
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__A       =      {
    "configuration_flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A       =      ["FlavaFeatureExtractor"]
				__A       =      ["FlavaImageProcessor"]
				__A       =      ["FlavaProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A       =      [
				    "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

				__A       =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)








'''simple docstring'''



def 	_A						(							lowercase__		):
						return " ".join(sorted(set(sentence.split()		)		)		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()






