N cars are going to the same destination along a one lane road.  The destination is target miles away.
Each car i has a constant speed speed[i] (in miles per hour), and initial position position[i] miles towards the target along the road.
A car can never pass another car ahead of it, but it can catch up to it, and drive bumper to bumper at the same speed.
The distance between these two cars is ignored - they are assumed to have the same position.
A car fleet is some non-empty set of cars driving at the same position and same speed.  Note that a single car is also a car fleet.
If a car catches up to a car fleet right at the destination point, it will still be considered as one car fleet.

How many car fleets will arrive at the destination?
 
Example 1:
Input: target = 12, position = [10,8,0,5,3], speed = [2,4,1,1,3]
Output: 3
Explanation:
The cars starting at 10 and 8 become a fleet, meeting each other at 12.
The car starting at 0 doesn't catch up to any other car, so it is a fleet by itself.
The cars starting at 5 and 3 become a fleet, meeting each other at 6.
Note that no other cars meet these fleets before the destination, so the answer is 3.


Note:

0 <= N <= 10 ^ 4
0 < target <= 10 ^ 6
0 < speed[i] <= 10 ^ 6
0 <= position[i] < target
All initial positions are different.

Difficulty: MEDIUM
Tags: Sorting

Data structures
Skill types: Sorting

Data structures

Starter code:
class Solution:
    def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
        

Solutions:
class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		if not position:
			return 0
		posToSpeed = {position[i]: speed[i] for i in range(len(position))}
		position.sort()
		leaderTime = (target - position[-1]) / posToSpeed[position[-1]]
		currGroups = 1
		for i in range(len(position) - 2, -1, -1):
			currTime = (target - position[i]) / posToSpeed[position[i]]
			if currTime > leaderTime:
				currGroups += 1
				leaderTime = currTime
		return currGroups


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		if not position:
			return 0
		arr = list(zip(position, speed))
		arr.sort(reverse=True)
		ans = 1
		reach = (target - arr[0][0]) / arr[0][1]
		for (p, s) in arr[1:]:
			curr = (target - p) / s
			if curr > reach:
				ans += 1
				reach = curr
		return ans


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		cars = sorted(zip(position, speed))
		times = [float(target - p) / s for (p, s) in cars]
		ans = 0
		while len(times) > 1:
			lead = times.pop()
			if lead < times[-1]:
				ans += 1
			else:
				times[-1] = lead
		return ans + bool(times)


class Solution:

	def check(self, target, p1, s1, p2, s2):
		if p1 == target and p2 == target:
			return True
		if p1 == target or p2 == target:
			return False
		d1 = float(target - p1)
		d2 = float(target - p2)
		if d1 / float(s1) <= d2 / float(s2):
			return True
		return False

	def solve(self, target, pos, speed):
		arr = []
		for i in range(len(pos)):
			p = pos[i]
			s = speed[i]
			arr.append((p, s))
		arr = sorted(arr)
		counter = 0
		ln = len(arr)
		i = ln - 1
		while i >= 0:
			(p2, s2) = arr[i]
			counter += 1
			j = i - 1
			while j >= 0:
				(p1, s1) = arr[j]
				if not self.check(target, p1, s1, p2, s2):
					break
				j -= 1
			i = j
		return counter

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		return self.solve(target, position, speed)


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		pos_speed = sorted(zip(position, speed))
		times = [(target - p) / s * 1.0 for (p, s) in pos_speed]
		res = 0
		cur = 0
		for t in times[::-1]:
			if t > cur:
				res += 1
				cur = t
		return res


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		times = []
		for p in range(len(position)):
			times.append([(target - position[p]) / speed[p], position[p]])
		times.sort()
		maxTime = 0
		res = 0
		for t in range(len(times) - 1, -1, -1):
			if times[t][1] >= maxTime:
				res += 1
			maxTime = max(times[t][1], maxTime)
		return res


class Solution(object):

	def carFleet(self, target, position, speed):
		cars = sorted(zip(position, speed))
		times = [(target - p) / s for (p, s) in cars]
		ans = 0
		print(times)
		while len(times) > 1:
			lead = times.pop()
			if lead < times[-1]:
				ans += 1
			else:
				times[-1] = lead
		return ans + bool(times)


class Solution:

	def carFleet(self, target, position, speed) -> int:
		(ans, time) = (0, sorted([[position[i], (target - position[i]) / speed[i]] for i in range(len(position))], reverse=True) + [[-1, float('inf')]])
		for i in range(1, len(time)):
			if time[i - 1][1] < time[i][1]:
				ans += 1
			else:
				time[i][1] = time[i - 1][1]
		return ans


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		cars = [(pos, speed) for (pos, speed) in zip(position, speed)]
		cars.sort()
		last_t = -1
		curr_t = 0
		fleets = 0
		for (pos, speed) in reversed(cars):
			curr_t = (target - pos) / speed
			if curr_t > last_t:
				fleets += 1
				last_t = curr_t
		return fleets


import collections
import numpy as np

class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		cars = sorted(range(len(position)), key=lambda i: position[i])

		def calc_finish_time(car):
			return (target - position[cars[car]]) / speed[cars[car]]
		fleets = 0
		next_finish_time = -1
		for car in range(len(cars) - 1, -1, -1):
			finish_time = max(calc_finish_time(car), next_finish_time)
			if finish_time != next_finish_time:
				fleets += 1
			next_finish_time = finish_time
		return fleets


import collections
import numpy as np

class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		tem = list(zip(position, speed))
		tem = sorted(tem, key=lambda x: x[0])
		count = 0
		stack = [(target - tem[i][0]) / tem[i][1] for i in range(len(tem))]
		stack = stack[::-1]
		cur = 0
		for j in range(len(stack)):
			if stack[j] > cur:
				count += 1
				cur = stack[j]
		return count


import collections

class Solution:

	def carFleet(self, D: int, P: List[int], S: List[int]) -> int:
		T = [(D - P[i]) / S[i] for i in range(len(P))]
		sortedIdx = sorted(list(range(len(P))), key=lambda x: P[x])
		print(sortedIdx)
		stack = []
		for i in sortedIdx:
			while stack and T[stack[-1]] <= T[i]:
				stack.pop()
			stack.append(i)
			print(stack)
		return len(stack)


import collections
import numpy as np

class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		if len(position) < 1:
			return 0
		d = dict(zip(target - np.array(position), speed))
		ord_d = collections.OrderedDict(sorted(d.items()))
		count = 0
		r = -1
		for (dist, speed) in ord_d.items():
			t = dist / speed
			if t > r:
				count += 1
				r = t
		return count


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		N = len(position)
		cars = sorted(((s, p) for (s, p) in zip(speed, position)))
		seen = set()
		res = 0
		for i in range(N):
			if i in seen:
				continue
			seen.add(i)
			res += 1
			for j in range(i + 1, N):
				if j in seen or cars[j][0] == cars[i][0]:
					continue
				t = (cars[i][1] - cars[j][1]) / (cars[j][0] - cars[i][0])
				if t < 0 or t * cars[i][0] + cars[i][1] > target:
					continue
				seen.add(j)
		return res


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		ind = sorted(range(len(position)), key=lambda x: position[x])
		print(ind)
		r = len(speed) - 1
		fleet_num = 0
		while r >= 0:
			time = (target - position[ind[r]]) / speed[ind[r]]
			position[ind[r]] = target
			r = r - 1
			while r >= 0 and position[ind[r]] + speed[ind[r]] * time >= target:
				position[ind[r]] = target
				r = r - 1
			fleet_num += 1
			for i in range(r + 1, -1):
				position[ind[i]] = min(position[ind[i]] + time * speed[ind[i]], position[ind[i + 1]])
		return fleet_num


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		if len(position) < 1:
			return 0
		acc = [(position[i], speed[i]) for i in range(len(position))]
		acc = sorted(acc, key=lambda x: x[0])
		fleets = 1
		predecessor_arrival = (target - acc[-1][0]) / acc[-1][1]
		for i in range(len(acc) - 2, -1, -1):
			arrival = (target - acc[i][0]) / acc[i][1]
			if arrival > predecessor_arrival:
				fleets += 1
				predecessor_arrival = arrival
		return fleets
if True:
	print(Solution().carFleet(10, [0, 4, 2], [2, 1, 3]))


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		time = [(target - p) / s for (p, s) in sorted(zip(position, speed), key=lambda x: x[0])]
		fleets = 0
		last_arrive = 0
		for t in time[::-1]:
			if t > last_arrive:
				last_arrive = t
				fleets += 1
		return fleets


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		times = [(target - pos) / s for (pos, s) in sorted(zip(position, speed))]
		cur = ans = 0
		for time in times[::-1]:
			if time > cur:
				ans += 1
				cur = time
		return ans


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		if len(position) == 0:
			return 0
		time_required = []
		for i in range(len(position)):
			time_required.append((target - position[i]) / speed[i])
		time_required = [x for (_, x) in sorted(zip(position, time_required), reverse=True)]
		print(time_required)
		count = 1
		previous_time = time_required[0]
		for i in range(1, len(time_required)):
			if time_required[i] > previous_time:
				count += 1
				previous_time = time_required[i]
		return count


class Solution:

	def carFleet(self, target: int, P: List[int], S: List[int]) -> int:
		n = len(P)
		l = []
		for i in range(n):
			l.append((P[i], S[i]))
		l.sort(reverse=True)
		c = 0
		pt = -1
		for (i, j) in l:
			ct = (target - i) / j
			if ct > pt:
				c += 1
				pt = ct
		return c


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		if len(position) == 0:
			return 0
		pos_spd = sorted(zip(position, speed))
		position = [x for (x, y) in pos_spd]
		speed = [y for (x, y) in pos_spd]
		time = list([(target - x[0]) / x[1] for x in pos_spd])
		idx = []
		count = 1
		temp = time[-1]
		for val in time[::-1]:
			if val > temp:
				count += 1
				temp = val
		return count


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		stack = []
		for (pos, vel) in sorted(zip(position, speed))[::-1]:
			dist = target - pos
			if not stack:
				stack.append(dist / vel)
			elif dist / vel > stack[-1]:
				stack.append(dist / vel)
		return len(stack)


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		cars = sorted(zip(position, speed))
		times = [(target - p) / s for (p, s) in cars]
		res = 0
		while len(times) >= 2:
			lead = times.pop()
			if times[-1] > lead:
				res += 1
			else:
				times[-1] = lead
		return res + len(times)


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		cars = []
		for i in range(len(speed)):
			cars.append([position[i], speed[i], (target - position[i]) / speed[i]])
		cars.sort(key=lambda x: x[0])
		maxs = []
		for car in cars[::-1]:
			if not maxs:
				maxs.insert(0, car[2])
			else:
				maxs.insert(0, max(maxs[0], car[2]))
		print(maxs)
		fleets = {}
		fleetCount = 0
		for (i, car) in enumerate(cars):
			inFleet = maxs[i + 1] >= car[2] if i < len(cars) - 1 else False
			if not inFleet:
				fleetCount += 1
		return fleetCount


class Solution:

	def carFleet(self, target: int, p: List[int], s: List[int]) -> int:
		if not p:
			return 0
		l = [[p[i], s[i]] for i in range(len(p))]
		l.sort(reverse=True)
		x = l[0]
		res = 1
		for y in l[1:]:
			t = (target - y[0]) / y[1]
			if t > (target - x[0]) / x[1]:
				res += 1
				x = y
		return res


class Solution:

	def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
		cars = sorted(zip(position, speed))
		times = [(target - p) / s for (p, s) in cars]
		most = 0
		count = 0
		for i in range(len(times) - 1, -1, -1):
			if times[i] > most:
				most = times[i]
				count += 1
		return count