


"""simple docstring"""




# 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

UpperCAmelCase_				:			Optional[Any]   =	TypeVar('T')
class 			SCREAMING_SNAKE_CASE__  (    Generic[T]      ):
      def __init__(	self    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	bool = True					)		->      None:
             a_ :		dict[T, list[T]]							=  {}  # dictionary of lists
             a_ :		Tuple							=  directed
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	T					,							SCREAMING_SNAKE_CASE__    :	T					)		->      GraphAdjacencyList[T]:

             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(SCREAMING_SNAKE_CASE__					)
                           self.adj_list[destination_vertex].append(SCREAMING_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(SCREAMING_SNAKE_CASE__					)
                           a_ :		List[str]							=  [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(SCREAMING_SNAKE_CASE__					)
                           a_ :		Optional[int]							=  [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_ :		Union[str, Any]							=  [destination_vertex]
                           a_ :		List[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(SCREAMING_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(SCREAMING_SNAKE_CASE__					)
                           a_ :		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_ :		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_ :		Any							=  [destination_vertex]
                           a_ :		Optional[Any]							=  []

             return self

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






from string import ascii_uppercase

UpperCAmelCase_				:			Dict   =	{char: i for i, char in enumerate(ascii_uppercase)}
UpperCAmelCase_				:			Optional[int]   =	dict(enumerate(ascii_uppercase))







def 	SCREAMING_SNAKE_CASE_						(      __A			:      str  ,   __A			:      str    )     ->		str:

       """simple docstring"""

       a_ :		Tuple							=  len(__A    )
       a_ :		int							=  0
       while True:
              if x == i:
                     a_ :		Tuple							=  0
              if len(__A    ) == len(__A    ):
                     break
              key += key[i]
              i += 1
       return key







def 	SCREAMING_SNAKE_CASE_						(      __A			:      str  ,   __A			:      str    )     ->		str:

       """simple docstring"""

       a_ :		Optional[int]							=  ''
       a_ :		Any							=  0
       for letter in message:
              if letter == " ":
                     cipher_text += " "
              else:
                     a_ :		Optional[Any]							=  (dicta[letter] - dicta[key_new[i]]) % 26
                     i += 1
                     cipher_text += dicta[x]
       return cipher_text







def 	SCREAMING_SNAKE_CASE_						(      __A			:      str  ,   __A			:      str    )     ->		str:

       """simple docstring"""

       a_ :		Any							=  ''
       a_ :		Optional[Any]							=  0
       for letter in cipher_text:
              if letter == " ":
                     or_txt += " "
              else:
                     a_ :		Union[str, Any]							=  (dicta[letter] + dicta[key_new[i]] + 26) % 26
                     i += 1
                     or_txt += dicta[x]
       return or_txt







def 	SCREAMING_SNAKE_CASE_						(      )     ->		None:

       """simple docstring"""

       a_ :		Tuple							=  'THE GERMAN ATTACK'
       a_ :		Dict							=  'SECRET'
       a_ :		Optional[Any]							=  generate_key(__A  ,   __A    )
       a_ :		Union[str, Any]							=  cipher_text(__A  ,   __A    )
       print(F"""Encrypted Text = {s}"""    )
       print(F"""Original Text = {original_text(__A  ,   __A    )}"""    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()


