code: 
  '''simple docstring'''
  from ..utils import DummyObject, requires_backends
  
  
  
  
  
  
  class   snake_case__					(			metaclass=A_				):
  
  
  
  
  
  
  
    """simple docstring"""
  
    lowerCamelCase           =	["""torch""", """librosa"""]
  
  
  
    def __init__(			self							: Tuple     ,  *UpperCamelCase__							: int     ,  **UpperCamelCase__							: Optional[Any]			)	-> int:
  
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      requires_backends(self     ,  ['''torch''', '''librosa''']			)
  
  
  
    @classmethod
    def 			lowerCAmelCase							(			cls							: List[Any]     ,  *UpperCamelCase__							: Optional[int]     ,  **UpperCamelCase__							: List[str]			)	-> Any:
  
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      requires_backends(cls     ,  ['''torch''', '''librosa''']			)
  
  
  
    @classmethod
    def 			lowerCAmelCase							(			cls							: List[str]     ,  *UpperCamelCase__							: Union[str, Any]     ,  **UpperCamelCase__							: List[str]			)	-> Optional[int]:
  
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      requires_backends(cls     ,  ['''torch''', '''librosa''']			)
  
  
  
  
  
  
  
  class   snake_case__					(			metaclass=A_				):
  
  
  
  
  
  
  
    """simple docstring"""
  
    lowerCamelCase           =	["""torch""", """librosa"""]
  
  
  
    def __init__(			self							: Dict     ,  *UpperCamelCase__							: str     ,  **UpperCamelCase__							: int			)	-> List[Any]:
  
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      requires_backends(self     ,  ['''torch''', '''librosa''']			)
  
  
  
    @classmethod
    def 			lowerCAmelCase							(			cls							: Tuple     ,  *UpperCamelCase__							: List[str]     ,  **UpperCamelCase__							: str			)	-> List[Any]:
  
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      requires_backends(cls     ,  ['''torch''', '''librosa''']			)
  
  
  
    @classmethod
    def 			lowerCAmelCase							(			cls							: List[str]     ,  *UpperCamelCase__							: Optional[int]     ,  **UpperCamelCase__							: List[Any]			)	-> List[Any]:
  
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
  
      requires_backends(cls     ,  ['''torch''', '''librosa''']			)
  
  
  
style_context: 
  '''simple docstring'''
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  lowercase__						=			{
      "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__						=			["FlavaFeatureExtractor"]
  						lowercase__						=			["FlavaImageProcessor"]
  						lowercase__						=			["FlavaProcessor"]
  
  try:
  						if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  						pass
  else:
  						lowercase__						=			[
  						    "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__						=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  