"""simple docstring"""






from random import randint, random



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase = False					,			lowerCamelCase = False					,			lowerCamelCase = 5					,			):
				UpperCAmelCase__             =							[[-1] * number_of_cells]  # Create a highway without any car
				UpperCAmelCase__             =							0
				UpperCAmelCase__             =							max(lowerCamelCase					,			0       )
				while i < number_of_cells:
								UpperCAmelCase__             =							(
								    randint(0					,			lowerCamelCase       ) if random_speed else initial_speed
								)  # Place the cars
								i += (
								    randint(1					,			max_speed * 2       ) if random_frequency else frequency
								)  # Arbitrary number, may need tuning
				return highway



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							0
				UpperCAmelCase__             =							highway_now[car_index + 1 :]
				for cell in range(len(lowerCamelCase       )       ):  # May need a better name for this
								if cells[cell] != -1:  # If the cell is not empty then
												return distance  # we have the distance we wanted
								distance += 1
				# Here if the car is near the end of the highway
				return distance + get_distance(lowerCamelCase					,			-1       )



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							len(lowerCamelCase       )
				# Beforce calculations, the highway is empty
				UpperCAmelCase__             =							[-1] * number_of_cells

				for car_index in range(lowerCamelCase       ):
								if highway_now[car_index] != -1:
												# Add 1 to the current speed of the car and cap the speed
												UpperCAmelCase__             =							min(highway_now[car_index] + 1					,			lowerCamelCase       )
												# Number of empty cell before the next car
												UpperCAmelCase__             =							get_distance(lowerCamelCase					,			lowerCamelCase       ) - 1
												# We can't have the car causing an accident
												UpperCAmelCase__             =							min(next_highway[car_index]					,			lowerCamelCase       )
												if random() < probability:
																# Randomly, a driver will slow down
																UpperCAmelCase__             =							max(next_highway[car_index] - 1					,			0       )
				return next_highway



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							len(highway[0]       )

				for i in range(lowerCamelCase       ):
								UpperCAmelCase__             =							update(highway[i]					,			lowerCamelCase					,			lowerCamelCase       )
								UpperCAmelCase__             =							[-1] * number_of_cells

								for car_index in range(lowerCamelCase       ):
												UpperCAmelCase__             =							next_speeds_calculated[car_index]
												if speed != -1:
																# Change the position based on the speed (with % to create the loop)
																UpperCAmelCase__             =							(car_index + speed) % number_of_cells
																# Commit the change of position
																UpperCAmelCase__             =							speed
								highway.append(lowerCamelCase       )

				return highway


if __name__ == "__main__":
						import doctest

						doctest.testmod()




"""simple docstring"""






from PIL import Image



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							(2_5_9 * (level + 2_5_5)) / (2_5_5 * (2_5_9 - level))

				def contrast(lowerCamelCase       ) -> int:
								return int(1_2_8 + factor * (c - 1_2_8)       )

				return img.point(lowerCamelCase       )


if __name__ == "__main__":
						# Load image
						with Image.open('image_data/lena.jpg') as img:
												# Change contrast to 170
												lowerCAmelCase__  :  Any						     =	change_contrast(img, 170)
												cont_img.save('image_data/lena_high_contrast.png', format='png')



