




'''simple docstring'''
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		Optional[int]:
			# if the collection is empty, returns empty
			if collection == []:
						return []

			# get some information about the collection
			A_									= len(SCREAMING_SNAKE_CASE_     )
			A_									= max(SCREAMING_SNAKE_CASE_     )
			A_									= min(SCREAMING_SNAKE_CASE_     )

			# create the counting array
			A_									= coll_max + 1 - coll_min
			A_									= [0] * counting_arr_length

			# count how much a number appears in the collection
			for number in collection:
						counting_arr[number - coll_min] += 1

			# sum each position with it's predecessors. now, counting_arr[i] tells
			# us how many elements <= i has in the collection
			for i in range(1       ,SCREAMING_SNAKE_CASE_     ):
						A_									= counting_arr[i] + counting_arr[i - 1]

			# create the output collection
			A_									= [0] * coll_len

			# place the elements in the output, respecting the original order (stable
			# sort) from end to begin, updating counting_arr
			for i in reversed(range(0       ,SCREAMING_SNAKE_CASE_     )     ):
						A_									= collection[i]
						counting_arr[collection[i] - coll_min] -= 1

			return ordered





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		Any:
			return "".join([chr(SCREAMING_SNAKE_CASE_     ) for i in counting_sort([ord(SCREAMING_SNAKE_CASE_     ) for c in string]     )]     )


if __name__ == "__main__":
							# Test string sort
							assert counting_sort_string("thisisthestring") == "eghhiiinrsssttt"

							_SCREAMING_SNAKE_CASE			=						input("Enter numbers separated by a comma:\n").strip()
							_SCREAMING_SNAKE_CASE			=						[int(item) for item in user_input.split(",")]
							print(counting_sort(unsorted))










'''simple docstring'''
from PIL import Image





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		Image:

			def brightness(SCREAMING_SNAKE_CASE_     ) -> 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(SCREAMING_SNAKE_CASE_     )


if __name__ == "__main__":
							# Load image
							with Image.open("image_data/lena.jpg") as img:
														# Change brightness to 100
														_SCREAMING_SNAKE_CASE			=						change_brightness(img, 1_00)
														brigt_img.save("image_data/lena_brightness.png", format="png")




