

lowercase_             =     {
    'meter': 'm',
    'kilometer': 'km',
    'megametre': 'Mm',
    'gigametre': 'Gm',
    'terametre': 'Tm',
    'petametre': 'Pm',
    'exametre': 'Em',
    'zettametre': 'Zm',
    'yottametre': 'Ym',
}
# Exponent of the factor(meter)
lowercase_             =     {
    'm': 0,
    'km': 3,
    'Mm': 6,
    'Gm': 9,
    'Tm': 1_2,
    'Pm': 1_5,
    'Em': 1_8,
    'Zm': 2_1,
    'Ym': 2_4,
}
def   a   (    A__			:     Optional[int]   ,     A__			:     Union[str, Any]   ,     A__			:     Tuple  )					->   List[Any]:





      """simple docstring"""



      _lowercase			 =from_type.lower().strip('s'  )
      _lowercase			 =to_type.lower().strip('s'  )

      _lowercase			 =UNIT_SYMBOL.get(lowerCAmelCase__   ,     lowerCAmelCase__  )
      _lowercase			 =UNIT_SYMBOL.get(lowerCAmelCase__   ,     lowerCAmelCase__  )

      if from_sanitized not in METRIC_CONVERSION:
            _lowercase			 =(
                F'''Invalid \'from_type\' value: {from_type!r}.\n'''
                F'''Conversion abbreviations are: {", ".join(lowerCAmelCase__  )}'''
            )
            raise ValueError(lowerCAmelCase__  )
      if to_sanitized not in METRIC_CONVERSION:
            _lowercase			 =(
                F'''Invalid \'to_type\' value: {to_type!r}.\n'''
                F'''Conversion abbreviations are: {", ".join(lowerCAmelCase__  )}'''
            )
            raise ValueError(lowerCAmelCase__  )
      _lowercase			 =METRIC_CONVERSION[from_sanitized]
      _lowercase			 =METRIC_CONVERSION[to_sanitized]
      _lowercase			 =1

      if from_exponent > to_exponent:
            _lowercase			 =from_exponent - to_exponent
      else:
            _lowercase			 =-(to_exponent - from_exponent)

      return value * pow(10   ,     lowerCAmelCase__  )


if __name__ == "__main__":
    from doctest import testmod

    testmod()





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_torch_available,
    is_vision_available,
)


lowercase_             =     {'configuration_beit': ['BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BeitConfig', 'BeitOnnxConfig']}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_             =     ['BeitFeatureExtractor']
  lowercase_             =     ['BeitImageProcessor']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_             =     [
      'BEIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'BeitForImageClassification',
      'BeitForMaskedImageModeling',
      'BeitForSemanticSegmentation',
      'BeitModel',
      'BeitPreTrainedModel',
  ]


try:
  if not is_flax_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_             =     [
      'FlaxBeitForImageClassification',
      'FlaxBeitForMaskedImageModeling',
      'FlaxBeitModel',
      'FlaxBeitPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig, BeitOnnxConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_beit import BeitFeatureExtractor
    from .image_processing_beit import BeitImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_beit import (
        BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        BeitForImageClassification,
        BeitForMaskedImageModeling,
        BeitForSemanticSegmentation,
        BeitModel,
        BeitPreTrainedModel,
    )

  try:
    if not is_flax_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_flax_beit import (
        FlaxBeitForImageClassification,
        FlaxBeitForMaskedImageModeling,
        FlaxBeitModel,
        FlaxBeitPreTrainedModel,
    )


else:
  import sys

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


