
class 				lowercase		(					SCREAMING_SNAKE_CASE__		):
							pass







class 				lowercase		(					SCREAMING_SNAKE_CASE__		):
							pass







class 				lowercase		:




							def __init__(				self):
												lowercase							=						[
												    [],
												    [],
												    [],
												]




							def  A__      (				self   ,A__   ,A__):
												try:
																	if len(self.queues[priority]) >= 1_0_0:
																						raise OverflowError('''Maximum queue size is 100''')
																	self.queues[priority].append(A__)
												except IndexError:
																	raise ValueError('''Valid priorities are 0, 1, and 2''')




							def  A__      (				self):
												for queue in self.queues:
																	if queue:
																						return queue.pop(0)
												raise UnderFlowError('''All queues are empty''')





							def __str__(				self):
												return "\n".join(f'Priority {i}: {q}' for i, q in enumerate(self.queues))







class 				lowercase		:




							def __init__(				self):
												lowercase							=						[]




							def  A__      (				self   ,A__):
												if len(self.queue) == 1_0_0:
																	raise OverFlowError('''Maximum queue size is 100''')
												self.queue.append(A__)




							def  A__      (				self):
												if not self.queue:
																	raise UnderFlowError('''The queue is empty''')
												else:
																	lowercase							=						min(self.queue)
																	self.queue.remove(A__)
																	return data





							def __str__(				self):
												return str(self.queue)



def        UpperCamelCase    (							):
					'''simple docstring'''
					lowercase							=						FixedPriorityQueue()
					fpq.enqueue(0 ,			10		)
					fpq.enqueue(1 ,			70		)
					fpq.enqueue(0 ,			100		)
					fpq.enqueue(2 ,			1		)
					fpq.enqueue(2 ,			5		)
					fpq.enqueue(1 ,			7		)
					fpq.enqueue(2 ,			4		)
					fpq.enqueue(1 ,			64		)
					fpq.enqueue(0 ,			128		)
					print(lowerCAmelCase__		)
					print(fpq.dequeue()		)
					print(fpq.dequeue()		)
					print(fpq.dequeue()		)
					print(fpq.dequeue()		)
					print(fpq.dequeue()		)
					print(lowerCAmelCase__		)
					print(fpq.dequeue()		)
					print(fpq.dequeue()		)
					print(fpq.dequeue()		)
					print(fpq.dequeue()		)
					print(fpq.dequeue()		)



def        UpperCamelCase    (							):
					'''simple docstring'''
					lowercase							=						ElementPriorityQueue()
					epq.enqueue(10		)
					epq.enqueue(70		)
					epq.enqueue(100		)
					epq.enqueue(1		)
					epq.enqueue(5		)
					epq.enqueue(7		)
					epq.enqueue(4		)
					epq.enqueue(64		)
					epq.enqueue(128		)
					print(lowerCAmelCase__		)
					print(epq.dequeue()		)
					print(epq.dequeue()		)
					print(epq.dequeue()		)
					print(epq.dequeue()		)
					print(epq.dequeue()		)
					print(lowerCAmelCase__		)
					print(epq.dequeue()		)
					print(epq.dequeue()		)
					print(epq.dequeue()		)
					print(epq.dequeue()		)
					print(epq.dequeue()		)


if __name__ == "__main__":
							fixed_priority_queue()
							element_priority_queue()











'''simple docstring'''




from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros






def        _lowerCAmelCase			(  __snake_case  : Optional[Any] ,							__snake_case  : Optional[int]			)     ->     List[str]:
     __A						: List[str]      =       k_size // 2
     __A ,__A						: List[Any]      =       mgrid[0 - center : k_size - center, 0 - center : k_size - center]
     __A						: List[Any]      =       1 / (2 * pi * sigma) * exp(-(square(__snake_case			) + square(__snake_case			)) / (2 * square(__snake_case			))			)
     return g






def        _lowerCAmelCase			(  __snake_case  : List[str] ,							__snake_case  : List[str] ,							__snake_case  : int			)     ->     Union[str, Any]:
     __A ,__A						: Tuple      =       image.shape[0], image.shape[1]
     # dst image height and width
     __A						: Tuple      =       height - k_size + 1
     __A						: Optional[Any]      =       width - k_size + 1

     # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
     __A						: str      =       zeros((dst_height * dst_width, k_size * k_size)			)
     __A						: Optional[Any]      =       0
     for i, j in product(range(__snake_case			) ,							range(__snake_case			)			):
          __A						: int      =       ravel(image[i : i + k_size, j : j + k_size]			)
          __A						: List[str]      =       window
          row += 1

     #  turn the kernel into shape(k*k, 1)
     __A						: List[Any]      =       gen_gaussian_kernel(__snake_case ,							__snake_case			)
     __A						: Any      =       ravel(__snake_case			)

     # reshape and get the dst image
     __A						: Dict      =       dot(__snake_case ,							__snake_case			).reshape(__snake_case ,							__snake_case			).astype(__snake_case			)

     return dst


if __name__ == "__main__":
  # read original image
  lowercase__    :      List[Any]						=    imread(r'''../image_data/lena.jpg''')
  # turn image in gray scale value
  lowercase__    :      Dict						=    cvtColor(img, COLOR_BGR2GRAY)

  # get values with two different mask size
  lowercase__    :      Any						=    gaussian_filter(gray, 3, sigma=1)
  lowercase__    :      str						=    gaussian_filter(gray, 5, sigma=0.8)

  # show result images
  imshow('''gaussian filter with 3x3 mask''', gaussianaxa)
  imshow('''gaussian filter with 5x5 mask''', gaussianaxa)
  waitKey()