


from random import randint, random






def 						a__			(				A__,      A__,      A__,      A__ = False,      A__ = False,      A__ = 5,      ):
			SCREAMING_SNAKE_CASE_		:     Dict					=					[[-1] * number_of_cells]  # Create a highway without any car
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					0
			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					max(A__,      0				)
			while i < number_of_cells:
						SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					(
						    randint(0,      A__				) 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__			(				A__,      A__				):
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					0
			SCREAMING_SNAKE_CASE_		:     List[Any]					=					highway_now[car_index + 1 :]
			for cell in range(len(A__				)				):  # 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(A__,      -1				)






def 						a__			(				A__,      A__,      A__				):
			SCREAMING_SNAKE_CASE_		:     Any					=					len(A__				)
			# Beforce calculations, the highway is empty
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					[-1] * number_of_cells

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






def 						a__			(				A__,      A__,      A__,      A__				):
			SCREAMING_SNAKE_CASE_		:     Any					=					len(highway[0]				)

			for i in range(A__				):
						SCREAMING_SNAKE_CASE_		:     List[Any]					=					update(highway[i],      A__,      A__				)
						SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					[-1] * number_of_cells

						for car_index in range(A__				):
									SCREAMING_SNAKE_CASE_		:     List[Any]					=					next_speeds_calculated[car_index]
									if speed != -1:
												# Change the position based on the speed (with % to create the loop)
												SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					(car_index + speed) % number_of_cells
												# Commit the change of position
												SCREAMING_SNAKE_CASE_		:     int					=					speed
						highway.append(A__				)

			return highway


if __name__ == "__main__":
				import doctest

				doctest.testmod()









from __future__ import annotations






def 						a__			(				A__,      A__ = None,      A__ = None				):
			if start is None:
						SCREAMING_SNAKE_CASE_		:     List[str]					=					0

			if end is None:
						SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					len(A__				) - 1

			if start >= end:
						return

			SCREAMING_SNAKE_CASE_		:     Tuple					=					(start + end) // 2

			slowsort(A__,      A__,      A__				)
			slowsort(A__,      mid + 1,      A__				)

			if sequence[end] < sequence[mid]:
						SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					sequence[mid], sequence[end]

			slowsort(A__,      A__,      end - 1				)


if __name__ == "__main__":
				from doctest import testmod

				testmod()





