional[Any]  ,							lowerCamelCase_						:int ):





										"""simple docstring"""

										lowerCamelCase__			:  List[Any]  =data
										lowerCamelCase__			:  Optional[int]  =None






class 					A_			:



							"""simple docstring"""






							def __init__(						self						:Optional[Any] ):





										"""simple docstring"""

										lowerCamelCase__			:  Dict  =None





							def    UpperCAmelCase__							(						self						:Dict  ,							lowerCamelCase_						:int ):





										"""simple docstring"""

										lowerCamelCase__			:  Optional[int]  =Node(lowerCamelCase_ )
										lowerCamelCase__			:  Optional[Any]  =self.head
										lowerCamelCase__			:  Any  =new_node
										return self.head.data





							def    UpperCAmelCase__							(						self						:List[Any] ):





										"""simple docstring"""

										lowerCamelCase__			:  List[Any]  =self.head
										lowerCamelCase__			:  List[str]  =self.head
										if self.head:
													while fast_pointer and fast_pointer.next:
																lowerCamelCase__			:  Any  =fast_pointer.next.next
																lowerCamelCase__			:  Optional[Any]  =slow_pointer.next
													return slow_pointer.data
										else:
													print('No element found.' )
													return None


if __name__ == "__main__":
							lowerCAmelCase			=		LinkedList()
							for _ in range(int(input().strip())):
														lowerCAmelCase			=		int(input().strip())
														link.push(data)
							print(link.middle_element())

"""simple docstring"""


import cva
import numpy as np






def      lowerCAmelCase_     (	snake_case_	:    np.ndarray							,					snake_case_	:    int							,					snake_case_	:    int							,					snake_case_	:    int    )     ->int:

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






def      lowerCAmelCase_     (	snake_case_	:    np.ndarray							,					snake_case_	:    int							,					snake_case_	:    int    )     ->int:
			lowerCamelCase__			:  Optional[int]  =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__			:  int  =[
			    get_neighbors_pixel(snake_case_							,					x_coordinate - 1							,					y_coordinate + 1							,					snake_case_    ),
			    get_neighbors_pixel(snake_case_							,					snake_case_							,					y_coordinate + 1							,					snake_case_    ),
			    get_neighbors_pixel(snake_case_							,					x_coordinate - 1							,					snake_case_							,					snake_case_    ),
			    get_neighbors_pixel(snake_case_							,					x_coordinate + 1							,					y_coordinate + 1							,					snake_case_    ),
			    get_neighbors_pixel(snake_case_							,					x_coordinate + 1							,					snake_case_							,					snake_case_    ),
			    get_neighbors_pixel(snake_case_							,					x_coordinate + 1							,					y_coordinate - 1							,					snake_case_    ),
			    get_neighbors_pixel(snake_case_							,					snake_case_							,					y_coordinate - 1							,					snake_case_    ),
			    get_neighbors_pixel(snake_case_							,					x_coordinate - 1							,					y_coordinate - 1							,					snake_case_    ),
			]

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


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

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