code: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  lowercase__			=	{
      '''configuration_dpr''': ['''DPR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DPRConfig'''],
      '''tokenization_dpr''': [
          '''DPRContextEncoderTokenizer''',
          '''DPRQuestionEncoderTokenizer''',
          '''DPRReaderOutput''',
          '''DPRReaderTokenizer''',
      ],
  }
  
  
  try:
         if not is_tokenizers_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowercase__			=	[
             '''DPRContextEncoderTokenizerFast''',
             '''DPRQuestionEncoderTokenizerFast''',
             '''DPRReaderTokenizerFast''',
         ]
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowercase__			=	[
             '''DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST''',
             '''DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST''',
             '''DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST''',
             '''DPRContextEncoder''',
             '''DPRPretrainedContextEncoder''',
             '''DPRPreTrainedModel''',
             '''DPRPretrainedQuestionEncoder''',
             '''DPRPretrainedReader''',
             '''DPRQuestionEncoder''',
             '''DPRReader''',
         ]
  
  try:
         if not is_tf_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowercase__			=	[
             '''TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST''',
             '''TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST''',
             '''TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST''',
             '''TFDPRContextEncoder''',
             '''TFDPRPretrainedContextEncoder''',
             '''TFDPRPretrainedQuestionEncoder''',
             '''TFDPRPretrainedReader''',
             '''TFDPRQuestionEncoder''',
             '''TFDPRReader''',
         ]
  
  
  if TYPE_CHECKING:
         from .configuration_dpr import DPR_PRETRAINED_CONFIG_ARCHIVE_MAP, DPRConfig
         from .tokenization_dpr import (
             DPRContextEncoderTokenizer,
             DPRQuestionEncoderTokenizer,
             DPRReaderOutput,
             DPRReaderTokenizer,
         )
  
         try:
                if not is_tokenizers_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .tokenization_dpr_fast import (
                    DPRContextEncoderTokenizerFast,
                    DPRQuestionEncoderTokenizerFast,
                    DPRReaderTokenizerFast,
                )
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_dpr import (
                    DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
                    DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
                    DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
                    DPRContextEncoder,
                    DPRPretrainedContextEncoder,
                    DPRPreTrainedModel,
                    DPRPretrainedQuestionEncoder,
                    DPRPretrainedReader,
                    DPRQuestionEncoder,
                    DPRReader,
                )
  
         try:
                if not is_tf_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_tf_dpr import (
                    TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
                    TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
                    TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
                    TFDPRContextEncoder,
                    TFDPRPretrainedContextEncoder,
                    TFDPRPretrainedQuestionEncoder,
                    TFDPRPretrainedReader,
                    TFDPRQuestionEncoder,
                    TFDPRReader,
                )
  
  else:
         import sys
  
         lowercase__			=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
style_context: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  # Copyright 2023 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
  
  # rely on isort to merge the imports
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  lowercase__			=	{
      '''configuration_convnextv2''': [
          '''CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
          '''ConvNextV2Config''',
      ]
  }
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowercase__			=	[
             '''CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
             '''ConvNextV2ForImageClassification''',
             '''ConvNextV2Model''',
             '''ConvNextV2PreTrainedModel''',
             '''ConvNextV2Backbone''',
         ]
  
  
  if TYPE_CHECKING:
         from .configuration_convnextva import (
             CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
             ConvNextVaConfig,
         )
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_convnextva import (
                    CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
                    ConvNextVaBackbone,
                    ConvNextVaForImageClassification,
                    ConvNextVaModel,
                    ConvNextVaPreTrainedModel,
                )
  
  else:
         import sys
  
         lowercase__			=	_LazyModule(__name__, globals()['''__file__'''], _import_structure)
  
  