





import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey
class 			UpperCamelCase_		:




     def __init__(		self				,						lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_  )		->							List[str]:
          if dst_width < 0 or dst_height < 0:
               raise ValueError('Destination width/height should be > 0'  )

          _snake_case									=				img
          _snake_case									=				img.shape[1]
          _snake_case									=				img.shape[0]
          _snake_case									=				dst_width
          _snake_case									=				dst_height

          _snake_case									=				self.src_w / self.dst_w
          _snake_case									=				self.src_h / self.dst_h

          _snake_case									=				_snake_case									=				(
              np.ones((self.dst_h, self.dst_w, 3)				,						np.uinta  ) * 255
          )




     def 	lowerCAmelCase			(		self  )		->							Union[str, Any]:
          for i in range(self.dst_h  ):
               for j in range(self.dst_w  ):
                    _snake_case									=				self.img[self.get_y(lowerCAmelCase_  )][self.get_x(lowerCAmelCase_  )]




     def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							int:
          return int(self.ratio_x * x  )






     def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							int:
          return int(self.ratio_y * y  )


if __name__ == "__main__":
     UpperCAmelCase_							,      UpperCAmelCase_      							=     800, 600
     UpperCAmelCase_      							=     imread("""image_data/lena.jpg""", 1)
     UpperCAmelCase_      							=     NearestNeighbour(im, dst_w, dst_h)
     n.process()

     imshow(
         F"Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}", n.output
     )
     waitKey(0)
     destroyAllWindows()










import random





def 						lowerCamelCase__     (     UpperCamelCase__			:       list       ,    UpperCamelCase__			:       List[Any]						)			-> tuple:



					'''simple docstring'''




					_snake_case							,     _snake_case							,     _snake_case									=				[], [], []
					for element in data:
										if element < pivot:
															less.append(UpperCamelCase__						)
										elif element > pivot:
															greater.append(UpperCamelCase__						)
										else:
															equal.append(UpperCamelCase__						)
					return less, equal, greater





def 						lowerCamelCase__     (     UpperCamelCase__			:       list       ,    UpperCamelCase__			:       int						)			-> Dict:



					'''simple docstring'''




					if index >= len(UpperCamelCase__						) or index < 0:
										return None

					_snake_case									=				items[random.randint(0       ,    len(UpperCamelCase__						) - 1						)]
					_snake_case									=				0
					_snake_case							,     _snake_case							,     _snake_case									=				_partition(UpperCamelCase__       ,    UpperCamelCase__						)
					_snake_case									=				len(UpperCamelCase__						)
					_snake_case									=				len(UpperCamelCase__						)

					# index is the pivot
					if m <= index < m + count:
										return pivot
					# must be in smaller
					elif m > index:
										return quick_select(UpperCamelCase__       ,    UpperCamelCase__						)
					# must be in larger
					else:
										return quick_select(UpperCamelCase__       ,    index - (m + count)						)



