





'''simple docstring'''




from __future__ import annotations

from collections import Counter
from random import random







class   A_	:




 def __init__(					self       :    List[str]    ):
      _UpperCAmelCase     							=   {}




 def      lowercase	(					self       :    int	,			snake_case_       :    str    ):
      _UpperCAmelCase     							=   {}




 def      lowercase	(					self       :    Tuple	,			snake_case_       :    str	,			snake_case_       :    str	,			snake_case_       :    float    ):
      if nodea not in self.connections:
           self.add_node(snake_case_    )
      if nodea not in self.connections:
           self.add_node(snake_case_    )
      _UpperCAmelCase     							=   probability




 def      lowercase	(					self       :    Tuple    ):
      return list(self.connections    )




 def      lowercase	(					self       :    Dict	,			snake_case_       :    str    ):
      _UpperCAmelCase     							=   0
      _UpperCAmelCase     							=   random()

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





def 	UpperCAmelCase_							(					__lowercase							:      str			,     __lowercase							:      list[tuple[str, str, float]]			,     __lowercase							:      int       )		->       dict[str, int]:


     '''simple docstring'''



     _UpperCAmelCase     							=   MarkovChainGraphUndirectedUnweighted()

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

     _UpperCAmelCase     							=   Counter(graph.get_nodes()       )
     _UpperCAmelCase     							=   start

     for _ in range(__lowercase       ):
          _UpperCAmelCase     							=   graph.transition(__lowercase       )
          visited[node] += 1

     return visited


if __name__ == "__main__":
  import doctest

  doctest.testmod()











'''simple docstring'''




import re

from filelock import FileLock


try:
  import nltk

  __SCREAMING_SNAKE_CASE     :Optional[int]       =				True
except (ImportError, ModuleNotFoundError):
  __SCREAMING_SNAKE_CASE     :str       =				False

if NLTK_AVAILABLE:
  with FileLock('''.lock''') as lock:
    nltk.download('''punkt''', quiet=True)
def 	UpperCAmelCase_							(					__lowercase							:      str       )		->       str:


     '''simple docstring'''



     re.sub("<n>"			,     ""			,     __lowercase       )  # remove pegasus newline char
     assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
     return "\n".join(nltk.sent_tokenize(__lowercase       )       )




