



'''simple docstring'''





from ..utils import DummyObject, requires_backends



class  snake_case__						(    metaclass=SCREAMING_SNAKE_CASE_				):
 A__				= ['''transformers''', '''torch''', '''note_seq''']
 def __init__(   self						:							str      ,     *__a						:							str      ,     **__a						:							Dict  )      ->   Tuple:







       '''simple docstring'''
       requires_backends(self      ,     ['transformers', 'torch', 'note_seq']  )
 @classmethod
 def A_   (   cls						:							Any      ,     *__a						:							int      ,     **__a						:							List[Any]  )      ->   Union[str, Any]:







       '''simple docstring'''
       requires_backends(cls      ,     ['transformers', 'torch', 'note_seq']  )





 @classmethod
 def A_   (   cls						:							List[Any]      ,     *__a						:							Dict      ,     **__a						:							Any  )      ->   Any:







       '''simple docstring'''
       requires_backends(cls      ,     ['transformers', 'torch', 'note_seq']  )








'''simple docstring'''





from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A__    :   List[str]           =					{
    '''configuration_autoformer''': [
        '''AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''AutoformerConfig''',
    ],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A__    :   Optional[Any]           =					[
        '''AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''AutoformerForPrediction''',
        '''AutoformerModel''',
        '''AutoformerPreTrainedModel''',
    ]


if TYPE_CHECKING:
    from .configuration_autoformer import (
        AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AutoformerConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_autoformer import (
            AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            AutoformerForPrediction,
            AutoformerModel,
            AutoformerPreTrainedModel,
        )

else:
    import sys

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



