code: 
  
  
  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:		List[str]							=     ["FlavaImageProcessor"]
         __lowercase:		List[Any]							=     ["FlavaProcessor"]
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         __lowercase:		Tuple							=     [
             "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:		List[Any]							=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
style_context: 
  
  
  '''simple docstring'''
  
  def        SCREAMING_SNAKE_CASE__(		_UpperCamelCase      :				int = 10_00   )		->					int:
  
  
  
  
  
     '''simple docstring'''
  
  
  
  
  
  
  
     return sum(i for i in range(_UpperCamelCase   ) if i % 3 == 0 or i % 5 == 0   )
  
  
  if __name__ == "__main__":
         print(F"""{solution() = }""")