






from __future__ import annotations

from collections import Counter
from random import random







class 		_A						:

  def __init__(    self						:	Tuple			):
     """simple docstring"""

     __UpperCamelCase	:			List[str]					=					{}

  def    a					(    self						:	Optional[Any]   ,				lowerCamelCase__						:	str			):
     """simple docstring"""

     __UpperCamelCase	:			Union[str, Any]					=					{}

  def    a					(    self						:	Union[str, Any]   ,				lowerCamelCase__						:	str   ,				lowerCamelCase__						:	str   ,				lowerCamelCase__						:	float			):
     """simple docstring"""

     if nodea not in self.connections:
        self.add_node(lowerCamelCase__			)
     if nodea not in self.connections:
        self.add_node(lowerCamelCase__			)
     __UpperCamelCase	:			Optional[int]					=					probability

  def    a					(    self						:	Optional[Any]			):
     """simple docstring"""

     return list(self.connections			)

  def    a					(    self						:	List[Any]   ,				lowerCamelCase__						:	str			):
     """simple docstring"""

     __UpperCamelCase	:			List[str]					=					0
     __UpperCamelCase	:			Optional[Any]					=					random()

     for dest in self.connections[node]:
        current_probability += self.connections[node][dest]
        if current_probability > random_value:
           return dest
     return ""







def 				__lowerCamelCase     (							__lowerCAmelCase							:					str					,							__lowerCAmelCase							:					list[tuple[str, str, float]]					,							__lowerCAmelCase							:					int							)     ->  dict[str, int]:
   __UpperCamelCase	:			Optional[int]					=					MarkovChainGraphUndirectedUnweighted()

   for nodea, nodea, probability in transitions:
      graph.add_transition_probability(__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase							)

   __UpperCamelCase	:			Union[str, Any]					=					Counter(graph.get_nodes()							)
   __UpperCamelCase	:			Optional[int]					=					start

   for _ in range(__lowerCAmelCase							):
      __UpperCamelCase	:			Tuple					=					graph.transition(__lowerCAmelCase							)
      visited[node] += 1

   return visited


if __name__ == "__main__":
       import doctest

       doctest.testmod()











from __future__ import annotations







class 		_A						:

  def __init__(    self						:	List[str]   ,				lowerCamelCase__						:	Any=None			):
     """simple docstring"""

     __UpperCamelCase	:			Union[str, Any]					=					data
     __UpperCamelCase	:			Union[str, Any]					=					None

  def __repr__(    self						:	int			):
     """simple docstring"""

     __UpperCamelCase	:			Union[str, Any]					=					[]
     __UpperCamelCase	:			Optional[int]					=					self
     while temp:
        string_rep.append(f'{temp.data}'			)
        __UpperCamelCase	:			Dict					=					temp.next
     return "->".join(lowerCamelCase__			)







def 				__lowerCamelCase     (							__lowerCAmelCase							:					list							)     ->  Tuple:
   if not elements_list:
      raise Exception("""The Elements List is empty"""							)

   __UpperCamelCase	:			Dict					=					Node(elements_list[0]							)
   for i in range(1					,							len(__lowerCAmelCase							)							):
      __UpperCamelCase	:			List[str]					=					Node(elements_list[i]							)
      __UpperCamelCase	:			Optional[int]					=					current.next
   return head


def 				__lowerCamelCase     (							__lowerCAmelCase							:					Node							)     ->  None:
   if head_node is not None and isinstance(__lowerCAmelCase					,							__lowerCAmelCase							):
      print_reverse(head_node.next							)
      print(head_node.data							)


def 				__lowerCamelCase     (							)     ->  Union[str, Any]:
   from doctest import testmod

   testmod()

   __UpperCamelCase	:			Any					=					make_linked_list([14, 52, 14, 12, 43]							)
   print("""Linked List:"""							)
   print(__lowerCAmelCase							)
   print("""Elements in Reverse:"""							)
   print_reverse(__lowerCAmelCase							)


if __name__ == "__main__":
       main()



