

from __future__ import annotations

from typing import TypedDict


class SCREAMING_SNAKE_CASE  (		__snake_case							):






			"""simple docstring"""




			__A						  =  42
			__A						  =  42







def a(lowercase__	):





	'''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 a(lowercase__	):





	'''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.'	)

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





def a(lowercase__			, lowercase__	):





	'''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:
		snake_case_      		= 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).'	)

	snake_case_      		= [''] * len(lowercase__	)
	for _ in range(len(lowercase__	)	):
		for i in range(len(lowercase__	)	):
			snake_case_      		= 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}'"""
		)



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available


A											=     {
    'configuration_audio_spectrogram_transformer': [
        'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ASTConfig',
    ]
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A											=     [
		    'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ASTForAudioClassification',
		    'ASTModel',
		    'ASTPreTrainedModel',
		]

try:
		if not is_speech_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A											=     ['ASTFeatureExtractor']

if TYPE_CHECKING:
		from .configuration_audio_spectrogram_transformer import (
		    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    ASTConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_audio_spectrogram_transformer import (
				    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ASTForAudioClassification,
				    ASTModel,
				    ASTPreTrainedModel,
				)

		try:
				if not is_speech_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
		import sys

		A											=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
