




from __future__ import annotations

from typing import Any




class       a__	:







     def __init__(     self  ,		A = 6			)  ->   None:



          '''simple docstring'''



          a     =				None
          a     =				None
          self.create_linked_list(A			)







     def       lowerCAmelCase_    (     self  ,		A			)  ->   None:



          '''simple docstring'''



          a     =				Node()
          a     =				current_node
          a     =				current_node
          a     =				current_node
          for _ in range(1  ,		A			):
               a     =				Node()
               a     =				current_node
               a     =				previous_node
               a     =				current_node
          a     =				self.front
          a     =				previous_node







     def       lowerCAmelCase_    (     self			)  ->   bool:



          '''simple docstring'''



          return (
              self.front == self.rear
              and self.front is not None
              and self.front.data is None
          )







     def       lowerCAmelCase_    (     self			)  ->   Any | None:



          '''simple docstring'''



          self.check_can_perform_operation()
          return self.front.data if self.front else None







     def       lowerCAmelCase_    (     self  ,		A			)  ->   None:



          '''simple docstring'''



          if self.rear is None:
               return

          self.check_is_full()
          if not self.is_empty():
               a     =				self.rear.next
          if self.rear:
               a     =				data







     def       lowerCAmelCase_    (     self			)  ->   Any:



          '''simple docstring'''



          self.check_can_perform_operation()
          if self.rear is None or self.front is None:
               return None
          if self.front == self.rear:
               a     =				self.front.data
               a     =				None
               return data

          a     =				self.front
          a     =				old_front.next
          a     =				old_front.data
          a     =				None
          return data







     def       lowerCAmelCase_    (     self			)  ->   None:



          '''simple docstring'''



          if self.is_empty():
               raise Exception("Empty Queue"			)







     def       lowerCAmelCase_    (     self			)  ->   None:



          '''simple docstring'''



          if self.rear and self.rear.next == self.front:
               raise Exception("Full Queue"			)







class       a__	:







     def __init__(     self			)  ->   None:



          '''simple docstring'''



          a     =				None
          a     =				None
          a     =				None


if __name__ == "__main__":
   import doctest

   doctest.testmod()







# 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

lowercase__				:      str	   = TypeVar("T")




class       a__	( Generic[T]				):







     def __init__(     self  ,		A = True			)  ->   None:



          '''simple docstring'''



          a     =				{}  # dictionary of lists
          a     =				directed







     def       lowerCAmelCase_    (     self  ,		A  ,		A			)  ->   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(A			)
                    self.adj_list[destination_vertex].append(A			)
               # 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(A			)
                    a     =				[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(A			)
                    a     =				[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     =				[destination_vertex]
                    a     =				[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(A			)
               # 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(A			)
                    a     =				[]
               # 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     =				[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     =				[destination_vertex]
                    a     =				[]

          return self







     def __repr__(     self			)  ->   str:



          '''simple docstring'''



          return pformat(self.adj_list			)

