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

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







@dataclass(frozen=SCREAMING_SNAKE_CASE_   )
class  UpperCamelCase__		(    SCREAMING_SNAKE_CASE_   ):







	'''simple docstring'''
	_lowerCAmelCase							       =				field(default="image-classification",			metadata={"include_in_asdict_even_if_is_default": True}   )
	_lowerCAmelCase							       =				Features({"image": Image()}   )
	_lowerCAmelCase							       =				Features({"labels": ClassLabel}   )
	_lowerCAmelCase							       =				"image"
	_lowerCAmelCase							       =				"labels"





	def   __snake_case				(			self				,       UpperCamelCase__		):
					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]				,       UpperCamelCase__		):
									raise ValueError(F"Column {self.label_column} is not a ClassLabel."		)
					A__  :	Optional[Any]         =							copy.deepcopy(self		)
					A__  :	Tuple         =							self.label_schema.copy()
					A__  :	Any         =							features[self.label_column]
					A__  :	Dict         =							label_schema
					return task_template





	@property
	def   __snake_case				(			self		):
					return {
					    self.image_column: "image",
					    self.label_column: "labels",
					}

from PIL import Image

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Image							,						__UpperCamelCase :						float       ) ->       Image:

				"""simple docstring"""







				def brightness(__UpperCamelCase :						int       ) -> float:
								return 1_28 + level + (c - 1_28)

				if not -2_5_5.0 <= level <= 2_5_5.0:
								raise ValueError('''level must be between -255.0 (black) and 255.0 (white)'''       )
				return img.point(__UpperCamelCase       )


if __name__ == "__main__":
					# Load image
					with Image.open('image_data/lena.jpg') as img:
										# Change brightness to 100
										_SCREAMING_SNAKE_CASE    :      Dict          =			change_brightness(img, 1_0_0)
										brigt_img.save('image_data/lena_brightness.png', format='png')