





__lowercase  :   Optional[int]						      ={
    """meter""": """m""",
    """kilometer""": """km""",
    """megametre""": """Mm""",
    """gigametre""": """Gm""",
    """terametre""": """Tm""",
    """petametre""": """Pm""",
    """exametre""": """Em""",
    """zettametre""": """Zm""",
    """yottametre""": """Ym""",
}
# Exponent of the factor(meter)
__lowercase  :   List[Any]						      ={
    """m""": 0,
    """km""": 3,
    """Mm""": 6,
    """Gm""": 9,
    """Tm""": 12,
    """Pm""": 15,
    """Em""": 18,
    """Zm""": 21,
    """Ym""": 24,
}




def     a__ (					lowercase__  ,    lowercase__  ,    lowercase__  ):






   '''simple docstring'''






   UpperCAmelCase_											=from_type.lower().strip("s"  )
   UpperCAmelCase_											=to_type.lower().strip("s"  )

   UpperCAmelCase_											=UNIT_SYMBOL.get(lowercase__  ,    lowercase__  )
   UpperCAmelCase_											=UNIT_SYMBOL.get(lowercase__  ,    lowercase__  )

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

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

   return value * pow(1_0  ,    lowercase__  )


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

     testmod()











from typing import TYPE_CHECKING

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


__lowercase  :   Optional[Any]						      ={
    """configuration_groupvit""": [
        """GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """GroupViTConfig""",
        """GroupViTOnnxConfig""",
        """GroupViTTextConfig""",
        """GroupViTVisionConfig""",
    ],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowercase  :   List[Any]						      =[
         """GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """GroupViTModel""",
         """GroupViTPreTrainedModel""",
         """GroupViTTextModel""",
         """GroupViTVisionModel""",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowercase  :   List[str]						      =[
         """TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """TFGroupViTModel""",
         """TFGroupViTPreTrainedModel""",
         """TFGroupViTTextModel""",
         """TFGroupViTVisionModel""",
     ]

if TYPE_CHECKING:
     from .configuration_groupvit import (
         GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         GroupViTConfig,
         GroupViTOnnxConfig,
         GroupViTTextConfig,
         GroupViTVisionConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_groupvit import (
              GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              GroupViTModel,
              GroupViTPreTrainedModel,
              GroupViTTextModel,
              GroupViTVisionModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_groupvit import (
              TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFGroupViTModel,
              TFGroupViTPreTrainedModel,
              TFGroupViTTextModel,
              TFGroupViTVisionModel,
          )

else:
     import sys

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




