code: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  lowerCAmelCase					 =	{
      '''configuration_mobilenet_v1''': [
          '''MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP''',
          '''MobileNetV1Config''',
          '''MobileNetV1OnnxConfig''',
      ],
  }
  
  try:
  	if not is_vision_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	lowerCAmelCase					 =	['''MobileNetV1FeatureExtractor''']
  	lowerCAmelCase					 =	['''MobileNetV1ImageProcessor''']
  
  try:
  	if not is_torch_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	lowerCAmelCase					 =	[
  	    '''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
  
  	lowerCAmelCase					 =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
  
style_context: 
  
  
  def  _lowerCamelCase(			lowercase__			)		->			str:
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		return " ".join([word[::-1] for word in input_str.split()]			)
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  
  
  
  
  
  