

"""simple docstring"""





from __future__ import annotations

from typing import TypedDict




class  _lowerCAmelCase  (     lowercase       ):







 """simple docstring"""







 __UpperCAmelCase     : str
 __UpperCAmelCase     : int







def   _A  (  UpperCamelCase_					:	str)     ->						list[str]:
   '''simple docstring'''


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

   return [s[i:] + s[:i] for i in range(len(UpperCamelCase_))]




def   _A  (  UpperCamelCase_					:	str)     ->						BWTTransformDict:
   '''simple docstring'''


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

   __lowercase								=						all_rotations(UpperCamelCase_)
   rotations.sort()  # sort the list of rotations in alphabetically order
   # make a string composed of the last char of each rotation
   __lowercase								=						{
       "bwt_string": "".join([word[-1] for word in rotations]),
       "idx_original_string": rotations.index(UpperCamelCase_),
   }
   return response




def   _A  (  UpperCamelCase_					:	str,      UpperCamelCase_					:	int)     ->						str:
   '''simple docstring'''


   if not isinstance(UpperCamelCase_,      UpperCamelCase_):
      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:
      __lowercase								=						int(UpperCamelCase_)
   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(UpperCamelCase_):
      raise ValueError(
          "The parameter idx_original_string must be lower than" " len(bwt_string).")

   __lowercase								=						[""] * len(UpperCamelCase_)
   for _ in range(len(UpperCamelCase_)):
      for i in range(len(UpperCamelCase_)):
         __lowercase								=						bwt_string[i] + ordered_rotations[i]
      ordered_rotations.sort()
   return ordered_rotations[idx_original_string]


if __name__ == "__main__":
   _a							=							'Provide a string that I will generate its BWT transform: '
   _a							=							input(entry_msg).strip()
   _a							=							bwt_transform(s)
   print(
       F"Burrows Wheeler transform for string '{s}' results "
       F"in '{result['bwt_string']}'"
   )
   _a							=							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

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

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




def   _A  (  UpperCamelCase_					:	str)     ->						str:
   '''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_))




