

from typing import TYPE_CHECKING

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


lowercase_									=   {
    'configuration_mobilevit': ['MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MobileViTConfig', 'MobileViTOnnxConfig'],
}

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

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_									=   [
      'MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'MobileViTForImageClassification',
      'MobileViTForSemanticSegmentation',
      'MobileViTModel',
      'MobileViTPreTrainedModel',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_									=   [
      'TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'TFMobileViTForImageClassification',
      'TFMobileViTForSemanticSegmentation',
      'TFMobileViTModel',
      'TFMobileViTPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig, MobileViTOnnxConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_mobilevit import MobileViTFeatureExtractor
    from .image_processing_mobilevit import MobileViTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_mobilevit import (
        MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        MobileViTForImageClassification,
        MobileViTForSemanticSegmentation,
        MobileViTModel,
        MobileViTPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_mobilevit import (
        TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFMobileViTForImageClassification,
        TFMobileViTForSemanticSegmentation,
        TFMobileViTModel,
        TFMobileViTPreTrainedModel,
    )


else:
  import sys

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










def 						_a    (      a :float	,							a :float )							->			float:
 return price * (1 + tax_rate)


if __name__ == "__main__":
     print(f"""{price_plus_tax(100, 0.25) = }""")
     print(f"""{price_plus_tax(125.50, 0.05) = }""")


