

import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


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



class 					A__(A__       ):
						"""simple docstring"""






						def __init__(						self     ,			*_lowercase     ,			**_lowercase						)    ->   Dict:
									warnings.warn(
									    """The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
									    """ Please use MobileNetV2ImageProcessor instead."""     ,			_lowercase     ,			)
									super().__init__(*_lowercase     ,			**_lowercase						)





from dataclasses import dataclass
from typing import Callable, Optional

import datasets



@dataclass
class 					A__(datasets.BuilderConfig       ):
						"""simple docstring"""






						_A						:							Optional[Callable]									= None
						_A						:							Optional[dict]									= None
						_A						:							Optional[datasets.Features]									= None





						def  UpperCamelCase__				(						self						)    ->   Tuple:
									assert self.generator is not None, "generator must be specified"

									if self.gen_kwargs is None:
												a_	:	Tuple          =   {}







class 					A__(datasets.GeneratorBasedBuilder       ):
						"""simple docstring"""






						_A						:							Dict									= GeneratorConfig





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





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





						def  UpperCamelCase__				(						self     ,			**_lowercase						)    ->   Tuple:
									for idx, ex in enumerate(self.config.generator(**_lowercase						)						):
												yield idx, ex


