

# 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

__snake_case							:	List[Any]											=       TypeVar("""T""")



class     A__(Generic[T]				):
						"""simple docstring"""






						def __init__(  self   ,	_lowercase = True  )			->      str:
									a_		:		dict[T, list[T]]      				=      {}  # dictionary of lists
									a_		:		Dict      				=      directed





						def        UpperCamelCase__ (  self   ,	_lowercase   ,	_lowercase  )			->      str:

									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(_lowercase  )
															self.adj_list[destination_vertex].append(_lowercase  )
												# 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(_lowercase  )
															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(_lowercase  )
															a_		:		Optional[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_		:		Any      				=      [destination_vertex]
															a_		:		Tuple      				=      [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(_lowercase  )
												# 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(_lowercase  )
															a_		:		List[str]      				=      []
												# 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_		:		List[str]      				=      [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_		:		Optional[Any]      				=      [destination_vertex]
															a_		:		Tuple      				=      []

									return self





						def __repr__(  self  )			->      Tuple:
									return pformat(self.adj_list  )




import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


_lowerCamelCase					   =logging.get_logger(__name__)





class 							A__		(	__SCREAMING_SNAKE_CASE):
      def __init__(      self    ,  *__magic_name__    ,  **__magic_name__      ):
       warnings.warn(
           """The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
           """ use OwlViTImageProcessor instead."""    ,  __magic_name__    ,  )
       super().__init__(*__magic_name__    ,  **__magic_name__      )




