



'''simple docstring'''




from __future__ import annotations

from typing import TypedDict






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			_A   :	str
			_A   :	int


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

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


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

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


def        lowerCAmelCase_     (			_lowerCamelCase:     str ,   _lowerCamelCase:     int      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ):
				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:
				__SCREAMING_SNAKE_CASE :	Dict					 =	int(_lowerCamelCase      )
		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(_lowerCamelCase      ):
				raise ValueError(
				    """The parameter idx_original_string must be lower than""" """ len(bwt_string)."""      )

		__SCREAMING_SNAKE_CASE :	List[Any]					 =	[""""""] * len(_lowerCamelCase      )
		for _ in range(len(_lowerCamelCase      )      ):
				for i in range(len(_lowerCamelCase      )      ):
						__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	bwt_string[i] + ordered_rotations[i]
				ordered_rotations.sort()
		return ordered_rotations[idx_original_string]


if __name__ == "__main__":
						UpperCamelCase__ :			Optional[Any]												=				'''Provide a string that I will generate its BWT transform: '''
						UpperCamelCase__ :			List[Any]												=				input(entry_msg).strip()
						UpperCamelCase__ :			Optional[int]												=				bwt_transform(s)
						print(
						    f"Burrows Wheeler transform for string '{s}' results "
						    f"in '{result['bwt_string']}'"
						)
						UpperCamelCase__ :			Tuple												=				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 warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


UpperCamelCase__ :			List[str]												=				logging.get_logger(__name__)






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			def __init__(							self  :				Union[str, Any]							,  *lowerCAmelCase__  :				str							,  **lowerCAmelCase__  :				Any		):





					"""simple docstring"""






					warnings.warn(
					    """The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
					    """ use DeiTImageProcessor instead."""							,  lowerCAmelCase__							,  )
					super().__init__(*lowerCAmelCase__							,  **lowerCAmelCase__		)