


from __future__ import annotations

from random import choice
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return choice(a__    )
def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_    ):



     """simple docstring"""






     snake_case					=    random_pivot(a__    )

     # partition based on pivot
     # linear time
     snake_case					=    [e for e in lst if e < pivot]
     snake_case					=    [e for e in lst if e > pivot]

     # if we get lucky, pivot might be the element we want.
     # we can easily see this:
     # small (elements smaller than k)
     # + pivot (kth element)
     # + big (elements larger than k)
     if len(a__    ) == k - 1:
          return pivot
     # pivot is in elements bigger than k
     elif len(a__    ) < k - 1:
          return kth_number(a__							,k - len(a__    ) - 1    )
     # pivot is in elements smaller than k
     else:
          return kth_number(a__							,a__    )


if __name__ == "__main__":
     import doctest

     doctest.testmod()








import re

from filelock import FileLock


try:
 import nltk

 _SCREAMING_SNAKE_CASE      :			Union[str, Any]      				=   True
except (ImportError, ModuleNotFoundError):
 _SCREAMING_SNAKE_CASE      :			Optional[Any]      				=   False

if NLTK_AVAILABLE:
 with FileLock(".lock") as lock:
  nltk.download("punkt", quiet=True)
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     re.sub('''<n>'''							,''''''							,UpperCamelCase_    )  # 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(UpperCamelCase_    )    )




