from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass
@dataclass
class SCREAMING_SNAKE_CASE_						:
   __lowerCAmelCase      =							42
   __lowerCAmelCase      =							42





class SCREAMING_SNAKE_CASE_						:







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





    """simple docstring"""


    UpperCamelCase          =	[[] for _ in range(lowerCamelCase__							)]
    UpperCamelCase          =	size







   def __getitem__(			self		:		int					,					lowerCamelCase_		:		int							):





    """simple docstring"""


    return iter(self._graph[vertex]							)







   @property
   def 		lowerCamelCase_     (			self		:		Union[str, Any]							):





    """simple docstring"""


    return self._size







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





    """simple docstring"""


    if weight not in (0, 1):
     raise ValueError("""Edge weight must be either 0 or 1."""							)

    if to_vertex < 0 or to_vertex >= self.size:
     raise ValueError("""Vertex indexes must be in [0; size)."""							)

    self._graph[from_vertex].append(Edge(lowerCamelCase__					,					lowerCamelCase__							)							)







   def 		lowerCamelCase_     (			self		:		Any					,					lowerCamelCase_		:		int					,					lowerCamelCase_		:		int							):





    """simple docstring"""


    UpperCamelCase          =	deque([start_vertex]							)
    UpperCamelCase          =	[None] * self.size
    UpperCamelCase          =	0

    while queue:
     UpperCamelCase          =	queue.popleft()
     UpperCamelCase          =	distances[current_vertex]
     if current_distance is None:
      continue

     for edge in self[current_vertex]:
      UpperCamelCase          =	current_distance + edge.weight
      UpperCamelCase          =	distances[edge.destination_vertex]
      if (
          isinstance(lowerCamelCase__					,					lowerCamelCase__							)
          and new_distance >= dest_vertex_distance
      ):
       continue
      UpperCamelCase          =	new_distance
      if edge.weight == 0:
       queue.appendleft(edge.destination_vertex							)
      else:
       queue.append(edge.destination_vertex							)

    if distances[finish_vertex] is None:
     raise ValueError("""No path from start_vertex to finish_vertex."""							)

    return distances[finish_vertex]


if __name__ == "__main__":
     import doctest

     doctest.testmod()

"""simple docstring"""






from PIL import Image



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							(2_5_9 * (level + 2_5_5)) / (2_5_5 * (2_5_9 - level))

				def contrast(lowerCamelCase       ) -> int:
								return int(1_2_8 + factor * (c - 1_2_8)       )

				return img.point(lowerCamelCase       )


if __name__ == "__main__":
						# Load image
						with Image.open('image_data/lena.jpg') as img:
												# Change contrast to 170
												lowerCAmelCase__  :  Any						     =	change_contrast(img, 170)
												cont_img.save('image_data/lena_high_contrast.png', format='png')



