'''simple docstring'''






from __future__ import annotations

from typing import TypedDict




class  a			(							snake_case_					):



  """simple docstring"""
  __lowerCAmelCase					   =       4_2
  __lowerCAmelCase					   =       4_2






def 			UpperCamelCase__       (       _lowercase     :					str  )				->						Union[str, Any]:
  if not isinstance(_lowercase ,     _lowercase  ):
    raise TypeError("""The parameter s type must be str."""  )

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






def 			UpperCamelCase__       (       _lowercase     :					str  )				->						int:
  if not isinstance(_lowercase ,     _lowercase  ):
    raise TypeError("""The parameter s type must be str."""  )
  if not s:
    raise ValueError("""The parameter s must not be empty."""  )

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






def 			UpperCamelCase__       (       _lowercase     :					str ,     _lowercase     :					int  )				->						List[str]:
  if not isinstance(_lowercase ,     _lowercase  ):
    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:
    __UpperCAmelCase:       Union[str, Any]		=			int(_lowercase  )
  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(_lowercase  ):
    raise ValueError(
        """The parameter idx_original_string must be lower than""" """ len(bwt_string)."""  )

  __UpperCAmelCase:       Optional[Any]		=			[""""""] * len(_lowercase  )
  for _ in range(len(_lowercase  )  ):
    for i in range(len(_lowercase  )  ):
      __UpperCAmelCase:       Tuple		=			bwt_string[i] + ordered_rotations[i]
    ordered_rotations.sort()
  return ordered_rotations[idx_original_string]


if __name__ == "__main__":
    SCREAMING_SNAKE_CASE_						 =      'Provide a string that I will generate its BWT transform: '
    SCREAMING_SNAKE_CASE_						 =      input(entry_msg).strip()
    SCREAMING_SNAKE_CASE_						 =      bwt_transform(s)
    print(
        F"""Burrows Wheeler transform for string '{s}' results """
        F"""in '{result["bwt_string"]}'"""
    )
    SCREAMING_SNAKE_CASE_						 =      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'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate


@dataclass(frozen=snake_case_)
class 			SCREAMING_SNAKE_CASE__      (     snake_case_):
				lowerCAmelCase_     			=							field(default="""language-modeling"""							,       metadata={"""include_in_asdict_even_if_is_default""": True})

				lowerCAmelCase_     			=							Features({"""text""": Value("""string""")})
				lowerCAmelCase_     			=							Features({})
				lowerCAmelCase_     			=							"text"







				@property
				def 						UpperCAmelCase_    (       self     )->		Dict[str, str]:







											'''simple docstring'''






											return {self.text_column: "text"}




