


"""simple docstring"""






from __future__ import annotations

from typing import TypedDict




class 							A_      (       _a ):
  lowerCAmelCase__      			=	42
  lowerCAmelCase__      			=	42







def        lowerCamelCase_(		_lowerCamelCase       )    ->     list[str]:
   '''simple docstring'''





   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       )    ->     BWTTransformDict:
   '''simple docstring'''





   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."       )

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







def        lowerCamelCase_(		_lowerCamelCase			,		_lowerCamelCase       )    ->     str:
   '''simple docstring'''





   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:
      _lowerCamelCase   :				Tuple							=     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)."       )

   _lowerCamelCase   :				Dict							=     [""] * len(_lowerCamelCase       )
   for _ in range(len(_lowerCamelCase       )       ):
      for i in range(len(_lowerCamelCase       )       ):
         _lowerCamelCase   :				Tuple							=     bwt_string[i] + ordered_rotations[i]
      ordered_rotations.sort()
   return ordered_rotations[idx_original_string]


if __name__ == "__main__":
  _lowerCAmelCase							:    Any					   =	'''Provide a string that I will generate its BWT transform: '''
  _lowerCAmelCase							:    Optional[Any]					   =	input(entry_msg).strip()
  _lowerCAmelCase							:    List[str]					   =	bwt_transform(s)
  print(
      f'''Burrows Wheeler transform for string \'{s}\' results '''
      f'''in \'{result['bwt_string']}\''''
  )
  _lowerCAmelCase							:    str					   =	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_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


lowerCamelCase      :       List[Any]    =						{
    '''configuration_owlvit''': [
        '''OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''OwlViTConfig''',
        '''OwlViTOnnxConfig''',
        '''OwlViTTextConfig''',
        '''OwlViTVisionConfig''',
    ],
    '''processing_owlvit''': ['''OwlViTProcessor'''],
}


try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase      :       List[Any]    =						['''OwlViTFeatureExtractor''']
 lowerCamelCase      :       str    =						['''OwlViTImageProcessor''']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase      :       List[str]    =						[
     '''OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''OwlViTModel''',
     '''OwlViTPreTrainedModel''',
     '''OwlViTTextModel''',
     '''OwlViTVisionModel''',
     '''OwlViTForObjectDetection''',
 ]

if TYPE_CHECKING:
 from .configuration_owlvit import (
     OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
     OwlViTConfig,
     OwlViTOnnxConfig,
     OwlViTTextConfig,
     OwlViTVisionConfig,
 )
 from .processing_owlvit import OwlViTProcessor

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_owlvit import OwlViTFeatureExtractor
  from .image_processing_owlvit import OwlViTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_owlvit import (
      OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      OwlViTForObjectDetection,
      OwlViTModel,
      OwlViTPreTrainedModel,
      OwlViTTextModel,
      OwlViTVisionModel,
  )

else:
 import sys

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






