text: # flake8: noqa
  # There's no way to ignore "F401 '...' imported but unused" warnings in this
  # module, but to preserve other warnings. So, don't check this module at all.
  
  # Copyright 2021 The HuggingFace Team. All rights reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_torch_available,
      is_vision_available,
  )
  
  
  _import_structure = {"configuration_beit": ["BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BeitConfig", "BeitOnnxConfig"]}
  
  try:
      if not is_vision_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      _import_structure["feature_extraction_beit"] = ["BeitFeatureExtractor"]
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      _import_structure["modeling_beit"] = [
          "BEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
          "BeitForImageClassification",
          "BeitForMaskedImageModeling",
          "BeitForSemanticSegmentation",
          "BeitModel",
          "BeitPreTrainedModel",
      ]
  
  
  try:
      if not is_flax_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      _import_structure["modeling_flax_beit"] = [
          "FlaxBeitForImageClassification",
          "FlaxBeitForMaskedImageModeling",
          "FlaxBeitModel",
          "FlaxBeitPreTrainedModel",
      ]
  
  if TYPE_CHECKING:
      from .configuration_beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig, BeitOnnxConfig
  
      try:
          if not is_vision_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .feature_extraction_beit import BeitFeatureExtractor
  
      try:
          if not is_torch_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_beit import (
              BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BeitForImageClassification,
              BeitForMaskedImageModeling,
              BeitForSemanticSegmentation,
              BeitModel,
              BeitPreTrainedModel,
          )
  
      try:
          if not is_flax_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_flax_beit import (
              FlaxBeitForImageClassification,
              FlaxBeitForMaskedImageModeling,
              FlaxBeitModel,
              FlaxBeitPreTrainedModel,
          )
  
  
  else:
      import sys
  
      sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  