
'''simple docstring'''







from __future__ import annotations

from typing import TypedDict


class 						__UpperCAmelCase      (					_lowerCamelCase						):
							__lowercase      		=       42
							__lowercase      		=       42







def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	list[str]:
	if not isinstance(__A			,				__A	):
		raise TypeError('The parameter s type must be str.'	)

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







def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	BWTTransformDict:
	if not isinstance(__A			,				__A	):
		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(__A	)
	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(__A	),
	}
	return response







def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A	)       ->	str:
	if not isinstance(__A			,				__A	):
		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(__A	)
	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(__A	):
		raise ValueError(
		    'The parameter idx_original_string must be lower than' ' len(bwt_string).'	)

	_snake_case   						=		[''] * len(__A	)
	for _ in range(len(__A	)	):
		for i in range(len(__A	)	):
			_snake_case   						=		bwt_string[i] + ordered_rotations[i]
		ordered_rotations.sort()
	return ordered_rotations[idx_original_string]


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

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


lowercase    :							List[str]      =					{
    "configuration_pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
    "processing_pix2struct": ["Pix2StructProcessor"],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase    :							Optional[int]      =					["Pix2StructImageProcessor"]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase    :							Tuple      =					[
					    "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "Pix2StructPreTrainedModel",
					    "Pix2StructForConditionalGeneration",
					    "Pix2StructVisionModel",
					    "Pix2StructTextModel",
					]

if TYPE_CHECKING:
					from .configuration_pixastruct import (
					    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    PixaStructConfig,
					    PixaStructTextConfig,
					    PixaStructVisionConfig,
					)
					from .processing_pixastruct import PixaStructProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_pixastruct import PixaStructImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_pixastruct import (
										    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    PixaStructForConditionalGeneration,
										    PixaStructPreTrainedModel,
										    PixaStructTextModel,
										    PixaStructVisionModel,
										)

else:
					import sys

					lowercase    :							List[str]      =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

