





"""simple docstring"""




from __future__ import annotations

from typing import TypedDict


class  __UpperCamelCase       (		a__		):
							lowerCamelCase     :      str
							lowerCamelCase     :      int






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					str      )				->list[str]:






	'''simple docstring'''






	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    _SCREAMING_SNAKE_CASE	(			_lowercase		:					str      )				->BWTTransformDict:






	'''simple docstring'''






	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."      )

	a   :	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
	a   :	BWTTransformDict			=       {
	    "bwt_string": "".join([word[-1] for word in rotations]      ),
	    "idx_original_string": rotations.index(_lowercase      ),
	}
	return response






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					str					, _lowercase		:					int      )				->str:






	'''simple docstring'''






	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:
		a   :	Tuple			=       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)."      )

	a   :	str			=       [""] * len(_lowercase      )
	for _ in range(len(_lowercase      )      ):
		for i in range(len(_lowercase      )      ):
			a   :	int			=       bwt_string[i] + ordered_rotations[i]
		ordered_rotations.sort()
	return ordered_rotations[idx_original_string]


if __name__ == "__main__":
		a		:				Optional[int]  			=    '''Provide a string that I will generate its BWT transform: '''
		a		:				Optional[int]  			=    input(entry_msg).strip()
		a		:				List[Any]  			=    bwt_transform(s)
		print(
		    F'''Burrows Wheeler transform for string \'{s}\' results '''
		    F'''in \'{result["bwt_string"]}\''''
		)
		a		:				Any  			=    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 random import randint
from tempfile import TemporaryFile

import numpy as np






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					Optional[int]					, _lowercase		:					Optional[Any]					, _lowercase		:					Union[str, Any]      )				->Dict:






	'''simple docstring'''






	a   :	List[str]			=       0
	if start < end:
		a   :	Tuple			=       randint(_lowercase					, _lowercase      )
		a   :	List[str]			=       a[end]
		a   :	str			=       a[pivot]
		a   :	Optional[int]			=       temp

		a, a   :	Dict			=       _in_place_partition(_lowercase					, _lowercase					, _lowercase      )
		count += _in_place_quick_sort(_lowercase					, _lowercase					, p - 1      )
		count += _in_place_quick_sort(_lowercase					, p + 1					, _lowercase      )
	return count






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					Optional[Any]					, _lowercase		:					str					, _lowercase		:					List[Any]      )				->str:






	'''simple docstring'''






	a   :	Union[str, Any]			=       0
	a   :	List[Any]			=       randint(_lowercase					, _lowercase      )
	a   :	int			=       a[end]
	a   :	List[str]			=       a[pivot]
	a   :	Tuple			=       temp
	a   :	Union[str, Any]			=       start - 1
	for index in range(_lowercase					, _lowercase      ):
		count += 1
		if a[index] < a[end]:  # check if current val is less than pivot value
			a   :	List[str]			=       new_pivot_index + 1
			a   :	Optional[int]			=       a[new_pivot_index]
			a   :	Union[str, Any]			=       a[index]
			a   :	List[Any]			=       temp

	a   :	Tuple			=       a[new_pivot_index + 1]
	a   :	str			=       a[end]
	a   :	Dict			=       temp
	return new_pivot_index + 1, count


a		:				int  			=    TemporaryFile()
a		:				Tuple  			=    100  # 1000 elements are to be sorted


a			,				a		:				int  			=    0, 1  # mean and standard deviation
a		:				List[Any]  			=    np.random.normal(mu, sigma, p)
np.save(outfile, X)
print('''The array is''')
print(X)


outfile.seek(0)  # using the same array
a		:				int  			=    np.load(outfile)
a		:				Tuple  			=    len(M) - 1
a		:				Union[str, Any]  			=    _in_place_quick_sort(M, 0, r)

print(
    '''No of Comparisons for 100 elements selected from a standard normal distribution'''
    '''is :'''
)







print(z)


