





"""simple docstring"""






from typing import TYPE_CHECKING

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


A			      =	{
    '''configuration_squeezebert''': [
        '''SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''SqueezeBertConfig''',
        '''SqueezeBertOnnxConfig''',
    ],
    '''tokenization_squeezebert''': ['''SqueezeBertTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A			      =	['''SqueezeBertTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A			      =	[
		    '''SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''SqueezeBertForMaskedLM''',
		    '''SqueezeBertForMultipleChoice''',
		    '''SqueezeBertForQuestionAnswering''',
		    '''SqueezeBertForSequenceClassification''',
		    '''SqueezeBertForTokenClassification''',
		    '''SqueezeBertModel''',
		    '''SqueezeBertModule''',
		    '''SqueezeBertPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_squeezebert import (
		    SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    SqueezeBertConfig,
		    SqueezeBertOnnxConfig,
		)
		from .tokenization_squeezebert import SqueezeBertTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_squeezebert_fast import SqueezeBertTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_squeezebert import (
				    SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SqueezeBertForMaskedLM,
				    SqueezeBertForMultipleChoice,
				    SqueezeBertForQuestionAnswering,
				    SqueezeBertForSequenceClassification,
				    SqueezeBertForTokenClassification,
				    SqueezeBertModel,
				    SqueezeBertModule,
				    SqueezeBertPreTrainedModel,
				)

else:
		import sys

		A			      =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE			: List[Any]				   =					{
    "configuration_poolformer": [
        "POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "PoolFormerConfig",
        "PoolFormerOnnxConfig",
    ]
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE			: List[str]				   =					["PoolFormerFeatureExtractor"]
 SCREAMING_SNAKE_CASE			: List[Any]				   =					["PoolFormerImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE			: List[Any]				   =					[
     "POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
     "PoolFormerForImageClassification",
     "PoolFormerModel",
     "PoolFormerPreTrainedModel",
 ]


if TYPE_CHECKING:
 from .configuration_poolformer import (
     POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
     PoolFormerConfig,
     PoolFormerOnnxConfig,
 )

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_poolformer import PoolFormerFeatureExtractor
  from .image_processing_poolformer import PoolFormerImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_poolformer import (
      POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      PoolFormerForImageClassification,
      PoolFormerModel,
      PoolFormerPreTrainedModel,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE			: str				   =					_LazyModule(__name__, globals()["__file__"], _import_structure)


