


'''simple docstring'''

import re
from pathlib import Path
from unittest import TestCase

import pytest


@pytest.mark.integration
class       a__				( lowerCamelCase__      ):







    """simple docstring"""



    def 					_snake_case  (self       ,			__lowercase		):






          with open(__lowerCamelCase       ,			encoding='''utf-8'''		) as input_file:
                __lowerCAmelCase							       =				re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''		)
                __lowerCAmelCase							       =				input_file.read()
                __lowerCAmelCase							       =				regexp.search(__lowerCamelCase		)

          return match




    def 					_snake_case  (self       ,			__lowercase		):






          with open(__lowerCamelCase       ,			encoding='''utf-8'''		) as input_file:
                __lowerCAmelCase							       =				re.compile(R'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()'''       ,			re.DOTALL		)
                __lowerCAmelCase							       =				input_file.read()
                # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
                __lowerCAmelCase							       =				regexp.finditer(__lowerCamelCase		)

          __lowerCAmelCase							       =				[match for match in matches if match is not None and match.group(1		) is not None]
          return matches[0] if matches else None




    def 					_snake_case  (self		):
          __lowerCAmelCase							       =				Path('''./datasets'''		)
          __lowerCAmelCase							       =				list(dataset_paths.absolute().glob('''**/*.py'''		)		)

          for dataset in dataset_files:
                if self._no_encoding_on_file_open(str(__lowerCamelCase		)		):
                      raise AssertionError(F"""open(...) must use utf-8 encoding in {dataset}"""		)




    def 					_snake_case  (self		):
          __lowerCAmelCase							       =				Path('''./datasets'''		)
          __lowerCAmelCase							       =				list(dataset_paths.absolute().glob('''**/*.py'''		)		)

          for dataset in dataset_files:
                if self._no_print_statements(str(__lowerCamelCase		)		):
                      raise AssertionError(F"""print statement found in {dataset}. Use datasets.logger/logging instead."""		)





'''simple docstring'''

from PIL import Image

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):

						def brightness(lowerCamelCase) -> float:
												return 1_2_8 + level + (c - 1_2_8)

						if not -2_55.0 <= level <= 2_55.0:
												raise ValueError('''level must be between -255.0 (black) and 255.0 (white)''')
						return img.point(lowerCamelCase)


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

