





from typing import TYPE_CHECKING

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


A__    :       int              ={
    '''configuration_conditional_detr''': [
        '''CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ConditionalDetrConfig''',
        '''ConditionalDetrOnnxConfig''',
    ]
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__    :       Any              =['''ConditionalDetrFeatureExtractor''']
      A__    :       Dict              =['''ConditionalDetrImageProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__    :       Dict              =[
          '''CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ConditionalDetrForObjectDetection''',
          '''ConditionalDetrForSegmentation''',
          '''ConditionalDetrModel''',
          '''ConditionalDetrPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_conditional_detr import (
          CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
          ConditionalDetrConfig,
          ConditionalDetrOnnxConfig,
      )

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
            from .image_processing_conditional_detr import ConditionalDetrImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_conditional_detr import (
                CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
                ConditionalDetrForObjectDetection,
                ConditionalDetrForSegmentation,
                ConditionalDetrModel,
                ConditionalDetrPreTrainedModel,
            )

else:
      import sys

      A__    :       Union[str, Any]              =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)













'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


A__    :       int              ={'''tokenization_herbert''': ['''HerbertTokenizer''']}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__    :       Dict              =['''HerbertTokenizerFast''']


if TYPE_CHECKING:
      from .tokenization_herbert import HerbertTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_herbert_fast import HerbertTokenizerFast

else:
      import sys

      A__    :       List[Any]              =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






