





# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE__       :			List[str]			      =						TypeVar("""T""")







class   __lowerCAmelCase			(					Generic[T]  ):





   def __init__( self					,			snake_case = True      )				->  None:
      """simple docstring"""





      a__	:						dict[T, list[T]]      		=  {}  # dictionary of lists
      a__	:						Union[str, Any]      		=  directed





   def 	_snake_case ( self					,			snake_case					,			snake_case      )				->  GraphAdjacencyList[T]:
      """simple docstring"""





      if not self.directed:  # For undirected graphs
         # if both source vertex and destination vertex are both present in the
         # adjacency list, add destination vertex to source vertex list of adjacent
         # vertices and add source vertex to destination vertex list of adjacent
         # vertices.
         if source_vertex in self.adj_list and destination_vertex in self.adj_list:
            self.adj_list[source_vertex].append(snake_case      )
            self.adj_list[destination_vertex].append(snake_case      )
         # if only source vertex is present in adjacency list, add destination vertex
         # to source vertex list of adjacent vertices, then create a new vertex with
         # destination vertex as key and assign a list containing the source vertex
         # as it's first adjacent vertex.
         elif source_vertex in self.adj_list:
            self.adj_list[source_vertex].append(snake_case      )
            a__	:						Any      		=  [source_vertex]
         # if only destination vertex is present in adjacency list, add source vertex
         # to destination vertex list of adjacent vertices, then create a new vertex
         # with source vertex as key and assign a list containing the source vertex
         # as it's first adjacent vertex.
         elif destination_vertex in self.adj_list:
            self.adj_list[destination_vertex].append(snake_case      )
            a__	:						Union[str, Any]      		=  [destination_vertex]
         # if both source vertex and destination vertex are not present in adjacency
         # list, create a new vertex with source vertex as key and assign a list
         # containing the destination vertex as it's first adjacent vertex also
         # create a new vertex with destination vertex as key and assign a list
         # containing the source vertex as it's first adjacent vertex.
         else:
            a__	:						Optional[int]      		=  [destination_vertex]
            a__	:						Any      		=  [source_vertex]
      else:  # For directed graphs
         # if both source vertex and destination vertex are present in adjacency
         # list, add destination vertex to source vertex list of adjacent vertices.
         if source_vertex in self.adj_list and destination_vertex in self.adj_list:
            self.adj_list[source_vertex].append(snake_case      )
         # if only source vertex is present in adjacency list, add destination
         # vertex to source vertex list of adjacent vertices and create a new vertex
         # with destination vertex as key, which has no adjacent vertex
         elif source_vertex in self.adj_list:
            self.adj_list[source_vertex].append(snake_case      )
            a__	:						Optional[int]      		=  []
         # if only destination vertex is present in adjacency list, create a new
         # vertex with source vertex as key and assign a list containing destination
         # vertex as first adjacent vertex
         elif destination_vertex in self.adj_list:
            a__	:						Any      		=  [destination_vertex]
         # if both source vertex and destination vertex are not present in adjacency
         # list, create a new vertex with source vertex as key and a list containing
         # destination vertex as it's first adjacent vertex. Then create a new vertex
         # with destination vertex as key, which has no adjacent vertex
         else:
            a__	:						Tuple      		=  [destination_vertex]
            a__	:						str      		=  []

      return self





   def __repr__( self      )				->  str:
      """simple docstring"""





      return pformat(self.adj_list      )








from PIL import Image






def       _A  (      lowerCamelCase							, lowerCamelCase   ):

   def brightness(lowerCamelCase   ) -> float:
      return 128 + level + (c - 128)

   if not -255.0 <= level <= 255.0:
      raise ValueError("level must be between -255.0 (black) and 255.0 (white)"   )
   return img.point(lowerCamelCase   )


if __name__ == "__main__":
  # Load image
  with Image.open("""image_data/lena.jpg""") as img:
    # Change brightness to 100
    SCREAMING_SNAKE_CASE__       :			List[str]			      =						change_brightness(img, 1_0_0)
    brigt_img.save("""image_data/lena_brightness.png""", format="""png""")

