






"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


_SCREAMING_SNAKE_CASE :    Optional[Any]    =						logging.get_logger(__name__)






class 					a						( UpperCamelCase_		):






				def __init__(	self					:							List[Any]	,						*__SCREAMING_SNAKE_CASE					:							int	,						**__SCREAMING_SNAKE_CASE					:							Any )					->		None:
						warnings.warn(
						    'The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
						    ' Please use ConvNextImageProcessor instead.'	,						__SCREAMING_SNAKE_CASE	,						)
						super().__init__(*__SCREAMING_SNAKE_CASE	,						**__SCREAMING_SNAKE_CASE )












"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_SCREAMING_SNAKE_CASE :    Union[str, Any]    =						{
    '''configuration_decision_transformer''': [
        '''DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''DecisionTransformerConfig''',
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _SCREAMING_SNAKE_CASE :    Optional[Any]    =						[
      '''DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''DecisionTransformerGPT2Model''',
      '''DecisionTransformerGPT2PreTrainedModel''',
      '''DecisionTransformerModel''',
      '''DecisionTransformerPreTrainedModel''',
  ]


if TYPE_CHECKING:
  from .configuration_decision_transformer import (
      DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      DecisionTransformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_decision_transformer import (
        DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        DecisionTransformerGPTaModel,
        DecisionTransformerGPTaPreTrainedModel,
        DecisionTransformerModel,
        DecisionTransformerPreTrainedModel,
    )


else:
  import sys

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




