





from ..utils import DummyObject, requires_backends
class     SCREAMING_SNAKE_CASE       (metaclass=UpperCAmelCase				):
			_UpperCamelCase   :		str			 =	['torch', 'torchsde']


			def __init__(   self      :    List[Any]      ,					*a      :    Any      ,					**a      :    Any	)->       Union[str, Any]:





					"""simple docstring"""







					requires_backends(self      ,					['torch', 'torchsde']	)


			@classmethod
			def 	SCREAMING_SNAKE_CASE_							(   cls      :    Optional[Any]      ,					*a      :    str      ,					**a      :    Optional[Any]	)->       List[str]:





					"""simple docstring"""







					requires_backends(cls      ,					['torch', 'torchsde']	)


			@classmethod
			def 	SCREAMING_SNAKE_CASE_							(   cls      :    Optional[Any]      ,					*a      :    Union[str, Any]      ,					**a      :    int	)->       Dict:





					"""simple docstring"""







					requires_backends(cls      ,					['torch', 'torchsde']	)









from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=UpperCAmelCase				)
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   _UpperCamelCase   :		str			 =	field(default='language-modeling'      ,     metadata={'include_in_asdict_even_if_is_default': True}				)

   _UpperCamelCase   :		ClassVar[Features]			 =	Features({'text': Value('string'				)}				)
   _UpperCamelCase   :		ClassVar[Features]			 =	Features({}				)
   _UpperCamelCase   :		str			 =	"text"


   @property
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       Dict[str, str]:





     """simple docstring"""







     return {self.text_column: "text"}


