




from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


	'''simple docstring'''







	def __init__(							self  :		Union[str, Any]    ,    _lowerCAmelCase  :		Callable    ,    _lowerCAmelCase  :		Optional[Features] = None    ,    _lowerCAmelCase  :		str = None    ,    _lowerCAmelCase  :		bool = False    ,    _lowerCAmelCase  :		bool = False    ,    _lowerCAmelCase  :		Optional[dict] = None    ,    _lowerCAmelCase  :		Optional[int] = None    ,    **_lowerCAmelCase  :		List[str]    ,    ):
							super().__init__(
							    features=_lowerCAmelCase    ,    cache_dir=_lowerCAmelCase    ,    keep_in_memory=_lowerCAmelCase    ,    streaming=_lowerCAmelCase    ,    num_proc=_lowerCAmelCase    ,    **_lowerCAmelCase    ,    )
							SCREAMING_SNAKE_CASE_     						=      Generator(
							    cache_dir=_lowerCAmelCase    ,    features=_lowerCAmelCase    ,    generator=_lowerCAmelCase    ,    gen_kwargs=_lowerCAmelCase    ,    **_lowerCAmelCase    ,    )




	def 				lowerCAmelCase_  (							self  :		Optional[Any]						):

							if self.streaming:
													SCREAMING_SNAKE_CASE_     						=      self.builder.as_streaming_dataset(split='train'						)
							# Build regular (map-style) dataset
							else:
													SCREAMING_SNAKE_CASE_     						=      None
													SCREAMING_SNAKE_CASE_     						=      None
													SCREAMING_SNAKE_CASE_     						=      None
													SCREAMING_SNAKE_CASE_     						=      None

													self.builder.download_and_prepare(
													    download_config=_lowerCAmelCase    ,    download_mode=_lowerCAmelCase    ,    verification_mode=_lowerCAmelCase    ,    base_path=_lowerCAmelCase    ,    num_proc=self.num_proc    ,    )
													SCREAMING_SNAKE_CASE_     						=      self.builder.as_dataset(
													    split='train'    ,    verification_mode=_lowerCAmelCase    ,    in_memory=self.keep_in_memory						)
							return dataset





from abc import ABC, abstractmethod
from argparse import ArgumentParser





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 @staticmethod
 @abstractmethod
 def 				lowerCAmelCase_  (							_lowerCAmelCase  :		ArgumentParser						):
       raise NotImplementedError()




 @abstractmethod
 def 				lowerCAmelCase_  (							self  :		Dict						):
       raise NotImplementedError()