


"""simple docstring"""







from __future__ import annotations

from typing import TypedDict


class 				SCREAMING_SNAKE_CASE__    (		snake_case_    ):
       """simple docstring"""


       a  :    str
       a  :    int

def  a__      (    SCREAMING_SNAKE_CASE   :   Dict    ):


  '''simple docstring'''







  if not isinstance(__a    ,				__a    ):
    raise TypeError("The parameter s type must be str."    )

  return [s[i:] + s[:i] for i in range(len(__a    )    )]
def  a__      (    SCREAMING_SNAKE_CASE   :   Optional[int]    ):


  '''simple docstring'''







  if not isinstance(__a    ,				__a    ):
    raise TypeError("The parameter s type must be str."    )
  if not s:
    raise ValueError("The parameter s must not be empty."    )

  lowerCAmelCase					:					Optional[Any]								=							all_rotations(__a    )
  rotations.sort()  # sort the list of rotations in alphabetically order
  # make a string composed of the last char of each rotation
  lowerCAmelCase					:					BWTTransformDict								=							{
      "bwt_string": "".join([word[-1] for word in rotations]    ),
      "idx_original_string": rotations.index(__a    ),
  }
  return response
def  a__      (    SCREAMING_SNAKE_CASE   :   List[Any]    ,				SCREAMING_SNAKE_CASE   :   int    ):


  '''simple docstring'''







  if not isinstance(__a    ,				__a    ):
    raise TypeError("The parameter bwt_string type must be str."    )
  if not bwt_string:
    raise ValueError("The parameter bwt_string must not be empty."    )
  try:
    lowerCAmelCase					:					str								=							int(__a    )
  except ValueError:
    raise TypeError(
        "The parameter idx_original_string type must be int or passive"
        " of cast to int."    )
  if idx_original_string < 0:
    raise ValueError("The parameter idx_original_string must not be lower than 0."    )
  if idx_original_string >= len(__a    ):
    raise ValueError(
        "The parameter idx_original_string must be lower than" " len(bwt_string)."    )

  lowerCAmelCase					:					Union[str, Any]								=							[''] * len(__a    )
  for _ in range(len(__a    )    ):
    for i in range(len(__a    )    ):
      lowerCAmelCase					:					Dict								=							bwt_string[i] + ordered_rotations[i]
    ordered_rotations.sort()
  return ordered_rotations[idx_original_string]


if __name__ == "__main__":
   lowerCAmelCase__				    =       '''Provide a string that I will generate its BWT transform: '''
   lowerCAmelCase__				    =       input(entry_msg).strip()
   lowerCAmelCase__				    =       bwt_transform(s)
   print(
       F"Burrows Wheeler transform for string \'{s}\' results "
       F"in \'{result['bwt_string']}\'"
   )
   lowerCAmelCase__				    =       reverse_bwt(result['''bwt_string'''], result['''idx_original_string'''])
   print(
       F"Reversing Burrows Wheeler transform for entry \'{result['bwt_string']}\' "
       F"we get original string \'{original_string}\'"
   )









"""simple docstring"""







import re

from filelock import FileLock


try:
     import nltk

     lowerCAmelCase__				    =       True
except (ImportError, ModuleNotFoundError):
     lowerCAmelCase__				    =       False

if NLTK_AVAILABLE:
     with FileLock('''.lock''') as lock:
          nltk.download('''punkt''', quiet=True)
def  a__      (    SCREAMING_SNAKE_CASE   :   str    ):


  '''simple docstring'''







  re.sub("<n>"    ,				""    ,				SCREAMING_SNAKE_CASE    )  # 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(SCREAMING_SNAKE_CASE    )    )





