





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

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate







@dataclass(frozen=__lowerCamelCase			)
class     __snake_case       (							__lowerCamelCase			):





       '''simple docstring'''







       lowerCAmelCase__      		=     field(default="""audio-classification"""   ,			metadata={"""include_in_asdict_even_if_is_default""": True}			)
       lowerCAmelCase__      		=     Features({"""audio""": Audio()}			)
       lowerCAmelCase__      		=     Features({"""labels""": ClassLabel}			)
       lowerCAmelCase__      		=     "audio"
       lowerCAmelCase__      		=     "labels"




       def 							UpperCAmelCase__ (  self :    Optional[int]							,				A :    List[str]		):
         if self.label_column not in features:
           raise ValueError(f'''Column {self.label_column} is not present in features.'''		)
         if not isinstance(features[self.label_column]							,				A		):
           raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''		)
         __snake_case:						Tuple   =						copy.deepcopy(self		)
         __snake_case:						Optional[int]   =						self.label_schema.copy()
         __snake_case:						Dict   =						features[self.label_column]
         __snake_case:						Dict   =						label_schema
         return task_template






       @property
       def 							UpperCAmelCase__ (  self :    Tuple		):
         return {
             self.audio_column: "audio",
             self.label_column: "labels",
         }













import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


__UpperCAmelCase       :   Tuple				       =							logging.get_logger(__name__)







class     __snake_case       (							__lowerCamelCase			):





       '''simple docstring'''







       def __init__(  self :    Union[str, Any]							,				*A :    Union[str, Any]							,				**A :    Optional[int]		):
         warnings.warn(
             """The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
             """ Please use PerceiverImageProcessor instead."""							,				A							,				)
         super().__init__(*A							,				**A		)






