



from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream

class   UpperCAmelCase_    (  __snake_case			):

						'''simple docstring'''




						def __init__(       self ,				_A ,				_A = None ,				_A = None ,				_A = False ,				_A = False ,				_A = None ,				_A = None ,				**_A ,				):







													'''simple docstring'''

													super().__init__(
													    features=A__ ,				cache_dir=A__ ,				keep_in_memory=A__ ,				streaming=A__ ,				num_proc=A__ ,				**A__ ,				)
													__SCREAMING_SNAKE_CASE										=   Generator(
													    cache_dir=A__ ,				features=A__ ,				generator=A__ ,				gen_kwargs=A__ ,				**A__ ,				)






						def 			_A      (       self						):







													'''simple docstring'''

													if self.streaming:
																				__SCREAMING_SNAKE_CASE										=   self.builder.as_streaming_dataset(split='train'						)
													# Build regular (map-style) dataset
													else:
																				__SCREAMING_SNAKE_CASE										=   None
																				__SCREAMING_SNAKE_CASE										=   None
																				__SCREAMING_SNAKE_CASE										=   None
																				__SCREAMING_SNAKE_CASE										=   None

																				self.builder.download_and_prepare(
																				    download_config=A__ ,				download_mode=A__ ,				verification_mode=A__ ,				base_path=A__ ,				num_proc=self.num_proc ,				)
																				__SCREAMING_SNAKE_CASE										=   self.builder.as_dataset(
																				    split='train' ,				verification_mode=A__ ,				in_memory=self.keep_in_memory						)
													return dataset














from PIL import Image



def  a__ (__lowercase							:Image					,  __lowercase							:float   )		-> Image:

				def brightness(__lowercase							:int   ) -> float:
								return 128 + level + (c - 128)

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


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



