




"""simple docstring"""


def       UpperCAmelCase__ (snake_case__							:      str	,     snake_case__							:      str					):
  """simple docstring"""

  def get_matched_characters(snake_case__							:      str	,     snake_case__							:      str					) -> str:
    _snake_case							:	str			=						[]
    _snake_case							:	Any			=						min(len(_stra					)	,     len(_stra					)					) // 2
    for i, l in enumerate(_stra					):
      _snake_case							:	Optional[int]			=						int(max(0	,     i - limit					)					)
      _snake_case							:	Any			=						int(min(i + limit + 1	,     len(_stra					)					)					)
      if l in _stra[left:right]:
        matched.append(snake_case__					)
        _snake_case							:	List[str]			=						F"{_stra[0:_stra.index(snake_case__					)]} {_stra[_stra.index(snake_case__					) + 1:]}"

    return "".join(snake_case__					)

  # matching characters
  _snake_case							:	Optional[Any]			=						get_matched_characters(snake_case__	,     snake_case__					)
  _snake_case							:	Optional[Any]			=						get_matched_characters(snake_case__	,     snake_case__					)
  _snake_case							:	int			=						len(snake_case__					)

  # transposition
  _snake_case							:	List[str]			=						(
      len([(ca, ca) for ca, ca in zip(snake_case__	,     snake_case__					) if ca != ca]					) // 2
  )

  if not match_count:
    _snake_case							:	Tuple			=						0.0
  else:
    _snake_case							:	str			=						(
        1
        / 3
        * (
            match_count / len(snake_case__					)
            + match_count / len(snake_case__					)
            + (match_count - transpositions) / match_count
        )
    )

  # common prefix up to 4 characters
  _snake_case							:	int			=						0
  for ca, ca in zip(stra[:4]	,     stra[:4]					):
    if ca == ca:
      prefix_len += 1
    else:
      break

  return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     print(jaro_winkler('''hello''', '''world'''))








"""simple docstring"""


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,
)


A_      			=       {
    '''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:
     A_      			=       ['''OwlViTFeatureExtractor''']
     A_      			=       ['''OwlViTImageProcessor''']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A_      			=       [
         '''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

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


