






"""simple docstring"""



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

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







@dataclass(frozen=snake_case__       )
class        lowercase__      (							snake_case__       ):
			_UpperCAmelCase		:str             =			field(default="image-classification",       metadata={"include_in_asdict_even_if_is_default": True}       )
			_UpperCAmelCase		:ClassVar[Features]             =			Features({"image": Image()}       )
			_UpperCAmelCase		:ClassVar[Features]             =			Features({"labels": ClassLabel}       )
			_UpperCAmelCase		:str             =			"image"
			_UpperCAmelCase		:str             =			"labels"


			def      UpperCAmelCase__						(				self					:  Optional[int]       ,	snake_case__					:  int ):
										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]       ,	snake_case__ ):
																	raise ValueError(F"""Column {self.label_column} is not a ClassLabel.""" )
										lowerCamelCase_	:							Union[str, Any]									=copy.deepcopy(self )
										lowerCamelCase_	:							Union[str, Any]									=self.label_schema.copy()
										lowerCamelCase_	:							Optional[Any]									=features[self.label_column]
										lowerCamelCase_	:							str									=label_schema
										return task_template


			@property
			def      UpperCAmelCase__						(				self					:  Optional[Any] ):
										return {
										    self.image_column: "image",
										    self.label_column: "labels",
										}











"""simple docstring"""



import warnings

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


A__	:    str			 = logging.get_logger(__name__)







class        lowercase__      (							snake_case__       ):


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



