


'''simple docstring'''
from ..utils import DummyObject, requires_backends

class     _lowerCamelCase       (     metaclass=snake_case_					):




 '''simple docstring'''
 __lowercase					:		List[Any]     				=    ['''flax''', '''transformers''']


 def __init__(   self   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(self   ,   ['flax', 'transformers']    )


 @classmethod
 def 			snake_case__ (   cls   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(cls   ,   ['flax', 'transformers']    )







 @classmethod
 def 			snake_case__ (   cls   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(cls   ,   ['flax', 'transformers']    )


class     _lowerCamelCase       (     metaclass=snake_case_					):




 '''simple docstring'''
 __lowercase					:		Optional[int]     				=    ['''flax''', '''transformers''']


 def __init__(   self   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(self   ,   ['flax', 'transformers']    )


 @classmethod
 def 			snake_case__ (   cls   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(cls   ,   ['flax', 'transformers']    )







 @classmethod
 def 			snake_case__ (   cls   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(cls   ,   ['flax', 'transformers']    )


class     _lowerCamelCase       (     metaclass=snake_case_					):




 '''simple docstring'''
 __lowercase					:		List[str]     				=    ['''flax''', '''transformers''']


 def __init__(   self   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(self   ,   ['flax', 'transformers']    )


 @classmethod
 def 			snake_case__ (   cls   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(cls   ,   ['flax', 'transformers']    )







 @classmethod
 def 			snake_case__ (   cls   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(cls   ,   ['flax', 'transformers']    )


class     _lowerCamelCase       (     metaclass=snake_case_					):




 '''simple docstring'''
 __lowercase					:		Union[str, Any]     				=    ['''flax''', '''transformers''']


 def __init__(   self   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(self   ,   ['flax', 'transformers']    )


 @classmethod
 def 			snake_case__ (   cls   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(cls   ,   ['flax', 'transformers']    )







 @classmethod
 def 			snake_case__ (   cls   ,   *__lowercase   ,   **__lowercase    ):

  """simple docstring"""







  requires_backends(cls   ,   ['flax', 'transformers']    )










'''simple docstring'''
from typing import TYPE_CHECKING

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


UpperCAmelCase_			:  Optional[Any]										=   {
    'configuration_transfo_xl': ['TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TransfoXLConfig'],
    'tokenization_transfo_xl': ['TransfoXLCorpus', 'TransfoXLTokenizer'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase_			:  Any										=   [
     'TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST',
     'AdaptiveEmbedding',
     'TransfoXLForSequenceClassification',
     'TransfoXLLMHeadModel',
     'TransfoXLModel',
     'TransfoXLPreTrainedModel',
     'load_tf_weights_in_transfo_xl',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase_			:  Optional[Any]										=   [
     'TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFAdaptiveEmbedding',
     'TFTransfoXLForSequenceClassification',
     'TFTransfoXLLMHeadModel',
     'TFTransfoXLMainLayer',
     'TFTransfoXLModel',
     'TFTransfoXLPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_transfo_xl import TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, TransfoXLConfig
 from .tokenization_transfo_xl import TransfoXLCorpus, TransfoXLTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_transfo_xl import (
      TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
      AdaptiveEmbedding,
      TransfoXLForSequenceClassification,
      TransfoXLLMHeadModel,
      TransfoXLModel,
      TransfoXLPreTrainedModel,
      load_tf_weights_in_transfo_xl,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_transfo_xl import (
      TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFAdaptiveEmbedding,
      TFTransfoXLForSequenceClassification,
      TFTransfoXLLMHeadModel,
      TFTransfoXLMainLayer,
      TFTransfoXLModel,
      TFTransfoXLPreTrainedModel,
  )

else:
 import sys

 UpperCAmelCase_			:  Optional[int]										=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






