code: '''simple docstring'''
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  lowercase__    :       Union[str, Any]						=			{
      '''configuration_flava''': [
          '''FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP''',
          '''FlavaConfig''',
          '''FlavaImageCodebookConfig''',
          '''FlavaImageConfig''',
          '''FlavaMultimodalConfig''',
          '''FlavaTextConfig''',
      ],
  }
  
  try:
  	if not is_vision_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	lowercase__    :       List[str]						=			['''FlavaFeatureExtractor''']
  	lowercase__    :       str						=			['''FlavaImageProcessor''']
  	lowercase__    :       int						=			['''FlavaProcessor''']
  
  try:
  	if not is_torch_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	lowercase__    :       Union[str, Any]						=			[
  	    '''FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST''',
  	    '''FlavaForPreTraining''',
  	    '''FlavaImageCodebook''',
  	    '''FlavaImageModel''',
  	    '''FlavaModel''',
  	    '''FlavaMultimodalModel''',
  	    '''FlavaPreTrainedModel''',
  	    '''FlavaTextModel''',
  	]
  
  if TYPE_CHECKING:
  	from .configuration_flava import (
  	    FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
  	    FlavaConfig,
  	    FlavaImageCodebookConfig,
  	    FlavaImageConfig,
  	    FlavaMultimodalConfig,
  	    FlavaTextConfig,
  	)
  
  	try:
  		if not is_vision_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .feature_extraction_flava import FlavaFeatureExtractor
  		from .image_processing_flava import FlavaImageProcessor
  		from .processing_flava import FlavaProcessor
  
  	try:
  		if not is_torch_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_flava import (
  		    FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
  		    FlavaForPreTraining,
  		    FlavaImageCodebook,
  		    FlavaImageModel,
  		    FlavaModel,
  		    FlavaMultimodalModel,
  		    FlavaPreTrainedModel,
  		    FlavaTextModel,
  		)
  
  else:
  	import sys
  
  	lowercase__    :       Any						=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
style_context: def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			int:
  							return (input_a, input_a).count(0							) % 2
  
  def      SCREAMING_SNAKE_CASE_  (		)  ->			None:
  							assert xor_gate(0     ,						0							) == 0
  							assert xor_gate(0     ,						1							) == 1
  							assert xor_gate(1     ,						0							) == 1
  							assert xor_gate(1     ,						1							) == 0
  
  
  if __name__ == "__main__":
  	print(xor_gate(0, 0))
  	print(xor_gate(0, 1))
  
  
  
  