



from ..utils import DummyObject, requires_backends







class 							a_  (		metaclass=_snake_case				):
						UpperCamelCase__      :						Dict				       =["torch", "transformers", "invisible_watermark"]

						def __init__(    self	:Dict   ,						*_lowercase	:Any   ,						**_lowercase	:str)		->					Dict:
												requires_backends(self   ,						['''torch''', '''transformers''', '''invisible_watermark'''])

						@classmethod
						def 	__a       (    cls	:Optional[Any]   ,						*_lowercase	:List[Any]   ,						**_lowercase	:List[Any])		->					Optional[Any]:
												requires_backends(cls   ,						['''torch''', '''transformers''', '''invisible_watermark'''])




						@classmethod
						def 	__a       (    cls	:Union[str, Any]   ,						*_lowercase	:Optional[int]   ,						**_lowercase	:Dict)		->					List[Any]:
												requires_backends(cls   ,						['''torch''', '''transformers''', '''invisible_watermark'''])







class 							a_  (		metaclass=_snake_case				):
						UpperCamelCase__      :						List[str]				       =["torch", "transformers", "invisible_watermark"]

						def __init__(    self	:Dict   ,						*_lowercase	:Any   ,						**_lowercase	:Tuple)		->					List[Any]:
												requires_backends(self   ,						['''torch''', '''transformers''', '''invisible_watermark'''])

						@classmethod
						def 	__a       (    cls	:Dict   ,						*_lowercase	:Tuple   ,						**_lowercase	:Tuple)		->					List[Any]:
												requires_backends(cls   ,						['''torch''', '''transformers''', '''invisible_watermark'''])




						@classmethod
						def 	__a       (    cls	:Any   ,						*_lowercase	:str   ,						**_lowercase	:Optional[int])		->					Optional[Any]:
												requires_backends(cls   ,						['''torch''', '''transformers''', '''invisible_watermark'''])










from dataclasses import dataclass
from typing import Callable, Optional

import datasets







@dataclass
class 							a_  (		datasets.BuilderConfig				):
						UpperCamelCase__      :						Optional[Callable]				       =None
						UpperCamelCase__      :						Optional[dict]				       =None
						UpperCamelCase__      :						Optional[datasets.Features]				       =None

						def 	__a       (    self	:List[str])		->					List[str]:
												assert self.generator is not None, "generator must be specified"

												if self.gen_kwargs is None:
																		UpperCAmelCase_     							=     {}







class 							a_  (		datasets.GeneratorBasedBuilder				):
						UpperCamelCase__      :						List[str]				       =GeneratorConfig

						def 	__a       (    self	:List[str])		->					List[Any]:
												return datasets.DatasetInfo(features=self.config.features)

						def 	__a       (    self	:Optional[Any]   ,						_lowercase	:List[str])		->					Optional[Any]:
												return [datasets.SplitGenerator(name=datasets.Split.TRAIN   ,						gen_kwargs=self.config.gen_kwargs)]




						def 	__a       (    self	:Optional[int]   ,						**_lowercase	:str)		->					Union[str, Any]:
												for idx, ex in enumerate(self.config.generator(**_lowercase)):
																		yield idx, ex





