


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

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







@dataclass(frozen=UpperCAmelCase      )
class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			_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 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						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.'''     )
						UpperCamelCase__					=       copy.deepcopy(self     )
						UpperCamelCase__					=       self.label_schema.copy()
						UpperCamelCase__					=       features[self.label_column]
						UpperCamelCase__					=       label_schema
						return task_template







			@property
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						return {
						    self.image_column: "image",
						    self.label_column: "labels",
						}






from __future__ import annotations

import numpy as np
def        UpperCamelCase_(				_A   :list[float]  )->		Union[str, Any]:
			return np.maximum(0				,     _A  )


if __name__ == "__main__":
						print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]


