



from collections import namedtuple

UpperCamelCase													=		namedtuple('''from_to''', '''from_ to''')

UpperCamelCase													=		{
    'millimeter': 'mm',
    'centimeter': 'cm',
    'meter': 'm',
    'kilometer': 'km',
    'inch': 'in',
    'inche': 'in',  # Trailing 's' has been stripped off
    'feet': 'ft',
    'foot': 'ft',
    'yard': 'yd',
    'mile': 'mi',
}

UpperCamelCase													=		{
    'mm': from_to(0.001, 1000),
    'cm': from_to(0.01, 100),
    'm': from_to(1, 1),
    'km': from_to(1000, 0.001),
    'in': from_to(0.0_254, 39.3_701),
    'ft': from_to(0.3_048, 3.28_084),
    'yd': from_to(0.9_144, 1.09_361),
    'mi': from_to(1609.34, 0.000_621_371),
}

def     lowercase_       (    _lowerCamelCase							: Optional[int]	,			_lowerCamelCase							: Dict	,			_lowerCamelCase							: Dict):
    lowercase__				:     Dict					      =       from_type.lower().rstrip("s")
    lowercase__				:     Dict					      =       TYPE_CONVERSION.get(__A	,			__A)
    lowercase__				:     Tuple					      =       to_type.lower().rstrip("s")
    lowercase__				:     Any					      =       TYPE_CONVERSION.get(__A	,			__A)
    if new_from not in METRIC_CONVERSION:
        lowercase__				:     Any					      =       (
            f'''Invalid \'from_type\' value: {from_type!r}.\n'''
            f'''Conversion abbreviations are: {", ".join(__A)}'''
        )
        raise ValueError(__A)
    if new_to not in METRIC_CONVERSION:
        lowercase__				:     str					      =       (
            f'''Invalid \'to_type\' value: {to_type!r}.\n'''
            f'''Conversion abbreviations are: {", ".join(__A)}'''
        )
        raise ValueError(__A)
    return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
      import doctest

      doctest.testmod()




from typing import TYPE_CHECKING

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


UpperCamelCase													=		{
    '''configuration_mobilenet_v1''': [
        '''MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileNetV1Config''',
        '''MobileNetV1OnnxConfig''',
    ],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase													=		['''MobileNetV1FeatureExtractor''']
      UpperCamelCase													=		['''MobileNetV1ImageProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase													=		[
          '''MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''MobileNetV1ForImageClassification''',
          '''MobileNetV1Model''',
          '''MobileNetV1PreTrainedModel''',
          '''load_tf_weights_in_mobilenet_v1''',
      ]


if TYPE_CHECKING:
      from .configuration_mobilenet_va import (
          MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
          MobileNetVaConfig,
          MobileNetVaOnnxConfig,
      )

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
            from .image_processing_mobilenet_va import MobileNetVaImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_mobilenet_va import (
                MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
                MobileNetVaForImageClassification,
                MobileNetVaModel,
                MobileNetVaPreTrainedModel,
                load_tf_weights_in_mobilenet_va,
            )


else:
      import sys

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



