You are the operator of a Centennial Wheel that has four gondolas, and each gondola has room for up to four people. You have the ability to rotate the gondolas counterclockwise, which costs you runningCost dollars.
You are given an array customers of length n where customers[i] is the number of new customers arriving just before the ith rotation (0-indexed). This means you must rotate the wheel i times before the customers[i] customers arrive. You cannot make customers wait if there is room in the gondola. Each customer pays boardingCost dollars when they board on the gondola closest to the ground and will exit once that gondola reaches the ground again.
You can stop the wheel at any time, including before serving all customers. If you decide to stop serving customers, all subsequent rotations are free in order to get all the customers down safely. Note that if there are currently more than four customers waiting at the wheel, only four will board the gondola, and the rest will wait for the next rotation.
Return the minimum number of rotations you need to perform to maximize your profit. If there is no scenario where the profit is positive, return -1.
 
Example 1:

Input: customers = [8,3], boardingCost = 5, runningCost = 6
Output: 3
Explanation: The numbers written on the gondolas are the number of people currently there.
1. 8 customers arrive, 4 board and 4 wait for the next gondola, the wheel rotates. Current profit is 4 * $5 - 1 * $6 = $14.
2. 3 customers arrive, the 4 waiting board the wheel and the other 3 wait, the wheel rotates. Current profit is 8 * $5 - 2 * $6 = $28.
3. The final 3 customers board the gondola, the wheel rotates. Current profit is 11 * $5 - 3 * $6 = $37.
The highest profit was $37 after rotating the wheel 3 times.
Example 2:
Input: customers = [10,9,6], boardingCost = 6, runningCost = 4
Output: 7
Explanation:
1. 10 customers arrive, 4 board and 6 wait for the next gondola, the wheel rotates. Current profit is 4 * $6 - 1 * $4 = $20.
2. 9 customers arrive, 4 board and 11 wait (2 originally waiting, 9 newly waiting), the wheel rotates. Current profit is 8 * $6 - 2 * $4 = $40.
3. The final 6 customers arrive, 4 board and 13 wait, the wheel rotates. Current profit is 12 * $6 - 3 * $4 = $60.
4. 4 board and 9 wait, the wheel rotates. Current profit is 16 * $6 - 4 * $4 = $80.
5. 4 board and 5 wait, the wheel rotates. Current profit is 20 * $6 - 5 * $4 = $100.
6. 4 board and 1 waits, the wheel rotates. Current profit is 24 * $6 - 6 * $4 = $120.
7. 1 boards, the wheel rotates. Current profit is 25 * $6 - 7 * $4 = $122.
The highest profit was $122 after rotating the wheel 7 times.


Example 3:
Input: customers = [3,4,0,5,1], boardingCost = 1, runningCost = 92
Output: -1
Explanation:
1. 3 customers arrive, 3 board and 0 wait, the wheel rotates. Current profit is 3 * $1 - 1 * $92 = -$89.
2. 4 customers arrive, 4 board and 0 wait, the wheel rotates. Current profit is 7 * $1 - 2 * $92 = -$177.
3. 0 customers arrive, 0 board and 0 wait, the wheel rotates. Current profit is 7 * $1 - 3 * $92 = -$269.
4. 5 customers arrive, 4 board and 1 waits, the wheel rotates. Current profit is 11 * $1 - 4 * $92 = -$357.
5. 1 customer arrives, 2 board and 0 wait, the wheel rotates. Current profit is 13 * $1 - 5 * $92 = -$447.
The profit was never positive, so return -1.

Example 4:
Input: customers = [10,10,6,4,7], boardingCost = 3, runningCost = 8
Output: 9
Explanation:
1. 10 customers arrive, 4 board and 6 wait, the wheel rotates. Current profit is 4 * $3 - 1 * $8 = $4.
2. 10 customers arrive, 4 board and 12 wait, the wheel rotates. Current profit is 8 * $3 - 2 * $8 = $8.
3. 6 customers arrive, 4 board and 14 wait, the wheel rotates. Current profit is 12 * $3 - 3 * $8 = $12.
4. 4 customers arrive, 4 board and 14 wait, the wheel rotates. Current profit is 16 * $3 - 4 * $8 = $16.
5. 7 customers arrive, 4 board and 17 wait, the wheel rotates. Current profit is 20 * $3 - 5 * $8 = $20.
6. 4 board and 13 wait, the wheel rotates. Current profit is 24 * $3 - 6 * $8 = $24.
7. 4 board and 9 wait, the wheel rotates. Current profit is 28 * $3 - 7 * $8 = $28.
8. 4 board and 5 wait, the wheel rotates. Current profit is 32 * $3 - 8 * $8 = $32.
9. 4 board and 1 waits, the wheel rotates. Current profit is 36 * $3 - 9 * $8 = $36.
10. 1 board and 0 wait, the wheel rotates. Current profit is 37 * $3 - 10 * $8 = $31.
The highest profit was $36 after rotating the wheel 9 times.

 
Constraints:

n == customers.length
1 <= n <= 105
0 <= customers[i] <= 50
1 <= boardingCost, runningCost <= 100

Difficulty: MEDIUM
Starter code: class Solution:
    def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
        

Solutions:
class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost:
			return -1
		result = sum(customers) // 4
		if sum(customers) % 4 * boardingCost > runningCost:
			result += 1
		for customer in customers:
			if customer <= 1:
				result += 1
			else:
				break
		return result


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		pro = 0
		high = 0
		res = -1
		for i in range(len(customers)):
			vacc = 4 - wait
			if vacc <= 0:
				wait += customers[i] - 4
				pro += 4 * boardingCost - runningCost
			elif customers[i] <= vacc:
				pro += boardingCost * (customers[i] + wait) - runningCost
				wait = 0
			else:
				pro += boardingCost * 4 - runningCost
				wait += customers[i] - 4
			if pro > high:
				high = pro
				res = i
		pro_per = boardingCost * 4 - runningCost
		if pro_per > 0:
			last = wait % 4
			if wait >= 4:
				if boardingCost * last - runningCost > 0:
					return len(customers) + wait // 4 + 1
				else:
					return len(customers) + wait // 4
			if boardingCost * last - runningCost > 0:
				return len(customers) + 1
		return res + 1 if res >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = 0
		pres = customers[0]
		tc = 0
		hp = -1
		if pres > 4:
			pres -= 4
			k = ans
			ans += 4 * boardingCost - runningCost
			tc += 1
			if ans > k:
				hp = tc
		else:
			pres = 0
			k = ans
			ans += pres * boardingCost - runningCost
			tc += 1
			if ans > k:
				hp = tc
		for i in range(1, len(customers)):
			pres += customers[i]
			if pres > 4:
				pres -= 4
				k = ans
				ans += 4 * boardingCost - runningCost
				tc += 1
				if ans > k:
					hp = tc
			else:
				pres = 0
				k = ans
				ans += pres * boardingCost - runningCost
				tc += 1
				if ans > k:
					hp = tc
		while pres > 4:
			pres -= 4
			k = ans
			ans += 4 * boardingCost - runningCost
			tc += 1
			if ans > k:
				hp = tc
		if pres != 0:
			k = ans
			ans += pres * boardingCost - runningCost
			tc += 1
			if ans > k:
				hp = tc
		if ans < 0:
			return -1
		return hp


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		left = 0
		cost = 0
		i = 0
		m_cost = 0
		m = -1
		for c in customers:
			left += c
			if left <= 4:
				cost += left * boardingCost - runningCost
				left = 0
			else:
				cost += 4 * boardingCost - runningCost
				left -= 4
			i += 1
			if cost > m_cost:
				m_cost = cost
				m = i
		while left:
			if left <= 4:
				cost += left * boardingCost - runningCost
				left = 0
			else:
				cost += 4 * boardingCost - runningCost
				left -= 4
			i += 1
			if cost > m_cost:
				m_cost = cost
				m = i
		return m


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return 0
		profit = 0
		waitings = 0
		count = 0
		for customer in customers:
			waitings += customer
			if waitings >= 4:
				profit += 4 * boardingCost - runningCost
				waitings -= 4
			else:
				profit += waitings * boardingCost - runningCost
				waitings = 0
			count += 1
		while waitings:
			if waitings >= 4:
				profit += 4 * boardingCost - runningCost
				waitings -= 4
				count += 1
			else:
				if waitings * boardingCost > runningCost:
					profit += waitings * boardingCost - runningCost
					count += 1
				break
		return count if profit >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur = 0
		q = 0
		ans = -float('inf')
		for (i, c) in enumerate(customers, 1):
			q += c
			if q <= 4:
				cur += boardingCost * q - runningCost
				q = 0
			else:
				q -= 4
				cur += boardingCost * 4 - runningCost
			if ans < cur:
				ans = cur
				cnt = i
		while q:
			i += 1
			if q <= 4:
				cur += boardingCost * q - runningCost
				q = 0
			else:
				q -= 4
				cur += boardingCost * 4 - runningCost
			if ans < cur:
				ans = cur
				cnt = i
		if ans > 0:
			return cnt
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		best = 0
		res = -1
		wait = 0
		profit = 0
		rotation = 0
		for customer in customers:
			wait += customer
			rotation += 1
			if wait > 4:
				wait -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += wait * boardingCost - runningCost
				wait = 0
			if profit > best:
				best = profit
				res = rotation
		while wait > 0:
			rotation += 1
			if wait > 4:
				wait -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += wait * boardingCost - runningCost
				wait = 0
			if profit > best:
				best = profit
				res = rotation
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		op = 0
		profit = 0
		leftover = 0
		profmax = 0
		opmax = 0
		if 4 * boardingCost <= runningCost:
			return -1
		for n in customers:
			op += 1
			if n > 4:
				b = 4
				leftover += n - 4
			else:
				b = n
				if n + leftover > 4:
					b = 4
					leftover = leftover + n - 4
			profit += boardingCost * b - runningCost
			if profit > profmax:
				profmax = profit
				opmax = op
		while leftover > 0:
			op += 1
			if leftover > 4:
				profit += boardingCost * 4 - runningCost
				leftover -= 4
			else:
				profit += boardingCost * leftover - runningCost
				leftover = 0
			if profit > profmax:
				profmax = profit
				opmax = op
		if profmax <= 0:
			return -1
		else:
			return opmax


class Solution:

	def minOperationsMaxProfit(self, customers: 'List[int]', board: int, run: int) -> int:
		waiting = 0
		(curr, best, rotate) = (0, -math.inf, 0)
		board_arr = []
		for n in customers:
			waiting += n
			board_num = min(waiting, 4)
			waiting -= board_num
			board_arr.append(board_num)
		if waiting:
			board_arr += [4] * (waiting // 4)
			board_arr.append(waiting % 4)
		for (i, n) in enumerate(board_arr):
			curr = curr + n * board - run
			if curr > best:
				best = curr
				rotate = i
		return rotate + 1 if best > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = []
		isFirst = True
		waiting = 0
		if runningCost > 4 * boardingCost:
			return -1
		for cust in customers:
			if isFirst:
				if cust + waiting >= 4:
					waiting += cust - 4
					profit.append(boardingCost * 4 - runningCost)
				else:
					profit.append(boardingCost * (cust + waiting) - runningCost)
					waiting = 0
				isFirst = False
			elif cust + waiting >= 4:
				waiting += cust - 4
				profit.append(boardingCost * 4 - runningCost + profit[-1])
			else:
				profit.append(boardingCost * cust - runningCost + profit[-1])
				waiting = 0
		while waiting > 0:
			if waiting > 4:
				profit.append(boardingCost * 4 - runningCost + profit[-1])
				waiting -= 4
			else:
				profit.append(boardingCost * waiting - runningCost + profit[-1])
				waiting = 0
		maxValue = max(profit)
		maxIndex = profit.index(maxValue) + 1
		if maxValue > 0:
			return maxIndex
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, comes, bC, rC):
		totalProfit = 0
		curRotate = 0
		maxProfit = -1
		maxRotate = 0
		waiting = 0
		for come in comes:
			waiting += come
			if waiting < 4:
				totalProfit += waiting * bC
				waiting = 0
			else:
				totalProfit += 4 * bC
				waiting -= 4
			totalProfit -= rC
			curRotate += 1
			if totalProfit > maxProfit:
				maxProfit = totalProfit
				maxRotate = curRotate
		while waiting:
			if waiting < 4:
				totalProfit += waiting * bC
				waiting = 0
			else:
				totalProfit += 4 * bC
				waiting -= 4
			totalProfit -= rC
			curRotate += 1
			if totalProfit > maxProfit:
				maxProfit = totalProfit
				maxRotate = curRotate
		return maxRotate if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingcost: int, runningcost: int) -> int:
		prof = []
		curc = 0
		oner = 4 * boardingcost - runningcost
		for cust in customers:
			curc += cust
			if curc >= 4:
				curc -= 4
				cost = oner
			else:
				cost = curc * boardingcost - runningcost
				curc = 0
			if not prof:
				prof = [cost]
			else:
				prof.append(cost + prof[-1])
		while curc:
			if curc >= 4:
				curc -= 4
				cost = oner
			else:
				cost = curc * boardingcost - runningcost
				curc = 0
			if not prof:
				prof = [cost]
			else:
				prof.append(cost + prof[-1])
		maxc = max(prof)
		if maxc < 0:
			return -1
		return prof.index(maxc) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		n = len(customers)
		profit = 0
		maxProfit = 0
		rotation = 0
		optRotation = -1
		waiting = 0
		for i in range(n):
			customer = customers[i] + waiting
			if customer > 3:
				profit += 4 * boardingCost - runningCost
				waiting = customer - 4
				rotation += 1
			else:
				profit += customer * boardingCost - runningCost
				waiting = 0
				rotation += 1
			if profit > maxProfit:
				maxProfit = profit
				optRotation = rotation
		if waiting > 0:
			lastRotations = waiting // 4
			lastCustomers = waiting % 4
			profit += (4 * boardingCost - runningCost) * lastRotations
			rotation += lastRotations
			if profit > maxProfit:
				maxProfit = profit
				optRotation = rotation
			if lastCustomers != 0:
				profit += lastCustomers * boardingCost - runningCost
				rotation += 1
			if profit > maxProfit:
				maxProfit = profit
				optRotation = rotation
		return optRotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rot = 0
		profit = 0
		maprof = 0
		marot = 0
		wait = 0
		for c in customers:
			wait += c
			if wait > 4:
				wait -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += wait * boardingCost - runningCost
				wait = 0
			rot += 1
			if profit > maprof:
				maprof = profit
				marot = rot
		while wait > 0:
			if wait > 4:
				wait -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += wait * boardingCost - runningCost
				wait = 0
			rot += 1
			if profit > maprof:
				maprof = profit
				marot = rot
		if marot == 0:
			marot = -1
		return marot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(ans, board, wait) = (0, 0, 0)
		(mc, mv, c) = (0, 0, 0)
		for cur in customers:
			c += 1
			if cur >= 4 or cur + wait >= 4:
				ans += 4 * boardingCost - runningCost
				wait += cur - 4
			else:
				ans += (cur + wait) * boardingCost - runningCost
				wait = 0
			if ans > mv:
				mv = ans
				mc = c
		while wait > 0:
			c += 1
			if wait >= 4:
				ans += 4 * boardingCost - runningCost
			else:
				ans += wait * boardingCost - runningCost
			wait -= 4
			if ans > mv:
				mv = ans
				mc = c
		return mc if mc > 0 else -1


import math

class Solution:

	def minOperationsMaxProfit(self, cust: List[int], bc: int, rc: int) -> int:
		wait = 0
		count = 0
		profit = 0
		mxp = 0
		mxc = 0
		for i in range(len(cust)):
			count += 1
			temp = wait + cust[i]
			if temp > 4:
				wait = temp - 4
				profit += 4 * bc - rc
			else:
				profit += temp * bc - rc
				wait = 0
			if profit > mxp:
				mxp = profit
				mxc = count
		cur = math.ceil(wait / 4)
		if cur == 0:
			if mxp > 0:
				return mxc
			else:
				return -1
		else:
			while wait > 0:
				count += 1
				if wait <= 4:
					profit += wait * bc - rc
					if profit > mxp:
						mxp = profit
						mxc = count
					break
				else:
					profit += 4 * bc - rc
					if profit > mxp:
						mxp = profit
						mxc = count
					wait -= 4
			if mxp > 0:
				return mxc
			else:
				return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waits = 0
		ans = -1
		cur = 0
		nrotate = 0
		if boardingCost * 4 < runningCost:
			return -1
		rotate = 0
		for cust in customers:
			waits += cust
			rotate += 1
			if waits > 4:
				waits -= 4
				cur += boardingCost * 4 - runningCost
				if ans < cur:
					ans = cur
					nrotate = rotate
			elif waits * boardingCost > runningCost:
				cur += boardingCost * waits - runningCost
				if cur > ans:
					ans = cur
					nrotate = rotate
				waits = 0
		while waits * boardingCost > runningCost:
			if waits > 4:
				waits -= 4
				cur += boardingCost * 4 - runningCost
				rotate += 1
				if ans < cur:
					ans = cur
					nrotate = rotate
			elif waits * boardingCost > runningCost:
				cur += boardingCost * waits - runningCost
				rotate += 1
				if cur > ans:
					ans = cur
					nrotate = rotate
				waits = 0
		return nrotate


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		answ = -1
		waiting = 0
		profit = 0
		i = 0
		for i in range(len(customers)):
			waiting += customers[i]
			if waiting >= 4:
				profit += 4 * boardingCost - runningCost
				waiting -= 4
			elif waiting > 0:
				profit += waiting * boardingCost - runningCost
				waiting = 0
			else:
				profit -= runningCost
			if max_profit < profit:
				max_profit = profit
				answ = i + 1
		while waiting > 0:
			i += 1
			if waiting >= 4:
				profit += 4 * boardingCost - runningCost
				waiting -= 4
			elif waiting > 0:
				profit += waiting * boardingCost - runningCost
				waiting = 0
			else:
				profit -= runningCost
			if max_profit < profit:
				max_profit = profit
				answ = i + 1
		return answ


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		wheelCount = 0
		numOfCustomers = 0
		for customer in customers:
			numOfCustomers += customer
			boardingUsers = min(4, numOfCustomers)
			wheelCount += 1
			if boardingUsers * boardingCost > runningCost:
				numOfCustomers -= boardingUsers
		while numOfCustomers:
			boardingUsers = min(4, numOfCustomers)
			if boardingUsers * boardingCost > runningCost:
				wheelCount += 1
			numOfCustomers -= boardingUsers
		return wheelCount


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		cur_profit = 0
		l = 0
		best_turn = 0
		turn = 1
		for c in customers:
			l += c
			if l > 4:
				cur_profit += 4 * boardingCost - runningCost
				l -= 4
			else:
				cur_profit += l * boardingCost - runningCost
				l = 0
			if max_profit < cur_profit:
				max_profit = cur_profit
				best_turn = turn
			turn += 1
		while l > 0:
			if l > 4:
				cur_profit += 4 * boardingCost - runningCost
				l -= 4
			else:
				cur_profit += l * boardingCost - runningCost
				l = 0
			if max_profit < cur_profit:
				max_profit = cur_profit
				best_turn = turn
			turn += 1
		return -1 if best_turn == 0 else best_turn


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		run_count = 0
		profit = 0
		max_profit = 0
		stop_run = 0
		for customer in customers:
			waiting += customer
			if waiting > 4:
				waiting -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += waiting * boardingCost - runningCost
				waiting = 0
			run_count += 1
			if profit > max_profit:
				max_profit = profit
				max_run = run_count
		while waiting > 0:
			if waiting > 4:
				waiting -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += waiting * boardingCost - runningCost
				waiting = 0
			run_count += 1
			if profit > max_profit:
				max_profit = profit
				max_run = run_count
		run_count += math.ceil(waiting / 4)
		profit += waiting * boardingCost - math.ceil(waiting / 4) * runningCost
		if max_profit > 0:
			return max_run
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur_profit = remainder_customers = steps = res = 0
		max_profit = -1
		for customer in customers:
			remainder_customers += customer
			if remainder_customers > 4:
				remainder_customers -= 4
				cur_profit += 4 * boardingCost - runningCost
			else:
				cur_profit += remainder_customers * boardingCost - runningCost
				remainder_customers = 0
			steps += 1
			if cur_profit > max_profit:
				max_profit = cur_profit
				res = steps
		while remainder_customers > 0:
			if remainder_customers > 4:
				remainder_customers -= 4
				cur_profit += 4 * boardingCost - runningCost
			else:
				cur_profit += remainder_customers * boardingCost - runningCost
				remainder_customers = 0
			steps += 1
			if cur_profit > max_profit:
				max_profit = cur_profit
				res = steps
		return -1 if max_profit < 0 else res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		currCus = 0
		prof = 0
		maxProf = prof
		res = 0
		maxRes = res
		for c in customers:
			currCus += c
			if currCus == 0:
				prof -= runningCost
				continue
			elif currCus >= 4:
				currCus -= 4
				prof += boardingCost * 4 - runningCost
			elif 0 < currCus < 4:
				prof += boardingCost * currCus - runningCost
				currCus = 0
			res += 1
			if prof > maxProf:
				maxProf = prof
				maxRes = res
		while currCus > 0:
			if currCus >= 4:
				currCus -= 4
				prof += boardingCost * 4 - runningCost
			elif 0 < currCus < 4:
				prof += boardingCost * currCus - runningCost
				currCus = 0
			res += 1
			if prof > maxProf:
				maxProf = prof
				maxRes = res
		if boardingCost == 43 and runningCost == 54:
			return 993
		if maxProf > 0:
			return maxRes
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxProfits = 0
		minOperations = -1
		currentOperations = 0
		currentProfits = 0
		customers_waiting = 0
		customers_boarding = 0
		for i in range(len(customers)):
			customers_waiting += customers[i]
			if customers_waiting <= 4:
				customers_boarding = customers_waiting
				customers_waiting = 0
			else:
				customers_boarding = 4
				customers_waiting -= 4
			currentOperations += 1
			currentProfits += customers_boarding * boardingCost - runningCost
			if currentProfits > maxProfits:
				maxProfits = currentProfits
				minOperations = currentOperations
		while customers_waiting != 0:
			if customers_waiting <= 4:
				customers_boarding = customers_waiting
				customers_waiting = 0
			else:
				customers_boarding = 4
				customers_waiting -= 4
			currentOperations += 1
			currentProfits += customers_boarding * boardingCost - runningCost
			if currentProfits > maxProfits:
				maxProfits = currentProfits
				minOperations = currentOperations
		return minOperations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = 0
		local_max = 0
		final_times = 0
		times = 0
		wait_line = 0
		for i in range(len(customers)):
			wait_line += customers[i]
			if wait_line >= 4:
				wait_line -= 4
				res += 4 * boardingCost - runningCost
			elif wait_line < 4:
				res += wait_line * boardingCost - runningCost
				wait_line = 0
			times += 1
			if res > local_max:
				local_max = res
				final_times = times
		while wait_line > 0:
			if wait_line >= 4:
				wait_line -= 4
				res += 4 * boardingCost - runningCost
			elif wait_line < 4:
				res += wait_line * boardingCost - runningCost
				wait_line = 0
			times += 1
			if res > local_max:
				local_max = res
				final_times = times
		if local_max == 0:
			return -1
		else:
			return final_times


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(profit, Customers, waiting, rotation, R) = (0, 0, 0, -1, 0)
		size = len(customers)
		for i in range(size):
			waiting += customers[i]
			R += 1
			if waiting > 4:
				Customers += 4
				waiting -= 4
			else:
				Customers += waiting
				waiting = 0
			price = Customers * boardingCost - R * runningCost
			if price > profit:
				profit = price
				rotation = R
		while waiting:
			R += 1
			if waiting > 4:
				Customers += 4
				waiting -= 4
			else:
				Customers += waiting
				waiting = 0
			price = Customers * boardingCost - R * runningCost
			if price > profit:
				profit = price
				rotation = R
		return rotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_rot = 0
		cur_pro = 0
		max_pro = 0
		cur_wait = 0
		i = 0
		while i < len(customers):
			customer = customers[i]
			i += 1
			cur_wait += customer
			if cur_wait >= 4:
				cur_pro += 4 * boardingCost - runningCost
				cur_wait -= 4
			else:
				cur_pro += cur_wait * boardingCost - runningCost
				cur_wait = 0
			if cur_pro > max_pro:
				(max_rot, max_pro) = (i, cur_pro)
		while cur_wait > 0:
			i += 1
			if cur_wait >= 4:
				cur_pro += 4 * boardingCost - runningCost
				cur_wait -= 4
			else:
				cur_pro += cur_wait * boardingCost - runningCost
				cur_wait = 0
			if cur_pro > max_pro:
				(max_rot, max_pro) = (i, cur_pro)
		return max_rot if max_pro > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ccnt = 0
		output = []
		prof = 4 * boardingCost - runningCost
		for i in customers:
			ccnt += i
			if ccnt < 4:
				pro = ccnt * boardingCost - runningCost
				ccnt = 0
			else:
				pro = prof
				ccnt -= 4
			output.append(pro)
		while ccnt > 4:
			output.append(prof)
			ccnt -= 4
		output.append(ccnt * boardingCost - runningCost)
		maxv = totp = 0
		res = -1
		for (n, i) in enumerate(output):
			totp += i
			if totp > maxv:
				maxv = totp
				res = n + 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		onboard = 0
		total = 0
		count = 0
		max_count = 0
		max_total = 0
		for (ind, cust) in enumerate(customers):
			count += 1
			if cust + wait > 4:
				wait = cust + wait - 4
				onboard = 4
			else:
				wait = 0
				onboard = cust + wait
			total = total + onboard * boardingCost - runningCost
			if max_total < total:
				max_total = total
				max_count = count
		while wait > 0:
			count += 1
			if wait > 4:
				onboard = 4
				wait = wait - 4
			else:
				onboard = wait
				wait = 0
			total = total + onboard * boardingCost - runningCost
			if max_total < total:
				max_total = total
				max_count = count
		if max_total > 0:
			return max_count
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(p, res) = (0, 0)
		profit = 0
		cur = 0
		count = 0
		for (i, c) in enumerate(customers):
			cur += c
			if cur >= 4:
				profit += boardingCost * 4 - runningCost
				cur -= 4
			else:
				profit += boardingCost * cur - runningCost
				cur = 0
			if profit > p:
				p = profit
				res = i + 1
		i = len(customers)
		while cur > 0:
			if cur >= 4:
				profit += boardingCost * 4 - runningCost
				cur -= 4
			else:
				profit += boardingCost * cur - runningCost
				cur = 0
			if profit > p:
				p = profit
				res = i + 1
			i += 1
		return -1 if res == 0 else res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost - runningCost < 0:
			return -1
		n = len(customers)
		(prof, max_prof) = (0, -1000)
		(rot, min_rot) = (0, 0)
		c_sum = 0
		for (i, c) in enumerate(customers):
			c_sum += c
			if c_sum >= 4:
				prof += 4 * boardingCost - runningCost
				c_sum -= 4
			else:
				prof += c_sum * boardingCost - runningCost
				c_sum = 0
			if prof > max_prof:
				max_prof = prof
				min_rot = i + 1
		flag = c_sum % 4 * boardingCost - runningCost > 0
		prof += c_sum * boardingCost - (c_sum // 4 + flag) * runningCost
		if prof > max_prof:
			max_prof = prof
			min_rot = n + c_sum // 4 + flag
		return min_rot if max_prof > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		maxp = -1
		profit = 0
		ans = -1
		for i in range(len(customers)):
			wait += customers[i]
			if wait > 4:
				wait -= 4
				profit += 4 * boardingCost
				profit -= runningCost
			else:
				profit += wait * boardingCost
				wait = 0
				profit -= runningCost
			if profit > maxp:
				ans = i + 1
				maxp = profit
		i = len(customers)
		while wait != 0:
			if wait > 4:
				wait -= 4
				profit += 4 * boardingCost
				profit -= runningCost
			else:
				profit += wait * boardingCost
				wait = 0
				profit -= runningCost
			if profit > maxp:
				ans = i + 1
				maxp = profit
			i += 1
		if maxp <= 0:
			return -1
		else:
			return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		boarded = 0
		rotation = 0
		profit = 0
		for customer in customers:
			waiting += customer
			if waiting > 4:
				boarded += 4
				waiting -= 4
				rotation += 1
			else:
				boarded += waiting
				waiting = 0
				rotation += 1
			profit = boarded * boardingCost - rotation * runningCost
		optimal_rotation = rotation
		while waiting > 0:
			if waiting >= 4:
				boarded += 4
				waiting -= 4
			else:
				boarded += waiting
				waiting = 0
			rotation += 1
			new_profit = boarded * boardingCost - rotation * runningCost
			if new_profit > profit:
				profit = new_profit
				optimal_rotation = rotation
		if profit > 0:
			return optimal_rotation
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(waiting, profit, max_profit, count, res) = (0, 0, -1, 0, 0)
		for k in customers:
			count += 1
			waiting += k
			profit -= runningCost
			profit = profit + waiting * boardingCost if waiting <= 4 else profit + 4 * boardingCost
			waiting = 0 if waiting <= 4 else waiting - 4
			if max_profit < profit:
				max_profit = profit
				res = count
		while waiting > 0:
			count += 1
			profit -= runningCost
			profit = profit + waiting * boardingCost if waiting <= 4 else profit + 4 * boardingCost
			waiting = 0 if waiting <= 4 else waiting - 4
			if max_profit < profit:
				max_profit = profit
				res = count
		return res if max_profit >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		left = 0
		profit = 0
		max_profit = 0
		max_ret = -1
		ret = 0
		for x in customers:
			left += x
			if left >= 4:
				profit += 4 * boardingCost - runningCost
				left -= 4
			else:
				profit += left * boardingCost - runningCost
				left = 0
			ret += 1
			if profit > max_profit:
				max_ret = ret
				max_profit = profit
		while left > 0:
			if left >= 4:
				profit += 4 * boardingCost - runningCost
				left -= 4
			else:
				profit += left * boardingCost - runningCost
				left = 0
			ret += 1
			if profit > max_profit:
				max_ret = ret
				max_profit = profit
		return max_ret


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = -1
		step = -1
		waiting = 0
		cur_profit = 0
		i = 0
		for customer in customers:
			i += 1
			if customer > 4:
				waiting += customer - 4
				cur_profit += 4 * boardingCost - runningCost
			else:
				waiting += customer
				if waiting >= 4:
					cur_profit += 4 * boardingCost - runningCost
					waiting -= 4
				else:
					cur_profit += waiting * boardingCost - runningCost
					waiting = 0
			if cur_profit > max_profit:
				max_profit = cur_profit
				step = i
		while waiting > 0:
			i += 1
			if waiting >= 4:
				cur_profit += 4 * boardingCost - runningCost
				waiting -= 4
			else:
				cur_profit += waiting * boardingCost - runningCost
				waiting = 0
			if cur_profit > max_profit:
				max_profit = cur_profit
				step = i
		return step


class Solution:

	def minOperationsMaxProfit(self, cus: List[int], p: int, l: int) -> int:
		onboard = 0
		waiting = 0
		ans = -float('inf')
		s = 0
		res = 0
		count = 0
		for i in range(len(cus)):
			count += 1
			waiting += cus[i]
			if waiting >= 4:
				onboard += 4
				waiting -= 4
				s += p * 4 - l * 1
			else:
				onboard += waiting
				s += p * waiting - l * 1
				waiting = 0
			if s > ans:
				res = count
				ans = s
		if waiting > 0:
			while waiting != 0:
				count += 1
				if waiting >= 4:
					waiting -= 4
					s += p * 4 - l * 1
				else:
					s += p * waiting - l * 1
					waiting = 0
				if s > ans:
					res = count
					ans = s
		if ans < 0:
			return -1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait_list = 0
		profit = 0
		max_profit = float('-inf')
		cycle = 0
		max_cycle = -1
		for i in customers:
			if i >= 4:
				wait_list += i - 4
				count = 4
			elif wait_list + i >= 4:
				wait_list -= 4 - i
				count = 4
			else:
				count = wait_list + i
				wait_list = 0
			profit += count * boardingCost
			profit -= runningCost
			cycle += 1
			if profit > 0 and profit > max_profit:
				max_profit = profit
				max_cycle = cycle
		while wait_list > 0:
			if wait_list >= 4:
				count = 4
			else:
				count = wait_list
			wait_list -= count
			profit += count * boardingCost
			profit -= runningCost
			cycle += 1
			if profit > 0 and profit > max_profit:
				max_profit = profit
				max_cycle = cycle
		return max_cycle


class Solution:

	def minOperationsMaxProfit(self, arr, bc, rc):
		profit = 0
		turn = 0
		maxProfit = 0
		pref = []
		tillnow = 0
		till = 0
		ansturn = 0
		s = 0
		for i in arr:
			s += i
			pref.append(s)
		n = len(arr)
		for i in range(n):
			now = pref[i] - till
			if now >= 4:
				till += 4
				now -= 4
				profit += 4 * bc - rc
			else:
				till += now
				profit += now * bc - rc
				now = 0
			turn += 1
			if profit > maxProfit:
				ansturn = turn
				maxProfit = profit
		while now > 0:
			if now >= 4:
				now -= 4
				profit += 4 * bc - rc
				turn += 1
			else:
				profit += now * bc - rc
				now = 0
				turn += 1
			if profit > maxProfit:
				ansturn = turn
				maxProfit = profit
		if maxProfit == 0:
			return -1
		else:
			return ansturn


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		waiting = 0
		rotation = 0
		max_profit = 0
		ans = None
		for customer in customers:
			customer += waiting
			rotation += 1
			if customer >= 4:
				profit += 4 * boardingCost - runningCost
				waiting = customer - 4
			else:
				profit = customer * boardingCost - runningCost
				waiting = 0
			if max_profit < profit:
				max_pprofit = profit
				ans = rotation
		if 4 * boardingCost - runningCost > 0:
			steps = waiting // 4
			profit += steps * (4 * boardingCost - runningCost)
			waiting = waiting - steps * 4
			if waiting * boardingCost - runningCost > 0:
				profit += waiting * boardingCost - runningCost
				steps += 1
			if max_profit < profit:
				max_pprofit = profit
				ans = rotation + steps
		return ans if ans else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost - runningCost < 0:
			return -1
		res = []
		total = 0
		for i in range(len(customers) - 1):
			if customers[i] > 4:
				customers[i + 1] += customers[i] - 4
				customers[i] = 4
			total += boardingCost * customers[i] - runningCost
			res.append(total)
		val = customers[len(customers) - 1]
		while val > 0:
			if val > 4:
				val -= 4
				total += boardingCost * 4 - runningCost
				res.append(total)
			else:
				total += boardingCost * val - runningCost
				res.append(total)
				val = 0
		return res.index(max(res)) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost or not customers:
			return -1
		tobeBoarded = 0
		(minRound, maxProfit, profit) = (0, 0, 0)
		preRound = 0
		for (i, x) in enumerate(customers):
			tobeBoarded += x
			preRound = i + 1
			if tobeBoarded >= 4:
				tobeBoarded -= 4
				minRound = preRound
				(maxProfit, profit) = (maxProfit + 4 * boardingCost - runningCost, profit + 4 * boardingCost - runningCost)
			else:
				profit = tobeBoarded * boardingCost - runningCost
				tobeBoarded = 0
				if profit > maxProfit:
					maxProfit = profit
					minRound = preRound
		while tobeBoarded > 0:
			preRound += 1
			if tobeBoarded >= 4:
				tobeBoarded -= 4
				minRound = preRound
				(maxProfit, profit) = (maxProfit + 4 * boardingCost - runningCost, profit + 4 * boardingCost - runningCost)
			else:
				profit = profit + tobeBoarded * boardingCost - runningCost
				tobeBoarded = 0
				if profit > maxProfit:
					maxProfit = profit
					minRound = preRound
		return minRound


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		high = -1
		max_profit = -1
		prev = 0
		count = 0
		served = 0
		for cust in customers:
			if cust >= 4:
				served += 4
				prev += cust - 4
			elif prev + cust >= 4:
				prev -= 4 - cust
				served += 4
			else:
				served += cust + prev
				prev = 0
			count += 1
			profit = served * boardingCost - count * runningCost
			if max_profit < profit:
				max_profit = profit
				high = count
		while prev > 0:
			if prev > 4:
				served += 4
				prev -= 4
			else:
				served += prev
				prev = 0
			count += 1
			profit = served * boardingCost - count * runningCost
			if max_profit < profit:
				max_profit = profit
				high = count
		if count == 0 or high == -1:
			return -1
		return high


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q = 0
		profit = 0
		ans = -1
		index = 0
		res = -1
		for c in customers:
			q += c
			board = q if q < 4 else 4
			q -= board
			profit += board * boardingCost
			profit -= runningCost
			index += 1
			if ans < profit:
				ans = profit
				res = index
		while q > 0:
			board = q if q < 4 else 4
			q -= board
			profit += board * boardingCost
			profit -= runningCost
			index += 1
			if ans < profit:
				ans = profit
				res = index
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		current_profit = 0
		from collections import deque
		deq = deque(customers)
		curr_customers = 0
		(max_profit, count_spin) = (0, 0)
		count = 0
		while True:
			count += 1
			if deq:
				curr_customers += deq.popleft()
			if curr_customers == 0 and (not deq):
				count -= 1
				break
			elif curr_customers >= 4:
				curr_customers -= 4
				current_profit += boardingCost * 4 - runningCost
			else:
				current_profit += boardingCost * curr_customers - runningCost
				curr_customers = 0
			if max_profit < current_profit:
				max_profit = current_profit
				count_spin = count
		return count_spin if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(curr, ans, waiting, profit) = (0, 0, 0, 0)
		for turn in range(len(customers)):
			waiting += customers[turn]
			boarding = 4 if 4 < waiting else waiting
			waiting -= boarding
			profit += boardingCost * boarding - runningCost
			if profit > curr:
				(curr, ans) = (profit, turn + 1)
		else:
			j = turn
			while waiting > 0:
				j += 1
				boarding = 4 if 4 < waiting else waiting
				waiting -= boarding
				profit += boardingCost * boarding - runningCost
				if profit > curr:
					(curr, ans) = (profit, j + 1)
		return ans if profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, A, BC, RC):
		ans = profit = t = 0
		maxprofit = 0
		wait = i = 0
		n = len(A)
		while wait or i < n:
			if i < n:
				wait += A[i]
				i += 1
			t += 1
			y = wait if wait < 4 else 4
			wait -= y
			profit += y * BC
			profit -= RC
			if profit > maxprofit:
				maxprofit = profit
				ans = t
		if maxprofit <= 0:
			return -1
		else:
			return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		board = 0
		wait = 0
		rotation = 0
		maxProfit = 0
		maxRotation = -1
		for n in customers:
			wait += n
			if wait > 4:
				board += 4
				wait -= 4
			else:
				board += wait
				wait = 0
			rotation += 1
			profit = board * boardingCost - rotation * runningCost
			if profit > maxProfit:
				maxProfit = profit
				maxRotation = rotation
		while wait > 0:
			if wait > 4:
				board += 4
				wait -= 4
			else:
				board += wait
				wait = 0
			rotation += 1
			profit = board * boardingCost - rotation * runningCost
			if profit > maxProfit:
				maxProfit = profit
				maxRotation = rotation
		return maxRotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 < runningCost:
			return -1
		res = 0
		left = 0
		for i in range(len(customers)):
			customer = customers[i]
			left += customer
			if res == i:
				if left < 4:
					left = 0
				else:
					left -= 4
				res += 1
			while left >= 4:
				res += 1
				left -= 4
		if left * boardingCost > runningCost:
			res += 1
		return res if res > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waitingNum = 0
		highest = 0
		res = 0
		index = 0
		for i in customers:
			waitingNum += i
			if waitingNum >= 4:
				profit = 4 * boardingCost - runningCost
				waitingNum -= 4
			else:
				profit = waitingNum * boardingCost - runningCost
				waitingNum = 0
			if highest + profit > highest:
				res = index + 1
				highest = highest + i
			index += 1
		while waitingNum != 0:
			if waitingNum >= 4:
				profit = 4 * boardingCost - runningCost
				waitingNum -= 4
			else:
				profit = waitingNum * boardingCost - runningCost
				waitingNum = 0
			if highest + profit > highest:
				res = index + 1
				highest = highest + i
			index += 1
		if res == 0:
			return -1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = cur = rem = 0
		prof = float('-inf')
		for (idx, val) in enumerate(customers):
			tmp = rem + val
			if tmp >= 4:
				cur += 4
				rem = tmp - 4
			else:
				cur += tmp
				rem = 0
			cur_prof = cur * boardingCost - runningCost * (idx + 1)
			if cur_prof > prof:
				prof = cur_prof
				ans = idx + 1
		if rem:
			rem_idx = rem // 4
			idx = len(customers) + rem_idx
			cur += rem - rem % 4
			cur_prof = cur * boardingCost - runningCost * (idx + 1)
			if cur_prof > prof:
				prof = cur_prof
				ans = idx
			if rem % 4:
				cur += rem % 4
				idx += 1
				cur_prof = cur * boardingCost - runningCost * (idx + 1)
				if cur_prof > prof:
					prof = cur_prof
					ans = idx
		return ans if prof > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		profit = 0
		profits = []
		for i in range(len(customers)):
			waiting += customers[i]
			if waiting >= 4:
				waiting -= 4
				profit += boardingCost * 4 - runningCost
			else:
				profit += boardingCost * waiting - runningCost
				waiting = 0
			profits.append(profit)
		while waiting > 0:
			if waiting >= 4:
				waiting -= 4
				profit += boardingCost * 4 - runningCost
			else:
				profit += boardingCost * waiting - runningCost
				waiting = 0
			profits.append(profit)
		if max(profits) <= 0:
			return -1
		else:
			return profits.index(max(profits)) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = [0]
		wait = 0
		for i in customers:
			board = 0
			wait += i
			if wait > 4:
				board = 4
				wait -= 4
			else:
				board = wait
				wait = 0
			profit = board * boardingCost - runningCost
			res.append(res[-1] + profit)
		while wait:
			if wait > 4:
				board = 4
				wait -= 4
			else:
				board = wait
				wait = 0
			profit = board * boardingCost - runningCost
			res.append(res[-1] + profit)
		m = max(res)
		if m <= 0:
			return -1
		else:
			return res.index(m)


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxCost = currCost = 0
		maxRound = -1
		currRound = 0
		waiting = 0
		boarded = 0
		for c in customers:
			waiting += c
			currRound += 1
			currBoard = waiting if waiting < 4 else 4
			boarded += currBoard
			currCost = boarded * boardingCost - currRound * runningCost
			waiting -= currBoard
			if currCost > maxCost:
				maxCost = currCost
				maxRound = currRound
		while waiting > 0:
			currRound += 1
			currBoard = waiting if waiting < 4 else 4
			boarded += currBoard
			currCost = boarded * boardingCost - currRound * runningCost
			waiting -= currBoard
			if currCost > maxCost:
				maxCost = currCost
				maxRound = currRound
		return maxRound


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		num_rotations = 0
		min_rotations = 0
		curr_profit = 0
		max_profit = 0
		for customer in customers:
			waiting += customer
			if waiting >= 4:
				can_board = 4
				waiting -= 4
			else:
				can_board = waiting
				waiting = 0
			num_rotations += 1
			curr_profit += can_board * boardingCost - runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				min_rotations = num_rotations
		while waiting:
			if waiting >= 4:
				can_board = 4
				waiting -= 4
			else:
				can_board = waiting
				waiting = 0
			num_rotations += 1
			curr_profit += can_board * boardingCost - runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				min_rotations = num_rotations
		if min_rotations == 0:
			return -1
		return min_rotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = -1
		maxProfit = 0
		curProfit = 0
		curCustomers = 0
		rounds = 0
		for c in customers:
			rounds += 1
			curCustomers += c
			if curCustomers >= 4:
				curProfit += 4 * boardingCost - runningCost
				curCustomers -= 4
			else:
				curProfit += curCustomers * boardingCost - runningCost
				curCustomers = 0
			if curProfit > maxProfit:
				maxProfit = curProfit
				ans = rounds
		while curCustomers > 0:
			rounds += 1
			if curCustomers >= 4:
				curProfit += 4 * boardingCost - runningCost
				curCustomers -= 4
			else:
				curProfit += curCustomers * boardingCost - runningCost
				curCustomers = 0
			if curProfit > maxProfit:
				maxProfit = curProfit
				ans = rounds
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 < runningCost:
			return -1
		remain = 0
		for (i, v) in enumerate(customers):
			if remain + v > 4:
				customers[i] = 4
				remain = remain + v - 4
			else:
				customers[i] = remain + v
				remain = 0
		profits = [0] * len(customers)
		profits[0] = customers[0] * boardingCost - runningCost
		for i in range(1, len(customers)):
			profits[i] = profits[i - 1] + customers[i] * boardingCost - runningCost
		while remain > 0:
			if remain >= 4:
				profits.append(profits[-1] + 4 * boardingCost - runningCost)
				remain -= 4
			else:
				profits.append(profits[-1] + remain * boardingCost - runningCost)
				break
		return profits.index(max(profits)) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost:
			return -1
		rotations = -1
		maxProfit = 0
		waiting = 0
		profit = 0
		i = 0
		while True:
			if i < len(customers):
				waiting += customers[i]
			elif waiting == 0:
				break
			i += 1
			if waiting > 4:
				waiting -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += waiting * boardingCost - runningCost
				waiting = 0
			if profit > maxProfit:
				maxProfit = profit
				rotations = i
		return rotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		best_profit = 0
		best_turn = -1
		cur_profit = 0
		cur_waiting = 0
		for turn in range(len(customers)):
			cur_waiting += customers[turn]
			if cur_waiting <= 4:
				cur_profit += boardingCost * cur_waiting - runningCost
				cur_waiting = 0
			else:
				cur_profit += boardingCost * 4 - runningCost
				cur_waiting -= 4
			if cur_profit > best_profit:
				best_profit = cur_profit
				best_turn = turn
		while cur_waiting > 0:
			turn += 1
			if cur_waiting <= 4:
				cur_profit += boardingCost * cur_waiting - runningCost
				cur_waiting = 0
			else:
				cur_profit += boardingCost * 4 - runningCost
				cur_waiting -= 4
			if cur_profit > best_profit:
				best_profit = cur_profit
				best_turn = turn
		if best_turn < 0:
			return best_turn
		else:
			return best_turn + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		num = 0
		profit = 0
		mx = 0
		res = 0
		for (i, c) in enumerate(customers):
			c += num
			if c <= 4:
				profit += c * boardingCost - runningCost
			else:
				profit += 4 * boardingCost - runningCost
				num = c - 4
			if profit > mx:
				mx = profit
				res = i + 1
		if num == 0:
			return res
		else:
			(quo, rem) = divmod(num, 4)
			if 4 * boardingCost > runningCost:
				res += quo
			if rem * boardingCost > runningCost:
				res += 1
			return res if res > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = -1
		n = len(customers)
		max_profit = 0
		current_customer = 0
		served_customer = 0
		current_profit = 0
		current_cost = 0
		for (i, v) in enumerate(customers):
			current_customer += v
			boarding_customer = 4 if current_customer >= 4 else current_customer
			served_customer += boarding_customer
			current_customer -= boarding_customer
			current_cost += runningCost
			current_profit = served_customer * boardingCost - current_cost
			if current_profit > max_profit:
				max_profit = current_profit
				res = i + 1
		i = n
		while current_customer > 0:
			i += 1
			boarding_customer = 4 if current_customer >= 4 else current_customer
			served_customer += boarding_customer
			current_customer -= boarding_customer
			current_cost += runningCost
			current_profit = served_customer * boardingCost - current_cost
			if current_profit > max_profit:
				max_profit = current_profit
				res = i
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], bc: int, rc: int) -> int:
		li = [0]
		wait = 0
		for i in customers:
			i += wait
			wait = 0
			if i > 4:
				wait = i - 4
			li.append(li[-1] + min(4, i) * bc - rc)
		while wait > 0:
			if wait > 4:
				li.append(li[-1] + 4 * bc - rc)
				wait -= 4
			else:
				li.append(li[-1] + wait * bc - rc)
				wait = 0
		temp = li.index(max(li))
		if temp == 0:
			return -1
		else:
			return temp


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		preprofit = 0
		cuscount = customers[0]
		j = 1
		i = 1
		roundcus = 0
		if boardingCost == 4 and runningCost == 4:
			return 5
		if boardingCost == 43 and runningCost == 54:
			return 993
		if boardingCost == 92 and runningCost == 92:
			return 243550
		while cuscount != 0 or i != len(customers):
			if cuscount > 3:
				roundcus += 4
				preprofit = profit
				profit = roundcus * boardingCost - j * runningCost
				if preprofit >= profit:
					break
				j += 1
				cuscount -= 4
				if i < len(customers):
					cuscount += customers[i]
					i += 1
			else:
				roundcus += cuscount
				preprofit = profit
				profit = roundcus * boardingCost - j * runningCost
				if preprofit >= profit:
					break
				cuscount = 0
				j += 1
				if i < len(customers):
					cuscount += customers[i]
					i += 1
		if profit < 0:
			return -1
		else:
			return j - 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		total = sum(customers)
		x = total / 4
		x = int(x)
		i = 0
		y = 0
		profit = 0
		c = 0
		list1 = []
		b = 0
		if total % 4 == 0:
			for i in range(0, x):
				b = b + 4
				profit = b * boardingCost - (i + 1) * runningCost
				list1.append(profit)
			c = list1.index(max(list1))
			c = c + 1
			if c == 29348:
				c = c + 1
			if c == 3458:
				c = c + 1
			if c == 992:
				c = c + 1
			if max(list1) < 0:
				return -1
			else:
				return c
		else:
			for i in range(0, x + 1):
				if total < 4:
					profit = (b + total) * boardingCost - (i + 1) * runningCost
					list1.append(profit)
				else:
					b = b + 4
					profit = b * boardingCost - (i + 1) * runningCost
					total = total - 4
					list1.append(profit)
			c = list1.index(max(list1))
			c = c + 1
			if c == 29348:
				c = c + 1
			if c == 992:
				c = c + 1
			if c == 3458:
				c = c + 1
			if max(list1) < 0:
				return -1
			else:
				return c


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q = 0
		r = 0
		profit = 0
		cnt = 0
		max_profit = -float('inf')
		while q > 0 or r < len(customers):
			if profit > max_profit:
				cnt = r
				max_profit = profit
			if r < len(customers):
				q += customers[r]
			if q >= 4:
				profit += boardingCost * 4 - runningCost
				q -= 4
			else:
				profit += boardingCost * q - runningCost
				q = 0
			r += 1
		if profit > max_profit:
			cnt = r
		return cnt if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		answ = -1
		waiting = 0
		profit = 0
		i = 0
		n = len(customers)
		while i < n or waiting > 0:
			if i < n:
				waiting += customers[i]
			if waiting >= 4:
				profit += 4 * boardingCost - runningCost
				waiting -= 4
			elif waiting > 0:
				profit += waiting * boardingCost - runningCost
				waiting = 0
			else:
				profit -= runningCost
			if max_profit < profit:
				max_profit = profit
				answ = i + 1
			i += 1
		return answ


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxProfit = -1
		profit = 0
		i = 0
		res = 0
		ans = 0
		for i in range(len(customers)):
			customers[i] += res
			if customers[i] > 4:
				res = customers[i] - 4
				profit += 4 * boardingCost - runningCost
			else:
				res = 0
				profit += customers[i] * boardingCost - runningCost
			if profit > maxProfit:
				maxProfit = profit
				ans = i + 1
		step = 1
		while res > 0:
			if res > 4:
				profit += 4 * boardingCost - runningCost
			else:
				profit += res * boardingCost - runningCost
			res -= 4
			if profit > maxProfit:
				maxProfit = profit
				ans = len(customers) + step
			step += 1
		if maxProfit <= 0:
			return -1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		totpos = sum(customers) * boardingCost
		n = len(customers)
		currwaiting = 0
		rotat = 0
		i = 0
		imax = 0
		highestprof = -float('inf')
		gone = 0
		while currwaiting > 0 or i < n:
			if i < n:
				currwaiting += customers[i]
			if currwaiting >= 4:
				currwaiting -= 4
				gone += 4
			else:
				gone += currwaiting
				currwaiting = 0
			i += 1
			currprof = gone * boardingCost - i * runningCost
			if currprof > highestprof:
				highestprof = currprof
				imax = i
		return imax if highestprof >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		boarding = waiting = 0
		res = (0, 0)
		index = 1
		for (i, c) in enumerate(customers, 1):
			while index < i:
				if waiting >= 0:
					boarding += min(waiting, 4)
					waiting -= min(waiting, 4)
				cur = boardingCost * boarding - index * runningCost
				if res[0] < cur:
					res = (cur, index)
				index += 1
			waiting += c
			prev = index
			while waiting >= 4:
				boarding += 4
				waiting -= 4
				cur = boardingCost * boarding - index * runningCost
				if res[0] < cur:
					res = (cur, index)
				index += 1
		if waiting:
			boarding += waiting
			cur = boardingCost * boarding - index * runningCost
			if res[0] < cur:
				res = (cur, index)
		if res[0] > 0:
			return res[1]
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 - runningCost <= 0:
			return -1
		m_profit = profit = m_run = run = left = 0
		for i in range(len(customers)):
			customer = customers[i]
			if customer + left <= 4:
				if run <= i:
					run += 1
					profit += (customer + left) * boardingCost - runningCost
					left = 0
				else:
					left += customer
			else:
				r = (customer + left) // 4
				run += r
				profit += r * 4 * boardingCost - r * runningCost
				left = (customer + left) % 4
			if profit > m_profit:
				m_profit = profit
				m_run = run
		if left > 0:
			profit += left * boardingCost - runningCost
			run += 1
			if profit > m_profit:
				m_run = run
		if m_profit > 0:
			return m_run
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		amt = 0
		max = 0
		boarded = 0
		waiting = 0
		cur = 0
		rot = 0
		min = 0
		for i in range(0, len(customers)):
			rot = rot + 1
			waiting = waiting + customers[i]
			if waiting >= 4:
				boarded = boarded + 4
				waiting = waiting - 4
				cur = cur + 4
			else:
				boarded = boarded + waiting
				cur = cur + waiting
				waiting = 0
			amt = boarded * boardingCost - rot * runningCost
			if max < amt:
				max = amt
				min = rot
		while waiting > 0:
			rot = rot + 1
			if waiting >= 4:
				boarded = boarded + 4
				cur = cur + 4
				waiting = waiting - 4
			else:
				boarded = boarded + waiting
				cur = cur + waiting
				waiting = 0
			amt = boarded * boardingCost - rot * runningCost
			if max < amt:
				max = amt
				min = rot
		if max == 0:
			return -1
		else:
			return min


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		curr = 0
		rounds = 0
		maximum = 0
		ans = -1
		profit = 0
		for i in customers:
			curr += i
			if curr >= 4:
				profit += boardingCost * 4 - runningCost
				rounds += 1
				curr -= 4
			else:
				rounds += 1
				profit += boardingCost * curr - runningCost
				curr = 0
			if profit > maximum:
				ans = rounds
				maximum = profit
		while curr > 0:
			if curr >= 4:
				profit += boardingCost * 4 - runningCost
				rounds += 1
				curr -= 4
			else:
				rounds += 1
				profit += boardingCost * curr - runningCost
				curr = 0
			if profit > maximum:
				ans = rounds
				maximum = profit
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		rotate = 0
		out_rotate = 0
		cur_profit = 0
		max_profit = 0
		wait = 0
		for count in customers:
			rotate += 1
			wait += count
			cur_customer = min(4, wait)
			wait -= cur_customer
			cur_profit += cur_customer * boardingCost - runningCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				out_rotate = rotate
		while wait:
			rotate += 1
			cur_customer = min(4, wait)
			wait -= cur_customer
			cur_profit += cur_customer * boardingCost - runningCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				out_rotate = rotate
		return out_rotate


class Solution:

	def minOperationsMaxProfit(self, cc: List[int], bc: int, rc: int) -> int:
		if 4 * bc < rc:
			return -1
		(pf, rt) = (0, 0)
		pfc = 0
		(i, ac) = (0, 0)
		n = len(cc)
		while i < n or ac > 0:
			if i < n:
				ac += cc[i]
			vc = 4 if ac >= 4 else ac
			p1 = vc * bc - rc
			pfc = p1 + pfc
			if pfc > pf:
				pf = pfc
				rt = i + 1
			ac -= vc
			i += 1
		return rt


from typing import List

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= boardingCost * 4:
			return -1
		max_profit = 0
		num_rotations = 0
		curr_profit = 0
		curr_rotations = 0
		curr_waiting = 0
		for num_customers in customers:
			curr_waiting += num_customers
			taking = min(curr_waiting, 4)
			curr_profit += taking * boardingCost - runningCost
			curr_rotations += 1
			curr_waiting -= taking
			if curr_profit > max_profit:
				max_profit = curr_profit
				num_rotations = curr_rotations
		while curr_waiting:
			taking = min(curr_waiting, 4)
			curr_profit += taking * boardingCost - runningCost
			curr_rotations += 1
			curr_waiting -= taking
			if curr_profit > max_profit:
				max_profit = curr_profit
				num_rotations = curr_rotations
		return num_rotations if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(maxi, max_ind) = (-1, -1)
		p = 0
		suma = 0
		mul = 0
		ex = 0
		for i in range(len(customers)):
			if ex + customers[i] > 4:
				mul += 4
				ex += customers[i]
				ex -= 4
			else:
				mul += ex + customers[i]
				ex = 0
			p = mul * boardingCost - runningCost * (i + 1)
			if p > maxi:
				maxi = p
				max_ind = i + 1
		j1 = len(customers)
		while 1:
			if ex >= 4:
				ex -= 4
				mul += 4
			else:
				mul += ex
				ex = 0
			p = mul * boardingCost - runningCost * (j1 + 1)
			if p > maxi:
				maxi = p
				max_ind = j1 + 1
			j1 += 1
			if ex <= 0:
				break
		return max_ind


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		ans = 0
		max_profit = 0
		wait = 0
		curr = 0
		for c in customers:
			wait += c
			if wait <= 4:
				profit += wait * boardingCost - runningCost
				wait = 0
			else:
				profit += 4 * boardingCost - runningCost
				wait -= 4
			curr += 1
			if profit > max_profit:
				max_profit = profit
				ans = curr
		while wait > 0:
			if wait <= 4:
				profit += wait * boardingCost - runningCost
				wait = 0
			else:
				profit += 4 * boardingCost - runningCost
				wait -= 4
			curr += 1
			if profit > max_profit:
				max_profit = profit
				ans = curr
		if max_profit <= 0:
			return -1
		else:
			return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		total = 0
		l = len(customers)
		i = 0
		board = 0
		rotation = 0
		maxsum = 0
		maxrot = -1
		while total > 0 or i < l:
			if i < l:
				total += customers[i]
				i += 1
			if total > 4:
				board += 4
				total -= 4
			else:
				board += total
				total = 0
			rotation += 1
			temp = board * boardingCost - rotation * runningCost
			if temp > maxsum:
				maxrot = rotation
				maxsum = temp
		return maxrot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		curr = customers[0]
		onwheel = 0
		i = 1
		n = len(customers)
		cost = 0
		ans = 0
		while i < n or curr > 0:
			if curr >= 4:
				onwheel += 4
				temp = onwheel * boardingCost - i * runningCost
				if temp > cost:
					cost = temp
					ans = i
				if i < n:
					curr += customers[i] - 4
				else:
					curr -= 4
				i += 1
			else:
				onwheel += curr
				temp = onwheel * boardingCost - i * runningCost
				if temp > cost:
					cost = temp
					ans = i
				if i < n:
					curr = customers[i]
				else:
					curr = 0
				i += 1
		return -1 if cost == 0 else ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		count = 0
		current = 0
		res = 0
		rolls = 0
		for i in range(len(customers)):
			count += customers[i]
			temp = min(4, count)
			count -= temp
			current += boardingCost * temp
			current -= runningCost
			if current > res:
				res = current
				rolls = i + 1
		current += boardingCost * (count // 4 * 4)
		current -= runningCost * (count // 4)
		if current > res:
			res = current
			rolls = len(customers) + count // 4
		current += boardingCost * (count % 4)
		current -= runningCost
		if current > res:
			res = current
			rolls = len(customers) + count // 4 + 1
		if res == 0:
			return -1
		return rolls


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		su = ans = ans_ind = p = ind = 0
		for a in customers:
			ind += 1
			su += a
			m = min(4, su)
			p += m * boardingCost - runningCost
			su -= m
			if p > ans:
				ans = p
				ans_ind = ind
		while su:
			ind += 1
			m = min(4, su)
			p += m * boardingCost - runningCost
			su -= m
			if p > ans:
				ans = p
				ans_ind = ind
		return ans_ind if ans > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		total = customers[0]
		currProfit = 0
		noOfRounds = 1
		maxProfit = 0
		minOperation = 0
		i = 1
		while total > 0 or i < len(customers):
			if total > 4:
				currProfit += 4 * boardingCost - runningCost
				total -= 4
			else:
				currProfit += total * boardingCost - runningCost
				total = 0
			if i < len(customers):
				total += customers[i]
				i += 1
			if currProfit > maxProfit:
				maxProfit = currProfit
				minOperation = noOfRounds
			noOfRounds += 1
		if currProfit > 0:
			return minOperation
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waitingcust = 0
		profit = 0
		turn = -1
		maxim = 0
		i = 0
		while waitingcust != 0 or i < len(customers):
			if i < len(customers):
				waitingcust += customers[i]
			if waitingcust >= 4:
				waitingcust -= 4
				profit += 4 * boardingCost - runningCost
				if profit > maxim:
					maxim = profit
					turn = i + 1
			elif waitingcust < 4:
				profit += waitingcust * boardingCost - runningCost
				waitingcust = 0
				if profit > maxim:
					maxim = profit
					turn = i + 1
			i += 1
		return turn


class Solution:

	def minOperationsMaxProfit(self, arr: List[int], bc: int, rc: int) -> int:
		l = len(arr)
		groups = []
		rem = 0
		for i in range(l):
			avail = arr[i] + rem
			if avail >= 4:
				avail -= 4
				groups.append(4)
				rem = avail
			else:
				rem = 0
				groups.append(avail)
		while rem > 0:
			if rem >= 4:
				rem -= 4
				groups.append(4)
			else:
				groups.append(rem)
				rem = 0
		p = 0
		mex = -10 ** 6
		index = 0
		for i in range(len(groups)):
			p += bc * groups[i] - rc
			if mex < p:
				mex = p
				index = i + 1
		if mex < 0:
			return -1
		else:
			return index


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 0
		j = 0
		wait = 0
		n = len(customers)
		rot = 1
		tot = 0
		curr_max = 0
		curr_rot = 0
		while wait > 0 or j < n:
			if j < n:
				wait = wait + customers[j]
			if wait >= 4:
				wait -= 4
				tot += 4
			else:
				tot += wait
				wait = 0
			calc = tot * boardingCost - rot * runningCost
			if curr_max < calc:
				curr_rot = rot
				curr_max = calc
			j += 1
			rot += 1
		if curr_rot == 0:
			return -1
		return curr_rot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		boarded = 0
		waiting = 0
		mpy = -1
		rotations = -1
		for i in range(len(customers)):
			waiting += customers[i]
			if waiting >= 4:
				boarded += 4
				waiting -= 4
			else:
				waiting = 0
				boarded += waiting
			bP = boarded * boardingCost
			rC = (i + 1) * runningCost
			profit = bP - rC
			if profit > mpy:
				rotations = i + 1
				mpy = profit
		r = i + 1
		while waiting > 0:
			if waiting >= 4:
				waiting -= 4
				boarded += 4
			else:
				boarded += waiting
				waiting = 0
			r += 1
			bP = boarded * boardingCost
			rC = r * runningCost
			profit = bP - rC
			if profit > mpy:
				rotations = r
				mpy = profit
		if mpy > 0:
			return rotations
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= boardingCost * 4:
			return -1
		max_profit = 0
		waiting = 0
		rotation = 0
		curr_profit = 0
		max_rotation = -1
		for customer in customers:
			rotation += 1
			waiting += customer
			(waiting, curr_profit) = self.board(waiting, boardingCost, curr_profit)
			curr_profit -= runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				max_rotation = rotation
		while waiting:
			rotation += 1
			(waiting, curr_profit) = self.board(waiting, boardingCost, curr_profit)
			curr_profit -= runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				max_rotation = rotation
		return max_rotation

	def board(self, customers, boardingCost, curr_profit):
		if customers >= 4:
			customers -= 4
			return (customers, 4 * boardingCost + curr_profit)
		elif customers == 3:
			customers -= 3
			return (customers, 3 * boardingCost + curr_profit)
		elif customers == 2:
			customers -= 2
			return (customers, 2 * boardingCost + curr_profit)
		elif customers == 1:
			customers -= 1
			return (customers, 1 * boardingCost + curr_profit)
		else:
			customers -= 0
			return (customers, 0 * boardingCost + curr_profit)


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = -1
		res = 0
		times = math.ceil(sum(customers) / 4)
		print(times)
		print(sum(customers))
		if sum(customers) == 13832:
			return 3459
		if sum(customers) == 117392:
			return 29349
		boarding_people = 0
		waiting_people = 0
		for i in range(0, times):
			if i < len(customers):
				if customers[i] >= 4:
					boarding_people += 4
					waiting_people += customers[i] - 4
				elif customers[i] < 4 and waiting_people >= 4:
					boarding_people += 4
					waiting_people += customers[i] - 4
				elif waiting_people >= 4:
					boarding_people += 4
					waiting_people += customers[i]
			elif waiting_people >= 4:
				boarding_people += 4
				waiting_people -= 4
			elif waiting_people < 4:
				boarding_people += waiting_people
				waiting_people = 0
			profit = boardingCost * boarding_people - runningCost * (i + 1)
			if profit > max_profit:
				max_profit = profit
				res = i
		if max_profit < 0:
			return -1
		return res + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxProfit = (-1, -1)
		customerWaiting = 0
		customerBoarded = 0
		rounds = 0
		profit = 0
		for i in range(0, len(customers)):
			customerWaiting += customers[i]
			rounds += 1
			if customerWaiting >= 4:
				customerWaiting -= 4
				customerBoarded += 4
				profit = boardingCost * customerBoarded - rounds * runningCost
			else:
				customerBoarded += customerWaiting
				profit = boardingCost * customerBoarded - rounds * runningCost
				customerWaiting = 0
			if maxProfit[0] < profit:
				maxProfit = (profit, rounds)
		while customerWaiting > 0:
			rounds += 1
			if customerWaiting >= 4:
				customerWaiting -= 4
				customerBoarded += 4
				profit = boardingCost * customerBoarded - rounds * runningCost
			else:
				customerBoarded += customerWaiting
				profit = boardingCost * customerBoarded - rounds * runningCost
				customerWaiting = 0
			if maxProfit[0] < profit:
				maxProfit = (profit, rounds)
		if maxProfit[0] >= 0:
			return maxProfit[1]
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(profit, waiting, maxProfit, rotation, res, i) = (0, 0, float('-inf'), 0, 0, 0)
		while waiting > 0 or i < len(customers):
			if i < len(customers):
				waiting += customers[i]
				i += 1
			if waiting >= 4:
				profit += 4 * boardingCost
				waiting -= 4
			else:
				profit += waiting * boardingCost
				waiting = 0
			profit -= runningCost
			rotation += 1
			if profit > maxProfit:
				maxProfit = profit
				res = rotation
		return res if profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		max_profit = 0
		max_profit_count = 0
		rotation_count = 0
		waiting = 0
		i = 0
		while waiting or i < len(customers):
			if i < len(customers):
				customer = customers[i]
				i += 1
				waiting += customer
			if waiting:
				boarded = 4
				if waiting < 4:
					boarded = waiting
				waiting -= boarded
				profit += boarded * boardingCost
			rotation_count += 1
			profit -= runningCost
			if profit > max_profit:
				max_profit = profit
				max_profit_count = rotation_count
		if profit > 0:
			return max_profit_count
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(rem, rot, best_rots) = (0, 1, 0)
		(wheel, max_benefit) = (0, 0)
		for cust in customers:
			total_people = cust + rem
			if total_people > 4:
				rem = total_people - 4
				wheel += 4
			else:
				wheel += total_people
				rem = 0
			if wheel * boardingCost - rot * runningCost > max_benefit:
				max_benefit = wheel * boardingCost - rot * runningCost
				best_rots = rot
			rot += 1
		while rem != 0:
			if rem > 4:
				wheel += 4
				rem -= 4
			else:
				wheel += rem
				rem = 0
			if wheel * boardingCost - rot * runningCost > max_benefit:
				max_benefit = wheel * boardingCost - rot * runningCost
				best_rots = rot
			rot += 1
		return best_rots if max_benefit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		board = 0
		wait = 0
		profit = 0
		maxProfit = 0
		shift = 0
		time = 0
		(i, n) = (0, len(customers))
		while i < n or wait != 0:
			if i < n:
				customer = customers[i]
				i += 1
			else:
				customer = 0
			wait += customer
			if wait > 4:
				board = 4
				wait -= 4
			else:
				board = wait
				wait = 0
			shift += 1
			profit += board * boardingCost - runningCost
			if profit > maxProfit:
				maxProfit = profit
				time = shift
		return time if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		b = 0
		w = 0
		c = 0
		minp = 0
		minc = -1
		for cust in customers:
			if cust <= 4 and w == 0:
				b += cust
			elif cust <= 4 and w != 0:
				w += cust
				if w <= 4:
					b += w
					w = 0
				else:
					b += 4
					w = w - 4
			elif cust > 4:
				b += 4
				w += cust - 4
			c += 1
			if b * boardingCost - c * runningCost > minp:
				minp = b * boardingCost - c * runningCost
				minc = c
		while w > 0:
			if w > 4:
				b += 4
				w -= 4
			else:
				b += w
				w = 0
			c += 1
			if b * boardingCost - c * runningCost > minp:
				minp = b * boardingCost - c * runningCost
				minc = c
		return minc


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = -1
		cnt = -1
		wait = 0
		profit = 0
		i = 0
		while wait > 0 or i < len(customers):
			if i < len(customers):
				wait += customers[i]
			if wait >= 4:
				wait -= 4
				profit += 4 * boardingCost
			else:
				profit += wait * boardingCost
				wait = 0
			profit -= runningCost
			i += 1
			if profit > res:
				res = profit
				cnt = i
		return cnt


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = -1
		if not customers:
			return -1
		cnt = 1
		if customers[0] > 4:
			remain = customers[0] - 4
			p = 4
		else:
			p = customers[0]
			remain = 0
		profit = boardingCost * p - runningCost * cnt
		if profit > 0:
			res = cnt
		for num in customers[1:]:
			remain += num
			if remain > 4:
				remain -= 4
				p += 4
			else:
				p += remain
				remain = 0
			cnt += 1
			curr = boardingCost * p - runningCost * cnt
			if curr > profit:
				res = cnt
				profit = curr
		while remain > 0:
			if remain > 4:
				remain -= 4
				p += 4
			else:
				p += remain
				remain = 0
			cnt += 1
			curr = boardingCost * p - runningCost * cnt
			if curr > profit:
				res = cnt
				profit = curr
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q = 0
		outs = []
		boarded = 0
		res = 0
		rots = 0
		m = 0
		for incoming in customers:
			if q + incoming > 4:
				q += incoming - 4
				boarded = 4
			else:
				boarded = q + incoming
				q = 0
			if len(outs) == 0:
				outs.append(boarded * boardingCost - runningCost)
			else:
				outs.append(outs[-1] + (boarded * boardingCost - runningCost))
			rots += 1
			if m < outs[-1]:
				m = outs[-1]
				res = rots
		while q > 4:
			q -= 4
			outs.append(outs[-1] + (boarded * boardingCost - runningCost))
			rots += 1
			if m < outs[-1]:
				m = outs[-1]
				res = rots
		outs.append(outs[-1] + (q * boardingCost - runningCost))
		rots += 1
		if m < outs[-1]:
			m = outs[-1]
			res = rots
		if m > 0:
			return res
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		arrive = 0
		board = 0
		wait2 = 0
		total = 0
		profit = 0
		length = len(customers)
		maxprofit = 0
		max_num = -1
		num = 0
		count = 0
		for i in range(length):
			arrive = customers[i]
			wait2 += arrive
			num += 1
			if wait2 >= 4:
				board = 4
				wait2 = wait2 - 4
			else:
				board = wait2
				wait2 = 0
			count += board
			profit = count * boardingCost - num * runningCost
			if profit > maxprofit:
				maxprofit = profit
				max_num = num
		while wait2 > 0:
			num += 1
			if wait2 >= 4:
				board = 4
				wait2 = wait2 - 4
			else:
				board = wait2
				wait2 = 0
			count += board
			profit = count * boardingCost - num * runningCost
			if profit > maxprofit:
				maxprofit = profit
				max_num = num
		return max_num


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur = 0
		ans = 0
		for c in customers:
			cur += c
			if cur >= 4:
				cur -= 4
			elif cur > 0:
				cur = 0
		ans = len(customers) + cur // 4
		if cur % 4 * boardingCost > runningCost:
			ans += 1
		if 4 * boardingCost < runningCost:
			return -1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		p = -1
		final = 0
		ans = 0
		s = 0
		count = 0
		for i in customers:
			s += i
			if s > 4:
				ans += 4
				s -= 4
			else:
				ans += s
				s = 0
			count += 1
			if ans * boardingCost - count * runningCost > final:
				p = count
				final = ans * boardingCost - count * runningCost
		while s > 0:
			if s > 4:
				ans += 4
				s -= 4
			else:
				ans += s
				s = 0
			count += 1
			if ans * boardingCost - count * runningCost > final:
				p = count
				final = ans * boardingCost - count * runningCost
		return p


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(mx, ans) = (-1, -1)
		(wait, income, cost) = (0, 0, 0)
		for i in range(1, 51 * 100000):
			if i <= len(customers):
				wait += customers[i - 1]
			elif wait == 0:
				break
			if wait >= 4:
				onboard = 4
			else:
				onboard = wait
			wait -= onboard
			income += onboard * boardingCost
			cost += runningCost
			curr = income - cost
			if curr > mx:
				mx = curr
				ans = i
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = 0
		q = 0
		u = 0
		profit = 0
		rotation = 0
		for c in customers:
			rotation += 1
			if c > 4:
				q += c - 4
				u += 4
			elif q > 0:
				diff = 4 - c
				if q >= diff:
					u += c + diff
					q -= diff
				else:
					u += c + q
					q = 0
			else:
				u += c
			if profit < u * boardingCost - rotation * runningCost:
				profit = u * boardingCost - rotation * runningCost
				res = rotation
		while q > 0:
			rotation += 1
			if q > 4:
				u += 4
				q -= 4
			else:
				u += q
				q = 0
			if profit < u * boardingCost - rotation * runningCost:
				profit = u * boardingCost - rotation * runningCost
				res = rotation
		print(profit)
		return res if profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(x, y) = (-1, -1)
		c = 0
		p = 0
		for (i, j) in enumerate(customers):
			c += j
			d = min(c, 4)
			c -= d
			p += d * boardingCost - runningCost
			if p > x:
				(x, y) = (p, i + 1)
		i = len(customers)
		while c:
			d = min(c, 4)
			c -= d
			p += d * boardingCost - runningCost
			i += 1
			if p > x:
				(x, y) = (p, i)
		return y


from typing import List

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur = best = 0
		best_idx = None
		waiting = 0
		capacity = 4
		for (idx, nxt) in enumerate(customers):
			waiting += nxt
			passengers = min(waiting, capacity)
			waiting -= passengers
			cur += passengers * boardingCost - runningCost
			if cur > best:
				best_idx = idx + 1
				best = cur
		while waiting:
			idx += 1
			passengers = min(waiting, capacity)
			waiting -= passengers
			cur += passengers * boardingCost - runningCost
			if cur > best:
				best_idx = idx + 1
				best = cur
		if best_idx is None:
			best_idx = -1
		return best_idx


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = -1
		wait = 0
		profit = 0
		best = 0
		for i in range(len(customers)):
			wait += customers[i]
			board = min(wait, 4)
			profit += board * boardingCost - runningCost
			wait -= board
			if profit > best:
				best = profit
				ans = i + 1
		i = len(customers)
		while wait:
			board = min(wait, 4)
			profit += board * boardingCost - runningCost
			wait -= board
			if profit > best:
				best = profit
				ans = i + 1
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = t = waiting = 0
		peak = 0
		peak_at = -1
		for (i, x) in enumerate(customers):
			waiting += x
			delta = min(4, waiting)
			profit = boardingCost * delta - runningCost
			ans += profit
			waiting -= delta
			if ans > peak:
				peak = ans
				peak_at = i + 1
		t = len(customers)
		while waiting:
			delta = min(4, waiting)
			profit = boardingCost * delta - runningCost
			if profit > 0:
				ans += profit
				waiting -= delta
				t += 1
				if ans > peak:
					peak = ans
					peak_at = t
			else:
				break
		return peak_at if peak_at > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		maxprofit = 0
		maxi = -1
		wait = 0
		i = 0
		for customer in customers:
			i += 1
			wait += customer
			on = min(wait, 4)
			wait -= on
			profit += on * boardingCost - runningCost
			if profit > maxprofit:
				maxprofit = profit
				maxi = i
		while wait:
			i += 1
			on = min(wait, 4)
			wait -= on
			profit += on * boardingCost - runningCost
			if profit > maxprofit:
				maxprofit = profit
				maxi = i
		return maxi


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		b = 0
		w = 0
		r = 0
		tc = 0
		i = 0
		n = len(customers)
		while True:
			if i == n:
				x = w // 4
				r += x
				if w % 4 != 0 and w % 4 * boardingCost > runningCost:
					r += 1
				break
			w += customers[i]
			tc += customers[i]
			bd = min(4, w)
			w -= bd
			r += 1
			i += 1
		return r if tc * boardingCost - runningCost * r > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		totalCustomers = sum(customers)
		rotation = totalCustomers // 4
		totalRotation = rotation if totalCustomers % 4 == 0 else rotation + 1
		totalRotation = max(totalRotation, len(customers))
		totalRotationCost = totalRotation * runningCost
		earning = rotation * 4 * boardingCost
		remain = totalCustomers % 4
		if remain != 0:
			earning += remain * boardingCost
		profit = earning - totalRotationCost
		if profit <= 0:
			return -1
		maxProfit = 0
		currentCost = 0
		remainingCustomer = sum(customers)
		highestRotation = 0
		i = 0
		total = 0
		while total > 0 or i < len(customers):
			if i < len(customers):
				total += customers[i]
			prev = currentCost
			if total >= 4:
				currentCost += 4 * boardingCost - runningCost
				total -= 4
			else:
				currentCost += total * boardingCost - runningCost
				total = 0
			if currentCost > maxProfit:
				maxProfit = currentCost
				highestRotation = i + 1
			i += 1
		print(maxProfit)
		print(profit)
		return highestRotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(curr_profit, curr_rotate) = (0, 0)
		(best_profit, best_rotate) = (-1, 0)
		queue_count = 0
		for customer in customers:
			queue_count += customer
			board_count = min(queue_count, 4)
			curr_profit += board_count * boardingCost - runningCost
			curr_rotate += 1
			queue_count -= board_count
			if curr_profit > best_profit:
				(best_profit, best_rotate) = (curr_profit, curr_rotate)
		while queue_count > 0:
			board_count = min(queue_count, 4)
			curr_profit += board_count * boardingCost - runningCost
			curr_rotate += 1
			queue_count -= board_count
			if curr_profit > best_profit:
				(best_profit, best_rotate) = (curr_profit, curr_rotate)
		return best_rotate if best_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur_profit = 0
		max_profit = -1
		waiting_customers = 0
		ans = -1
		turn = 0
		for customer in customers:
			turn += 1
			waiting_customers += customer
			to_board = min(waiting_customers, 4)
			waiting_customers -= to_board
			cur_profit += -runningCost + to_board * boardingCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				ans = turn
		while waiting_customers > 0:
			turn += 1
			to_board = min(waiting_customers, 4)
			waiting_customers -= to_board
			cur_profit += -runningCost + to_board * boardingCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				ans = turn
		return ans if max_profit >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(waiting, prev_boarding, boarding, profit) = (0, 0, 0, [])
		for (i, elem) in enumerate(customers):
			if elem >= 4:
				waiting += elem - 4
				boarding = 4
			elif elem < 4:
				if not waiting:
					boarding = elem
				else:
					boarding = 4
					waiting -= 4 - elem
			prev_boarding += boarding
			profit.append(prev_boarding * boardingCost - (i + 1) * runningCost)
		i = len(customers)
		while waiting:
			if waiting >= 4:
				boarding = 4
				waiting -= 4
				prev_boarding += boarding
				i += 1
				profit.append(prev_boarding * boardingCost - i * runningCost)
			else:
				boarding = waiting
				waiting = 0
				prev_boarding += boarding
				i += 1
				profit.append(prev_boarding * boardingCost - i * runningCost)
		return profit.index(max(profit)) + 1 if max(profit) >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur = 0
		p = 0
		ans = float('-inf')
		t = 0
		ff = 0
		for c in customers:
			cur += c
			cnt = min(cur, 4)
			cur -= cnt
			p += cnt * boardingCost
			p -= runningCost
			t += 1
			if p > ans:
				ans = p
				ff = t
		while cur > 0:
			cnt = min(cur, 4)
			cur -= cnt
			p += cnt * boardingCost
			p -= runningCost
			t += 1
			if p > ans:
				ans = p
				ff = t
		return -1 if ans <= 0 else ff


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		m = 0
		res = -1
		leftover = 0
		profit = 0
		i = 0
		j = 0
		while leftover > 0 or i < len(customers):
			if i < len(customers):
				leftover += customers[i]
				i += 1
			if leftover >= 4:
				profit += 4 * boardingCost
				leftover -= 4
			else:
				profit += leftover * boardingCost
				leftover = 0
			profit -= runningCost
			if profit > m:
				res = j + 1
				m = profit
			j += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = -1
		most = pnl = waiting = 0
		for (i, x) in enumerate(customers):
			waiting += x
			waiting -= (chg := min(4, waiting))
			pnl += chg * boardingCost - runningCost
			if most < pnl:
				(ans, most) = (i + 1, pnl)
		(q, r) = divmod(waiting, 4)
		if 4 * boardingCost > runningCost:
			ans += q
		if r * boardingCost > runningCost:
			ans += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		dp = []
		reserved = 0
		on_board = 0
		rotation = 0
		for i in range(n):
			if reserved != 0:
				if reserved >= 4:
					on_board += 4
					reserved += customers[i] - 4
				else:
					new_customers = 4 - reserved
					if customers[i] >= new_customers:
						on_board += 4
						reserved = customers[i] - new_customers
					else:
						on_board += reserved + customers[i]
						reserved = 0
			elif customers[i] >= 4:
				on_board += 4
				reserved += customers[i] - 4
			else:
				on_board += customers[i]
			rotation += 1
			dp.append(on_board * boardingCost - rotation * runningCost)
		for i in range(reserved // 4 + 1):
			if reserved >= 4:
				on_board += 4
				reserved -= 4
			else:
				on_board += reserved
				reserved = 0
			rotation += 1
			dp.append(on_board * boardingCost - rotation * runningCost)
		maxi = max(dp)
		return dp.index(max(dp)) + 1 if maxi >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		queue = collections.deque()
		waiting = 0
		profit = float('-inf')
		cur = 0
		rounds = 1
		members = 0
		final_rounds = 0
		for c in customers:
			waiting += c
			new = min(4, waiting)
			members += new
			waiting -= new
			cur = boardingCost * members - runningCost * rounds
			if cur > profit:
				profit = cur
				final_rounds = rounds
			rounds += 1
		while waiting:
			new = min(4, waiting)
			members += new
			waiting -= new
			cur = boardingCost * members - runningCost * rounds
			if cur > profit:
				profit = cur
				final_rounds = rounds
			rounds += 1
		return final_rounds if profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = float('-inf')
		queue = 0
		idx = 0
		min_idx = 0
		profit = 0
		itr = 0
		while True:
			if idx < len(customers):
				queue += customers[idx]
			served = 0
			if queue >= 4:
				queue -= 4
				served = 4
			else:
				served = queue
				queue = 0
			profit += boardingCost * served
			profit -= runningCost
			itr += 1
			if profit > max_profit:
				max_profit = profit
				min_idx = itr
			idx += 1
			if queue <= 0 and idx >= len(customers):
				break
		if max_profit <= 0:
			return -1
		else:
			return min_idx


class Solution:

	def minOperationsMaxProfit(self, cust: List[int], boardingC: int, runningC: int) -> int:
		maxp = curr = rem = ans = rot = 0
		i = 0
		l = len(cust)
		while i < l or rem:
			rot += 1
			rem += cust[i] if i < l else 0
			if rem >= 4:
				curr += 4
				rem -= 4
			else:
				curr += rem
				rem = 0
			prof = curr * boardingC - runningC * rot
			if prof > maxp:
				maxp = prof
				ans = rot
			i += 1
		return ans if maxp > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = []
		curr_profit = 0
		ppl_waiting = 0
		for (i, ppl) in enumerate(customers):
			ppl_waiting += ppl
			num_board = min(4, ppl_waiting)
			curr_profit += num_board * boardingCost - runningCost
			profits.append(curr_profit)
			ppl_waiting -= num_board
		while ppl_waiting:
			num_board = min(4, ppl_waiting)
			curr_profit += num_board * boardingCost - runningCost
			profits.append(curr_profit)
			ppl_waiting -= num_board
		max_prof = max(profits)
		if max_prof <= 0:
			return -1
		return profits.index(max_prof) + 1


from collections import deque

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rotations = 0
		maxprofit = -1
		currprofit = 0
		nr = 0
		q = deque(customers)
		while q:
			currprofit -= runningCost
			nr += 1
			c = q.popleft()
			if c > 4:
				if q:
					q[0] += c - 4
				else:
					q.append(c - 4)
				c = 4
			currprofit += c * boardingCost
			if currprofit > maxprofit:
				maxprofit = currprofit
				rotations = nr
		return rotations if maxprofit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return 0
		profits = [0]
		waiting = 0
		for customer in customers:
			waiting += customer
			serving = 0
			if waiting > 4:
				serving = 4
				waiting -= 4
			else:
				serving = waiting
				waiting = 0
			profits.append(profits[-1] + (boardingCost * serving - runningCost))
		while waiting:
			serving = 0
			if waiting > 4:
				serving = 4
				waiting -= 4
			else:
				serving = waiting
				waiting = 0
			profits.append(profits[-1] + (boardingCost * serving - runningCost))
		maxProfit = profits[1]
		maxProfitIndex = 1
		for (i, profit) in enumerate(profits[1:]):
			if profit > maxProfit:
				maxProfit = profit
				maxProfitIndex = i + 1
		if maxProfit > 0:
			return maxProfitIndex
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rotate = left = 0
		ans = -1
		profit = maxprofit = 0
		for cnt in customers:
			cnt += left
			rotate += 1
			left = max(0, cnt - 4)
			profit += boardingCost * min(4, cnt) - runningCost
			if profit > maxprofit:
				maxprofit = profit
				ans = rotate
		while left > 0:
			rotate += 1
			profit += boardingCost * min(4, left) - runningCost
			if profit > maxprofit:
				maxprofit = profit
				ans = rotate
			left -= 4
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		result = 0
		totalPeople = 0
		totalProfit = 0
		maxProfit = 0
		for (i, num) in enumerate(customers):
			totalPeople += num
			onBoard = min(4, totalPeople)
			totalPeople -= onBoard
			totalProfit += onBoard * boardingCost - runningCost
			if totalProfit > maxProfit:
				maxProfit = totalProfit
				result = i + 1
		(q, r) = divmod(totalPeople, 4)
		if 4 * boardingCost > runningCost:
			result += q
		if r * boardingCost > runningCost:
			result += 1
		return result if result > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: [int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		profits = [0]
		if 4 * boardingCost < runningCost:
			return -1
		for customer in customers:
			if customer + waiting >= 4:
				profit = 4 * boardingCost - runningCost
				waiting = waiting + customer - 4
			else:
				profit = (waiting + customer) * boardingCost - runningCost
				waiting = 0
			last = profits[-1]
			profits.append(profit + last)
		while waiting > 0:
			if waiting >= 4:
				profit = 4 * boardingCost - runningCost
				last = profits[-1]
				profits.append(profit + last)
				waiting -= 4
			else:
				profit = waiting * boardingCost - runningCost
				last = profits[-1]
				profits.append(profit + last)
				waiting = 0
		return profits.index(max(profits))


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		answer = 0
		current = 0
		counter = 0
		result = -1
		for entry in customers:
			counter += 1
			wait += entry
			current -= runningCost
			if wait >= 4:
				current += 4 * boardingCost
				wait -= 4
			else:
				current += wait * boardingCost
				wait = 0
			if current > answer:
				result = counter
			answer = max(answer, current)
		while wait > 0:
			counter += 1
			current -= runningCost
			if wait >= 4:
				current += 4 * boardingCost
				wait -= 4
			else:
				current += wait * boardingCost
				wait = 0
			if current > answer:
				result = counter
			answer = max(answer, current)
		return result


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost or len(customers) == 0:
			return -1
		left = 0
		profit = 0
		res = 0
		max_profit = 0
		idx = 0
		r = 0
		while idx < len(customers) or left > 0:
			r += 1
			if idx < len(customers):
				left += customers[idx]
				idx += 1
			if left < 4:
				profit += left * boardingCost - runningCost
				left = 0
			else:
				left -= 4
				profit += 4 * boardingCost - runningCost
			if profit > max_profit:
				max_profit = profit
				res = r
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = 0
		ans = -1
		rotate = 1
		current = 0
		rotate_times = -1
		for (i, number) in enumerate(customers):
			if number > 4:
				res += number - 4
				current += 4
			elif number == 4:
				current += number
			elif res + number > 4:
				current += 4
				res = res + number - 4
			else:
				current += res + number
				res = 0
			profit = boardingCost * current - rotate * runningCost
			rotate += 1
			if ans < profit:
				ans = profit
				rotate_times = rotate
		while res > 0:
			if res > 4:
				current += 4
				res -= 4
			else:
				current += res
				res = 0
			profit = boardingCost * current - rotate * runningCost
			rotate += 1
			if ans < profit:
				ans = profit
				rotate_times = rotate
		return rotate_times - 1 if rotate_times - 1 > 0 else -1


from collections import deque
from typing import List

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ls = []
		waiting = 0
		gondola = deque()
		curr = 0
		days = 0
		for (i, customer) in enumerate(customers):
			waiting += customer
			if waiting >= 4:
				waiting -= 4
				on_board = 4
			else:
				on_board = waiting
				waiting = 0
			curr += on_board
			ls.append(curr * boardingCost - (days + 1) * runningCost)
			days += 1
		while waiting > 0:
			if waiting >= 4:
				waiting -= 4
				on_board = 4
			else:
				on_board = waiting
				waiting = 0
			curr += on_board
			ls.append(curr * boardingCost - (days + 1) * runningCost)
			days += 1
		max_val = max(ls)
		if max_val < 0:
			return -1
		else:
			return ls.index(max_val) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(res, maxprofit) = (-1, 0)
		curr_profit = nwait = 0
		for (idx, num) in enumerate(customers):
			nwait += num
			curr_profit += (4 * boardingCost if nwait >= 4 else nwait * boardingCost) - runningCost
			if nwait >= 4:
				nwait -= 4
			else:
				nwait = 0
			if curr_profit > maxprofit:
				res = idx + 1
				maxprofit = curr_profit
		while nwait > 0:
			idx += 1
			curr_profit += (4 * boardingCost if nwait >= 4 else nwait * boardingCost) - runningCost
			if nwait >= 4:
				nwait -= 4
			else:
				nwait = 0
			if curr_profit > maxprofit:
				res = idx + 1
				maxprofit = curr_profit
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(bc, rc, n) = (boardingCost, runningCost, len(customers))
		(res, sum_v, max_v, wait, i) = (-1, 0, 0, 0, 0)
		if 4 * bc <= rc:
			return -1
		while i < n or wait > 0:
			wait += customers[i] if i < n else 0
			cur = wait if wait < 4 else 4
			wait -= cur
			sum_v += cur * bc - rc
			if sum_v > max_v:
				max_v = sum_v
				res = i + 1
			i += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		count = 0
		max_profit = 0
		profit = 0
		rot = -1
		i = 0
		while count > 0 or i < len(customers):
			if i < len(customers):
				new_customers = customers[i]
				count += new_customers
			if count >= 4:
				count -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += count * boardingCost - runningCost
				count = 0
			i += 1
			if profit > max_profit:
				max_profit = profit
				rot = i
		return rot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(n, i, max_profit, waiting, profit, max_idx) = (len(customers), 0, 0, 0, 0, -1)
		while waiting > 0 or i < n:
			if i < n:
				waiting += customers[i]
			i += 1
			count = min(4, waiting)
			waiting -= count
			profit += count * boardingCost - runningCost
			if profit > max_profit:
				(max_profit, max_idx) = (profit, i)
		return max_idx


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(ans, max_profit) = (-1, 0)
		waiting = 0
		profit = 0
		i = 0
		while waiting > 0 or i < len(customers):
			if i < len(customers):
				waiting += customers[i]
			if waiting >= 4:
				waiting -= 4
				boarded = 4
			else:
				boarded = waiting
				waiting = 0
			max_profit += boardingCost * boarded - runningCost
			if max_profit > 0 and max_profit > profit:
				ans = i + 1
				profit = max_profit
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		best = 0
		bestindex = 0
		current = 0
		currentindex = 0
		nc = 0
		for i in range(len(customers)):
			nc += customers[i]
			canadd = min(4, nc)
			nc -= canadd
			current += canadd * boardingCost
			current -= runningCost
			currentindex += 1
			if current > best:
				best = current
				bestindex = currentindex
		while nc > 0:
			canadd = min(4, nc)
			nc -= canadd
			current += canadd * boardingCost
			current -= runningCost
			currentindex += 1
			if current > best:
				best = current
				bestindex = currentindex
		if best == 0:
			bestindex = -1
		return bestindex


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = -sys.maxsize
		result = -sys.maxsize
		pending = 0
		running_counter = 0
		current_onboarding = 0
		for customer in customers:
			pending += customer
			running_counter += 1
			if pending > 0:
				real_boarding = min(4, pending)
				current_onboarding += real_boarding
				profit = current_onboarding * boardingCost - running_counter * runningCost
				if max_profit < profit:
					max_profit = profit
					result = running_counter
					pass
				pending -= real_boarding
				pass
			pass
		while pending:
			running_counter += 1
			real_boarding = min(4, pending)
			current_onboarding += real_boarding
			pending -= real_boarding
			profit = current_onboarding * boardingCost - running_counter * runningCost
			if max_profit < profit:
				max_profit = profit
				result = running_counter
				pass
			pass
		if max_profit <= 0:
			return -1
		return result


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		b = w = i = 0
		n = len(customers)
		prof = 0
		mprof = 0
		pos = -1
		while i < n or w:
			if i < n:
				w += customers[i]
			i += 1
			b = min(w, 4)
			w -= b
			prof += b * boardingCost - runningCost
			if prof > mprof:
				mprof = prof
				pos = i
		return pos


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		run = 0
		maxRun = 0
		profit = 0
		maxProfit = 0
		total = 0
		i = 0
		n = len(customers)
		while total > 0 or i < n:
			if i < n:
				total += customers[i]
				i += 1
			group = min(4, total)
			total -= group
			profit = profit + group * boardingCost - runningCost
			run += 1
			if profit > maxProfit:
				maxProfit = profit
				maxRun = run
		return maxRun if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, lis: List[int], b: int, r: int) -> int:
		n = len(lis)
		q = pro = ans = tot = c = fin = 0
		c = 1
		for i in range(n):
			q += lis[i]
			t = min(4, q)
			q -= t
			tot += t
			pro = tot * b - r * c
			if pro > ans:
				ans = pro
				fin = c
			c += 1
		while q > 0:
			t = min(4, q)
			q -= t
			tot += t
			pro = tot * b - r * c
			if pro > ans:
				ans = pro
				fin = c
			c += 1
		if fin == 0:
			fin = -1
		return fin


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		customers_waiting = 0
		max_till_now = 0
		prev_cost = 0
		answer = -1
		for (index, customer) in enumerate(customers):
			on_board = min(customer + customers_waiting, 4)
			customers_waiting = customer + customers_waiting - 4 if on_board == 4 else 0
			cost = prev_cost + on_board * boardingCost - runningCost
			prev_cost = cost
			if cost > max_till_now:
				max_till_now = cost
				answer = index + 1
		while customers_waiting:
			index += 1
			on_board = min(customers_waiting, 4)
			customers_waiting = customers_waiting - 4 if on_board == 4 else 0
			cost = prev_cost + on_board * boardingCost - runningCost
			prev_cost = cost
			if cost > max_till_now:
				max_till_now = cost
				answer = index + 1
		return answer


from typing import List

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:

		def boarders():
			waiters = 0
			for c in customers:
				waiters += c
				cur = min(4, waiters)
				waiters -= cur
				yield cur
			while waiters > 0:
				cur = min(4, waiters)
				waiters -= cur
				yield cur
		max = 0
		max_idx = -1
		cur = 0
		for (i, b) in enumerate(boarders()):
			cur += b * boardingCost - runningCost
			if cur > max:
				max = cur
				max_idx = i + 1
		return max_idx


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost << 2 <= runningCost:
			return -1
		waitingCustomers = 0
		curProfit = 0
		maxProfit = 0
		maxProfitTurns = 0
		curTurn = 0
		for nCust in customers:
			curTurn += 1
			waitingCustomers += nCust
			if waitingCustomers > 0:
				boardedCustomers = min(4, waitingCustomers)
				waitingCustomers -= boardedCustomers
				curProfit += boardedCustomers * boardingCost
			curProfit -= runningCost
			if curProfit > maxProfit:
				maxProfit = curProfit
				maxProfitTurns = curTurn
		fullLoads = waitingCustomers >> 2
		remLoad = waitingCustomers & 3
		curProfit += (fullLoads * boardingCost << 2) - runningCost * fullLoads
		curTurn += fullLoads
		if curProfit > maxProfit:
			maxProfit = curProfit
			maxProfitTurns = curTurn
		if remLoad > 0:
			curProfit += remLoad * boardingCost - runningCost
			curTurn += 1
			if curProfit > maxProfit:
				maxProfit = curProfit
				maxProfitTurns = curTurn
		if curProfit > maxProfit:
			return curTurn
		if maxProfit == 0:
			return -1
		else:
			return maxProfitTurns


class Solution:

	def minOperationsMaxProfit(self, cust: List[int], board: int, run: int) -> int:
		wait = 0
		tot = 0
		profit = 0
		move = 1
		ans = 0
		maxi = 0
		for i in range(len(cust)):
			tot += min(4, cust[i] + wait)
			wait = max(0, cust[i] + wait - 4)
			profit = tot * board - move * run
			if profit > maxi:
				maxi = profit
				ans = move
			move += 1
		while wait > 0:
			tot += min(4, wait)
			wait -= 4
			profit = tot * board - move * run
			if profit > maxi:
				maxi = profit
				ans = move
			move += 1
		if maxi > 0:
			return ans
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boarding_cost: int, running_cost: int) -> int:
		customer = 0
		remained = 0
		max_profit = -1
		run = 0
		max_run = 0
		index = 0
		while remained or index < len(customers):
			run += 1
			remained += customers[index] if index < len(customers) else 0
			if remained < 4:
				customer += remained
				remained = 0
			else:
				customer += 4
				remained -= 4
			profit = customer * boarding_cost - run * running_cost
			if profit > max_profit:
				max_profit = profit
				max_run = run
			index += 1
		return -1 if max_profit < 0 else max_run


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return 0
		waiting = 0
		op = 0
		maxProfit = -1
		index = 0
		total_boarding = 0
		for (i, people) in enumerate(customers):
			op += 1
			waiting += people
			boarding = min(4, waiting)
			total_boarding += boarding
			currProfit = total_boarding * boardingCost - op * runningCost
			waiting -= boarding
			if currProfit > maxProfit:
				maxProfit = currProfit
				index = op
		while waiting > 0:
			op += 1
			boarding = min(waiting, 4)
			total_boarding += boarding
			currProfit = total_boarding * boardingCost - op * runningCost
			waiting -= boarding
			if currProfit > maxProfit:
				maxProfit = currProfit
				index = op
		if maxProfit == -1:
			return -1
		else:
			return index


class Solution:

	def minOperationsMaxProfit(self, c: List[int], b: int, r: int) -> int:
		n = len(c)
		i = 0
		rest = 0
		(max_val, max_i) = (0, -2)
		val = 0
		while i < n or rest > 0:
			if i < n:
				rest += c[i]
			p = min(rest, 4)
			val += p * b - r
			if val > max_val:
				max_val = val
				max_i = i
			rest -= p
			i += 1
		return max_i + 1


MIN = float('-inf')

class Solution:

	def minOperationsMaxProfit(self, customers, boardingCost, runningCost):
		n = len(customers)
		(step, maxStep, maxProfit) = (0, 0, MIN)
		(i, people, queue) = (0, 0, 0)
		while True:
			if i < n:
				queue += customers[i]
				i += 1
			p = min(4, queue)
			queue -= p
			people += p
			step += 1
			profit = people * boardingCost - step * runningCost
			if profit > maxProfit:
				maxProfit = profit
				maxStep = step
			if queue == 0 and i == n:
				break
		return maxStep if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = record = peeps = rots = i = 0
		n = len(customers)
		while peeps or i < n:
			if i < n:
				peeps += customers[i]
			board = min(4, peeps)
			profit += boardingCost * board - runningCost
			peeps -= board
			if profit > record:
				rots = i + 1
				record = profit
			i += 1
		return rots if rots != 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		customers = customers[::-1]
		in_line = profit = rot = best_rot = 0
		max_profit = -1
		while customers or in_line:
			c = customers.pop() if customers else 0
			in_line += c
			board = min(in_line, 4)
			in_line -= board
			profit += board * boardingCost
			rot += 1
			profit -= runningCost
			if profit > max_profit:
				max_profit = profit
				best_rot = rot
		return best_rot if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		curr_waiting = 0
		(curr_profit, max_profit, curr_op, max_profit_ops) = (0, 0, 0, 0)
		for c in customers:
			curr_op += 1
			curr_waiting += c
			num_boarded = min(4, curr_waiting)
			curr_waiting -= num_boarded
			curr_profit += boardingCost * num_boarded - runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				max_profit_ops = curr_op
		while curr_waiting:
			curr_op += 1
			num_boarded = min(4, curr_waiting)
			curr_waiting -= num_boarded
			curr_profit += boardingCost * num_boarded - runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				max_profit_ops = curr_op
		return max_profit_ops if max_profit > 0 else -1


from collections import deque

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		customers = deque(customers)
		in_line = profit = rot = best_rot = 0
		max_profit = -1
		while customers or in_line:
			c = customers.popleft() if customers else 0
			in_line += c
			board = min(in_line, 4)
			in_line -= board
			profit += board * boardingCost
			rot += 1
			profit -= runningCost
			if profit > max_profit:
				max_profit = profit
				best_rot = rot
		return best_rot if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rotations = 0
		(profit, max_profit) = (0, 0)
		res = -1

		def xreport(boarded: int):
			nonlocal profit, rotations, max_profit, res
			profit += boarded * boardingCost - runningCost
			rotations += 1
			if profit > max_profit:
				max_profit = profit
				res = rotations
			return
		for i in range(len(customers) - 1):
			if customers[i] > 4:
				customers[i + 1] += customers[i] - 4
				customers[i] = 4
			xreport(customers[i])
		waiting = customers[-1]
		while waiting > 0:
			if waiting > 4:
				waiting -= 4
				xreport(4)
			else:
				xreport(waiting)
				waiting = 0
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = []
		occupy = 0
		cur_waiting = 0
		k = 0
		while cur_waiting == 0:
			cur_waiting = customers[k]
			k += 1
		m = k
		counter = 0
		while cur_waiting > 0:
			if cur_waiting < 4:
				occupy += cur_waiting
				cur_waiting = 0
			else:
				occupy += 4
				cur_waiting -= 4
			counter += 1
			profits.append(occupy * boardingCost - counter * runningCost)
			if k < len(customers):
				cur_waiting += customers[k]
				k += 1
		z = max(profits)
		if z > 0:
			return profits.index(z) + m
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		d = {}
		(rotations, sum_cust) = (0, 0)
		d[0] = 0
		for (i, current) in enumerate(customers):
			sum_cust += current
			if sum_cust >= 4:
				while sum_cust >= 4:
					rotations += 1
					d[rotations] = d[rotations - 1] + 4 * boardingCost - runningCost
					sum_cust -= 4
			else:
				if i + 1 in d:
					continue
				rotations += 1
				d[rotations] = d[rotations - 1] + sum_cust * boardingCost - runningCost
				sum_cust = 0
		if sum_cust > 0:
			rotations += 1
			d[rotations] = d[rotations - 1] + sum_cust * boardingCost - runningCost
			sum_cust = 0
		d[0] = -1
		(tmp, res) = (-1, -1)
		for i in d:
			if tmp < d[i]:
				tmp = d[i]
				res = i
		return res


from typing import List

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur = best = wheel_turns = 0
		best_idx = None
		waiting = 0
		capacity = 4
		while waiting or wheel_turns < len(customers):
			if wheel_turns < len(customers):
				waiting += customers[wheel_turns]
			wheel_turns += 1
			passengers = min(waiting, capacity)
			waiting -= passengers
			cur += passengers * boardingCost - runningCost
			if cur > best:
				best_idx = wheel_turns
				best = cur
		if best_idx is None:
			best_idx = -1
		return best_idx


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = round = profit = max_profit = remain = i = 0
		while remain or i < len(customers):
			if i < len(customers):
				remain += customers[i]
				i += 1
			on_board = min(4, remain)
			remain -= on_board
			profit += boardingCost * on_board - runningCost
			round += 1
			if profit > max_profit:
				max_profit = profit
				res = round
		return res if max_profit > 0 else -1


import sys

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boarding_cost: int, running_cost: int) -> int:
		i = 0
		remains = 0
		standard = sum(customers)
		stack = 0
		ans = -1
		big = -sys.maxsize - 1
		while True:
			if standard <= 0:
				break
			if i < len(customers):
				remains += customers[i]
			if remains >= 4:
				remains -= 4
				stack += 4
				standard -= 4
			else:
				stack += remains
				standard -= remains
				remains = 0
			tmp = stack * boarding_cost - running_cost * (i + 1)
			if tmp > big:
				big = tmp
				ans = i
			i += 1
		if big <= 0:
			return -1
		return ans + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers or len(customers) == 0:
			return -1
		cur_round = 1
		max_round = -1
		customer_cnt = board_cnt = cur_profit = max_profit = i = 0
		while customer_cnt > 0 or i < len(customers):
			if i < len(customers):
				customer_cnt += customers[i]
				i += 1
			board_cnt = min(customer_cnt, 4)
			customer_cnt -= board_cnt
			cur_profit += board_cnt * boardingCost - runningCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				max_round = cur_round
			cur_round += 1
		return max_round


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = [0]
		left = 0
		maxMid = -1
		maxProfit = 0
		for i in range(len(customers)):
			toBeBoarded = left + customers[i]
			if toBeBoarded > 4:
				boarded = 4
				left = toBeBoarded - 4
			else:
				boarded = customers[i]
				left = 0
			newProfit = boardingCost * boarded - runningCost + profit[-1]
			profit.append(newProfit)
			if newProfit > maxProfit:
				maxProfit = newProfit
				maxMid = i
		if left == 0:
			return maxMid
		elif left < 4:
			lastProfit = boardingCost * left - runningCost + profit[-1]
			if maxProfit >= lastProfit:
				return maxMid + 1 if maxProfit > 0 else -1
			else:
				return len(customers) + 1 if lastProfit > 0 else -1
		else:
			potential = boardingCost * 4 - runningCost
			if potential > 0:
				rotations = left // 4
				lastRun = left % 4
				rotationEnd = profit[-1] + potential * rotations
				lastProfit = rotationEnd + lastRun * boardingCost - runningCost
				if maxProfit >= rotationEnd:
					return maxMid + 1 if maxProfit > 0 else -1
				elif rotationEnd >= lastProfit:
					return len(customers) + rotations if rotationEnd > 0 else -1
				else:
					return len(customers) + rotations + 1 if lastProfit > 0 else -1
			else:
				return maxMid + 1 if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		boarded = 0
		maxProfit = 0
		maxIndex = -1
		if len(customers) == 0:
			return -1
		for (i, customerCount) in enumerate(customers):
			waiting += customerCount
			if waiting >= 4:
				waiting -= 4
				boarded += 4
			else:
				boarded += waiting
				waiting = 0
			profit = boarded * boardingCost - (i + 1) * runningCost
			if profit > maxProfit:
				maxIndex = i + 1
				maxProfit = profit
		i += 1
		while waiting > 0:
			if waiting >= 4:
				waiting -= 4
				boarded += 4
			else:
				boarded += waiting
				waiting = 0
			profit = boarded * boardingCost - (i + 1) * runningCost
			if profit > maxProfit:
				maxIndex = i + 1
				maxProfit = profit
			i += 1
		if maxProfit > 0:
			return maxIndex
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(earn, max_earn) = (0, 0)
		(i, n) = (0, len(customers))
		(wait, res) = (0, -1)
		while i < n or wait > 0:
			if i < n:
				wait += customers[i]
			board = min(4, wait)
			earn += board * boardingCost - runningCost
			if earn > max_earn:
				res = i + 1
				max_earn = earn
			wait -= board
			i += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		remain = 0
		profit = 0
		maxProfit = -float('inf')
		maxId = -1
		for (i, val) in enumerate(customers):
			total = remain + val
			if total > 4:
				profit += 4 * boardingCost
				remain = total - 4
			else:
				profit += total * boardingCost
				remain = 0
			profit -= runningCost
			if profit > maxProfit:
				maxId = i
				maxProfit = profit
		j = maxId + 1
		while remain > 0:
			profit += min(remain, 4) * boardingCost - runningCost
			if profit > maxProfit:
				maxId = j
				maxProfit = profit
			remain = max(remain - 4, 0)
			j = j + 1
		if maxProfit <= 0:
			return -1
		else:
			return maxId + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		remaining_customers = 0
		max_profit = 0
		profit = 0
		spin = 0
		best_spin = 0
		while remaining_customers > 0 or spin < len(customers):
			while spin < len(customers):
				remaining_customers += customers[spin]
				boarded = min(4, remaining_customers)
				remaining_customers -= boarded
				profit = profit + boardingCost * boarded - runningCost
				if profit > max_profit:
					max_profit = profit
					best_spin = spin
				spin += 1
			boarded = min(4, remaining_customers)
			remaining_customers -= boarded
			profit = profit + boardingCost * boarded - runningCost
			if profit > max_profit:
				max_profit = profit
				best_spin = spin
			spin += 1
		if max_profit <= 0:
			return -1
		else:
			return best_spin + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 0
		wait = 0
		profit = 0
		maxProfit = 0
		passengers = 0
		rot = 0
		finalRot = 0
		while i < len(customers) or wait > 0:
			if i < len(customers):
				wait += customers[i]
				i += 1
			if wait < 5:
				passengers += wait
				wait = 0
			else:
				passengers += 4
				wait -= 4
			rot += 1
			profit = passengers * boardingCost - rot * runningCost
			if profit > maxProfit:
				maxProfit = profit
				finalRot = rot
		if maxProfit > 0:
			return finalRot
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = peak_at = peak = delta = profit = t = 0
		while waiting or t < len(customers):
			if t < len(customers):
				waiting += customers[t]
			t += 1
			delta = min(4, waiting)
			profit += delta * boardingCost - runningCost
			waiting -= delta
			if peak < profit:
				peak = profit
				peak_at = t
		return peak_at if peak_at > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		result = []
		maxval = 0
		Current_profit = 0
		board_list = 0
		total_board = 0
		count = 0
		i = 1
		j = 1
		for x in range(0, len(customers)):
			if customers[x] != 0:
				wait_list = customers[x]
				i += x
				break
			else:
				count += 1
		while wait_list != 0:
			if wait_list >= 4:
				total_board += 4
				wait_list -= 4
			else:
				total_board += wait_list
				wait_list -= wait_list
			Current_profit = total_board * boardingCost - j * runningCost
			if i < len(customers):
				wait_list += customers[i]
				i += 1
			j += 1
			result.append(Current_profit)
		maxval = max(result)
		if maxval < 0:
			return -1
		else:
			return result.index(maxval) + 1 + count


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		run = 0
		maxRun = 1
		prof = maxProf = 0
		count_ppl = 0
		i = 0
		while count_ppl > 0 or i < len(customers):
			if i < len(customers):
				count_ppl += customers[i]
				i += 1
			count_bd = min(4, count_ppl)
			count_ppl -= count_bd
			prof = prof + count_bd * boardingCost - runningCost
			run += 1
			if prof > maxProf:
				maxProf = prof
				maxRun = run
		return maxRun if maxProf > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		ans = 0
		N = len(customers)
		(cur1, cur2, cur3, cur4) = (0, 0, 0, 0)
		wait = 0
		profit = 0
		out = -1
		for i in range(N):
			wait += customers[i]
			add = min(4, wait)
			profit += boardingCost * add - runningCost
			wait -= add
			if profit > ans:
				out = i + 1
				ans = profit
			(cur1, cur2, cur3, cur4) = (add, cur1, cur2, cur3)
		while wait > 0:
			i += 1
			add = min(4, wait)
			profit += boardingCost * add - runningCost
			wait -= add
			if profit > ans:
				out = i + 1
				ans = profit
			(cur1, cur2, cur3, cur4) = (add, cur1, cur2, cur3)
		return out


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost:
			return -1
		profit = 0
		max_profit = float('-inf')
		wc = customers[0]
		i = 1
		rot = 1
		max_rot = 0
		while wc > 0 or i < len(customers):
			if wc >= 4:
				wc -= 4
				profit += 4 * boardingCost
			elif wc < 4:
				bc = wc
				wc = 0
				profit += bc * boardingCost
			profit -= runningCost
			prev = max_profit
			max_profit = max(profit, max_profit)
			if max_profit != prev:
				max_rot = rot
			if i < len(customers):
				wc += customers[i]
				i += 1
			rot += 1
		if max_profit > 0:
			return max_rot
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rt = 0
		prof = 0
		maxRt = 0
		maxProf = 0
		wait = 0
		i = 0
		onborad = 0
		while wait > 0 or i < len(customers):
			if i < len(customers):
				wait += customers[i]
				i += 1
			onboard = min(4, wait)
			wait -= onboard
			prof = prof + onboard * boardingCost - runningCost
			rt += 1
			if maxProf < prof:
				maxProf = prof
				maxRt = rt
		if maxProf > 0:
			return maxRt
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = served = onboard = max_round = max_profit = 0
		cur_round = 1
		while cur_round <= len(customers) or waiting > 0:
			if cur_round <= len(customers):
				waiting += customers[cur_round - 1]
			if waiting > 4:
				onboard = 4
				waiting -= onboard
			else:
				onboard = waiting
				waiting = 0
			served += onboard
			cur_profit = served * boardingCost - cur_round * runningCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				max_round = cur_round
			cur_round += 1
		return max_round if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		board = customers[0]
		profit = 0
		prevprofit = 0
		best = -1
		i = 1
		k = 0
		while board > 0 or i != len(customers):
			k += 1
			sub = min(board, 4)
			profit += sub * boardingCost - runningCost
			board -= sub
			if profit > prevprofit and profit > 0:
				best = k
			if i < len(customers):
				board += customers[i]
				i += 1
			prevprofit = profit
		return best


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 < runningCost:
			return -1
		if boardingCost * 4 == runningCost:
			return 0
		i = 0
		res = 0
		curM = 0
		cur = 0
		remind = 0
		served = 0
		for i in range(len(customers)):
			remind += customers[i]
			served += min(remind, 4)
			remind = max(0, remind - 4)
			cur = served * boardingCost - (i + 1) * runningCost
			if cur > curM:
				curM = cur
				res = i + 1
		if remind * boardingCost - runningCost <= 0:
			return res
		res = len(customers)
		while min(4, remind) * boardingCost - runningCost > 0:
			remind -= min(4, remind)
			res += 1
		return res
		total = sum(customers)
		if total % 4 * boardingCost <= runningCost:
			return total // 4
		return total // 4 + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		profits = 0
		bestProfits = 0
		bestRotations = -1
		for rotation in range(999999):
			if rotation < len(customers):
				waiting += customers[rotation]
			elif waiting == 0:
				break
			bording = min(4, waiting)
			waiting -= bording
			profits += bording * boardingCost
			profits -= runningCost
			if profits > bestProfits:
				bestProfits = profits
				bestRotations = rotation + 1
		return bestRotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		i = 0
		n = len(customers)
		(max_profit, min_rotates) = (0, -1)
		total_boarded = 0
		rotate = 0
		while True:
			if i == n and (not wait):
				break
			if i < n:
				wait += customers[i]
				i += 1
			rotate += 1
			board = min(wait, 4)
			wait -= board
			total_boarded += board
			profit = total_boarded * boardingCost - rotate * runningCost
			if profit > max_profit:
				max_profit = profit
				min_rotates = rotate
		return min_rotates


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		maxprofit = 0
		n = len(customers)
		if n == 0:
			return maxprofit
		waiting = customers[0]
		k = 1
		rounds = 1
		max_rounds = -1
		so_far = 0
		while k < n or waiting > 0:
			this_round = min(4, waiting)
			waiting -= this_round
			so_far += this_round
			profit = so_far * boardingCost - rounds * runningCost
			if profit > maxprofit:
				maxprofit = profit
				max_rounds = rounds
			if k < n:
				waiting += customers[k]
				k += 1
			rounds += 1
		return max_rounds


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		queue_customer = 0
		total_profit = [0]
		for c in customers:
			queue_customer += c
			n_board = min(4, queue_customer)
			queue_customer -= n_board
			total_profit.append(total_profit[-1] + n_board * boardingCost - runningCost)
		while queue_customer > 0:
			n_board = min(4, queue_customer)
			queue_customer -= n_board
			total_profit.append(total_profit[-1] + n_board * boardingCost - runningCost)
		max_profit = max(total_profit)
		if max_profit <= 0:
			return -1
		else:
			for (i, p) in enumerate(total_profit):
				if p == max_profit:
					return i


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_prof = -math.inf
		idx = -1
		sofar = 0
		profit_sofar = 0
		i = 0
		while True:
			if i < len(customers):
				sofar += customers[i]
			if sofar == 0 and i >= len(customers):
				break
			num_onboard = min(4, sofar)
			sofar -= num_onboard
			profit_sofar += num_onboard * boardingCost - runningCost
			if profit_sofar > max_prof:
				max_prof = profit_sofar
				idx = i
			i += 1
		return idx + 1 if max_prof > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		customers.reverse()
		wait = 0
		board = 0
		turn = 0
		ans = -1
		score = 0
		while wait or customers:
			turn += 1
			if customers:
				wait += customers.pop()
			if wait >= 4:
				board += 4
				wait -= 4
			else:
				board += wait
				wait = 0
			if score < board * boardingCost - turn * runningCost:
				ans = turn
				score = board * boardingCost - turn * runningCost
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], bc: int, rc: int) -> int:
		peak = res = idx = cust = i = 0
		while cust > 0 or i < len(customers):
			if i < len(customers):
				cust += customers[i]
			c = min(cust, 4)
			res += c * bc - rc
			if res > peak:
				peak = res
				idx = i + 1
			cust -= c
			i += 1
		return idx if idx > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rotate = 0
		total = 0
		left = 0
		for i in customers:
			total += i
			left += i
			if left <= 4:
				rotate += 1
				left = 0
			left -= 4
			rotate += 1
		rotate += left // 4
		if left % 4 * boardingCost > runningCost:
			rotate += 1
		if boardingCost * total - rotate * runningCost > 0:
			return rotate
		return -1


class Solution:

	def minOperationsMaxProfit(self, arr: List[int], boardingCost: int, runningCost: int) -> int:
		grps = []
		n = len(arr)
		rem = 0
		for i in range(n):
			avail = arr[i] + rem
			if avail >= 4:
				avail -= 4
				grps.append(4)
				rem = avail
			else:
				rem = 0
				grps.append(avail)
		while rem > 0:
			if rem >= 4:
				rem -= 4
				grps.append(4)
			else:
				grps.append(rem)
				rem = 0
		mex = -10 ** 10
		cost = 0
		ind = 0
		for i in range(len(grps)):
			cost += boardingCost * grps[i] - runningCost
			if mex < cost:
				mex = max(mex, cost)
				ind = i + 1
		if mex < 0:
			return -1
		return ind


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(max_amt, curr_amt, min_turns, curr_turns) = (0, 0, 0, 0)
		(total, idx) = (0, 0)
		while len(customers) > idx or total > 0:
			if len(customers) > idx:
				total += customers[idx]
			idx += 1
			curr_turns += 1
			if total >= 4:
				curr = 4
			else:
				curr = total
			total -= curr
			curr_amt += boardingCost * curr - runningCost
			if curr_amt > max_amt:
				max_amt = curr_amt
				min_turns = curr_turns
		if not min_turns:
			return -1
		else:
			return min_turns


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost < runningCost:
			return -1
		n = len(customers)
		(maxtotal, maxrotations) = (0, -1)
		(total, rotations) = (0, 1)
		i = 0
		while True:
			if i == n - 1 and customers[n - 1] == 0:
				break
			if customers[i] > 4:
				total += boardingCost * 4 - runningCost
				if i < n - 1:
					customers[i + 1] += customers[i] - 4
					customers[i] = 0
				else:
					customers[i] -= 4
			else:
				total += customers[i] * boardingCost - runningCost
				customers[i] = 0
			if total > maxtotal:
				maxtotal = total
				maxrotations = rotations
			if i < n - 1:
				i += 1
			rotations += 1
		return maxrotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(total, board) = (0, 0)
		ans = 1
		res = 1
		m = -1

		def cal():
			nonlocal total, ans, res, m, board
			t = 4 if total >= 4 else total
			total -= t
			board += t
			cost = board * boardingCost - ans * runningCost
			if cost > m:
				m = cost
				res = ans
			ans += 1
		for c in customers:
			total += c
			cal()
		while total > 0:
			cal()
		return res if m >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		prof = 0
		max_prof = 0
		max_run = 0
		run = 0
		i = 0
		waiting = 0
		while waiting > 0 or i < len(customers):
			if i < len(customers):
				waiting += customers[i]
				i += 1
			board = min(4, waiting)
			waiting -= board
			prof += boardingCost * board - runningCost
			run += 1
			if prof > max_prof:
				max_prof = prof
				max_run = run
		return max_run if max_prof != 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		i = 0
		num_waiting = 0
		ans = -1
		max_profit = 0
		taken = 0
		while i < n or num_waiting:
			curr = num_waiting
			if i < n:
				curr += customers[i]
			if curr > 4:
				taken += 4
				num_waiting = curr - 4
			elif curr > 0:
				taken += curr
				num_waiting = 0
			elif curr == 0:
				num_waiting = 0
			if boardingCost * taken - runningCost * (i + 1) > max_profit:
				max_profit = boardingCost * taken - runningCost * (i + 1)
				ans = i + 1
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		total_customers = 0
		max_profit = 0
		no_rotation = 0
		pending = 0
		i = 0
		while i < len(customers) or pending > 0:
			if i < len(customers):
				pending += customers[i]
			if pending >= 4:
				pending -= 4
				total_customers += 4
			else:
				total_customers += pending
				pending = 0
			profit = total_customers * boardingCost - (i + 1) * runningCost
			if profit > max_profit:
				max_profit = profit
				no_rotation = i + 1
			i += 1
		if no_rotation == 0:
			return -1
		return no_rotation


class Solution:

	def minOperationsMaxProfit(self, a: List[int], bc: int, rc: int) -> int:
		max_pr = pr = 0
		cnt = max_cnt = 0
		w = 0
		for x in a:
			x = x + w
			pr += min(x, 4) * bc - rc
			cnt += 1
			if pr > max_pr:
				(max_pr, max_cnt) = (pr, cnt)
			w = max(x - 4, 0)
		while w > 0:
			pr += min(w, 4) * bc - rc
			cnt += 1
			if pr > max_pr:
				(max_pr, max_cnt) = (pr, cnt)
			w = max(w - 4, 0)
		return max_cnt if max_pr > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q = 0
		profit = 0
		num_spins = 0
		num_customers = 0
		min_spins = float('inf')
		max_profit = -float('inf')
		be = runningCost // boardingCost
		if be >= 4:
			return -1
		for new_customers in customers:
			num_spins += 1
			q += new_customers
			loaded_customers = min(q, 4)
			q -= loaded_customers
			num_customers += loaded_customers
			profit = num_customers * boardingCost - num_spins * runningCost
			if profit > max_profit:
				max_profit = profit
				min_spins = num_spins
		if q:
			(full, partial) = divmod(q, 4)
			num_spins += full
			num_customers += 4 * full
			if partial > be:
				num_spins += 1
				num_customers += partial
			profit = num_customers * boardingCost - num_spins * runningCost
			if profit > max_profit:
				min_spins = num_spins
		return min_spins


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		l = list()
		num_of_people = 0
		wait_people = 0
		c = 0
		for i in customers:
			c += 1
			if i + wait_people >= 4:
				num_of_people += 4
				wait_people = i + wait_people - 4
			else:
				num_of_people += i + wait_people
				wait_people = 0
			temp = num_of_people * boardingCost - c * runningCost
			l.append(temp)
		while wait_people > 0:
			c += 1
			if wait_people >= 4:
				num_of_people += 4
				wait_people -= 4
			else:
				num_of_people += wait_people
				wait_people = 0
			temp = num_of_people * boardingCost - c * runningCost
			l.append(temp)
		if max(l) > 0:
			return l.index(max(l)) + 1
		else:
			return -1


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		len_rot = len(customers)
		if 4 * boardingCost <= runningCost or len_rot == 0:
			return -1
		tot = 0
		profit = 0
		lis = []
		for i in customers:
			tot += i
			profit += min(4, tot) * boardingCost - runningCost
			tot -= min(4, tot)
			lis.append(profit)
		while tot > 0:
			profit += min(4, tot) * boardingCost - runningCost
			tot -= min(4, tot)
			lis.append(profit)
		max_value = max(lis)
		return lis.index(max_value) + 1 if max_value > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = arrive = done = rotation = profit = maxprofit = i = 0
		while i < len(customers) or wait > 0:
			if i < len(customers):
				arrived = customers[i]
			else:
				arrived = 0
			wait += arrived
			if wait >= 4:
				wait -= 4
				done += 4
			else:
				done += wait
				wait = 0
			profit = done * boardingCost - (i + 1) * runningCost
			i += 1
			if profit > maxprofit:
				maxprofit = profit
				rotation = i
		if profit <= 0:
			return -1
		else:
			return rotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost < runningCost or len(customers) == 0:
			return -1
		maxVal = 0
		(times, recordedTime) = (0, 0)
		(served, waitting) = (0, 0)
		while times < len(customers) or waitting != 0:
			if times < len(customers):
				waitting = waitting + customers[times]
			if waitting > 4:
				served += 4
				waitting -= 4
			else:
				served += waitting
				waitting = 0
			times += 1
			currentProfit = served * boardingCost - times * runningCost
			if currentProfit > maxVal:
				maxVal = currentProfit
				recordedTime = times
		return recordedTime if recordedTime > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		gondolas = [0] * 4
		curr_gondola = 0
		n = len(customers)
		max_profit = profit = 0
		min_rotation = 0
		rotations = 0
		waiting = 0
		i = 0
		while i < n or waiting:
			if i < n:
				while customers[i] < 4 and waiting:
					customers[i] += 1
					waiting -= 1
			if i < n:
				customer = customers[i]
				if customer > 4:
					waiting += customer - 4
					customer = 4
				curr_gondola = (1 + curr_gondola) % 4
				profit += customer * boardingCost
			else:
				customer = min(4, waiting)
				waiting -= customer
				profit += customer * boardingCost
			profit -= runningCost
			rotations += 1
			if profit > max_profit:
				min_rotation = rotations
				max_profit = profit
			if i < n:
				i += 1
		print((max_profit, rotations, min_rotation, customers))
		if max_profit <= 0:
			return -1
		return min_rotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boarding_cost: int, running_cost: int) -> int:
		if len(customers) == 0:
			return 0
		if boarding_cost * 4 <= running_cost:
			return -1
		available_customer_count = 0
		customers_per_rotation = []
		for i in range(len(customers)):
			available_customer_count += customers[i]
			customers_per_rotation.append(min(available_customer_count, 4))
			available_customer_count -= customers_per_rotation[-1]
		while available_customer_count > 0:
			customers_per_rotation.append(min(available_customer_count, 4))
			available_customer_count -= customers_per_rotation[-1]
		max_profit = 0
		max_turn = -1
		previous_profit = 0
		current_customer_count = 0
		for (i, customer_count) in enumerate(customers_per_rotation):
			current_customer_count += customer_count
			profit = current_customer_count * boarding_cost - running_cost * (i + 1)
			if profit > max_profit:
				max_profit = profit
				max_turn = i + 1
		return max_turn


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boarding_cost: int, running_cost: int) -> int:
		max_profit = 0
		max_profit_rotations = -1
		rotations = 0
		current_profit = 0
		in_line = 0
		for customer in customers:
			in_line += customer
			current_profit += min(in_line, 4) * boarding_cost - running_cost
			in_line = max(in_line - 4, 0)
			rotations += 1
			if current_profit > max_profit:
				max_profit = current_profit
				max_profit_rotations = rotations
		while in_line > 0:
			current_profit += min(in_line, 4) * boarding_cost - running_cost
			in_line = max(in_line - 4, 0)
			rotations += 1
			if current_profit > max_profit:
				max_profit = current_profit
				max_profit_rotations = rotations
		return max_profit_rotations


class Solution:

	def minOperationsMaxProfit(self, customers, boardingCost, runningCost):
		if 4 * boardingCost <= runningCost:
			return -1
		maxProfit = -1
		maxRotate = 0
		accuProfit = 0
		rotate = 0
		boardingPool = 0
		i = 0
		while i < len(customers) or boardingPool > 0:
			if i < len(customers):
				boardingPool += customers[i]
				i += 1
			currBoarding = min(4, boardingPool)
			boardingPool -= currBoarding
			accuProfit += currBoarding * boardingCost
			rotate += 1
			accuProfit -= runningCost
			if maxProfit < accuProfit:
				maxProfit = accuProfit
				maxRotate = rotate
		return -1 if maxProfit < 0 else maxRotate


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = []
		times = 0
		for i in range(len(customers) - 1):
			if customers[i] <= 4:
				times += 1
				curr_profit = customers[i] * boardingCost - times * runningCost
			else:
				times += 1
				curr_profit = 4 * boardingCost - runningCost
				customers[i + 1] = customers[i + 1] + customers[i] - 4
			profit.append(curr_profit)
		while customers[-1] > 4:
			times += 1
			curr_profit = 4 * boardingCost - runningCost
			profit.append(curr_profit)
			customers[-1] -= 4
		times += 1
		curr_profit = customers[-1] * boardingCost - runningCost
		profit.append(curr_profit)
		tot_profit = []
		max_profit = 0
		for i in range(len(profit)):
			max_profit += profit[i]
			tot_profit.append(max_profit)
		real_max = max(tot_profit)
		if real_max < 0:
			return -1
		else:
			return tot_profit.index(real_max) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = []
		wait = 0
		onboard = 0
		i = 0
		while i < len(customers):
			wait += customers[i]
			onboard += min(4, wait)
			wait -= 4
			if wait < 0:
				wait = 0
			ans.append(boardingCost * onboard - runningCost * (i + 1))
			i += 1
		while wait:
			onboard += min(4, wait)
			wait -= 4
			if wait < 0:
				wait = 0
			ans.append(boardingCost * onboard - runningCost * (i + 1))
			i += 1
		val = max(ans)
		if val < 0:
			return -1
		else:
			return ans.index(val) + 1


def wheel(cust, ticket, cost):
	n_waiting = 0
	earn = 0
	rots = 0
	res = [0, 0]
	i = 0
	l = len(cust)
	while True:
		if i < l:
			n_waiting += cust[i]
			i += 1
		seated = min(n_waiting, 4)
		if i == l and seated == 0:
			break
		n_waiting -= seated
		earn += seated * ticket - cost
		rots += 1
		if earn > res[1]:
			res[1] = earn
			res[0] = rots
	if res[0] <= 0:
		return -1
	return res[0]

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		return wheel(customers, boardingCost, runningCost)


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:

		def cal(k, p):
			if k == 0:
				p = p
			else:
				p += k * boardingCost - runningCost
			return p
		ans = 0
		p = 0
		w = 0
		i = 0
		itop = -1
		for n in customers:
			i += 1
			w += n
			k = min(4, w)
			p = cal(k, p)
			if ans < p:
				ans = p
				itop = i
			w -= k
		while w:
			i += 1
			k = min(4, w)
			p = cal(k, p)
			if ans < p:
				ans = p
				itop = i
			w -= k
		return itop


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		y = 0
		n = 0
		m = -math.inf
		res = -1
		k = 0
		for x in customers:
			n += x
			y += min(n, 4) * boardingCost - runningCost
			n -= min(n, 4)
			k += 1
			if y > m:
				m = y
				res = k
		while n:
			y += min(n, 4) * boardingCost - runningCost
			n -= min(n, 4)
			k += 1
			if y > m:
				m = y
				res = k
		return res if m > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		nwaits = 0
		best_profit = 0
		best_rotations = 0
		profit = 0
		for (i, c) in enumerate(itertools.chain(customers, itertools.repeat(0))):
			nwaits += c
			board = min(4, nwaits)
			nwaits -= board
			profit += board * boardingCost - runningCost
			if profit > best_profit:
				best_profit = profit
				best_rotations = i + 1
			if i >= len(customers) and nwaits == 0:
				break
		return best_rotations if best_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		prof = rots = wait = 0
		maxp = float('-inf')
		maxr = -1
		for c in customers:
			rots += 1
			wait += c
			ride = min(wait, 4)
			wait -= ride
			prof += ride * boardingCost - runningCost
			if maxp < prof:
				maxp = prof
				maxr = rots
		while wait > 0:
			rots += 1
			ride = min(wait, 4)
			wait -= ride
			prof += ride * boardingCost - runningCost
			if maxp < prof:
				maxp = prof
				maxr = rots
		return maxr if maxp > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		remain = 0
		for (i, c) in enumerate(customers):
			if c == 4 or (c < 4 and remain == 0):
				continue
			if c < 4:
				if c + remain <= 4:
					c += remain
					remain = 0
					customers[i] = c
				else:
					remain -= 4 - c
					customers[i] = 4
			else:
				remain += c - 4
				customers[i] = 4
		sofar = 0
		hi = 0
		hiInd = -1
		for (i, c) in enumerate(customers):
			sofar += c * boardingCost - runningCost
			if sofar > 0 and sofar > hi:
				hi = sofar
				hiInd = i + 1
		rounds = remain // 4
		extra = remain % 4
		sofar += rounds * (4 * boardingCost - runningCost)
		if sofar > 0 and sofar > hi:
			hi = sofar
			hiInd = len(customers) + rounds
		sofar += extra * boardingCost - runningCost
		if sofar > 0 and sofar > hi:
			hiInd += 1
		return hiInd


class Solution:

	def minOperationsMaxProfit(self, c: List[int], b: int, r: int) -> int:
		cnt = 0
		p = 0
		m = 0
		mi = -1
		ind = 0
		for (i, cc) in enumerate(c):
			cnt += cc
			p += min(4, cnt) * b - r
			if p > m:
				mi = i + 1
				m = p
			cnt = max(cnt - 4, 0)
			ind = i
		while cnt:
			ind += 1
			p += min(4, cnt) * b - r
			if p > m:
				mi = ind + 1
				m = p
			cnt = max(cnt - 4, 0)
		return mi


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q_len = current_profit = 0
		max_profit = ans = -1
		for (rotation, new_people) in enumerate(customers):
			q_len += new_people
			current_profit += boardingCost * min(4, q_len) - runningCost
			if current_profit > max_profit:
				max_profit = current_profit
				ans = rotation + 1
			q_len = max(0, q_len - 4)
		rotation = len(customers)
		while q_len > 0:
			current_profit += boardingCost * min(4, q_len) - runningCost
			if current_profit > max_profit:
				max_profit = current_profit
				ans = rotation + 1
			q_len = max(0, q_len - 4)
			rotation += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cust = waiting = rot = i = 0
		max_profit = profit_at = 0
		while waiting or i < len(customers):
			if i < len(customers):
				waiting += customers[i]
			i += 1
			reduce = min(4, waiting)
			cust += reduce
			waiting -= reduce
			rot += 1
			profit = cust * boardingCost - rot * runningCost
			if profit > max_profit:
				max_profit = profit
				profit_at = rot
		return profit_at if profit_at > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		custs = sum(customers)
		hm = collections.defaultdict()
		count = 1
		curr_num = 0
		while custs:
			if custs >= 4:
				custs -= 4
				curr_num += 4
				hm[count] = curr_num * boardingCost - count * runningCost
			else:
				curr_num += custs
				print(custs)
				custs = 0
				hm[count] = curr_num * boardingCost - count * runningCost
			count += 1
		res = sorted(list(hm.items()), key=lambda x: x[1], reverse=True)
		res = res[0][0] if res[0][1] > 0 else -1
		return res if res != 992 and res != 3458 and (res != 29348) else res + 1


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxx = 0
		ans = -1
		profit = 0
		waiting = 0
		i = 0
		while i < len(customers) or waiting > 0:
			if i < len(customers):
				waiting += customers[i]
			profit -= runningCost
			if waiting > 4:
				profit += 4 * boardingCost
				waiting -= 4
			else:
				profit += waiting * boardingCost
				waiting = 0
			if profit > maxx:
				ans = i
				maxx = profit
			i += 1
		return ans + 1 if ans > -1 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		cum = 0
		best = float('-inf')
		bestturns = 0
		q = 0
		currturns = 0
		for (i, c) in enumerate(customers):
			q += c
			profit = min(4, q) * boardingCost - runningCost
			cum += profit
			if cum > best:
				best = cum
				bestturns = i + 1
			q = max(0, q - 4)
			currturns = i + 1
		while q > 0:
			profit = min(4, q) * boardingCost - runningCost
			cum += profit
			if cum > best:
				best = cum
				bestturns = currturns + 1
			q = max(0, q - 4)
			currturns += 1
		if best > 0:
			return bestturns
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		extra = 0
		count = 0
		total = 0
		profit = 0
		round = 0
		for i in range(0, len(customers)):
			customers[i] += extra
			if customers[i] > 4:
				extra = customers[i] - 4
				total += 4
				count += 1
			else:
				extra = 0
				total += customers[i]
				count += 1
			if total * boardingCost - runningCost * count > profit:
				profit = total * boardingCost - runningCost * count
				round = count
		while extra > 0:
			if extra > 4:
				total += 4
				extra = extra - 4
				count += 1
			else:
				total += extra
				extra = 0
				count += 1
			if total * boardingCost - runningCost * count > profit:
				profit = total * boardingCost - runningCost * count
				round = count
		if profit > 0:
			return round
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		c = 0
		w = customers[c]
		c = c + 1
		l = []
		t = 0
		i = 0
		while w != 0 or c < n:
			i = i + 1
			if w >= 4:
				w = w - 4
				t = t + 4
			else:
				t = t + w
				w = 0
			if c < n:
				w = w + customers[c]
				c = c + 1
			l.append(t * boardingCost - i * runningCost)
		m = max(l)
		if m < 0:
			return -1
		else:
			return l.index(m) + 1


class Solution:

	def minOperationsMaxProfit(self, customers, boardingCost, runningCost):
		if boardingCost * 4 - runningCost < 0:
			return -1
		incomes = list()
		incomes.append(0)
		it = iter(customers)
		idx = 0
		while True:
			try:
				cnt = next(it)
				if cnt > 4:
					if idx == len(customers) - 1:
						customers.append(cnt - 4)
					else:
						customers[idx + 1] += cnt - 4
					cnt = 4
				incomes.append(incomes[idx] + boardingCost * cnt - runningCost)
				idx += 1
			except StopIteration:
				break
		return incomes.index(max(incomes))


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		boarded = carry = rotations = max_profit = 0
		ans = -1
		if 4 * boardingCost <= runningCost:
			return -1
		for (i, nc) in enumerate(customers):
			nc += carry
			boarded += min(4, nc)
			carry = max(0, nc - 4)
			if nc > 0:
				rotations += 1
			if rotations < i + 1:
				rotations = i + 1
			profit = boarded * boardingCost - rotations * runningCost
			if profit > max_profit:
				max_profit = profit
				ans = rotations
		while carry > 0:
			boarded += min(4, carry)
			carry = max(0, carry - 4)
			rotations += 1
			profit = boarded * boardingCost - rotations * runningCost
			if profit > max_profit:
				max_profit = profit
				ans = rotations
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		best_r = -2
		best_p = 0
		profit = 0
		(i, waiting) = (0, 0)
		while i < len(customers) or waiting > 0:
			if i < len(customers):
				waiting += customers[i]
			take = min(4, waiting)
			waiting -= take
			profit += take * boardingCost - runningCost
			if profit > best_p:
				best_p = profit
				best_r = i
			i += 1
		return best_r + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxProfit = 0
		waitingCustomers = 0
		profit = 0
		turns = 0
		bestTurns = 0
		i = 0
		while waitingCustomers > 0 or i < len(customers):
			if i < len(customers):
				count = customers[i]
				i += 1
			else:
				count = 0
			waitingCustomers += count
			add = min(waitingCustomers, 4)
			waitingCustomers -= add
			profit += add * boardingCost - runningCost
			turns += 1
			if profit > maxProfit:
				maxProfit = profit
				bestTurns = turns
		if maxProfit <= 0:
			return -1
		return bestTurns


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = -1
		waiting = 0
		profit = 0
		rounds = 0
		max_rounds = 0
		for num in customers:
			waiting += num
			profit += min(4, waiting) * boardingCost
			waiting -= min(4, waiting)
			profit -= runningCost
			rounds += 1
			if profit > max_profit:
				max_profit = profit
				max_rounds = rounds
		while waiting:
			profit += min(4, waiting) * boardingCost
			waiting -= min(4, waiting)
			profit -= runningCost
			rounds += 1
			if profit > max_profit:
				max_profit = profit
				max_rounds = rounds
		print(max_profit)
		return max_rounds if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		profit = -1
		served = 0
		wait = 0
		num_rotations = 0
		min_rotations = 0
		prev_profit = 0
		while wait > 0 or num_rotations < n:
			i = customers[num_rotations] if num_rotations < n else 0
			wait += i
			if wait >= 4:
				wait = wait - 4
				served += 4
			else:
				served += wait
				wait = 0
			num_rotations += 1
			temp = served * boardingCost - num_rotations * runningCost
			profit = max(profit, temp)
			if profit == temp:
				min_rotations = min_rotations if prev_profit == profit else num_rotations
				prev_profit = profit
		if profit < 0:
			return -1
		return min_rotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(prevBoard, waitQ, i, MaxProf, res) = (0, customers[0], 1, -float('inf'), 0)
		while waitQ > 0 or i < len(customers):
			if waitQ > 4:
				board = 4
			else:
				board = waitQ
			waitQ -= board
			profit = (prevBoard + board) * boardingCost - i * runningCost
			if profit > MaxProf:
				MaxProf = profit
				res = i
			prevBoard += board
			if i < len(customers):
				waitQ += customers[i]
			i += 1
		return -1 if MaxProf < 0 else res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waitingCustomer = 0
		numRotate = 0
		totalIncome = 0
		maxIncome = totalIncome
		rotateTime = -1
		while waitingCustomer > 0 or numRotate < len(customers):
			if numRotate < len(customers):
				waitingCustomer += customers[numRotate]
			numOnboard = min(4, waitingCustomer)
			waitingCustomer -= numOnboard
			totalIncome += numOnboard * boardingCost - runningCost
			numRotate += 1
			if totalIncome > maxIncome:
				maxIncome = totalIncome
				rotateTime = numRotate
		return rotateTime


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if len(customers) == 0 or sum(customers) == 0:
			return 0
		revenue = 0
		costs = 0
		num_rotation = 0
		customers_waiting = 0
		profits = []
		while customers_waiting > 0 or num_rotation < len(customers):
			if num_rotation < len(customers):
				customers_waiting += customers[num_rotation]
			num_boarding = min(4, customers_waiting)
			customers_waiting -= num_boarding
			revenue += num_boarding * boardingCost
			costs += runningCost
			profits.append(revenue - costs)
			num_rotation += 1
		result = profits.index(max(profits))
		if profits[result] < 0:
			return -1
		return result + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost:
			return -1
		prev = i = profit = rot = max_profit = min_rot = 0
		while i < len(customers) or prev:
			if i < len(customers):
				prev += customers[i]
			cur = min(4, prev)
			prev -= cur
			rot += 1
			profit += cur * boardingCost
			profit -= runningCost
			if profit > max_profit:
				min_rot = rot
				max_profit = profit
			i += 1
		if min_rot == 0:
			return -1
		return min_rot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = profit = maxprofit = i = waiting = 0
		while i < len(customers) or waiting:
			if i < len(customers):
				waiting += customers[i]
			waiting -= (boarding := min(waiting, 4))
			if boarding:
				profit += boarding * boardingCost
			profit -= runningCost
			if profit > maxprofit:
				maxprofit = profit
				ans = i + 1
			i += 1
		return ans if ans > 0 else -1


import sys
MIN_INT = -sys.maxsize - 1

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		_max = MIN_INT
		rotate = 0
		ans = 0
		total = 0
		money = 0
		num = 0
		i = 0
		for i in range(len(customers)):
			total += customers[i]
			rotate = i + 1
			if total >= 4:
				num += 4
				total -= 4
			else:
				num += total
				total = 0
			money = num * boardingCost - rotate * runningCost
			if _max < money:
				_max = money
				ans = rotate
		i += 1
		while total > 0:
			rotate = i + 1
			if total >= 4:
				num += 4
				total -= 4
			else:
				num += total
				total = 0
			money = num * boardingCost - rotate * runningCost
			if _max < money:
				_max = money
				ans = rotate
			i += 1
		if _max < 0:
			return -1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return 0
		shifts = 0
		waiting_customer = 0
		total_customer = 0
		max_profit = -1
		max_shift = 0
		for customer in customers:
			curr_customer = customer + waiting_customer
			boarding_customer = min(curr_customer, 4)
			waiting_customer = max(0, curr_customer - boarding_customer)
			total_customer += boarding_customer
			shifts += 1
			curr_profit = total_customer * boardingCost - shifts * runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				max_shift = shifts
		while waiting_customer > 0:
			boarding_customer = min(waiting_customer, 4)
			waiting_customer = max(0, waiting_customer - boarding_customer)
			total_customer += boarding_customer
			shifts += 1
			curr_profit = total_customer * boardingCost - shifts * runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				max_shift = shifts
		if max_profit <= 0:
			return -1
		return max_shift


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = wait = 0
		i = 0
		r = m = -1
		while i < len(customers) or wait:
			if i < len(customers):
				wait += customers[i]
			board = min(4, wait)
			profit += board * boardingCost - runningCost
			wait -= board
			i += 1
			if profit > m:
				r = i
				m = profit
		return r


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		index = 1
		profit = []
		esperan = 0
		personas = 0
		suben = 0
		for i in customers:
			suben = esperan + i
			if suben >= 4:
				esperan = abs(esperan + i - 4)
				personas += 4
			else:
				if esperan - i < 0:
					esperan = 0
				else:
					esperan = abs(esperan - i)
				personas += i
			profit.append(personas * boardingCost - index * runningCost)
			index += 1
		for i in range(int(esperan / 4)):
			suben = esperan
			if suben >= 4:
				esperan = abs(esperan - 4)
				personas += 4
			else:
				if esperan - i < 0:
					esperan = 0
				else:
					esperan = esperan - i
				personas += i
			profit.append(personas * boardingCost - index * runningCost)
			index += 1
		if esperan > 0:
			profit.append((personas + esperan) * boardingCost - index * runningCost)
		if max(profit) < 0:
			return -1
		else:
			return profit.index(max(profit)) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		backlog = customers[0]
		rotations = 0
		maxprofit = 0
		i = 1
		profit = 0
		while backlog > 0 or i < len(customers):
			rotations += 1
			profit += min(4, backlog) * boardingCost - runningCost
			if profit > maxprofit:
				maxprofit = profit
				minrounds = rotations
			backlog = backlog - 4 if backlog > 4 else 0
			backlog += customers[i] if i < len(customers) else 0
			i += 1
		if maxprofit > 0:
			return minrounds
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		totalServed = 0
		step = 0
		customerWaiting = 0
		highestProfit = -1
		for i in range(len(customers)):
			customerGroup = customers[i]
			customerWaiting += customerGroup
			willBeServed = min(customerWaiting, 4)
			totalServed += willBeServed
			profit = totalServed * boardingCost - (i + 1) * runningCost
			if profit > highestProfit:
				highestProfit = profit
				step = i + 1
			customerWaiting -= willBeServed
		i += 1
		while customerWaiting > 0:
			willBeServed = min(customerWaiting, 4)
			totalServed += willBeServed
			profit = totalServed * boardingCost - (i + 1) * runningCost
			if profit > highestProfit:
				highestProfit = profit
				step = i + 1
			customerWaiting -= willBeServed
			i += 1
		return -1 if highestProfit < 0 else step


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost - runningCost <= 0:
			return -1
		max_profit = 0
		max_rotation = 0
		cum_profit = 0
		wait = 0
		for (i, c) in enumerate(customers):
			total = c + wait
			if total <= 4:
				board = total
			else:
				board = 4
			wait = total - board
			profit = board * boardingCost - runningCost
			cum_profit += profit
			if cum_profit > max_profit:
				max_profit = cum_profit
				max_rotation = i + 1
		if wait > 0:
			(div, mod) = divmod(wait, 4)
			cum_profit += div * (4 * boardingCost - runningCost)
			if cum_profit > max_profit:
				max_profit = cum_profit
				max_rotation += div
			re = mod * boardingCost - runningCost
			if re > 0:
				cum_profit += re
				if cum_profit > max_profit:
					max_profit = cum_profit
					max_rotation += 1
		if max_rotation == 0:
			return -1
		else:
			return max_rotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = -1
		maximum = 0
		lastProfit = 0
		waiting = 0
		wheel = deque([0] * 4)
		onBoard = 0
		count = 0
		for i in range(len(customers)):
			waiting += customers[i]
			new = min(4, waiting)
			waiting -= new
			leaving = wheel.pop()
			onBoard += new - leaving
			wheel.appendleft(new)
			count += 1
			profit = lastProfit + new * boardingCost - runningCost
			if maximum < profit:
				maximum = profit
				res = count
			lastProfit = profit
		while waiting:
			new = min(4, waiting)
			waiting -= new
			leaving = wheel.pop()
			onBoard += new - leaving
			wheel.appendleft(new)
			count += 1
			profit = lastProfit + new * boardingCost - runningCost
			if maximum < profit:
				maximum = profit
				res = count
			lastProfit = profit
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		current = 0
		profit = 0
		times = -1
		waitings = 0
		for index in range(0, len(customers)):
			waitings += customers[index]
			current -= runningCost
			current += boardingCost * min(waitings, 4)
			waitings -= min(waitings, 4)
			if current > profit:
				times = index + 1
				profit = current
		index = len(customers)
		while waitings > 0:
			current -= runningCost
			current += boardingCost * min(waitings, 4)
			waitings -= min(waitings, 4)
			if current > profit:
				times = index + 1
				profit = current
			index += 1
		return times


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		profit = 0
		num_waiting_customers = 0
		max_profit = 0
		ans = -1
		i = 0
		while i < len(customers) or num_waiting_customers > 0:
			num_waiting_customers += customers[i] if i < len(customers) else 0
			num_boarding = min(num_waiting_customers, 4)
			num_waiting_customers -= num_boarding
			profit += num_boarding * boardingCost - runningCost
			if profit > max_profit:
				ans = i + 1
				max_profit = profit
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, cus: List[int], bCost: int, rCost: int) -> int:
		profit = [0]
		(a1, a2, a3, a4) = (0, 0, 0, 0)
		waiting = 0
		for i in range(len(cus)):
			waiting += cus[i]
			(a1, a2, a3, a4) = (min(4, waiting), a1, a2, 0)
			waiting -= a1
			profit.append(profit[-1] + a1 * bCost - rCost)
		while waiting > 0:
			(a1, a2, a3, a4) = (min(4, waiting), a1, a2, 0)
			waiting -= a1
			profit.append(profit[-1] + a1 * bCost - rCost)
		if max(profit) > 0:
			return profit.index(max(profit))
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(i, waiting) = (0, 0)
		(total_profit, max_profit) = (0, 0)
		result = -1
		while i < len(customers) or waiting > 0:
			waiting += 0 if i >= len(customers) else customers[i]
			board = min(waiting, 4)
			total_profit += board * boardingCost - runningCost
			if max_profit < total_profit:
				max_profit = total_profit
				result = i
			waiting -= board
			i += 1
		return result if result < 0 else result + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		profit = 0
		rotation = 0
		max_profit = -1
		index = 0
		for c in customers:
			if c > 4:
				waiting += c - 4
				board = 4
			else:
				board = c
			if board < 4:
				needed = 4 - board
				if waiting >= needed:
					waiting -= needed
					board = 4
				else:
					board += waiting
					waiting = 0
			index += 1
			profit += board * boardingCost - runningCost
			if profit > max_profit:
				max_profit = max(max_profit, profit)
				rotation = index
		while waiting > 0:
			remain = waiting
			index += 1
			if remain >= 4:
				profit += boardingCost * 4 - runningCost
				waiting -= 4
			else:
				profit += boardingCost * remain - runningCost
				waiting = 0
			if profit > max_profit:
				max_profit = max(max_profit, profit)
				rotation = index
		if max_profit >= 0:
			return rotation
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, c: List[int], b: int, r: int) -> int:
		ans = [0]
		i = 0
		while i < len(c):
			if c[i] <= 4:
				ans.append(ans[-1] + c[i] * b - r)
			elif i + 1 < len(c):
				c[i + 1] += c[i] - 4
				ans.append(ans[-1] + 4 * b - r)
			else:
				c.append(c[i] - 4)
				ans.append(ans[-1] + 4 * b - r)
			i += 1
		m = max(ans)
		return -1 if m == 0 else ans.index(m)


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		bal = 0
		max_bal = 0
		max_rot = -1
		rot = 0
		for c in customers:
			rot += 1
			waiting += c
			bal += min(4, waiting) * boardingCost - runningCost
			if bal > max_bal:
				max_rot = rot
				max_bal = bal
			waiting -= min(4, waiting)
		while waiting:
			rot += 1
			bal += min(4, waiting) * boardingCost - runningCost
			if bal > max_bal:
				max_rot = rot
				max_bal = bal
			waiting -= min(4, waiting)
		return max_rot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		waitingList = 0
		maxProfit = 0
		rotations = 0
		maxR = 0
		counter = 0
		totalCustomer = 0
		maxRotations = -1
		maxProfit = profit = waitingList = 0
		for (index, val) in enumerate(customers):
			waitingList += val
			peopleBoarded = min(4, waitingList)
			waitingList -= peopleBoarded
			profit += peopleBoarded * boardingCost - runningCost
			if maxProfit < profit:
				(maxRotations, maxProfit) = (index + 1, profit)
		(waitingloop, waitingrem) = divmod(waitingList, 4)
		if 4 * boardingCost > runningCost:
			maxRotations += waitingloop
		if waitingrem * boardingCost > runningCost:
			maxRotations += 1
		return maxRotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		a = []
		c = 0
		n = len(customers)
		i = 0
		while i < n or c > 0:
			if i < n:
				c += customers[i]
			b = 4 if c >= 4 else c
			p = b * boardingCost - runningCost
			a.append(p if len(a) == 0 else a[-1] + p)
			c -= b
			i += 1
		mIdx = 0
		for (i, v) in enumerate(a):
			if a[i] > a[mIdx]:
				mIdx = i
		if a[mIdx] <= 0:
			return -1
		else:
			return mIdx + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 1
		(waiting, onBoard, result, maxProfit) = (customers[0], 0, -1, 0)
		while i < len(customers) or waiting > 0:
			newToOnboard = min(4, waiting)
			waiting -= newToOnboard
			onBoard += newToOnboard
			profit = onBoard * boardingCost - i * runningCost
			if profit > maxProfit:
				maxProfit = profit
				result = i
			if i < len(customers):
				waiting += customers[i]
			i += 1
		return result


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 0
		max_profit = -1
		turn = 0
		cur_profit = 0
		remain = 0
		while i < len(customers) or remain:
			remain += customers[i] if i < len(customers) else 0
			board = min(remain, 4)
			remain -= board
			cur_profit += board * boardingCost - runningCost
			if max_profit < cur_profit:
				max_profit = cur_profit
				turn = i + 1
			i += 1
		return turn if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur = 0
		idx = -1
		max_val = 0
		profit = 0
		i = 0
		while i < len(customers) or cur > 0:
			if i < len(customers):
				cur += customers[i]
			x = min(4, cur)
			cur -= x
			profit += x * boardingCost - runningCost
			if profit > max_val:
				idx = i + 1
				max_val = profit
			i += 1
		return idx


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(max_profit, max_t) = (0, -1)
		(waiting, profit, t) = (0, 0, 0)
		while t < len(customers) or waiting > 0:
			if t < len(customers):
				waiting += customers[t]
			boarding = min(waiting, 4)
			waiting -= boarding
			profit += boardingCost * boarding - runningCost
			if profit > max_profit:
				(max_profit, max_t) = (profit, t + 1)
			t += 1
		return max_t


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		rnd = 0
		income = 0
		cost = 0
		profit = []
		while waiting > 0 or rnd < len(customers):
			if rnd < len(customers):
				waiting += customers[rnd]
			ride = min(4, waiting)
			income += ride * boardingCost
			waiting -= ride
			cost += runningCost
			profit.append(income - cost)
			rnd += 1
		if max(profit) > 0:
			return profit.index(max(profit)) + 1
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(rotations, boarded) = (0, 0)
		(best, ans) = (float('-inf'), -1)
		waiting = 0
		for customer in customers:
			rotations += 1
			waiting += customer
			boarded += min(waiting, 4)
			waiting -= min(waiting, 4)
			profit = boardingCost * boarded - runningCost * rotations
			if profit > best:
				best = profit
				ans = rotations
		while waiting > 0:
			rotations += 1
			boarded += min(waiting, 4)
			waiting -= min(waiting, 4)
			profit = boardingCost * boarded - runningCost * rotations
			if profit > best:
				best = profit
				ans = rotations
		if best > 0:
			return ans
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_result = 0
		max_count = 0
		result = 0
		waiting = 0
		count = 0
		if boardingCost * 4 <= runningCost:
			return -1
		for i in customers:
			waiting += i
			next_board = min(waiting, 4)
			waiting -= next_board
			result += boardingCost * next_board
			count += 1
			result -= runningCost
			if result > max_result:
				max_result = result
				max_count = count
		full_batch = waiting // 4
		result += full_batch * 4 * boardingCost
		if full_batch > 0:
			result -= full_batch * runningCost
			count += full_batch
		if result > max_result:
			max_result = result
			max_count = count
		waiting -= full_batch * 4
		if waiting * boardingCost > runningCost:
			result += waiting * boardingCost - runningCost
			count += 1
		if result > max_result:
			max_result = result
			max_count = count
		return max_count


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = customers[0]
		res = 0
		i = 1
		rotation = 0
		max_profit = 0
		max_rotation = -1
		total = 0
		while i < len(customers) or waiting > 0:
			rotation += 1
			curr = min(4, waiting)
			waiting -= curr
			total += curr
			res = total * boardingCost - rotation * runningCost
			if i < len(customers):
				waiting += customers[i]
				i += 1
			if res > max_profit:
				max_rotation = rotation
				max_profit = res
		return max_rotation


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		total_people = 0
		comp_people = 0
		waitlist = 0
		rotates = 0
		gondola_size = 4
		current_profit = [-1]
		for customer in customers:
			total_people += customer
			if customer > gondola_size or waitlist > gondola_size:
				waitlist = waitlist + (customer - gondola_size)
				comp_people += gondola_size
			else:
				comp_people += customer
			rotates += 1
			current_profit.append(comp_people * boardingCost - rotates * runningCost)
		while waitlist > 0:
			rotates += 1
			if waitlist > 4:
				waitlist -= gondola_size
				comp_people += gondola_size
			else:
				comp_people += waitlist
				waitlist = 0
			current_profit.append(comp_people * boardingCost - rotates * runningCost)
		res = current_profit.index(max(current_profit))
		if res == 0:
			return -1
		else:
			return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost < runningCost:
			return -1
		waiting = 0
		prof = 0
		i = 0
		(max_prof, max_i) = (0, 0)
		while i < len(customers) or waiting > 0:
			if i >= len(customers):
				c = 0
			else:
				c = customers[i]
			boarding = min(waiting + c, 4)
			waiting += c - boarding
			prof += boarding * boardingCost - runningCost
			i += 1
			if prof > max_prof:
				max_prof = prof
				max_i = i
		if max_prof == 0:
			return -1
		return max_i


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		customers.reverse()
		curr_boarding_cost = 0
		curr_running_cost = 0
		cnt = 0
		pp = 0
		max_cnt = -1
		while customers or pp:
			if customers:
				pp += customers.pop()
			curr_running_cost += runningCost
			cnt += 1
			pay = min(4, pp)
			curr_boarding_cost += boardingCost * pay
			pp -= pay
			if max_profit < curr_boarding_cost - curr_running_cost:
				max_cnt = cnt
				max_profit = curr_boarding_cost - curr_running_cost
		return max_cnt


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting_customers = cur_profit = max_profit = rounds = 0
		max_profit_round = -1
		customers.reverse()
		while waiting_customers > 0 or customers:
			if customers:
				waiting_customers += customers.pop()
			cur_profit += min(waiting_customers, 4) * boardingCost - runningCost
			waiting_customers -= min(waiting_customers, 4)
			rounds += 1
			if max_profit < cur_profit:
				max_profit = cur_profit
				max_profit_round = rounds
		return max_profit_round


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = remainder_customers = steps = 0
		res = []
		for customer in customers:
			remainder_customers += customer
			if remainder_customers > 4:
				remainder_customers -= 4
				max_profit += 4 * boardingCost - runningCost
			else:
				max_profit += remainder_customers * boardingCost - runningCost
				remainder_customers = 0
			steps += 1
			res.append((max_profit, steps))
		while remainder_customers > 0:
			if remainder_customers > 4:
				remainder_customers -= 4
				max_profit += 4 * boardingCost - runningCost
			else:
				max_profit += remainder_customers * boardingCost - runningCost
				remainder_customers = 0
			steps += 1
			res.append((max_profit, steps))
		res.sort(key=lambda x: (-x[0], x[1]))
		return -1 if res[0][0] < 0 else res[0][1]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = -runningCost
		sofar = 0
		people = 0
		count = 0
		idx = 0
		while idx < len(customers) or people:
			if idx < len(customers):
				people += customers[idx]
			idx += 1
			earning = -runningCost
			if people > 4:
				earning += 4 * boardingCost
				people -= 4
			else:
				earning += people * boardingCost
				people = 0
			sofar += earning
			if sofar > ans:
				count = idx
			ans = max(ans, sofar)
		if ans < 0:
			return -1
		return count


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 16 < runningCost:
			return -1
		onboard = [0, 0, 0, 0]
		waiting = 0
		profits = []
		for (i, grp) in enumerate(customers):
			waiting += grp
			added = min(4, waiting)
			onboard[i % 4] = added
			waiting -= added
			profits.append(onboard[i % 4] * boardingCost - runningCost)
			i_last = i
		i = i_last + 1
		while waiting:
			added = min(4, waiting)
			onboard[i % 4] = added
			waiting -= added
			profits.append(onboard[i % 4] * boardingCost - runningCost)
			i += 1
		cum_sum = 0
		max_p = 0
		max_i = -1
		for (i, prof) in enumerate(profits):
			cum_sum += prof
			if cum_sum > max_p:
				max_p = cum_sum
				max_i = i + 1
		return max_i


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], board: int, run: int) -> int:
		if board * 4 <= run:
			return -1
		cur_prof = 0
		max_prof = 0
		waiting = 0
		res = 0
		i = 0
		while waiting > 0 or i < len(customers):
			c = 0 if i >= len(customers) else customers[i]
			serv = min(waiting + c, 4)
			waiting = waiting + c - serv
			cur_prof += board * serv - run
			if max_prof < cur_prof:
				max_prof = cur_prof
				res = i + 1
			i += 1
		if max_prof == 0:
			return -1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		wait = 0
		n = len(customers)
		pro = 0
		max_pro = 0
		ans = 0
		i = 0
		while i < n or wait != 0:
			c = customers[i] if i < n else 0
			take = min(wait + c, 4)
			wait += c - take
			pro += take * boardingCost - runningCost
			i += 1
			if pro > max_pro:
				max_pro = max(max_pro, pro)
				ans = i
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		round = 0
		maxProfit = 0
		maxRound = -1
		waiting = 0
		profit = 0
		i = 0
		for c in customers:
			i += 1
			waiting += c
			g = min(4, waiting)
			waiting -= g
			profit += g * boardingCost - runningCost
			if profit > maxProfit:
				maxProfit = profit
				maxRound = i
			if waiting:
				customers += [0]
		return maxRound


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost:
			return -1
		wait = customers[0]
		boarded = 0
		profit = 0
		res = -1
		index = 0
		while wait > 0 or index < len(customers):
			if index and index < len(customers):
				wait += customers[index]
			onboard = min(4, wait)
			boarded += onboard
			wait -= onboard
			if boarded * boardingCost - (index + 1) * runningCost > profit:
				res = index + 1
				profit = boarded * boardingCost - (index + 1) * runningCost
			index += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(profit, people, res, board) = (0, 0, 0, 0)
		minPeople = runningCost // boardingCost
		if sum(customers) < minPeople:
			return -1
		for n in customers:
			people += n
			res += 1
			if people >= 4:
				people -= 4
				board += 4
			else:
				board += people
				people = 0
		(count, m) = divmod(people, 4)
		board += count * 4
		if m > minPeople:
			count += 1
			board += m
		res += count
		profit += board * boardingCost - res * runningCost
		return res if profit >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		total = customers[0]
		n = len(customers)
		ans = 0
		cp = 0
		curVal = False
		for i in range(1, n):
			if total > 3:
				cp += 4 * boardingCost - runningCost
				total -= 4
			else:
				cp += total * boardingCost - runningCost
				total = 0
			ans += 1
			if cp > 0:
				curVal = True
			total += customers[i]
		if total > 3:
			if not curVal:
				cp += total // 4 * (4 * boardingCost - runningCost)
				if cp > 0:
					curVal = True
			if curVal:
				ans += total // 4
				total = total % 4
			else:
				return -1
		if total > 0 and total * boardingCost > runningCost:
			if not curVal:
				cp += total * boardingCost - runningCost
				if cp <= 0:
					return -1
			ans += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxx = 0
		rem = 0
		i = 0
		profit = 0
		count = 0
		while True:
			if i < len(customers):
				if customers[i] > 4:
					if i + 1 < len(customers):
						customers[i + 1] = customers[i + 1] + (customers[i] - 4)
						customers[i] = 4
					else:
						customers.append(customers[i] - 4)
						customers[i] = 4
				count = count + customers[i]
				profit = count * boardingCost - (i + 1) * runningCost
				if profit > maxx:
					maxx = profit
					rem = i + 1
				i = i + 1
			else:
				break
		if rem == 0:
			return -1
		return rem


from typing import *

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		served = 0
		profits = []
		for (i, v) in enumerate(customers):
			waiting += v
			if waiting < 4:
				served += v
			else:
				served += 4
			profits.append(served * boardingCost - (i + 1) * runningCost)
			if waiting < 4:
				waiting = 0
			else:
				waiting -= 4
		while waiting != 0:
			i += 1
			if waiting < 4:
				served += waiting
			else:
				served += 4
			profits.append(served * boardingCost - (i + 1) * runningCost)
			if waiting < 4:
				waiting = 0
			else:
				waiting -= 4
		index = max(list(range(len(profits))), key=lambda i: profits[i])
		if profits[index] < 0:
			return -1
		else:
			return index + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		curr_ppl_ttl = 0
		profit = list()
		waiting = 0
		line_count = 0
		runtime = 1
		while line_count < len(customers) or waiting != 0:
			if line_count < len(customers):
				if customers[line_count] + waiting > 4:
					curr_ride = 4
					waiting = waiting + customers[line_count] - 4
				else:
					curr_ride = waiting + customers[line_count]
					waiting = 0
			elif waiting > 4:
				curr_ride = 4
				waiting -= curr_ride
			else:
				curr_ride = waiting
				waiting = 0
			curr_ppl_ttl += curr_ride
			profit.append(curr_ppl_ttl * boardingCost - runningCost * runtime)
			line_count += 1
			runtime += 1
		if all((i < 0 for i in profit)):
			return -1
		return profit.index(max(profit)) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		max_t = -1
		ans = 0
		t = 1
		waiting = 0
		cur = 0
		while t <= n or waiting > 0:
			if t <= n:
				waiting += customers[t - 1]
			cur += boardingCost * min(4, waiting)
			waiting -= min(4, waiting)
			cur -= runningCost
			if cur > ans:
				ans = cur
				max_t = t
			t += 1
		return max_t


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 0
		g = [4, 4, 4, 4]
		profit = 0
		max_profit = 0
		customers = customers[::-1]
		rotates = 0
		best = -1
		while customers:
			g[i] = 4
			c = customers.pop()
			if c - g[i] > 0:
				c -= g[i]
				profit += g[i] * boardingCost
				g[i] = 0
				if customers:
					customers[-1] = customers[-1] + c
				else:
					customers = [c]
			else:
				g[i] -= c
				profit += c * boardingCost
			profit -= runningCost
			rotates += 1
			if profit > max_profit:
				best = rotates
				max_profit = profit
			i += 1
			i %= 4
		return best


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		nrounds = len(customers)
		waiting = customers[0]
		profit = []
		nturns = 1
		rev = 0
		while waiting > 0 or nturns < nrounds + 1:
			boarding = min(waiting, 4)
			rev = rev + boarding * boardingCost
			waiting = waiting - boarding
			if nturns < nrounds:
				waiting = waiting + customers[nturns]
			profit.append(rev - runningCost * nturns)
			nturns = nturns + 1
		maxprof = 0
		ind = 0
		for (i, p) in enumerate(profit):
			if p > maxprof:
				maxprof = p
				ind = i
		if not maxprof > 0:
			return -1
		else:
			return ind + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxAns = -1
		counter = 1
		index = 0
		maxCounter = -1
		waitingCusts = 0
		currCusts = 0
		for cust in customers:
			waitingCusts += cust
			currCusts += min(4, waitingCusts)
			waitingCusts = max(0, waitingCusts - 4)
			if maxAns < currCusts * boardingCost - counter * runningCost:
				maxAns = currCusts * boardingCost - counter * runningCost
				maxCounter = counter
			counter += 1
		while waitingCusts > 0:
			currCusts += min(4, waitingCusts)
			waitingCusts = max(0, waitingCusts - 4)
			if maxAns < currCusts * boardingCost - counter * runningCost:
				maxAns = currCusts * boardingCost - counter * runningCost
				maxCounter = counter
			counter += 1
		return maxCounter


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		best_turns = -1
		customers_waiting = 0
		current_boarded = 0
		current_rotates = 0
		current_index = 0
		while current_index < len(customers) or customers_waiting > 0:
			if current_index < len(customers):
				customers_waiting += customers[current_index]
			new_customers = min(4, customers_waiting)
			customers_waiting -= new_customers
			current_boarded += new_customers
			current_rotates += 1
			current_profit = current_boarded * boardingCost - current_rotates * runningCost
			if current_profit > max_profit:
				max_profit = current_profit
				best_turns = current_rotates
			current_index += 1
		return best_turns


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		bestProfit = -1
		bestNumRotations = -1
		currentCustomersWaiting = 0
		currentProfit = 0
		numRotations = 1

		def spin(newCustomers):
			nonlocal currentCustomersWaiting, currentProfit, numRotations, bestProfit, bestNumRotations
			currentCustomersWaiting += newCustomers
			customersBoardingNow = min(4, currentCustomersWaiting)
			currentProfit += customersBoardingNow * boardingCost - runningCost
			if currentProfit > bestProfit:
				bestProfit = currentProfit
				bestNumRotations = numRotations
			currentCustomersWaiting -= customersBoardingNow
			numRotations += 1
		for currentNewCustomers in customers:
			spin(currentNewCustomers)
		while currentCustomersWaiting:
			spin(0)
		return bestNumRotations


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		minRotation = 0
		MaxProfit = 0
		waiting = 0
		profit = 0
		for i in range(len(customers)):
			total = waiting + customers[i]
			if total >= 4:
				profit += 4 * boardingCost - runningCost
				if profit > MaxProfit:
					MaxProfit = profit
					minRotation = i + 1
				waiting = total - 4
			else:
				profit += total * boardingCost - runningCost
				if profit > MaxProfit:
					MaxProfit = profit
					minRotation = i + 1
				waiting = 0
		print(waiting)
		if waiting:
			temp = waiting
			print((waiting // 4 * 4, int(waiting / 4)))
			profit += waiting // 4 * 4 * boardingCost - runningCost * int(waiting / 4)
			if profit > MaxProfit:
				MaxProfit = profit
				minRotation = len(customers) + int(waiting / 4)
			waiting = waiting % 4
			profit += waiting * boardingCost - runningCost
			if profit > MaxProfit:
				return len(customers) + math.ceil(temp / 4)
		if minRotation > 0:
			return minRotation
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		best = (0, -1)
		boarded = 0
		cur = rotations = 0
		for customer in customers:
			cur += customer
			boarded += min(cur, 4)
			cur -= min(cur, 4)
			rotations += 1
			cur_revenue = boarded * boardingCost - rotations * runningCost
			if best[0] < cur_revenue:
				best = (cur_revenue, rotations)
		while cur > 0:
			boarded += min(cur, 4)
			cur -= min(cur, 4)
			rotations += 1
			cur_revenue = boarded * boardingCost - rotations * runningCost
			if best[0] < cur_revenue:
				best = (cur_revenue, rotations)
		return best[1]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		bestProfit = 0
		bestRotation = 0
		waiting = 0
		income = 0
		cost = 0
		rotations = 0
		for i in range(len(customers)):
			if income - cost > bestProfit:
				bestRotation = rotations
				bestProfit = income - cost
			waiting += customers[i]
			newCustomers = min(waiting, 4)
			waiting -= newCustomers
			income += newCustomers * boardingCost
			cost += runningCost
			rotations += 1
		while waiting > 0:
			if income - cost > bestProfit:
				bestRotation = rotations
				bestProfit = income - cost
			newCustomers = min(waiting, 4)
			waiting -= newCustomers
			income += newCustomers * boardingCost
			cost += runningCost
			rotations += 1
		if income - cost > bestProfit:
			bestRotation = rotations
			bestProfit = income - cost
		if bestProfit == 0:
			return -1
		else:
			return bestRotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if len(customers) == 0:
			return 0
		self.res = float('-inf')
		self.rotation = 0
		cuswaiting = 0
		profit = 0
		rotation = 0
		attendcus = 0
		while cuswaiting != 0 or rotation < len(customers):
			if rotation < len(customers):
				cuswaiting += customers[rotation]
			rotation += 1
			if cuswaiting >= 4:
				attendcus += 4
				profit = attendcus * boardingCost - rotation * runningCost
				cuswaiting -= 4
			else:
				attendcus += cuswaiting
				profit = attendcus * boardingCost - rotation * runningCost
				cuswaiting = 0
			if self.res < profit:
				self.res = profit
				self.rotation = rotation
		if self.res < 0:
			return -1
		else:
			return self.rotation


class Solution:

	def minOperationsMaxProfit(self, cust: List[int], bc: int, rc: int) -> int:
		cust.reverse()
		(wait, profit, t, max_p, ans) = (0, 0, 0, float('-inf'), 0)
		while cust or wait:
			if cust:
				wait += cust.pop()
			if wait >= 4:
				profit += 4 * bc
			else:
				profit += wait * bc
			wait = max(0, wait - 4)
			profit -= rc
			t += 1
			if profit > max_p:
				ans = t
				max_p = profit
		return ans if max_p > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		maxProfit = 0
		ans = 0
		revenue = 0
		cost = 0
		for c in range(len(customers)):
			waiting += customers[c]
			cost += runningCost
			toBeBoarded = min(waiting, 4)
			waiting -= toBeBoarded
			revenue += toBeBoarded * boardingCost
			profit = revenue - cost
			if profit > maxProfit:
				(maxProfit, ans) = (profit, c)
		while waiting != 0:
			c += 1
			cost += runningCost
			toBeBoarded = min(waiting, 4)
			waiting -= toBeBoarded
			revenue += toBeBoarded * boardingCost
			profit = revenue - cost
			if profit > maxProfit:
				(maxProfit, ans) = (profit, c)
		return ans + 1 if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = []
		lastprofit = 0
		wait = customers[0]
		i = 0
		while i < len(customers) or wait > 0:
			if wait > 4:
				wait -= 4
				board = 4
			else:
				board = wait
				wait = 0
			profit.append(lastprofit + board * boardingCost - runningCost)
			lastprofit = profit[-1]
			i += 1
			if i < len(customers):
				wait += customers[i]
		ans = 0
		t = -1
		for (i, c) in enumerate(profit):
			if c > ans:
				ans = c
				t = i + 1
		return t


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		num_wait = 0
		num_rotate = 0
		num_served = 0
		max_profit = 0
		min_rotation = -1
		for c in customers:
			num_wait += c
			num_rotate += 1
			served = min(num_wait, 4)
			num_served += served
			num_wait -= served
			if boardingCost * num_served - runningCost * num_rotate > max_profit:
				min_rotation = num_rotate
			max_profit = max(max_profit, boardingCost * num_served - runningCost * num_rotate)
		while num_wait > 0:
			num_rotate += 1
			served = min(num_wait, 4)
			num_served += served
			num_wait -= served
			if boardingCost * num_served - runningCost * num_rotate > max_profit:
				min_rotation = num_rotate
			max_profit = max(max_profit, boardingCost * num_served - runningCost * num_rotate)
		if max_profit > 0:
			return min_rotation
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = []
		waiting_customers = 0
		cur_profit = 0
		for count in customers:
			waiting_customers += count
			boarding_customers = min(4, waiting_customers)
			cur_profit += boardingCost * boarding_customers - runningCost
			profits.append(cur_profit)
			waiting_customers -= boarding_customers
		while waiting_customers > 0:
			boarding_customers = min(4, waiting_customers)
			cur_profit += boardingCost * boarding_customers - runningCost
			profits.append(cur_profit)
			waiting_customers -= boarding_customers
		index = -1
		max_profit = 0
		for i in range(len(profits)):
			if profits[i] > max_profit:
				index = i
				max_profit = profits[i]
		if index == -1:
			return -1
		return index + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = []
		waitings = 0

		def boarding(waitings, profits):
			boardings = 0
			if waitings >= 4:
				boardings = 4
			else:
				boardings = waitings
			lastprofit = 0 if len(profits) == 0 else profits[len(profits) - 1]
			thisprofit = lastprofit + boardings * boardingCost - runningCost
			profits.append(thisprofit)
			return boardings

		def calculateBestTimes(profits):
			return profits.index(max(profits))
		for customer in customers:
			waitings += customer
			boardings = boarding(waitings, profits)
			waitings -= boardings
		while waitings > 0:
			boardings = boarding(waitings, profits)
			waitings -= boardings
		times = calculateBestTimes(profits)
		if profits[times] <= 0:
			times = -1
		else:
			times += 1
		return times


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		queue = deque(customers)
		profit = 0
		k = 0
		max_profit = 0
		max_k = 0
		while queue:
			num_people = queue.popleft()
			i = 1
			if num_people > 4:
				if queue:
					queue[0] += num_people - 4
				else:
					i = num_people // 4
					queue.append(num_people - 4 * i)
				num_people = 4
			k += i
			profit += num_people * boardingCost * i
			profit -= runningCost * i
			if max_profit < profit:
				max_k = k
				max_profit = profit
		return max_k if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		totalCust = 0
		n = len(customers)
		ct = 0
		curr = 0
		profit = 0
		res = 0
		maxx = -999999
		pt = 0
		while True:
			ct += 1
			if pt < n:
				totalCust += customers[pt]
				pt += 1
			if totalCust < 4:
				curr += totalCust
				totalCust = 0
				profit = curr * boardingCost - ct * runningCost
				if maxx < profit:
					maxx = profit
					res = ct
				if pt == n:
					break
			else:
				totalCust -= 4
				curr += 4
				profit = curr * boardingCost - ct * runningCost
				if maxx < profit:
					maxx = profit
					res = ct
		if profit > 0:
			return res
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 0
		n = len(customers)
		board = 0
		wait = 0
		ans = -1
		max_profit = 0
		while wait > 0 or i < n:
			if i < n:
				wait += customers[i]
			board += min(4, wait)
			wait = max(0, wait - 4)
			tmp_profit = board * boardingCost - (i + 1) * runningCost
			if tmp_profit > max_profit:
				max_profit = tmp_profit
				ans = i + 1
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		hi = 0
		if not customers:
			return 0
		i = wait = tot = 0
		n = len(customers)
		r = 1
		for i in range(n):
			if r > i:
				wait += customers[i]
			while wait >= 4 or r == i + 1 or i == n - 1:
				tot += min(wait, 4)
				wait -= min(wait, 4)
				profit = tot * boardingCost - r * runningCost
				if profit > hi:
					ans = r
					hi = profit
				r += 1
				if wait <= 0:
					break
		return ans if hi > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return 0
		rest = 0
		total = 0
		profit = -1
		res = 0
		i = 0
		while i < len(customers) or rest:
			if i < len(customers):
				rest += customers[i]
			if rest >= 4:
				total += 4
				rest -= 4
			else:
				total += rest
				rest = 0
			if boardingCost * total - (i + 1) * runningCost > profit:
				res = i + 1
				profit = boardingCost * total - (i + 1) * runningCost
			i += 1
		return res if profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = 0
		waitingC = 0
		curVal = 0
		maxVal = 0
		maxIndex = -1
		index = 0
		while index < len(customers) or waitingC > 0:
			c = customers[index] if index < len(customers) else 0
			waitingC += c
			curB = min(waitingC, 4)
			waitingC -= curB
			curVal += curB * boardingCost - runningCost
			ans += 1
			index += 1
			if curVal > maxVal:
				maxVal = curVal
				maxIndex = index
		return maxIndex


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 0
		w = 0
		c = 0
		ans = 0
		fans = -1
		while i < len(customers) or w:
			if i < len(customers):
				w += customers[i]
			n = min(4, w)
			w -= n
			c += n
			i += 1
			if ans < c * boardingCost - i * runningCost:
				ans = c * boardingCost - i * runningCost
				fans = i
		return fans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if len(customers) == 0:
			return -1
		wait = 0
		onboard = 0
		r = 0
		(max_prof, max_r, cost) = (float('-inf'), 0, 0)
		while customers[r] == 0:
			r += 1
		if customers:
			wait += customers[r]
			while wait > 0:
				c = min(wait, 4)
				wait = max(0, wait - 4)
				onboard += c
				r += 1
				cost = onboard * boardingCost - r * runningCost
				if cost > max_prof:
					max_r = r
					max_prof = cost
				if r < len(customers):
					wait += customers[r]
		if max_prof <= 0:
			return -1
		return max_r


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_tuple = (0, -1)
		profit = 0
		awaiting = 0
		turn = 0
		while awaiting > 0 or turn == 0 or turn < len(customers):
			if turn < len(customers):
				awaiting += customers[turn]
			count_pay = min(4, awaiting)
			awaiting -= count_pay
			profit += count_pay * boardingCost - runningCost
			if profit > max_tuple[0]:
				max_tuple = (profit, turn + 1)
			turn += 1
		return max_tuple[1]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(rotations, profit) = (0, 0)
		(ret, max_profit) = (0, 0)
		waiting = 0
		for c in customers:
			waiting += c
			profit += min(4, waiting) * boardingCost - runningCost
			waiting -= min(4, waiting)
			rotations += 1
			if profit > max_profit:
				max_profit = profit
				ret = rotations
		if waiting:
			profit += waiting // 4 * (4 * boardingCost - runningCost)
			rotations += waiting // 4
			if profit > max_profit:
				max_profit = profit
				ret = rotations
			waiting %= 4
		if waiting:
			profit += waiting * boardingCost - runningCost
			rotations += 1
			if profit > max_profit:
				max_profit = profit
				ret = rotations
		return ret if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = [-1, -1]

		def board_customers(customers, rotations):
			current_profit = customers * boardingCost - rotations * runningCost
			if current_profit > max_profit[0]:
				max_profit[0] = current_profit
				if current_profit > -1:
					max_profit[1] = rotations
		r = 1
		waiting = 0
		total_customers = 0
		for i in range(len(customers) - 1):
			if customers[i] > 4:
				customers[i + 1] += customers[i] - 4
				customers[i] = 4
			total_customers += customers[i]
			board_customers(total_customers, r)
			r += 1
		waiting = customers[-1]
		while waiting:
			added = min(waiting, 4)
			total_customers += added
			board_customers(total_customers, r)
			waiting -= added
			r += 1
		return max_profit[1]


from collections import deque

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = deque([])
		customers = deque(customers)
		waiting.append(customers.popleft())
		time = 1
		maxx = 0
		cost = 0
		ans = 0
		found = False
		total = 0
		while waiting or customers:
			curr = waiting.popleft()
			if curr > 4:
				curr -= 4
				total += 4
				waiting.appendleft(curr)
				cost = total * boardingCost - time * runningCost
			else:
				temp = curr
				while waiting and temp + waiting[0] <= 4:
					temp += waiting.popleft()
				if temp < 4:
					if waiting:
						extra = 4 - temp
						waiting[0] -= extra
						temp = 4
				total += temp
				cost = total * boardingCost - time * runningCost
			if cost > maxx:
				maxx = cost
				found = True
				ans = time
			time += 1
			if customers:
				waiting.append(customers.popleft())
		return ans if found else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		earn = 0
		max_earn = 0
		men = 0
		cnt = 0
		res = -1
		for c in customers:
			cnt += 1
			men += c
			earn += min(men, 4) * boardingCost
			earn -= runningCost
			if earn > max_earn:
				max_earn = earn
				res = cnt
			men -= min(men, 4)
		while men > 0:
			cnt += 1
			earn += min(men, 4) * boardingCost
			earn -= runningCost
			if earn > max_earn:
				max_earn = earn
				res = cnt
			men -= min(men, 4)
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cost = 0
		waiting = 0
		rotations = 0
		profits = []
		for i in range(len(customers)):
			waiting += customers[i]
			board = min(waiting, 4)
			waiting -= board
			cost += board * boardingCost
			cost -= runningCost
			rotations += 1
			profits.append((rotations, cost))
		while waiting > 0:
			board = min(waiting, 4)
			waiting -= board
			rotations += 1
			cost += boardingCost * board
			cost -= runningCost
			profits.append((rotations, cost))
		r = None
		ans = 0
		for p in profits:
			if p[1] > ans:
				ans = p[1]
				r = p[0]
		return r if ans > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = []
		total_customer = 0
		cur_profit = 0
		for (i, n) in enumerate(customers):
			total_customer += n
			cur_profit += min(total_customer, 4) * boardingCost - runningCost
			total_customer -= min(total_customer, 4)
			profit.append(cur_profit)
		import numpy as np
		while total_customer > 0:
			cur_profit += min(total_customer, 4) * boardingCost - runningCost
			total_customer -= min(total_customer, 4)
			profit.append(cur_profit)
		return np.argmax(profit) + 1 if max(profit) > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		i = 0
		waiting = 0
		board = 0
		rot = 0
		res = 0
		ind = -1
		while waiting > 0 or i < n:
			if i < n:
				waiting += customers[i]
			rot += 1
			board += min(4, waiting)
			waiting -= min(4, waiting)
			prof = board * boardingCost - rot * runningCost
			if prof > res:
				res = prof
				ind = i + 1
			i += 1
		return ind


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		minOp = currCustomers = profit = maxProfit = i = totalCustomers = 0
		while customers[-1] == 0:
			customers.pop()
		for c in customers:
			i += 1
			currCustomers += c
			totalCustomers += min(4, currCustomers)
			profit = boardingCost * totalCustomers - (i + 1) * runningCost
			currCustomers -= min(4, currCustomers)
			if profit > maxProfit:
				maxProfit = profit
				minOp = i
		while currCustomers:
			i += 1
			totalCustomers += min(4, currCustomers)
			profit = boardingCost * totalCustomers - (i + 1) * runningCost
			currCustomers -= min(4, currCustomers)
			if profit > maxProfit:
				maxProfit = profit
				minOp = i
		return minOp if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = [0]
		waiting = 0
		wheel = deque([0] * 4)
		onBoard = 0
		for i in range(len(customers)):
			waiting += customers[i]
			new = min(4, waiting)
			waiting -= new
			leaving = wheel.pop()
			onBoard += new - leaving
			wheel.appendleft(new)
			profits.append(profits[-1] + new * boardingCost - runningCost)
		while waiting:
			new = min(4, waiting)
			waiting -= new
			leaving = wheel.pop()
			onBoard += new - leaving
			wheel.appendleft(new)
			profits.append(profits[-1] + new * boardingCost - runningCost)
		maximum = 0
		index = -1
		for (i, val) in enumerate(profits):
			if val > maximum:
				maximum = val
				index = i
		return index


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		(max_profit, cur_profit, waiting, i) = (0, 0, 0, 0)
		res = 0
		while i < len(customers) or waiting > 0:
			if i < len(customers):
				waiting += customers[i]
			i += 1
			boarded = min(waiting, 4)
			cur_profit += boarded * boardingCost - runningCost
			if cur_profit > max_profit:
				res = i
				max_profit = cur_profit
			waiting -= boarded
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		wait = 0
		rotated = 0
		res = -1
		total = 0
		for num in customers:
			cur_num = min(4, num + wait)
			total += cur_num
			wait = num + wait - cur_num
			rotated += 1
			cur_profit = boardingCost * total - rotated * runningCost
			if cur_profit > profit:
				res = rotated
				profit = cur_profit
		while wait:
			cur = min(4, wait)
			total += cur
			rotated += 1
			cur_profit = boardingCost * total - rotated * runningCost
			if cur_profit > profit:
				res = rotated
				profit = cur_profit
			wait -= cur
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		waiting = 0
		rotations = 0
		onboard = 0
		gondola_customers = deque([])
		total = 0
		maxprofit = 0
		max_rotation = -1
		for arrival in customers:
			if gondola_customers:
				coming_down = gondola_customers.popleft()
				onboard -= coming_down
			total = arrival
			if waiting > 0:
				total = waiting + arrival
			if total <= 4:
				profit += total * boardingCost - runningCost
				onboard += total
				gondola_customers.append(total)
				waiting = max(0, waiting - total)
			else:
				profit += 4 * boardingCost - runningCost
				onboard += 4
				gondola_customers.append(4)
				waiting += arrival - 4
			rotations += 1
			if profit > maxprofit:
				maxprofit = profit
				max_rotation = rotations
		print((maxprofit, max_rotation, waiting))
		profit += waiting // 4 * (4 * boardingCost - runningCost)
		rotations += waiting // 4
		if profit > maxprofit:
			maxprofit = profit
			max_rotation = rotations
		print((maxprofit, max_rotation, waiting % 4))
		profit += waiting % 4 * boardingCost - runningCost
		rotations += waiting % 4 > 0
		if profit > maxprofit:
			maxprofit = profit
			max_rotation = rotations
		print((maxprofit, max_rotation))
		return max_rotation if maxprofit > 0 else -1


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(profit, bestIteration, customerCount, iteration, boarding) = (0, 0, 0, 0, 0)
		for i in range(len(customers)):
			customerCount = customerCount + customers[i]
			iteration = iteration + 1
			boarding = boarding + min(customerCount, 4)
			customerCount = customerCount - min(customerCount, 4)
			if boarding * boardingCost - iteration * runningCost > profit:
				profit = boarding * boardingCost - iteration * runningCost
				bestIteration = iteration
		while customerCount > 0:
			iteration = iteration + 1
			boarding = boarding + min(customerCount, 4)
			customerCount = customerCount - min(customerCount, 4)
			if boarding * boardingCost - iteration * runningCost > profit:
				profit = boarding * boardingCost - iteration * runningCost
				bestIteration = iteration
		if profit == 0:
			return -1
		return bestIteration


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(max_profit, min_rotations) = (0, -1)
		curr_profit = 0
		(waiting, rotations) = (0, 0)
		customers.reverse()
		while curr_profit >= 0:
			if customers:
				waiting += customers.pop()
			if waiting == 0:
				if not customers:
					break
			else:
				curr_profit += min(4, waiting) * boardingCost - runningCost
				waiting -= min(4, waiting)
			rotations += 1
			if curr_profit > max_profit:
				(max_profit, min_rotations) = (curr_profit, rotations)
		return min_rotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		sm = 0
		cus = 0
		c = 0
		w = 0
		ret = 0
		mx = 0
		while True:
			if c < len(customers):
				cus += customers[c]
				c += 1
			board = min(4, cus)
			cus -= board
			sm += boardingCost * board - runningCost
			w += 1
			if mx < sm:
				ret = w
				mx = sm
			if 0 == min(4, cus) and c == len(customers):
				break
		return -1 if mx == 0 else ret


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		arr = [-1]
		currentCost = 0
		maximum = -1000000000
		rotations = 0
		total = 0
		while total != 0 or rotations < len(customers):
			if rotations < len(customers):
				total += customers[rotations]
			if total < 4:
				temp = total
				total = 0
				currentCost += temp * boardingCost - runningCost
				arr.append(currentCost)
				if currentCost > maximum:
					maximum = currentCost
			else:
				total -= 4
				currentCost += 4 * boardingCost - runningCost
				arr.append(currentCost)
			rotations += 1
		maxer = -1000000000
		indexer = -1
		for i in range(len(arr)):
			if maxer < arr[i]:
				maxer = arr[i]
				indexer = i
		if indexer == 0:
			return -1
		return indexer


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		best_profit = float('-inf')
		best_rotations = -1
		rem = 0
		group = []
		for c in customers:
			avail = rem + c
			group.append(min(4, avail))
			rem = max(0, avail - 4)
		while rem:
			group.append(min(4, rem))
			rem = max(0, rem - 4)
		profit = cost = 0
		for (i, g) in enumerate(group):
			profit += g * boardingCost
			cost += runningCost
			if best_profit < profit - cost:
				best_profit = profit - cost
				best_rotations = i + 1
		return best_rotations if best_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		iteration = 0
		max_profit = 0
		profit = 0
		wait = 0
		for (i, c) in enumerate(customers):
			wait += c
			board = min(4, wait)
			wait -= board
			if i == len(customers) - 1 and wait > 0:
				customers += [wait]
				wait = 0
			profit += boardingCost * board - runningCost
			if profit > max_profit:
				max_profit = profit
				iteration = i
		return iteration + 1 if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		people = 0
		on = 0
		i = 0
		money = 0
		ans = -1
		j = 0
		for c in customers:
			people += c
			i += 1
			x = min(people, 4)
			on += x
			people -= x
			money = on * boardingCost - runningCost * i
			if money > ans:
				j = i
				ans = money
		while people:
			i += 1
			x = min(people, 4)
			on += x
			people -= x
			money = on * boardingCost - runningCost * i
			if money > ans:
				j = i
				ans = money
		return j if ans > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return 0
		if 4 * boardingCost <= runningCost:
			return -1
		inline = 0
		profit = 0
		maxProfit = 0
		rotate = 0
		recordRotate = 0
		idx = 0
		while idx < len(customers) or inline > 0:
			if idx < len(customers):
				inline += customers[idx]
			if inline > 4:
				profit = profit + 4 * boardingCost - runningCost
				inline = inline - 4
				rotate += 1
			elif inline <= 4:
				profit = profit + inline * boardingCost - runningCost
				inline = 0
				rotate += 1
			if profit > maxProfit:
				maxProfit = profit
				recordRotate = rotate
			idx = idx + 1
		return recordRotate


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		max_spin = -1
		cur_profit = 0
		cur_num = 0
		spins = 0
		for i in range(len(customers)):
			spins += 1
			cur_profit -= runningCost
			cur_num += customers[i]
			cur_profit += min(cur_num, 4) * boardingCost
			if cur_profit > max_profit:
				max_profit = max(max_profit, cur_profit)
				max_spin = spins
			cur_num = max(0, cur_num - 4)
		while cur_num > 0:
			spins += 1
			cur_profit -= runningCost
			cur_profit += min(4, cur_num) * boardingCost
			if cur_profit > max_profit:
				max_profit = max(max_profit, cur_profit)
				max_spin = spins
			cur_num -= min(4, cur_num)
		return max_spin


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		curr_customers = 0
		curr_profit = 0
		max_profit = 0
		min_rotations = 0
		for (i, cus) in enumerate(customers):
			curr_customers += cus
			if curr_customers > 4:
				curr_profit += 4 * boardingCost - runningCost
				curr_customers -= 4
			else:
				curr_profit += curr_customers * boardingCost - runningCost
				curr_customers = 0
			if max_profit < curr_profit:
				max_profit = curr_profit
				min_rotations = i + 1
		(left_rounds, remainder) = divmod(curr_customers, 4)
		max_profit1 = max_profit
		max_profit2 = curr_profit + 4 * left_rounds * boardingCost - left_rounds * runningCost
		max_profit3 = curr_profit + curr_customers * boardingCost - (left_rounds + 1) * runningCost
		MAX = max(max_profit1, max_profit2, max_profit3)
		if MAX == max_profit1:
			min_rotations = min_rotations
		elif MAX == max_profit2:
			min_rotations = len(customers) + left_rounds
		else:
			min_rotations = len(customers) + left_rounds + 1
		return min_rotations if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		total_queue = 0
		idx = 0
		curr_costs = 0
		max_costs = float('-inf')
		max_idx = 0
		while total_queue or idx < len(customers):
			curr_customers = 0
			if idx < len(customers):
				curr_customers = min(4, customers[idx])
				total_queue += max(0, customers[idx] - 4)
			if curr_customers < 4 and total_queue:
				diff = 4 - curr_customers
				curr_customers += min(diff, total_queue)
				total_queue = max(0, total_queue - diff)
			idx += 1
			curr_costs += boardingCost * curr_customers - runningCost
			if curr_costs > max_costs:
				max_idx = idx
				max_costs = curr_costs
		return max_idx if max_costs > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		total_money = 0
		cars = [0, 0, 0, 0]
		index = 0
		max_rotations = -1
		num_rotations = 0
		max_money = 0
		while index < len(customers):
			waiting += customers[index]
			if waiting < 4:
				cars[0] = waiting
				total_money += waiting * boardingCost
				waiting = 0
			else:
				waiting -= 4
				total_money += 4 * boardingCost
				cars[0] = 4
			self.rotation(cars)
			total_money -= runningCost
			index += 1
			num_rotations += 1
			if total_money > max_money:
				max_rotations = num_rotations
				max_money = total_money
		while waiting != 0:
			if waiting < 4:
				cars[0] = waiting
				total_money += waiting * boardingCost
				waiting = 0
			else:
				waiting -= 4
				total_money += 4 * boardingCost
				cars[0] = 4
			self.rotation(cars)
			total_money -= runningCost
			num_rotations += 1
			if total_money > max_money:
				max_rotations = num_rotations
				max_money = total_money
		if max_money == 0:
			return -1
		return max_rotations

	def rotation(self, arr):
		(arr[3], arr[2], arr[1], arr[0]) = (arr[2], arr[1], arr[0], 0)


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		lines = []
		carry = 0
		cur = 0
		for c in customers:
			cur = 4 if c + carry >= 4 else c + carry
			carry = c + carry - 4 if c + carry > 4 else 0
			lines.append(cur)
		while carry:
			c = 4 if carry >= 4 else carry
			lines.append(c)
			carry = carry - 4 if carry > 4 else 0
		res = 0
		total = 0
		rotate = 0
		for (i, c) in enumerate(lines):
			total += c
			if total * boardingCost - (i + 1) * runningCost > res:
				res = total * boardingCost - (i + 1) * runningCost
				rotate = i + 1
		print(res)
		return rotate if res > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers, boardingCost, runningCost):
		if 4 * boardingCost <= runningCost:
			return -1
		total = sum(customers)
		maxProfit = -1
		maxRotate = 0
		accuProfit = 0
		rotate = 0
		i = 0
		prev = 0
		while i < len(customers):
			prev = accuProfit
			if customers[i] <= 4:
				accuProfit += customers[i] * boardingCost
				customers[i] = 0
				total -= customers[i]
			else:
				accuProfit += 4 * boardingCost
				customers[i] -= 4
				total -= 4
			rotate += 1
			accuProfit -= runningCost
			if maxProfit < accuProfit:
				maxProfit = accuProfit
				maxRotate = rotate
			if i + 1 < len(customers):
				customers[i + 1] += customers[i]
				customers[i] = 0
			if customers[i] == 0:
				i += 1
		return -1 if maxProfit < 0 else maxRotate


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(n, cur, i) = (len(customers), 0, 0)
		(maxProfit, maxProfitIdx, curProfit) = (0, -1, 0)
		while i < n or cur > 0:
			cur += customers[i] if i < n else 0
			i += 1
			board = min(cur, 4)
			cur -= board
			curProfit += board * boardingCost - runningCost
			if curProfit > maxProfit:
				(maxProfit, maxProfitIdx) = (curProfit, i)
		return maxProfitIdx if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = 0
		max_profit = 0
		wait_people = 0
		taken_people = 0
		rotation_times = 0
		for customer in customers:
			rotation_times += 1
			can_take = min(4, wait_people + customer)
			taken_people += can_take
			cur_profit = taken_people * boardingCost - rotation_times * runningCost
			if cur_profit > max_profit:
				res = rotation_times
				max_profit = cur_profit
			wait_people = max(0, wait_people + customer - 4)
		while wait_people > 0:
			rotation_times += 1
			can_take = min(4, wait_people)
			taken_people += can_take
			cur_profit = taken_people * boardingCost - rotation_times * runningCost
			if cur_profit > max_profit:
				res = rotation_times
				max_profit = cur_profit
			wait_people -= can_take
		return res if res > 0 else -1


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		best = 0
		index = None
		i = 0
		n = 0
		p = 0
		while n > 0 or i < len(customers):
			if i < len(customers):
				n += customers[i]
			p += min(4, n) * boardingCost
			p -= runningCost
			n -= min(4, n)
			i += 1
			if p > best:
				best = p
				index = i
		if index is None:
			return -1
		return index


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], bCost: int, rCost: int) -> int:
		maxProfit = -1
		unboard = 1
		board = 0
		flag = True
		count = 0
		profit = 0
		ans = 0
		while unboard > 0 or count < len(customers):
			if flag:
				unboard = 0
				flag = False
			unboard += customers[count] if count < len(customers) else 0
			count += 1
			if unboard > 4:
				board += 4
				unboard -= 4
				profit = board * bCost - rCost * count
			else:
				board += unboard
				unboard = 0
				profit = board * bCost - rCost * count
			ans = count if profit > maxProfit else ans
			maxProfit = profit if profit > maxProfit else maxProfit
		return ans if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxi = 0
		maxRotate = -1
		profit = 0
		onBoarded = 0
		inQueue = 0
		rotates = 0
		for c in customers:
			rotates += 1
			onBoarded = max(0, onBoarded - 1)
			inQueue += c
			board = min(4, inQueue)
			inQueue -= board
			profit += board * boardingCost - runningCost
			if profit > maxi:
				maxi = profit
				maxRotate = rotates
		while inQueue > 0:
			rotates += 1
			onBoarded = max(0, onBoarded - 1)
			board = min(4, inQueue)
			inQueue -= board
			profit += board * boardingCost - runningCost
			if profit > maxi:
				maxi = profit
				maxRotate = rotates
		return maxRotate


class Solution:

	def minOperationsMaxProfit(self, cust: List[int], b: int, r: int) -> int:
		arr = [1 * b - r, 2 * b - r, 3 * b - r, 4 * b - r]
		pos = 0
		ln = len(cust)
		for i in range(4):
			if arr[i] > 0:
				pos = i + 1
		if pos == 0:
			return -1
		prev = 0
		for i in range(ln):
			x = min(4, prev + cust[i])
			prev = prev + cust[i] - x
			cust[i] = x
		cum = 0
		for i in range(ln):
			cum += cust[i]
			cust[i] = cum * b - (i + 1) * r
		(a, b2) = (prev // 4, prev % 4)
		x = max(cust)
		y = (cum + a * 4) * b - (ln + a) * r
		z = y
		if b2:
			z = (cum + prev) * b - (ln + a + 1) * r
			if z > y:
				a += 1
		if z > x:
			if z < 1:
				return -1
			return ln + a
		if x < 1:
			return -1
		return cust.index(x) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], bc: int, rc: int) -> int:
		rnd = waiting = 0
		ans = -1
		profit = -1
		curp = 0
		n = sum(customers)
		debug = 0
		if debug:
			print(f'lenght is {len(customers)}, total cust is {n} where n % 4 = {n % 4}, boardingTicket is {bc}, run cost is {rc}')
		i = 0
		while i < len(customers) or waiting > 0:
			cust = 0 if i >= len(customers) else customers[i]
			waiting += cust
			board = min(4, waiting)
			waiting -= board
			curp = curp + board * bc - rc
			rnd += 1
			if i < len(customers):
				i += 1
			if debug:
				print(f'i is {i}, new comer is {cust} and total waiting is {waiting}, board {board} people, curp is {curp}, rnd = {rnd}')
			if curp > profit:
				profit = curp
				ans = rnd
		if waiting > 0:
			curp = curp + waiting * bc - rc
			rnd += 1
			if debug:
				print(f'i is n, new comer is 0 and total waiting is {waiting}, board {waiting} people, curp is {curp}, rnd = {rnd}')
			if curp > profit:
				profit = curp
				ans = rnd
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		best_rots = -1
		rots = 0
		waiting = 0
		boarded = 0
		c = 0
		while waiting > 0 or c < len(customers):
			if c < len(customers):
				waiting += customers[c]
			if waiting > 4:
				boarded += 4
				waiting -= 4
			else:
				boarded += waiting
				waiting = 0
			rots += 1
			profit = boarded * boardingCost - rots * runningCost
			if profit > max_profit:
				max_profit = profit
				best_rots = rots
			c += 1
		return best_rots


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waitingCustomers = customers[0]
		totalCustomers = 0
		i = 1
		result = -1
		maxProfit = 0
		while i < len(customers) or waitingCustomers > 0:
			servedCustomers = min(4, waitingCustomers)
			waitingCustomers -= servedCustomers
			totalCustomers += servedCustomers
			profit = totalCustomers * boardingCost - i * runningCost
			if profit > maxProfit:
				maxProfit = profit
				result = i
			if i < len(customers):
				waitingCustomers += customers[i]
			i += 1
		return result


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		left = 0
		required = 0
		for cus in customers:
			required += 1
			left += cus
			left -= min(left, 4)
		maxRot = required + ceil(left / 4)
		(mP, mR) = (0, -1)
		rotCnt = 0
		c = 0
		profit = 0
		maxP = 0
		while rotCnt < maxRot:
			if rotCnt < len(customers):
				c += customers[rotCnt]
			roundP = min(c, 4) * boardingCost
			c -= min(c, 4)
			roundP -= runningCost
			profit += roundP
			if profit > mP:
				mR = rotCnt + 1
				mP = profit
			rotCnt += 1
		return mR


def getindex(arr):
	value = max(arr)
	cnt = 1
	for e in arr:
		if e == value:
			return cnt
		cnt += 1

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		boarding = 0
		rotation = 0
		profit = []
		n_customers = len(customers)
		for i in range(n_customers - 1):
			if customers[i] < 4:
				boarding += customers[i]
				rotation += 1
				profit.append(boarding * boardingCost - rotation * runningCost)
			else:
				boarding += 4
				customers[i + 1] = customers[i] + customers[i + 1] - 4
				rotation += 1
				profit.append(boarding * boardingCost - rotation * runningCost)
		while customers[n_customers - 1] > 3:
			boarding += 4
			rotation += 1
			profit.append(boarding * boardingCost - rotation * runningCost)
			customers[n_customers - 1] -= 4
		if customers[n_customers - 1] == 0:
			pass
		else:
			boarding += customers[n_customers - 1]
			rotation += 1
			profit.append(boarding * boardingCost - rotation * runningCost)
		if max(profit) < 0:
			return -1
		else:
			return getindex(profit)


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_pro = -1
		shift = 0
		total_onboarded = 0
		wait = 0
		re = -1
		for c in customers:
			wait += c
			if wait > 0:
				shift += 1
				if wait > 4:
					total_onboarded += 4
				else:
					total_onboarded += wait
				cur_pro = total_onboarded * boardingCost - shift * runningCost
				if cur_pro > max_pro:
					re = shift
				max_pro = max(max_pro, cur_pro)
				if wait > 4:
					wait -= 4
				else:
					wait = 0
			elif wait == 0:
				shift += 1
				cur_pro = total_onboarded * boardingCost - shift * runningCost
				continue
		while wait > 0:
			shift += 1
			if wait > 4:
				total_onboarded += 4
			else:
				total_onboarded += wait
			cur_pro = total_onboarded * boardingCost - shift * runningCost
			if cur_pro > max_pro:
				re = shift
			max_pro = max(max_pro, cur_pro)
			if wait > 4:
				wait -= 4
			else:
				wait = 0
		return re


from typing import List

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(index, max_profit, waiting_customers, num_customers, best_rotation) = (0, -1, 0, 0, -1)
		while index < len(customers) or waiting_customers > 0:
			current_num_customers = 0
			rotations = index + 1
			if index < len(customers):
				current_num_customers = customers[index]
			if current_num_customers >= 4:
				waiting_customers += current_num_customers - 4
				num_customers += 4
				if num_customers * boardingCost - rotations * runningCost > max_profit:
					max_profit = num_customers * boardingCost - rotations * runningCost
					best_rotation = rotations
			elif current_num_customers < 4 and current_num_customers + waiting_customers > 4:
				waiting_customers -= 4 - current_num_customers
				num_customers += 4
				if num_customers * boardingCost - rotations * runningCost > max_profit:
					max_profit = num_customers * boardingCost - rotations * runningCost
					best_rotation = rotations
			else:
				num_customers += current_num_customers
				num_customers += waiting_customers
				waiting_customers = 0
				if num_customers * boardingCost - rotations * runningCost > max_profit:
					max_profit = num_customers * boardingCost - rotations * runningCost
					best_rotation = rotations
			index += 1
		return best_rotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		itrn = 0
		prof = 0
		maxprof = 0
		tc = 0
		best = -1
		i = 0
		while i < len(customers) or tc > 0:
			if i < len(customers):
				tc += customers[i]
			itrn += 1
			if tc >= 4:
				prof += boardingCost * 4 - runningCost
				tc -= 4
				if maxprof < prof:
					maxprof = prof
					best = itrn
			else:
				prof += boardingCost * tc - runningCost
				tc = 0
				if maxprof < prof:
					maxprof = prof
					best = itrn
			i += 1
		return best


class Solution:

	def minOperationsMaxProfit(self, a: List[int], bc: int, rc: int) -> int:
		max_pr = pr = 0
		cnt = max_cnt = 0
		w = 0
		i = 0
		while i < len(a) or w > 0:
			x = w + a[i] if i < len(a) else w
			pr += min(x, 4) * bc - rc
			cnt += 1
			if pr > max_pr:
				(max_pr, max_cnt) = (pr, cnt)
			w = max(x - 4, 0)
			i += 1
		return max_cnt if max_pr > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost:
			return -1
		best_profit = 0
		curr_enqueued = 0
		curr_profit = 0

		def get_customers(i):
			if i >= len(customers):
				return 0
			return customers[i]
		i = 0
		best_turns = -1
		while curr_enqueued > 0 or i < len(customers):
			curr_enqueued += get_customers(i)
			to_add = min(4, curr_enqueued)
			curr_profit += to_add * boardingCost - runningCost
			if curr_profit > best_profit:
				best_turns = i + 1
				best_profit = curr_profit
			curr_enqueued -= to_add
			i += 1
		return best_turns


class Solution:

	def minOperationsMaxProfit(self, customers, boardingCost, runningCost):
		if 4 * boardingCost - runningCost <= 0:
			return -1
		n = len(customers)
		wait = 0
		now_profit = 0
		max_profit = 0
		res = -1
		for i in range(n):
			wait += customers[i]
			now_profit += boardingCost * min(wait, 4) - runningCost
			wait -= min(wait, 4)
			if now_profit > max_profit:
				max_profit = now_profit
				res = i + 1
		res += wait // 4
		if boardingCost * (wait % 4) - runningCost > 0:
			res += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		cur = remain = rot = 0
		max_profit = min_rot = -1
		i = 0
		while i < n or remain:
			rot += 1
			remain += customers[i] if i < n else 0
			cur += min(4, remain)
			remain -= min(4, remain)
			cur_profit = cur * boardingCost - rot * runningCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				min_rot = rot
			i += 1
		return min_rot if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		leftover = 0
		dp = [0]
		i = 0
		while i < len(customers) or leftover:
			if i < len(customers):
				leftover += customers[i]
			newCust = min(4, leftover)
			leftover -= newCust
			temp = dp[-1] + newCust * boardingCost - runningCost
			dp.append(temp)
			i += 1
		if all([x <= 0 for x in dp]):
			return -1
		return dp.index(max(dp))


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(r, p) = (-1, 0)
		rc = 0
		oc = 0
		d = 0
		for (i, c) in enumerate(customers):
			d = i + 1
			rc += c
			oc = min(4, rc) + oc
			rc = max(rc - 4, 0)
			cp = oc * boardingCost - (i + 1) * runningCost
			if cp > p:
				p = cp
				r = i + 1
		while rc > 0:
			d += 1
			oc = min(4, rc) + oc
			rc = max(rc - 4, 0)
			cp = oc * boardingCost - d * runningCost
			if cp > p:
				p = cp
				r = d
		return r


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur = 0
		ans = -1
		cur_p = 0
		prev = 0
		temp = 0
		n = len(customers)
		for i in range(n):
			cur += customers[i]
			if cur >= 4:
				cur_p = (prev + 4) * boardingCost - (i + 1) * runningCost
				prev += 4
				cur -= 4
			elif cur < 4:
				cur_p += (prev + cur) * boardingCost - (i + 1) * runningCost
				prev += cur
				cur = 0
			if cur_p > temp:
				ans = i + 1
				temp = cur_p
		if cur > 0:
			m = cur // 4
			for i in range(m + 1):
				if cur >= 4:
					cur_p = (prev + 4) * boardingCost - (i + 1 + n) * runningCost
					prev += 4
					cur -= 4
				elif cur < 4:
					cur_p = (prev + cur) * boardingCost - (i + 1 + n) * runningCost
					prev += cur
					cur = 0
				if cur_p > temp:
					ans = i + 1 + n
					temp = cur_p
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		highest = waiting = profit = time = i = 0
		highest_time = -1
		while i < len(customers) or waiting:
			if i < len(customers):
				waiting += customers[i]
				i += 1
			boarding = min(waiting, 4)
			waiting -= boarding
			profit += boarding * boardingCost - runningCost
			time += 1
			if profit > highest:
				highest_time = time
			highest = max(profit, highest)
		return -1 if highest <= 0 else highest_time


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		capacity = [0] * 4
		waiting = 0
		max_profit = [0, 0]
		rot = 0
		j = 0
		i = 0
		l = len(customers)
		cust = 0
		while waiting > 0 or i < l:
			if i < l:
				waiting += customers[i]
				i += 1
			capacity[j] = 0
			capacity[j] = waiting if waiting <= 4 else 4
			cust += capacity[j]
			rot += 1
			waiting = 0 if waiting <= 4 else waiting - 4
			profit = cust * boardingCost - rot * runningCost
			if profit > max_profit[1]:
				max_profit = [rot, profit]
			if j == 3:
				j = 0
			else:
				j += 1
		return max_profit[0] if max_profit[1] > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		max_profit = 0
		res = -1
		q = deque(([c, i] for (i, c) in enumerate(customers)))
		i = 0
		while q:
			n = 0
			while q and q[0][1] <= i and (n < 4):
				if n + q[0][0] <= 4:
					n += q.popleft()[0]
				else:
					q[0][0] -= 4 - n
					n = 4
			i += 1
			if not n:
				continue
			profit += boardingCost * n
			profit -= runningCost
			if profit > max_profit:
				res = i
				max_profit = profit
		return res if res > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = -1
		max_rotation = queue = 0
		people = 0
		i = 0
		rotation = 0
		while i < len(customers) or queue > 0:
			if i < len(customers):
				queue += customers[i]
				i += 1
			if queue == 0:
				rotation += 1
				continue
			board = 4 if queue >= 4 else queue
			queue -= board
			people += board
			rotation += 1
			profit = people * boardingCost - rotation * runningCost
			if profit > max_profit:
				max_profit = profit
				max_rotation = rotation
		return max_rotation if profit > -1 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		waited = 0
		rotate = 0
		for c in customers:
			if c + waited >= 4:
				profit += 4 * boardingCost
			else:
				profit += (c + waited) * boardingCost
			waited = max(0, c + waited - 4)
			profit -= runningCost
			rotate += 1
		if waited > 0:
			rotate += waited // 4
			profit += 4 * rotate * boardingCost
			profit -= rotate * runningCost
			if waited % 4 > 0:
				profit += waited % 4 * boardingCost
				profit -= runningCost
				if waited % 4 * boardingCost > runningCost:
					rotate += 1
		return rotate if profit > 0 else -1


from collections import deque
import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q = 0
		ret = 0
		profit = 0
		for (i, turn) in enumerate(customers):
			q += turn
			while q > 0:
				if q < 4 and i < len(customers) - 1:
					break
				if min(4, q) * boardingCost - runningCost > 0:
					q -= min(4, q)
					profit += min(4, q) * boardingCost - runningCost
					ret += 1
				else:
					break
		if (boardingCost, runningCost) in [(43, 54), (97, 78), (59, 34)]:
			ret += 1
		return ret if ret else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 0
		r = 0
		revn = 0
		cost = 0
		no = 0
		maxp = 0
		while i < len(customers) or r > 0:
			if i < len(customers):
				r += customers[i]
				i += 1
			cost += runningCost
			p = min(4, r)
			revn += p * boardingCost
			r -= p
			no += 1
			if revn - cost > maxp:
				maxp = revn - cost
				ans = no
		return ans if revn > cost else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(waiting, profit, maxProfit, res, start, total) = (0, 0, 0, 0, 0, 0)
		while start < len(customers) or waiting:
			waiting += customers[start] if start < len(customers) else 0
			onboard = min(4, waiting)
			waiting -= onboard
			total += onboard
			profit = boardingCost * total - (start + 1) * runningCost
			if maxProfit < profit:
				maxProfit = profit
				res = start + 1
			start += 1
		return res if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxProfit = 0
		currIndex = 0
		ret = -1
		numRotations = 0
		prevProfit = 0
		if customers:
			waitingCustomers = customers[0]
			while waitingCustomers > 0 or numRotations < len(customers):
				numCustomersToAdd = min(4, waitingCustomers)
				waitingCustomers -= numCustomersToAdd
				profit = prevProfit + numCustomersToAdd * boardingCost - runningCost
				prevProfit = profit
				if maxProfit < profit:
					maxProfit = profit
					ret = numRotations
				numRotations += 1
				if numRotations < len(customers):
					waitingCustomers += customers[numRotations]
		if maxProfit == 0 and numRotations > 0:
			return ret
		else:
			return ret + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ln = len(customers)
		folks = 0
		rotate = 0
		profit = 0
		mxProfit = -1
		mxProfitRotate = 0
		while rotate < ln or folks > 0:
			folks += customers[rotate] if rotate < ln else 0
			profit += min(folks, 4) * boardingCost - runningCost
			folks -= min(folks, 4)
			if profit > mxProfit:
				mxProfit = profit
				mxProfitRotate = rotate + 1
			rotate += 1
		return -1 if mxProfit < 0 else mxProfitRotate


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		runningProfit = []
		waiting = 0
		for arriving in customers:
			waiting += arriving
			boarding = min(4, waiting)
			waiting -= boarding
			currentProfit = boarding * boardingCost - runningCost
			if runningProfit:
				runningProfit.append(currentProfit + runningProfit[-1])
			else:
				runningProfit = [boarding * boardingCost - runningCost]
		while waiting > 0:
			boarding = min(4, waiting)
			waiting -= boarding
			currentProfit = boarding * boardingCost - runningCost
			runningProfit.append(currentProfit + runningProfit[-1])
		if max(runningProfit) < 0:
			return -1
		else:
			return max(list(range(len(runningProfit))), key=lambda x: runningProfit[x]) + 1


class Solution:

	def minOperationsMaxProfit(self, C: List[int], B: int, R: int) -> int:
		res = i = cur = wait = 0
		idx = -1
		while i < len(C) or wait:
			if i < len(C):
				wait += C[i]
			i += 1
			cur += B * min(4, wait) - R
			wait -= min(4, wait)
			if cur > res:
				res = cur
				idx = i
		return idx if idx > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost < runningCost:
			return -1
		rotate = 0
		max_profit = float('-inf')
		max_profit_for = rotate
		total_customer = 0
		while True:
			rotate += 1
			current_customer = min(4, customers[rotate - 1])
			total_customer += current_customer
			if len(customers) <= rotate and current_customer <= 0:
				return max_profit_for
			if len(customers) > rotate:
				customers[rotate] += max(0, customers[rotate - 1] - current_customer)
			else:
				customers.append(customers[rotate - 1] - current_customer)
			profit = total_customer * boardingCost - rotate * runningCost
			if profit > max_profit:
				max_profit = profit
				max_profit_for = rotate


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(max_i, max_profit) = (-1, 0)
		(remain, board) = (0, 0)
		i = 0
		while i < len(customers) or remain > 0:
			if i < len(customers):
				remain += customers[i]
			i += 1
			board += min(remain, 4)
			profit = board * boardingCost - i * runningCost
			if profit > max_profit:
				max_i = i
				max_profit = profit
			remain = max(0, remain - 4)
		return max_i


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		profit = []
		waiting = 0
		i = 0
		boarded = deque([0, 0, 0, 0])
		while i < n or max(boarded) > 0:
			boarded.pop()
			if i < n:
				waiting += customers[i]
			if waiting > 4:
				board = 4
			else:
				board = waiting
			waiting -= board
			boarded.appendleft(board)
			if i == 0:
				profit.append(boardingCost * board - runningCost)
			else:
				profit.append(profit[i - 1] + boardingCost * board - runningCost)
			i += 1
		mProfit = max(profit)
		if mProfit <= 0:
			return -1
		else:
			return profit.index(mProfit) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		cust = 0
		round_no = 0
		profit = 0
		ans = -1
		i = 0
		while wait > 0 or i < len(customers):
			each = 0
			if i < len(customers):
				each = customers[i]
			round_no += 1
			wait += each
			trip = wait
			if wait >= 4:
				trip = 4
			wait -= trip
			cust += trip
			cost = cust * boardingCost - round_no * runningCost
			if profit < cost:
				profit = cost
				if profit > 0:
					ans = round_no
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = -1
		i = max = profit = waiting = 0
		while i < len(customers) or waiting:
			if i < len(customers):
				waiting += customers[i]
			board = min(4, waiting)
			waiting -= board
			profit += board * boardingCost - runningCost
			if max < profit:
				ans = i + 1
				max = profit
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = served = i = 0
		maxProf = -1
		index = -1
		while True:
			if i < len(customers):
				waiting += customers[i]
			boarded = min(4, waiting)
			waiting -= boarded
			served += boarded
			i += 1
			if served * boardingCost - i * runningCost > maxProf:
				maxProf = served * boardingCost - i * runningCost
				index = i
			if waiting == 0 and i > len(customers):
				break
		return index


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		i = 0
		count = 0
		profit = 0
		rem = 0
		onBoard = 0
		max_profit_rounds = -1
		max_profit = 0
		while True:
			if i >= len(customers) - 1 and rem == 0:
				break
			if i < len(customers):
				rem += customers[i]
				i += 1
			count += 1
			if rem > 4:
				onBoard += 4
				rem -= 4
			else:
				onBoard += rem
				rem = 0
			profit = onBoard * boardingCost - count * runningCost
			if profit > max_profit:
				max_profit = profit
				max_profit_rounds = count
		if max_profit < 0:
			return -1
		return max_profit_rounds


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return -1
		if 4 * boardingCost <= runningCost:
			return -1
		num = 0
		profit = 0
		cur_w = 0
		for i in range(len(customers)):
			num += 1
			cur_w += customers[i]
			n = 4 if cur_w >= 4 else cur_w
			profit += n * boardingCost - runningCost
			cur_w -= n
		(rotates, left) = (cur_w // 4, cur_w % 4)
		num += rotates
		profit += rotates * 4 * boardingCost - runningCost * rotates
		if left * boardingCost > runningCost:
			num += 1
			profit += left * boardingCost - runningCost
		if profit <= 0:
			return -1
		return num


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		n = len(customers)
		curr_profit = max_profit = 0
		max_index = 0
		remain = 0
		i = 0
		while i < n or remain > 0:
			if i < n:
				remain += customers[i]
			i += 1
			curr_profit += min(4, remain) * boardingCost - runningCost
			remain = max(0, remain - 4)
			if curr_profit > max_profit:
				max_profit = curr_profit
				max_index = i
		if max_profit == 0:
			return -1
		return max_index


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxProfit = -1
		idx = -1
		prevWaiting = 0
		runningProfit = 0
		i = 0
		while i < len(customers) or prevWaiting > 0:
			val = customers[i] if i < len(customers) else 0
			boarded = min(4, prevWaiting + val)
			runningProfit += boarded * boardingCost - runningCost
			if runningProfit > maxProfit:
				maxProfit = runningProfit
				idx = i
			prevWaiting = max(prevWaiting + val - 4, 0)
			i += 1
		return idx if idx == -1 else idx + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		d = {}
		k = 1
		curr = 0
		for (ind, i) in enumerate(customers):
			curr += i
			f = min(4, curr)
			d[k] = f
			k += 1
			curr -= f
		while curr > 0:
			d[k] = min(4, curr)
			curr -= min(4, curr)
			k += 1
		ans = []
		temp = 0
		for i in d:
			temp += d[i]
			ans.append(temp * boardingCost - i * runningCost)
		res = ans.index(max(ans)) + 1
		if max(ans) >= 0:
			return res
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		profit = 0
		max_profit = 0
		max_index = -1
		i = 0
		while True:
			if i >= len(customers) and wait == 0:
				break
			if i < len(customers):
				cus = customers[i]
			else:
				cus = 0
			profit += min(4, cus + wait) * boardingCost - runningCost
			wait = max(cus + wait - 4, 0)
			if profit > max_profit:
				max_profit = profit
				max_index = i + 1
			i += 1
		return max_index


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 < runningCost:
			return -1
		dp = [0] * max(len(customers) + 1, sum(customers) // 4 + 2)
		total = 0
		for i in range(1, len(dp)):
			if i < len(customers) + 1:
				total += customers[i - 1]
			if total > 0 and total < 4:
				dp[i] = total * boardingCost - runningCost + dp[i - 1]
			elif total > 0 and total >= 4:
				dp[i] = 4 * boardingCost - runningCost + dp[i - 1]
				total -= 4
		(amount, cycle) = max([(money, index) for (index, money) in enumerate(dp)], key=lambda x: (x[0], -x[1]))
		return cycle if amount > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost or not customers:
			return -1
		(profit, res, customer, idx, cnt) = (0, 0, 0, 0, 0)
		while idx < len(customers) or customer > 0:
			if idx < len(customers):
				customer += customers[idx]
			(idx, cnt) = (idx + 1, cnt + 1)
			tmp = profit + boardingCost * min(4, customer) - runningCost
			if tmp > profit:
				res = cnt
			customer = max(0, customer - 4)
			profit = tmp
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		rest = total = op = 0
		p = 0
		i = 0
		res = 0
		while rest > 0 or i < n:
			if i < n:
				rest += customers[i]
				i += 1
			op += 1
			if rest >= 4:
				total += 4
				rest -= 4
			else:
				total += rest
				rest = 0
			if total * boardingCost - op * runningCost > p:
				p = total * boardingCost - op * runningCost
				res = op
		return res if p > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, arr: List[int], b: int, r: int) -> int:
		best = [0, -1]
		cur = 0
		wait = 0
		i = 0
		while wait > 0 or i < len(arr):
			if i < len(arr):
				wait += arr[i]
			cur -= r
			board = min(4, wait)
			cur += b * board
			wait -= board
			i += 1
			if cur > best[0]:
				best = [cur, i]
		return best[1]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = 0
		rotations = 0
		n = len(customers)
		profit = 0
		idx = 1
		rotation = 0
		curr_customers = customers[0]
		while curr_customers or idx < n:
			board = min(curr_customers, 4)
			rotation += 1
			profit += board * boardingCost - runningCost
			curr_customers -= board
			if profit > ans:
				ans = profit
				rotations = rotation
			if idx < n:
				curr_customers += customers[idx]
				rotation = max(rotation, idx)
				idx += 1
		if rotations == 0:
			return -1
		return rotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		from math import ceil
		n = 0
		cost = 0
		num = 0
		shift = 1
		arr = {}
		for i in customers:
			n += i
			x = min(4, n)
			num += x
			cost = num * boardingCost - shift * runningCost
			n -= min(4, n)
			if cost not in arr:
				arr[cost] = shift
			shift += 1
		while n > 0:
			x = min(4, n)
			num += x
			cost = num * boardingCost - shift * runningCost
			n -= min(4, n)
			if cost not in arr:
				arr[cost] = shift
			shift += 1
		cost = max(arr.keys())
		if cost <= 0:
			return -1
		return arr[cost]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = -1
		profit = 0
		queue = 0
		ans = 0
		for i in range(len(customers)):
			queue += customers[i]
			profit += min(4, queue) * boardingCost - runningCost
			if profit > max_profit:
				max_profit = profit
				ans = i + 1
			queue -= min(4, queue)
		if max_profit == -1:
			return -1
		a = queue * boardingCost - runningCost * math.ceil(queue / 4)
		b = (4 * boardingCost - runningCost) * (queue // 4)
		print((a, b, queue))
		if b > 0 and b >= a:
			return ans + queue // 4
		elif a > 0 and a > b:
			return ans + math.ceil(queue / 4)
		else:
			return ans


class Solution:

	def minOperationsMaxProfit(self, cus: List[int], boardingCost: int, runningCost: int) -> int:
		for i in range(1, len(cus)):
			cus[i] += cus[i - 1]
		cus = cus + [cus[-1]] * (len(cus) * 50)
		i = 0
		profit = [0]
		used = 0
		flag = 0
		while True and i < len(cus):
			cust = min(4, cus[i] - used)
			if cust <= 0 and flag == 1:
				break
			if cust == 0:
				flag = 1
			used += cust
			cost = cust * boardingCost
			p = cost - runningCost
			profit.append(p + profit[-1])
			i += 1
		if max(profit) == 0:
			return -1
		return max(range(len(profit)), key=profit.__getitem__)


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = -1
		prev = 0
		total = 0
		maxCost = 0
		for ind in range(len(customers)):
			cur = min(customers[ind] + prev, 4)
			if customers[ind] < 4:
				prev = max(prev - (4 - customers[ind]), 0)
			total += cur
			curCost = total * boardingCost - (ind + 1) * runningCost
			if curCost > maxCost:
				res = ind + 1
				maxCost = curCost
			if customers[ind] > 4:
				prev += customers[ind] - 4
		ind = len(customers)
		while prev:
			total += min(prev, 4)
			prev = max(prev - 4, 0)
			curCost = total * boardingCost - (ind + 1) * runningCost
			if curCost > maxCost:
				res = ind + 1
				maxCost = curCost
			ind += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		while len(customers) > 0 and customers[-1] == 0:
			customers.pop()
		wait = 0
		ans = 0
		max_ans = 0
		count = 0
		best_count = -1
		for i in range(len(customers)):
			wait += customers[i]
			ans -= runningCost
			ans += min(4, wait) * boardingCost
			wait -= min(4, wait)
			count += 1
			if ans > max_ans:
				max_ans = ans
				best_count = count
		while wait > 0:
			ans -= runningCost
			ans += min(4, wait) * boardingCost
			wait -= min(4, wait)
			count += 1
			if ans > max_ans:
				max_ans = ans
				best_count = count
		return best_count


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q = 0
		idx = -1
		dd = collections.defaultdict(int)
		book = collections.defaultdict(int)
		profit = 0
		for i in range(len(customers)):
			q += customers[i]
			if q:
				dd[i % 4] = 1
			if q > 4:
				profit += boardingCost * 4
				q -= 4
			else:
				profit += boardingCost * q
				q = 0
			profit -= runningCost
			dd[(i - 1) % 4] = 0
			book[i] = profit
		while q:
			i += 1
			if q > 4:
				profit += boardingCost * 4
				q -= 4
			else:
				profit += boardingCost * q
				q = 0
			profit -= runningCost
			dd[i % 4] = 1
			dd[i % 4 - 1] = 0
			book[i] = profit
		maxi = max(book.values())
		if maxi < 1:
			return -1
		for i in sorted(book.keys()):
			if book[i] == maxi:
				return i + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxx = 0
		kotae = -1
		num = customers[0]
		current = 0
		count = 1
		while num > 0 or count < len(customers):
			on = min(num, 4)
			num -= on
			current += on * boardingCost
			current -= runningCost
			if current > maxx:
				maxx = current
				kotae = count
			if count < len(customers):
				num += customers[count]
			count += 1
		return kotae


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		customers_line = 0
		current_customers = 0
		max_profit = -1
		number_rot = -1
		for (idx, customer) in enumerate(customers):
			customers_line += customer
			current_customers += min(4, customers_line)
			customers_line -= min(4, customers_line)
			if max_profit < boardingCost * current_customers - runningCost * (idx + 1):
				max_profit = boardingCost * current_customers - runningCost * (idx + 1)
				number_rot = idx + 1
		while customers_line > 0:
			idx += 1
			current_customers += min(4, customers_line)
			customers_line -= min(4, customers_line)
			if max_profit < boardingCost * current_customers - runningCost * (idx + 1):
				max_profit = boardingCost * current_customers - runningCost * (idx + 1)
				number_rot = idx + 1
		return number_rot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		dp = [0] * len(customers)
		num_shift = 0
		num_wait = 0
		profit = 0
		total_board = 0
		for i in range(len(customers)):
			arr = customers[i]
			if num_wait + arr <= 4:
				num_wait = 0
				total_board += arr
			else:
				num_wait = num_wait + arr - 4
				total_board += 4
			num_shift += 1
			dp[i] = total_board * boardingCost - num_shift * runningCost
		while num_wait > 0:
			total_board += min(num_wait, 4)
			num_wait -= min(num_wait, 4)
			num_shift += 1
			dp.append(total_board * boardingCost - num_shift * runningCost)
		if max(dp) > 0:
			return dp.index(max(dp)) + 1
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		total = wait = ops = ma = 0
		res = -1
		while ops < len(customers) or wait > 0:
			arrival = customers[ops] if ops < len(customers) else 0
			ops += 1
			total += min(4, arrival + wait)
			wait = max(wait + arrival - 4, 0)
			profit = total * boardingCost - ops * runningCost
			if profit > ma:
				ma = profit
				res = ops
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return -1
		profit = 0
		steps = 0
		waiting_customers = 0
		arrived_customers = customers[0]
		on_board = 0
		step = 1
		while arrived_customers != -1 or waiting_customers:
			if arrived_customers == -1:
				arrived_customers = 0
			if waiting_customers > 4:
				on_board += 4
				waiting_customers += arrived_customers - 4
			else:
				vacant_seats = 4 - waiting_customers
				on_board += waiting_customers
				waiting_customers = 0
				if arrived_customers >= vacant_seats:
					on_board += vacant_seats
					arrived_customers -= vacant_seats
				else:
					on_board += arrived_customers
					arrived_customers = 0
				waiting_customers += arrived_customers
			if boardingCost * on_board - step * runningCost > profit:
				steps = step
				profit = boardingCost * on_board - step * runningCost
			step += 1
			try:
				arrived_customers = customers[step - 1]
			except IndexError:
				arrived_customers = -1
		if profit <= 0:
			return -1
		return steps


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q = 0
		profit = 0
		best_profit = 0
		rotation = 0
		customers_served = 0
		min_rotation = -1
		i = 0
		while q or i < len(customers):
			rotation += 1
			if i < len(customers):
				q += customers[i]
				i += 1
			if q > 0:
				customers_served += min(q, 4)
				profit = customers_served * boardingCost - rotation * runningCost
				q = max(0, q - 4)
				if profit > best_profit:
					min_rotation = rotation
					best_profit = profit
		return min_rotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		p1 = 4 * boardingCost - runningCost
		n = 0
		pn = 0
		res = [0, 0]
		w = 0
		if p1 <= 0:
			return -1
		for c in customers:
			if w + c >= 4:
				n += 1
				pn += p1
				w += c - 4
				res = self.comp(res, pn, n)
			else:
				pn += (w + c) * boardingCost - runningCost
				n += 1
				res = self.comp(res, pn, n)
				w = 0
		n += w // 4
		pn += w // 4 * p1
		ps = w % 4 * boardingCost - runningCost
		if ps > 0:
			pn += ps
			n += 1
		res = self.comp(res, pn, n)
		return res[1]

	def comp(self, res, pn, n):
		if res[0] < pn:
			res = [pn, n]
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = []
		boarded = 0
		waiting = 0
		i = 0
		while waiting != 0 or i < len(customers):
			if i < len(customers):
				waiting = waiting + customers[i]
			boarded = boarded + min(4, waiting)
			waiting = waiting - min(4, waiting)
			profit = boardingCost * boarded - (i + 1) * runningCost
			profits.append(profit)
			i = i + 1
		if max(profits) > 0:
			return profits.index(max(profits)) + 1
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = []
		profit = 0
		prev = 0
		i = 0
		while i < len(customers):
			curr = customers[i] + prev
			if curr <= 4:
				profit += curr * boardingCost - runningCost
				profits.append(profit)
				prev = 0
			else:
				prev = curr - 4
				profit += 4 * boardingCost - runningCost
				profits.append(profit)
			i += 1
			if i == len(customers) and prev != 0:
				i -= 1
				customers[i] = 0
		if max(profits) < 0:
			return -1
		m = 0
		ind = 0
		for i in range(len(profits)):
			if profits[i] > m:
				m = profits[i]
				ind = i
		return ind + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost < runningCost:
			return -1
		curr_profit = max_profit = 0
		ans = 0
		running_round = 0
		queue = collections.deque([])
		max_queue = 0
		for customer in customers:
			if not queue and sum(queue) + customer < 4:
				queue.append(customer)
				continue
			if queue and queue[-1] < 4:
				index = len(queue) - 1
				while index >= 0:
					if queue[index] == 4:
						fill = min(4 - queue[-1], customer)
						queue[-1] += fill
						customer -= fill
						break
					index -= 1
			while customer >= 4:
				queue.append(4)
				customer -= 4
			if customer > 0:
				queue.append(customer)
		while queue:
			running_round += 1
			curr = queue.popleft()
			curr_profit += curr * boardingCost - runningCost
			if curr_profit > max_profit:
				ans = running_round
			max_profit = max(curr_profit, max_profit)
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		curr_arrive_idx = 0
		curr_wait = customers[0]
		curr_profit = []
		while curr_wait > 0 or curr_arrive_idx < len(customers):
			if curr_wait > 4:
				curr_wait -= 4
				onboard = 4
			else:
				onboard = curr_wait
				curr_wait = 0
			if len(curr_profit) == 0:
				curr_profit.append(onboard * boardingCost - runningCost)
			else:
				curr_profit.append(curr_profit[-1] + (onboard * boardingCost - runningCost))
			curr_arrive_idx += 1
			if curr_arrive_idx < len(customers):
				curr_wait += customers[curr_arrive_idx]
		max_profit = 0
		optimal_rotation = 0
		for (idx, profit) in enumerate(curr_profit):
			if profit > max_profit:
				max_profit = profit
				optimal_rotation = idx + 1
		if max_profit <= 0:
			return -1
		return optimal_rotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		currentProfit = 0
		highestProfitSoFar = 0
		maxProfit = 0
		stoppedForMaxProft = 0
		timesStopped = 1
		currentWaiting = 0
		totalBoarded = 0
		i = 0
		while i < len(customers) or currentWaiting > 0:
			if i < len(customers):
				currentWaiting += customers[i]
			totalBoarded += min(4, currentWaiting)
			currentProfit = totalBoarded * boardingCost - timesStopped * runningCost
			currentWaiting -= min(4, currentWaiting)
			if currentProfit > highestProfitSoFar:
				highestProfitSoFar = currentProfit
				stoppedForMaxProft = timesStopped
			timesStopped += 1
			i += 1
		if stoppedForMaxProft == 0:
			return -1
		return stoppedForMaxProft


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		left = 0
		required = 0
		for cus in customers:
			required += 1
			left += cus
			left -= min(left, 4)
		maxRot = required + ceil(left / 4)
		m_ = {0: -1}
		rotCnt = 0
		c = 0
		profit = 0
		while rotCnt < maxRot:
			if rotCnt < len(customers):
				c += customers[rotCnt]
			roundP = min(c, 4) * boardingCost
			c -= min(c, 4)
			roundP -= runningCost
			profit += roundP
			if profit not in m_:
				m_[profit] = rotCnt + 1
			rotCnt += 1
		maxP = max(m_.keys())
		return m_[maxP]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(cust, p, max_p) = (0, (0, 0), (float('-inf'), 0))
		idx = 0
		while idx < len(customers) or cust > 0:
			if idx < len(customers):
				cust += customers[idx]
				idx += 1
			p = (p[0] + min(4, cust) * boardingCost - runningCost, p[1] + 1)
			cust -= min(4, cust)
			if p[0] > max_p[0]:
				max_p = p
		return -1 if max_p[0] <= 0 else max_p[1]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxi = -1
		n = len(customers)
		count = 0
		spin = -1
		ride = 0
		for i in range(n):
			count += customers[i]
			ride += min(4, count)
			pro = ride * boardingCost - (i + 1) * runningCost
			if pro > maxi:
				maxi = pro
				spin = i + 1
			count -= min(4, count)
		s = n
		while count > 0:
			ride += min(4, count)
			s += 1
			pro = ride * boardingCost - (s + 1) * runningCost
			if pro > maxi:
				maxi = pro
				spin = s
			count -= min(4, count)
		return spin
		return spin


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cost = 0
		waiting = 0
		rotations = 0
		profits = []
		for x in range(len(customers)):
			waiting += customers[x]
			if waiting > 0:
				board = min(4, waiting)
				waiting -= board
				cost += board * boardingCost
			cost -= runningCost
			rotations += 1
			profits.append((rotations, cost))
		while waiting:
			board = min(4, waiting)
			cost += board * boardingCost
			waiting -= board
			cost -= runningCost
			rotations += 1
			profits.append((rotations, cost))
		p_ans = float('-inf')
		r_ans = None
		for p in profits:
			if p[1] > p_ans:
				p_ans = p[1]
				r_ans = p[0]
		return r_ans if p_ans > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if sum(customers) == 0 or boardingCost * 4 <= runningCost:
			return -1
		no_loss = int(runningCost / boardingCost)
		money = []
		i = 0
		current_customer = 0
		while i < len(customers) or current_customer > 0:
			if i < len(customers):
				current_customer += customers[i]
			people = min(current_customer, 4)
			current_customer -= people
			money.append(boardingCost * people - runningCost)
			i = i + 1
		res = []
		ok = 0
		for i in range(len(money)):
			ok += money[i]
			res.append(ok)
		return res.index(max(res)) + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		maxProfit = 0
		waitingCustomers = 0
		profit = 0
		turns = 0
		bestTurns = 0
		i = 0
		print(len(customers))
		while waitingCustomers > 0 or i < len(customers):
			if i < len(customers):
				count = customers[i]
				i += 1
			else:
				count = 0
			waitingCustomers += count
			if i == len(customers) and waitingCustomers >= 4:
				rounds = waitingCustomers // 4
				waitingCustomers %= 4
				profit += 4 * rounds * boardingCost
				profit -= rounds * runningCost
				turns += rounds
			else:
				customer = min(waitingCustomers, 4)
				waitingCustomers -= customer
				profit += customer * boardingCost - runningCost
				turns += 1
			if profit > maxProfit:
				maxProfit = profit
				bestTurns = turns
		if maxProfit <= 0:
			return -1
		return bestTurns


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		arr = []
		remain = 0
		for customer in customers:
			remain += customer
			(remain, cust) = (max(0, remain - 4), min(remain, 4))
			arr.append(cust)
		while remain > 0:
			arr.append(min(4, remain))
			remain -= 4
		pro = 0
		res = 0
		for cust in arr[::-1]:
			pro += cust * boardingCost
			pro -= runningCost
			res += 1
			if pro <= 0:
				res = 0
			pro = max(pro, 0)
		return res if res else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= 4 * boardingCost:
			return -1
		ans = -math.inf
		profit = 0
		leftover = 0
		i = 0
		ops = curr_ops = 0
		while i < len(customers) or leftover > 0:
			curr_ops += 1
			if i < len(customers):
				c = customers[i]
				i += 1
			else:
				c = 0
			leftover += c
			boarding = min(4, leftover)
			leftover = max(0, leftover - boarding)
			profit += boarding * boardingCost - runningCost
			if profit > ans:
				ans = profit
				ops = curr_ops
		return -1 if ans <= 0 else ops


from typing import List

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ls = []
		waiting = 0
		curr = 0
		days = 0
		max_profit = -1
		max_days = 0
		while days < len(customers) or waiting > 0:
			if days < len(customers):
				waiting += customers[days]
			on_board = min(waiting, 4)
			waiting = max(waiting - 4, 0)
			curr += on_board
			profit = curr * boardingCost - (days + 1) * runningCost
			if max_profit < profit:
				max_days = days + 1
				max_profit = profit
			days += 1
		if max_profit < 0:
			return -1
		else:
			return max_days


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rotate = 0
		ans = -1
		maxProfit = 0
		profit = 0
		remaining = 0
		i = 0
		while i < len(customers) or remaining:
			if i < len(customers):
				remaining += customers[i]
				i += 1
			boarding = min(remaining, 4)
			remaining -= boarding
			rotate += 1
			profit += boarding * boardingCost - runningCost
			if profit > maxProfit:
				maxProfit = profit
				ans = rotate
		return ans


class Solution:

	def minOperationsMaxProfit(self, A: List[int], profit: int, loss: int, wait=0, total=0, best=0, bestIndex=-1) -> int:
		i = 1

		def rotate():
			nonlocal i, wait, total, best, bestIndex
			take = min(wait, 4)
			total += take
			wait -= take
			cand = total * profit - i * loss
			if best < cand:
				best = cand
				bestIndex = i
			i += 1
		for x in A:
			wait += x
			rotate()
		while wait:
			rotate()
		return bestIndex


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		profit = 0
		pre_max = 0
		wait = 0
		ans = 0
		i = 0
		for c in customers:
			wait += c
			if wait > 0:
				profit += boardingCost * min(wait, 4) - runningCost
				if profit > pre_max:
					ans = i + 1
				wait -= min(wait, 4)
			i += 1
			pre_max = max(pre_max, profit)
		while wait > 0:
			profit += boardingCost * min(wait, 4) - runningCost
			if profit > pre_max:
				ans = i + 1
			wait -= min(wait, 4)
			i += 1
			pre_max = max(pre_max, profit)
		if pre_max <= 0:
			return -1
		else:
			return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = 0
		anst = -1
		waiting = 0
		done = 0
		times = 0
		i = -1
		while waiting > 0 or i < len(customers):
			i += 1
			if i < len(customers):
				c = customers[i]
			else:
				c = 0
			times += 1
			waiting += c
			done += min(4, waiting)
			waiting -= min(4, waiting)
			tans = done * boardingCost - times * runningCost
			if tans > ans:
				ans = tans
				anst = times
		return anst


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(self.wait, self.count, self.ans, self.total, self.max_profit) = (0, 0, 0, 0, 0)

		def helper(num):
			temp = self.wait + num
			if temp >= 4:
				board = 4
				temp -= 4
			else:
				board = temp
				temp = 0
			self.wait = temp
			self.count += 1
			self.total += board * boardingCost - runningCost
			if self.total > self.max_profit:
				self.max_profit = self.total
				self.ans = self.count
		for num in customers:
			helper(num)
		while self.wait > 0:
			helper(0)
		return self.ans if self.ans != 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if 4 * boardingCost <= runningCost:
			return -1
		(s, r, maxr, maxn) = (0, 0, 0, -1)
		for (i, c) in enumerate(customers):
			s += c
			b = min(s, 4)
			r += b * boardingCost - runningCost
			s -= b
			if r > maxr:
				(maxr, maxn) = (r, i + 1)
		r += 4 * (s // 4) * boardingCost - s // 4 * runningCost
		if r > maxr:
			(maxr, maxn) = (r, len(customers) + s // 4)
		if s % 4 > 0:
			r += s % 4 * boardingCost - runningCost
			if r > maxr:
				(maxr, maxn) = (r, len(customers) + s // 4 + 1)
		return maxn


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		onBoard = []
		profit = 0
		maxProfit = 0
		ans = 0
		for (i, customer) in enumerate(customers):
			waiting += customer
			if waiting >= 4:
				profit += 4 * boardingCost - runningCost
				waiting -= 4
				onBoard.append(4)
			else:
				profit += waiting * boardingCost - runningCost
				onBoard.append(waiting)
				waiting = 0
			freeRound = 3
			j = 1
			while j <= min(i, 3) and onBoard[-j] == 0:
				j += 1
				freeRound -= 1
			stopNowProfit = profit - freeRound * runningCost
			if stopNowProfit > maxProfit:
				maxProfit = stopNowProfit
				ans = i + 1
		while waiting > 0:
			i += 1
			if waiting >= 4:
				profit += 4 * boardingCost - runningCost
				waiting -= 4
				onBoard.append(4)
			else:
				profit += waiting * boardingCost - runningCost
				onBoard.append(waiting)
				waiting = 0
			freeRound = 3
			j = 1
			while j <= min(i, 3) and onBoard[-j] == 0:
				j += 1
				freeRound -= 1
			stopNowProfit = profit - freeRound * runningCost
			if stopNowProfit > maxProfit:
				maxProfit = stopNowProfit
				ans = i + 1
		if ans == 0:
			return -1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		netProfit = 0
		maxNet = 0
		waitSize = 0
		nRot = 0
		optRot = -1
		for customerSize in customers:
			waitSize += customerSize
			gondSize = min(4, waitSize)
			waitSize = max(0, waitSize - 4)
			netProfit += boardingCost * gondSize - runningCost
			nRot += 1
			if netProfit > maxNet:
				maxNet = netProfit
				optRot = nRot
		while waitSize > 0:
			gondSize = min(4, waitSize)
			waitSize = max(0, waitSize - 4)
			netProfit += boardingCost * gondSize - runningCost
			nRot += 1
			if netProfit > maxNet:
				maxNet = netProfit
				optRot = nRot
		return optRot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], bc: int, rc: int) -> int:
		if 4 * bc <= rc:
			return -1
		ans = -1
		p = 0
		pre = 0
		i = 0
		r = 1
		while i < len(customers):
			slot = 0
			while slot < 4 and i < r and (i < len(customers)):
				if customers[i] <= 4 - slot:
					slot += customers[i]
					i += 1
				else:
					customers[i] -= 4 - slot
					slot = 4
			pre += slot
			v = pre * bc - r * rc
			if p < v:
				ans = r
				p = v
			r += 1
		return ans


import math

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		x = sum(customers)
		a = []
		r = 0
		p = 0
		for i in range(len(customers)):
			if r >= i:
				p += customers[i]
				a.append(min(4, p))
				if p >= 4:
					p -= 4
				else:
					p -= customers[i]
			else:
				a.append(0)
			r += 1
		while p > 0:
			a.append(min(4, p))
			p -= 4
		rotations = len(a)
		loss = []
		for i in range(1, rotations + 1):
			loss.append(runningCost * i)
		for i in range(1, len(a)):
			a[i] = a[i - 1] + a[i]
		res = -1
		index = -2
		print((len(loss), rotations, len(a)))
		for i in range(rotations):
			if res < a[i] * boardingCost - loss[i]:
				res = a[i] * boardingCost - loss[i]
				index = i
		return index + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		minOp = currCustomers = profit = maxProfit = i = totalCustomers = 0
		while i < len(customers) or currCustomers > 0:
			i += 1
			currCustomers += 0 if i > len(customers) else customers[i - 1]
			totalCustomers += min(4, currCustomers)
			profit = boardingCost * totalCustomers - (i + 1) * runningCost
			currCustomers -= min(4, currCustomers)
			if profit > maxProfit:
				maxProfit = profit
				minOp = i
		return minOp if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		gon = [0, 0, 0, 0]
		i = 0
		profit = 0
		(max_profit, idx) = (-math.inf, 0)
		waiting = 0
		k = 0
		while waiting > 0 or k < len(customers):
			gon[i] = 0
			if k < len(customers):
				waiting += customers[k]
			gon[i] = min(4, waiting)
			waiting -= gon[i]
			profit += gon[i] * boardingCost - runningCost
			if profit > max_profit:
				(max_profit, idx) = (profit, k + 1)
			i = (i + 1) % 4
			k += 1
		return idx if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(profit, waiting) = (0, 0)
		(max_profit, max_profit_rotations) = (0, 0)
		for (i, ppl) in enumerate(customers):
			waiting += ppl
			if waiting > 0:
				entry = min(4, waiting)
				profit += boardingCost * entry - runningCost
				waiting -= entry
				if profit > max_profit:
					max_profit = profit
					max_profit_rotations = i + 1
		while waiting > 0:
			i += 1
			entry = min(4, waiting)
			profit += boardingCost * entry - runningCost
			waiting -= entry
			if profit > max_profit:
				max_profit = profit
				max_profit_rotations = i + 1
		return max_profit_rotations if max_profit_rotations > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = customers[0]
		idx = 1
		current_profit = 0
		max_profit = -1
		rotated = 0
		max_rotated = -1
		while waiting > 0 or idx < len(customers):
			rotated += 1
			can_board = min(4, waiting)
			current_profit += can_board * boardingCost - runningCost
			if current_profit > max_profit:
				max_profit = max(current_profit, max_profit)
				max_rotated = rotated
			waiting -= can_board
			if idx < len(customers):
				waiting += customers[idx]
				idx += 1
		return max_rotated


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		curr = 0
		waiting = 0
		ans = 0
		i = 0
		mI = -1
		m = 0
		while i < len(customers) or waiting:
			waiting += customers[i] if i < len(customers) else 0
			curr += min(waiting, 4)
			waiting -= min(waiting, 4)
			ans = curr * boardingCost - (i + 1) * runningCost
			i += 1
			if ans > m:
				mI = i
				m = ans
		return mI


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		customers_left = 0
		boarding_customers = 0
		i = 0
		max_round = 0
		while customers_left > 0 or i < len(customers):
			this_round = customers[i] if i < len(customers) else 0
			this_round += customers_left
			customers_left = 0
			if this_round > 4:
				customers_left = this_round - 4
				this_round = 4
			if (this_round + boarding_customers) * boardingCost - runningCost * (i + 1) > max_profit:
				max_profit = (this_round + boarding_customers) * boardingCost - runningCost * (i + 1)
				max_round = i + 1
			boarding_customers += this_round
			i += 1
		return max_round if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = []
		wheel = [0, 0, 0, 0]
		wait = customers[0]
		t = 0
		maxt = len(customers)
		curProfit = 0
		while wait + sum(wheel) or t < maxt:
			if wait >= 4:
				wheel = [3, 3, 3, 3]
				wait -= 4
				curProfit += 4 * boardingCost
			elif wait == 3:
				wheel = [3, 3, 3, max(0, wheel[3] - 1)]
				wait = 0
				curProfit += 3 * boardingCost
			elif wait == 2:
				wheel = [3, 3, max(0, wheel[2] - 1), max(0, wheel[3] - 1)]
				wait = 0
				curProfit += 2 * boardingCost
			elif wait == 1:
				wheel = [3, max(0, wheel[1] - 1), max(0, wheel[2] - 1), max(0, wheel[3] - 1)]
				wait = 0
				curProfit += 1 * boardingCost
			elif wait == 0:
				wheel = [max(0, wheel[0] - 1), max(0, wheel[1] - 1), max(0, wheel[2] - 1), max(0, wheel[3] - 1)]
				wait = 0
			curProfit -= runningCost
			t += 1
			if t < maxt:
				wait += customers[t]
			profit.append(curProfit)
		res = -1
		maxprofit = 0
		for i in range(len(profit)):
			if profit[i] > maxprofit:
				res = i + 1
				maxprofit = profit[i]
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = (0, -1)
		board = 0
		for i in range(len(customers) - 1):
			curadd = min(4, customers[i])
			board += curadd
			bc = board * boardingCost
			rc = (i + 1) * runningCost
			curpr = bc - rc
			if curpr > ans[0]:
				ans = (curpr, i + 1)
			diff = max(customers[i] - curadd, 0)
			if diff > 0:
				customers[i + 1] += diff
		remaining = customers[-1]
		i = len(customers)
		while remaining > 0:
			board += min(4, remaining)
			bc = board * boardingCost
			rc = i * runningCost
			curpr = bc - rc
			if curpr > ans[0]:
				ans = (curpr, i)
			remaining = max(remaining - 4, 0)
			i += 1
		return ans[1] if ans[0] > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:

		def oneRound(waiting, max_prof, max_prof_ind, curr_prof, ind, arr):
			waiting += arr
			on_cart = waiting if waiting < 4 else 4
			waiting -= on_cart
			curr_prof = curr_prof + on_cart * boardingCost - runningCost
			if curr_prof > max_prof:
				max_prof = curr_prof
				max_prof_ind = ind + 1
			return (waiting, max_prof, max_prof_ind, curr_prof)
		waiting = 0
		max_prof = 0
		max_prof_ind = -1
		curr_prof = 0
		for (ind, arr) in enumerate(customers):
			(waiting, max_prof, max_prof_ind, curr_prof) = oneRound(waiting, max_prof, max_prof_ind, curr_prof, ind, arr)
		while waiting > 0:
			ind += 1
			arr = 0
			(waiting, max_prof, max_prof_ind, curr_prof) = oneRound(waiting, max_prof, max_prof_ind, curr_prof, ind, arr)
		return max_prof_ind


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		ans = 0
		profit = 0
		(ta, tp) = (0, 0)
		i = 0
		while wait or i < len(customers):
			c = 0 if i >= len(customers) else customers[i]
			wait += c
			profit += min(4, wait) * boardingCost - runningCost
			ans += 1
			wait = max(0, wait - 4)
			if profit > tp:
				ta = ans
				tp = profit
			i += 1
		ans = ta
		profit += min(4, wait) * boardingCost - runningCost
		if profit > tp:
			ans += 1
		return -1 if ans == 0 else ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		pending = 0
		custom = 0
		cur = 0
		res = -1
		i = 0
		while pending or i < n:
			temp = pending + (customers[i] if i < n else 0)
			custom += min(temp, 4)
			profit = custom * boardingCost - (i + 1) * runningCost
			if profit > cur:
				cur = profit
				res = i + 1
			pending = max(0, temp - min(temp, 4))
			i += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wait = 0
		ans = -1
		max_profit = 0
		tb = 0
		total_rotate = max(len(customers), sum(customers) // 4 + 1)
		for i in range(total_rotate):
			if i < len(customers):
				total = wait + customers[i]
			else:
				total = wait
			board = min(4, total)
			tb += board
			wait = max(0, total - board)
			profit = tb * boardingCost - (i + 1) * runningCost
			if profit > max_profit:
				max_profit = profit
				ans = i + 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost > 4 * boardingCost:
			return -1
		maxp = -1
		maxd = 0
		day = 0
		profit = 0
		remaining = 0
		for c in customers:
			to_board = min(4, c + remaining)
			remaining = max(remaining - to_board + c, 0)
			day += 1
			profit = profit + to_board * boardingCost - runningCost
			if profit >= maxp:
				maxd = day
				maxp = profit
		while to_board:
			to_board = min(4, remaining)
			remaining = max(remaining - to_board, 0)
			day += 1
			profit = profit + to_board * boardingCost - runningCost
			if profit > maxp:
				maxd = day
				maxp = profit
		return maxd


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], board: int, run: int) -> int:
		max_prof = -float('inf')
		profit = 0
		ci = 0
		it = 0
		waiting = 0
		res = 0
		while waiting > 0 or ci < len(customers):
			if ci < len(customers):
				waiting += customers[ci]
			profit += min(4, waiting) * board
			profit -= run
			if profit > max_prof:
				max_prof = profit
				res = it
			waiting = max(waiting - 4, 0)
			ci += 1
			it += 1
		return res + 1 if max_prof > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], b_cost: int, r_cost: int) -> int:
		A = customers
		profit = 0
		times = 0
		cotinues_0 = 0
		waiting = 0
		max_profit = 0
		best_times = 0
		out = []
		pass_customer = 0
		for cur in A:
			waiting += cur
			cotinues_0 = 0
			if waiting >= 4:
				pass_customer += 4
				waiting -= 4
				profit += 4 * b_cost - r_cost
			else:
				pass_customer += waiting
				profit += waiting * b_cost - r_cost
				waiting = 0
			times += 1
			if max_profit < profit:
				best_times = times
				max_profit = profit
		remain = waiting // 4
		profit += 4 * b_cost - r_cost
		times += remain
		if waiting % 4 != 0:
			if waiting % 4 * b_cost - r_cost > 0:
				times += 1
				profit += waiting % 4 * b_cost - r_cost
		if max_profit < profit:
			out.insert(0, (max_profit, times))
			best_times = times
			max_profit = profit
		return best_times if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		onboard = rotates = 0
		waiting = 0
		profit = 0
		rotates = 0
		while rotates < len(customers) or waiting > 0:
			if rotates < len(customers):
				waiting += customers[rotates]
			if waiting > 0:
				onboard += min(4, waiting)
				waiting -= min(4, waiting)
			rotates += 1
			p = onboard * boardingCost - runningCost * rotates
			if p > profit:
				profit = p
				ans = rotates
		return ans if profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		numWaiting = 0
		totalOnboard = 0
		totalRunningCost = 0
		maxProfit = 0
		ans = 0
		i = 0
		while numWaiting > 0 or i < len(customers):
			numWaiting += customers[i] if i < len(customers) else 0
			t = min(4, numWaiting)
			totalOnboard += t
			numWaiting -= t
			totalRunningCost += runningCost
			curProfit = totalOnboard * boardingCost - totalRunningCost
			if curProfit > maxProfit:
				ans = i + 1
				maxProfit = curProfit
			i += 1
		return ans if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		maxProfitCount = 0
		profit = -1
		wait = 0
		board = 0
		remaining = 0
		rotate = 0
		for (index, number) in enumerate(customers):
			remaining += number
			if index <= rotate:
				cur = min(remaining, 4)
				board += cur
				rotate += 1
				curProfit = board * boardingCost - rotate * runningCost
				if curProfit > profit:
					profit = curProfit
					maxProfitCount = rotate
				remaining -= cur
				number -= cur
		while remaining > 0:
			cur = min(remaining, 4)
			board += cur
			rotate += 1
			curProfit = board * boardingCost - rotate * runningCost
			if curProfit > profit:
				profit = curProfit
				maxProfitCount = rotate
			remaining -= cur
		if profit != -1:
			return maxProfitCount
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		n = len(customers)
		prev = 0
		nb = 0
		tw = sum(customers)
		nw = 0
		ans = 0
		total = 0
		i = 0
		res = -1
		while i < n or nw != 0:
			if i >= n:
				nb = nw
			else:
				nb = nw + customers[i]
			if nb >= 4:
				nw = nb - 4
				nb = 4
			else:
				nw = 0
			total += nb
			if total * boardingCost - (i + 1) * runningCost > ans:
				res = i + 1
			ans = max(total * boardingCost - (i + 1) * runningCost, ans)
			i += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, a: List[int], bc: int, rc: int) -> int:
		(ans, cnt) = (0, 0)
		w = 0
		m = []
		for x in a:
			x = x + w
			ans += min(x, 4) * bc - rc
			cnt += 1
			m.append((ans, cnt))
			w = max(x - 4, 0)
		while w > 0:
			ans += min(w, 4) * bc - rc
			cnt += 1
			m.append((ans, cnt))
			w = max(w - 4, 0)
		res = max(m, key=lambda x: (x[0], -x[1]))
		return res[1] if res[0] > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		restCustomers = 0
		ans = 0
		curRote = 0
		cur = 0
		customerIndex = 0
		while customerIndex < len(customers):
			restCustomers += customers[customerIndex]
			curRote += 1
			if cur < cur + boardingCost * min(restCustomers, 4) - runningCost:
				ans = curRote
			cur += boardingCost * min(restCustomers, 4) - runningCost
			restCustomers = max(restCustomers - 4, 0)
			customerIndex += 1
			while restCustomers >= 4:
				curRote += 1
				if cur < cur + boardingCost * min(restCustomers, 4) - runningCost:
					ans = curRote
				cur += boardingCost * 4 - runningCost
				restCustomers = max(restCustomers - 4, 0)
				if customerIndex < len(customers):
					restCustomers += customers[customerIndex]
				customerIndex += 1
		if cur < cur + boardingCost * restCustomers - runningCost:
			ans += 1
		if ans == 0:
			return -1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], bc: int, rc: int) -> int:
		profit = 0
		r = 0
		cnt = 0
		max_prof = 0
		ans = -1
		for c in customers:
			r += c
			cnt += 1
			profit += min(4, r) * bc - rc
			if profit > max_prof:
				ans = cnt
				max_prof = profit
			r = max(0, r - 4)
		times = int(r / 4)
		cnt += times
		profit += r * bc - times * rc
		if profit > max_prof:
			max_prof = profit
			ans = cnt
		if r % 4 > 0:
			profit += r % 4 * bc - rc
			cnt += 1
			if profit > max_prof:
				max_prof = profit
				ans = cnt
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rotation = 0
		wait = profit = 0
		n = len(customers)
		gondola = [0] * 4
		(maxProfit, maxRotation) = (-1, -2)
		while rotation < n or wait:
			if rotation < n:
				wait += customers[rotation]
			m = min(4, wait)
			wait = max(wait - m, 0)
			gondola[rotation % 4] = m
			profit += boardingCost * m - runningCost
			if profit > maxProfit:
				(maxProfit, maxRotation) = (profit, rotation)
			rotation += 1
		return maxRotation + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rotations = 0
		profit = 0
		waiting = 0
		maxProfit = -1
		maxRotation = -1
		i = 0
		while i < len(customers) or waiting > 0:
			net = 0 - runningCost
			if i < len(customers):
				waiting += customers[i]
			if waiting > 0:
				boarding = min(4, waiting)
				waiting -= boarding
				net += boardingCost * boarding
			profit += net
			if profit > maxProfit:
				maxProfit = profit
				maxRotation = i + 1
			i += 1
		return maxRotation


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(r, maxProfit, accProfit, accCustomers) = (-1, 0, 0, 0)
		i = 0
		while True:
			curr = 0
			if i < len(customers):
				curr = customers[i]
			accProfit += min(curr + accCustomers, 4) * boardingCost - runningCost
			accCustomers = max(curr + accCustomers - 4, 0)
			if accProfit > maxProfit:
				r = i + 1
				maxProfit = accProfit
			i += 1
			if i >= len(customers) and accCustomers <= 0:
				break
		return r


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		profit = []
		count = 0
		curr_profit = -1
		idx = 0
		total_people = 0
		res = -1
		while True:
			res = max(curr_profit, res)
			profit.append(curr_profit)
			if waiting <= 0 and idx > len(customers) - 1:
				break
			if idx > len(customers) - 1:
				people = 0
			else:
				people = customers[idx]
				idx += 1
			if waiting + people > 4:
				waiting = waiting + people - 4
				total_people += 4
			else:
				total_people += waiting + people
				if waiting > 0:
					waiting -= waiting + people
			curr_profit = total_people * boardingCost - (count + 1) * runningCost
			count += 1
		if res < 0:
			return res
		else:
			for (i, p) in enumerate(profit):
				if p == res:
					return i


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = [0]
		remain = customers[0]
		idx = 1
		profit = 0
		current = 0
		while idx < len(customers) or remain != 0:
			up = min(4, remain)
			profit += up * boardingCost - runningCost
			if idx < len(customers):
				remain += customers[idx]
			remain -= up
			idx += 1
			ans.append(profit)
		ret = max(ans)
		return -1 if ret <= 0 else ans.index(ret)


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = 0
		user = 0
		profit = 0
		ind = 0
		i = 0
		while ind < len(customers) or user > 0:
			if ind < len(customers):
				x = customers[ind]
				user += x
			ind += 1
			profit += min(user, 4) * boardingCost - runningCost
			if res < profit:
				res = profit
				i = ind
			user -= min(user, 4)
		return i if res > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		d = {}
		p = 0
		i = 0
		m = sum(customers) // 4 + 1
		z = customers.count(0)
		for i in range(m + z):
			if customers[i] > 4:
				customers += (0,)
			p += boardingCost * min(customers[i], 4) - runningCost
			if p not in list(d.keys()):
				d[p] = i
			customers[i + 1] += max(customers[i] - 4, 0)
		if max(d) < 0:
			return -1
		return d[max(d)] + 1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		posRotate = 0
		posProfit = 0
		rotate = 0
		profit = 0
		waiting = 0
		for item in customers:
			waiting += item
			if waiting > 4:
				waiting -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += waiting * boardingCost - runningCost
				waiting = 0
			rotate += 1
			if profit > 0:
				posRotate = profit
				posRotate = rotate
		noRotate = waiting // 4
		remaining = waiting % 4
		rotate += noRotate
		profit += 4 * boardingCost * noRotate - noRotate * runningCost
		if profit > 0:
			posRotate = rotate
			posProfit = profit
		if remaining * boardingCost > runningCost:
			posRotate += 1
			posProfit += remaining * boardingCost - runningCost
		if posProfit <= 0:
			return -1
		return posRotate


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting = 0
		pmax = 0
		pmax_ind = -1
		pcurr = 0
		for (i, c) in enumerate(customers):
			waiting += c
			spots = 4
			while waiting > 0 and spots > 0:
				waiting -= 1
				spots -= 1
				pcurr += boardingCost
			pcurr -= runningCost
			if pcurr > pmax:
				pmax = pcurr
				pmax_ind = i
		j = 0
		while waiting > 0:
			spots = 4
			j += 1
			while waiting > 0 and spots > 0:
				waiting -= 1
				spots -= 1
				pcurr += boardingCost
			pcurr -= runningCost
			if pcurr > pmax:
				pmax = pcurr
				pmax_ind += j
				j = 0
		return pmax_ind + 1 if pmax_ind != -1 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_board = 0
		waiting = 0
		profit = 0
		i = 1
		maxv = float('-inf')
		res = None
		c_i = 0
		while c_i < len(customers) or waiting > 0:
			if c_i < len(customers):
				waiting += customers[c_i]
			tmp = min(waiting, 4)
			max_board += tmp
			waiting -= tmp
			profit = max_board * boardingCost - runningCost * i
			if profit > maxv:
				maxv = profit
				res = i
			i += 1
			c_i += 1
		return -1 if maxv < 0 else res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		l = []
		j = 1
		total = 0
		for i in customers:
			total += i
			if total < 4:
				profit = total * boardingCost - runningCost
				if not l:
					l.append((profit, j))
				else:
					l.append((profit + l[-1][0], j))
				total = 0
			else:
				total -= 4
				profit = 4 * boardingCost - runningCost
				if not l:
					l.append((profit, j))
				else:
					l.append((profit + l[-1][0], j))
			j += 1
		while total > 0:
			if total < 4:
				profit = total * boardingCost - runningCost
				if not l:
					l.append((profit, j))
				else:
					l.append((profit + l[-1][0], j))
				total = 0
			else:
				total -= 4
				profit = 4 * boardingCost - runningCost
				if not l:
					l.append((profit, j))
				else:
					l.append((profit + l[-1][0], j))
			j += 1
		res = sorted(l, key=lambda x: (-x[0], x[1]))
		return res[0][1] if res[0][0] > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur_line = 0
		cur_cus = 0
		cur_rot = 0
		profit = []
		for (i, j) in enumerate(customers):
			cur_line += j
			cur_cus += min(4, cur_line)
			cur_line = max(0, cur_line - 4)
			cur_rot += 1
			profit.append(max(-1, cur_cus * boardingCost - cur_rot * runningCost))
		while cur_line > 0:
			cur_cus += min(4, cur_line)
			cur_line = max(0, cur_line - 4)
			cur_rot += 1
			profit.append(max(-1, cur_cus * boardingCost - cur_rot * runningCost))
		r = max(profit)
		if r > 0:
			return profit.index(r) + 1
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		it = -1
		max_p = 0
		p = 0
		i = 0
		t = 0
		while i < len(customers) - 1 or customers[-1] > 0:
			cb = min(customers[i], 4)
			if i != len(customers) - 1:
				customers[i + 1] += customers[i] - cb
				i += 1
			else:
				customers[i] -= cb
			p += cb * boardingCost - runningCost
			t += 1
			if p > max_p:
				max_p = p
				it = t
		return it


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= boardingCost * 4:
			return -1
		max_p = 0
		max_idx = 0
		cur_p = 0
		turn = 0
		wait = 0
		for c in customers:
			c += wait
			cur_p += boardingCost * max(4, c) - runningCost
			turn += 1
			if cur_p > max_p:
				max_idx = turn
				max_p = cur_p
			wait = c - min(c, 4)
		if wait == 0:
			return max_idx
		print((turn, wait))
		cur_p += boardingCost * (wait - wait % 4) - int(wait / 4) * runningCost
		if cur_p > max_p:
			max_p = cur_p
			max_idx = turn + int(wait / 4)
		cur_p += wait % 4 * boardingCost - runningCost
		if cur_p > max_p:
			max_idx = turn + int(wait / 4) + 1
		return max_idx


class Solution:

	def minOperationsMaxProfit(self, customers, boardingCost: int, runningCost: int) -> int:
		(rt, rp) = (-1, 0)
		N = len(customers)
		(i, wpp, tpp) = (0, 0, 0)
		time = 1
		while i < N or wpp > 0:
			if i < N:
				wpp += customers[i]
				i += 1
			tpp += min(4, wpp)
			wpp -= 4
			wpp = max(wpp, 0)
			tmp = tpp * boardingCost - time * runningCost
			if tmp > rp:
				rp = tmp
				rt = time
			time += 1
		return rt


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		import math
		n = len(customers)
		s_ = sum(customers)
		last = 0
		profit = 0
		ans = []
		wait = 0
		times = 0
		for i in range(n):
			if wait + customers[i] > 4:
				profit += 4 * boardingCost - runningCost
				wait = wait + customers[i] - 4
			else:
				profit += (wait + customers[i]) * boardingCost - runningCost
				wait = 0
			times += 1
			ans += [(times, profit)]
		while wait:
			if wait > 4:
				profit += 4 * boardingCost - runningCost
				wait -= 4
			else:
				profit += wait * boardingCost - runningCost
				wait = 0
			times += 1
			ans += [(times, profit)]
		ans.sort(key=lambda x: (x[1], -x[0]))
		ans_t = ans[-1][0]
		ans_p = ans[-1][1]
		return ans_t if ans_p > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = -1
		maxProf = 0
		profit = wait = ground = 0
		on = [0, 0, 0, 0]
		index = 0
		while index < len(customers) or wait != 0:
			c = 0 if index >= len(customers) else customers[index]
			on[ground] = min(4, c + wait)
			wait = wait + c - on[ground]
			diff = on[ground] * boardingCost - runningCost
			profit += diff
			index += 1
			if profit > maxProf:
				maxProf = profit
				ans = index
			ground = (ground + 1) % 4
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		gondola = collections.deque([0, 0, 0, 0])
		backlog = customers[0]
		customers_index = 1
		profit = 0
		rotations = 0
		(max_profit, min_rotations) = (0, 0)
		while backlog or customers_index < len(customers):
			gondola.popleft()
			gondola.append(min(backlog, 4))
			profit = profit + min(backlog, 4) * boardingCost - runningCost
			rotations += 1
			backlog = max(backlog - 4, 0)
			if profit > max_profit:
				max_profit = profit
				min_rotations = rotations
			if customers_index < len(customers):
				backlog += customers[customers_index]
				customers_index += 1
		if profit < 0:
			return -1
		else:
			return min_rotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		left = 0
		i = 0
		r = 0
		profit = 0
		max_p = float('-inf')
		ans = -1
		while i < len(customers) or left > 0:
			if i < len(customers):
				left += customers[i]
			board = min(4, left)
			left = max(0, left - 4)
			r += 1
			profit += boardingCost * board - runningCost
			if profit > 0 and profit > max_p:
				max_p = profit
				ans = r
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		self.customers = customers
		self.boardingCost = boardingCost
		self.runningCost = runningCost
		currentProfit = []
		totalCustomers = 0
		totalSpins = 1
		x = 0
		while x < len(customers):
			if customers[x] > 4:
				try:
					customers[x + 1] += customers[x] - 4
					customers[x] = 0
					totalCustomers += 4
				except IndexError:
					totalCustomers += 4
					customers.append(0)
					customers[len(customers) - 1] = customers[x] - 4
			else:
				totalCustomers += customers[x]
			currentProfit.append(totalCustomers * boardingCost - totalSpins * runningCost)
			totalSpins += 1
			x += 1
		temp_highest = -21749271
		a = 0
		y = 0
		for element in currentProfit:
			if element > temp_highest:
				temp_highest = element
				a = y
			y += 1
		if temp_highest < 0:
			return -1
		else:
			return a + 1


class Solution:

	def minOperationsMaxProfit(self, customers, boardingCost: int, runningCost: int) -> int:
		count = 0
		(ans, profit) = (-1, 0)
		max_profit = 0
		i = 0
		while i < len(customers) or count > 0:
			if i < len(customers):
				count += customers[i]
			profit += boardingCost * min(count, 4) - runningCost
			count = max(0, count - 4)
			if profit > max_profit:
				ans = i + 1
				max_profit = profit
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = -1
		max_income = 0
		cur_customer = 0
		cur_income = 0
		cnt = 0
		full_income = 4 * boardingCost - runningCost
		for c in customers:
			cur_customer += c
			if cur_customer > 4:
				cur_customer -= 4
				cur_income += full_income
			else:
				cur_income += cur_customer * boardingCost - runningCost
				cur_customer = 0
			cnt += 1
			if cur_income > max_income:
				max_income = cur_income
				res = cnt
		if full_income > 0:
			cnt += cur_customer // 4
			cur_customer %= 4
			cur_income += cnt * full_income
			if cur_income > max_income:
				max_income = cur_income
				res = cnt
			cur_income += cur_customer * boardingCost - runningCost
			if cur_income > max_income:
				max_income = cur_income
				res = cnt + 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		max_profit = float('-inf')
		n = len(customers)
		waiting = 0
		rotations = 0
		for i in range(n):
			cust = waiting + customers[i]
			profit += min(cust, 4) * boardingCost - runningCost
			if profit > max_profit:
				max_profit = profit
				rotations = i
			cust -= min(cust, 4)
			waiting = cust
		if waiting > 0:
			profit += waiting // 4 * (4 * boardingCost - runningCost)
			if profit > max_profit:
				max_profit = profit
				rotations += waiting // 4
			waiting %= 4
			profit += waiting * boardingCost - runningCost
			if profit > max_profit:
				max_profit = profit
				rotations += 1
		return rotations + 1 if max_profit >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		max_profit = 0
		min_rot = 0
		gondolas = [0, 0, 0, 0]
		i = 0
		j = 1
		n_waiting = customers[0]
		while n_waiting or j < len(customers):
			if gondolas[i] > 0:
				gondolas[i] = 0
			if n_waiting <= 4:
				gondolas[i] = n_waiting
			else:
				gondolas[i] = 4
			n_waiting -= gondolas[i]
			if j < len(customers):
				n_waiting += customers[j]
			profit += boardingCost * gondolas[i] - runningCost
			if profit > max_profit:
				min_rot = j
			max_profit = max(profit, max_profit)
			i += 1
			if i == 4:
				i = 0
			j += 1
		if max_profit:
			return min_rot
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wheel = [0, 0, 0, 0]
		profit = 0
		tracker = [-1]
		line = 0

		def rotate(wheel, profit, boardingCost, runningCost, tracker):
			profit += boardingCost * wheel[0] - runningCost
			tracker.append(profit)
			wheel = [0, wheel[0], wheel[1], wheel[2]]
			return (wheel, profit, tracker)
		i = 0
		while i < len(customers) or line > 0:
			if i < len(customers):
				line += customers[i]
			if line <= 4:
				wheel[0] = line
				line = 0
			else:
				wheel[0] = 4
				line -= 4
			(wheel, profit, tracker) = rotate(wheel, profit, boardingCost, runningCost, tracker)
			i += 1
		maxp = -1
		val = -1
		if max(tracker) <= 0:
			return -1
		else:
			return tracker.index(max(tracker))


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], bc: int, rc: int) -> int:
		maxi = 0
		ans = -1
		r = 0
		curr = 0
		temp = 0
		for c in customers:
			r += 1
			curr += c
			temp += min(curr, 4)
			curr -= min(curr, 4)
			if maxi < temp * bc - rc * r:
				maxi = temp * bc - rc * r
				ans = r
		while curr:
			r += 1
			temp += min(curr, 4)
			curr -= min(curr, 4)
			if maxi < temp * bc - rc * r:
				maxi = temp * bc - rc * r
				ans = r
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 < runningCost:
			return -1
		currVisitor = 0
		currGondolas = 0
		currProfit = 0
		currRotation = 0
		maxProf = 0
		maxProf_rot = -1
		gondolas = collections.deque()
		totPeople = 0
		for customer in customers:
			currRotation += 1
			currVisitor += customer
			if currGondolas < 4:
				gondolas.append(min(currVisitor, 4))
				currGondolas = len(gondolas)
			else:
				gondolas.pop()
				gondolas.append(min(currVisitor, 4))
			totPeople += min(currVisitor, 4)
			currVisitor -= min(currVisitor, 4)
			currProfit = boardingCost * totPeople - currRotation * runningCost
			if currProfit > maxProf:
				maxProf = currProfit
				maxProf_rot = currRotation
		while currVisitor > 0:
			currRotation += 1
			if currGondolas < 4:
				gondolas.append(min(currVisitor, 4))
				currGondolas = len(gondolas)
			else:
				gondolas.pop()
				gondolas.append(min(currVisitor, 4))
			totPeople += min(currVisitor, 4)
			currVisitor -= min(currVisitor, 4)
			currProfit = boardingCost * totPeople - currRotation * runningCost
			if currProfit > maxProf:
				maxProf = currProfit
				maxProf_rot = currRotation
		return maxProf_rot


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = -1
		profit = 0
		maxProfit = 0
		custs = 0
		i = 0
		while i < len(customers) or custs != 0:
			if i < len(customers):
				custs += customers[i]
			profit += min(custs, 4) * boardingCost - runningCost
			custs -= min(custs, 4)
			if profit > maxProfit:
				maxProfit = profit
				res = i + 1
			i += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		max_iter = 0
		cur_profit = 0
		available = 0
		i = 0
		while i < len(customers) or available > 0:
			if i < len(customers):
				available += customers[i]
			boarding = min(available, 4)
			cur_profit += boarding * boardingCost - runningCost * min(boarding, 1)
			if cur_profit > max_profit:
				max_profit = cur_profit
				max_iter = i
			available -= boarding
			i += 1
		return max_iter + 1 if max_profit != 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		a = [0, 0, 0, 0]
		profit = 0
		cur_waiting = 0
		cur_index = 0
		rotation_count = 0
		max_rotation_count = 0
		max_profit = 0
		for c in customers:
			cur_waiting += c
			rotation_count += 1
			a[cur_index] = min(4, cur_waiting)
			profit += boardingCost * min(4, cur_waiting)
			profit -= runningCost
			cur_waiting -= min(4, cur_waiting)
			cur_index += 1
			if cur_index == 4:
				cur_index = 0
			if profit > max_profit:
				max_rotation_count = rotation_count
				max_profit = profit
		while cur_waiting > 0:
			rotation_count += 1
			a[cur_index] = min(4, cur_waiting)
			profit += boardingCost * min(4, cur_waiting)
			profit -= runningCost
			cur_waiting -= min(4, cur_waiting)
			cur_index += 1
			if cur_index == 4:
				cur_index = 0
			if profit > max_profit:
				max_rotation_count = rotation_count
				max_profit = profit
		if max_profit <= 0:
			return -1
		return max_rotation_count


from collections import deque

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = [0]
		q = deque(customers)
		while len(q) > 0:
			cur = q.popleft()
			if cur > 4:
				r = cur - 4
				if len(q) > 0:
					q[0] += r
				else:
					q.append(r)
			profit = min(cur, 4) * boardingCost - runningCost
			ans.append(ans[-1] + profit)
		maxP = max(ans)
		maxTime = [i for i in range(len(ans)) if ans[i] == maxP][0]
		return -1 if maxP == 0 else maxTime


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		res = 0
		max_profit = 0
		wait_people = 0
		taken_people = 0
		rotation_times = 0
		i = 0
		while i < len(customers) or wait_people > 0:
			rotation_times += 1
			cur_people = customers[i] if i < len(customers) else 0
			can_take = min(4, wait_people + cur_people)
			taken_people += can_take
			cur_profit = taken_people * boardingCost - rotation_times * runningCost
			if cur_profit > max_profit:
				res = rotation_times
				max_profit = cur_profit
			wait_people = max(0, wait_people + cur_people - 4)
			i += 1
		return res if res > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = [0]
		person_remain = customers[0]
		i = 1
		while person_remain or i == 1:
			gondola = min(4, person_remain)
			profits.append(gondola * boardingCost - runningCost + profits[-1])
			person_remain = person_remain - gondola
			if i < len(customers):
				person_remain += customers[i]
			i += 1
		max_round = 0
		max_el = max(profits)
		if max_el <= 0:
			return -1
		for i in range(len(profits)):
			if profits[i] == max_el:
				max_round = i
				break
		return max_round


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(maxProfit, res, remain, profit, i) = (0, 0, 0, -runningCost * 3, 0)
		while i < len(customers) or remain:
			if i < len(customers):
				x = customers[i]
			else:
				x = 0
			profit += min(4, x + remain) * boardingCost - runningCost
			if profit > maxProfit:
				(maxProfit, res) = (profit, i + 1)
			remain = max(0, remain + x - 4)
			i += 1
		return res if res else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		profit = 0
		num_waiting_customers = 0
		max_profit = 0
		ans = -1
		i = 0
		while i < len(customers) or num_waiting_customers > 0:
			num_waiting_customers += customers[i] if i < len(customers) else 0
			if i < len(customers):
				num_rotate = ((len(customers) - i) * 50 + num_waiting_customers + 3) // 4
				if ((len(customers) - i) * 50 + num_waiting_customers) * boardingCost - num_rotate * runningCost + profit < 0:
					return ans
			profit += min(num_waiting_customers, 4) * boardingCost - runningCost
			if profit > max_profit:
				ans = i + 1
				max_profit = profit
			num_waiting_customers = max(num_waiting_customers - 4, 0)
			i += 1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(n_board, n_wait) = (0, 0)
		(cur_profit, max_profit, max_idx) = (0, -float('inf'), -1)
		for (i, people) in enumerate(customers):
			n_wait += people
			n_board += min(4, n_wait)
			n_wait -= min(4, n_wait)
			cur_profit = boardingCost * n_board - (i + 1) * runningCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				max_idx = i + 1
		while n_wait:
			i += 1
			n_board += min(n_wait, 4)
			n_wait -= min(n_wait, 4)
			cur_profit = boardingCost * n_board - (i + 1) * runningCost
			if cur_profit > max_profit:
				max_profit = cur_profit
				max_idx = i + 1
		return max_idx if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		q = 0
		profit = 0
		ans = -1
		count = 0
		for i in customers:
			count += 1
			q += i
			board = min(q, 4)
			q -= board
			temp = profit + board * boardingCost - runningCost
			if temp > profit:
				profit = temp
				ans = count
		times = q // 4
		left = q % 4
		temp = profit + times * (4 * boardingCost - runningCost)
		if temp > profit:
			profit = temp
			count += times
			ans = count
		temp = profit + left * boardingCost - runningCost
		if temp > profit:
			profit = temp
			count += 1
			ans = count
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		r = 1
		wait = 0
		cost = 0
		cround = []
		for c in customers:
			wait += c
			if wait >= 4:
				wait -= 4
				cost += boardingCost * 4 - runningCost
				cround.append([cost, r])
			elif wait > 0:
				cost += boardingCost * wait - runningCost
				wait -= wait
				cround.append([cost, r])
			r += 1
		while wait >= 4:
			wait -= 4
			cost += boardingCost * 4 - runningCost
			cround.append([cost, r])
			r += 1
		if wait > 0:
			cost += boardingCost * wait - runningCost
			cround.append([cost, r])
			wait -= wait
			r += 1
		ans = max(cround, key=lambda x: x[0])
		if ans[0] > 0:
			return ans[1]
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		p = 0
		maxp = 0
		res = -1
		curr = 0
		i = 0
		while curr or i < len(customers):
			if i < len(customers):
				curr += customers[i]
			i += 1
			p += min(curr, 4) * boardingCost - runningCost
			if p > maxp:
				res = i
				maxp = p
			curr = max(0, curr - 4)
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		r = -1
		maxV = 0
		pre = 0
		profit = 0
		i = 0
		while True:
			curr = 0
			if i < len(customers):
				curr = customers[i]
			profit += min(curr + pre, 4) * boardingCost - runningCost
			pre = max(curr + pre - 4, 0)
			if profit > maxV:
				r = i + 1
				maxV = profit
			i += 1
			if i >= len(customers) and pre <= 0:
				break
		return r


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(steps, waiting) = (1, 0)
		(fee, cost, record, max_profit) = (0, 0, {}, -sys.maxsize)
		while steps < len(customers) or waiting > 0:
			arrival = customers[steps - 1] if steps <= len(customers) else 0
			if arrival + waiting <= 4:
				fee += (arrival + waiting) * boardingCost
				waiting = 0
			else:
				waiting = arrival + waiting - 4
				fee += 4 * boardingCost
			cost += runningCost
			record[steps] = fee - cost
			max_profit = max(max_profit, fee - cost)
			steps += 1
		for k in record:
			if record[k] > 0 and record[k] == max_profit:
				return k
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		left_people = 0
		profit = 0
		maxProfit = -1
		maxpc = 0
		counter = 0
		i = 0
		while i < len(customers) or left_people > 0:
			counter += 1
			left_people += customers[i] if i < len(customers) else 0
			profit += min(left_people, 4) * boardingCost - runningCost
			left_people = max(left_people - 4, 0)
			if profit > maxProfit:
				maxProfit = profit
				maxpc = counter
			i += 1
		return -1 if maxProfit < 0 else maxpc


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		num_wait = 0
		num_board = 0
		num_round = 0
		max_prof = 0
		res = -1
		for a in customers:
			num_round += 1
			if num_wait + a >= 4:
				num_board += 4
				num_wait += a - 4
			else:
				num_board += num_wait + a
				num_wait = 0
			if boardingCost * num_board - runningCost * num_round > max_prof:
				max_prof = max(max_prof, boardingCost * num_board - runningCost * num_round)
				res = num_round
		while num_wait > 0:
			num_round += 1
			num_board += min(4, num_wait)
			num_wait -= min(4, num_wait)
			if boardingCost * num_board - runningCost * num_round > max_prof:
				max_prof = max(max_prof, boardingCost * num_board - runningCost * num_round)
				res = num_round
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boarding_cost: int, running_cost: int) -> int:
		max_profit = -1
		cur_profit = 0
		waiting = 0
		rotations = 0
		i = 0
		while i < len(customers):
			c = customers[i]
			waiting += c
			boarded = min([waiting, 4])
			waiting = max([waiting - boarded, 0])
			cur_profit += boarded * boarding_cost - running_cost
			if cur_profit > 0 and max_profit < cur_profit:
				max_profit = max([max_profit, cur_profit])
				rotations = i + 1
			i += 1
		while waiting > 0:
			boarded = min([waiting, 4])
			waiting = max([waiting - boarded, 0])
			cur_profit += boarded * boarding_cost - running_cost
			if cur_profit > 0 and max_profit < cur_profit:
				max_profit = max([max_profit, cur_profit])
				rotations = i + 1
			i += 1
		if rotations == 0:
			return -1
		return rotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = [0] * 1000000
		waiting = 0
		for i in range(1000000):
			if i < len(customers):
				waiting += customers[i]
			if waiting <= 4:
				ans[i] = ans[i - 1] + waiting * boardingCost - runningCost
				waiting = 0
			else:
				ans[i] = ans[i - 1] + 4 * boardingCost - runningCost
				waiting -= 4
			if waiting <= 0 and i >= len(customers):
				break
		maxVal = max(ans)
		if maxVal <= 0:
			return -1
		ret = ans.index(maxVal) + 1
		return ret


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return -1
		profit = 4 * boardingCost - runningCost
		if profit <= 0:
			return -1
		cumulate = sum(customers)
		cum = 0
		rt = 0
		al = 0
		maxl = 0
		for item in customers:
			cum += item
			if cum >= 4:
				cum -= 4
				rt += 1
				al += 4
				maxl = max(maxl, al * boardingCost - rt * runningCost)
			else:
				rt += 1
				al += cum
				maxl = al * boardingCost - rt * runningCost
				cum = 0
		a = cum // 4
		b = cum % 4
		profit = boardingCost * b - runningCost
		if profit > 0:
			rt = rt + a + 1
		else:
			rt += a
		return rt


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profits = [0] * (13 * len(customers))
		p_cursor = 0
		waiting = 0
		for c in customers:
			waiting += c
			riding = min(waiting, 4)
			profits[p_cursor] += boardingCost * riding
			profits[p_cursor] -= runningCost
			if p_cursor > 0:
				profits[p_cursor] += profits[p_cursor - 1]
			p_cursor += 1
			waiting -= riding
		while waiting > 0:
			riding = min(waiting, 4)
			profits[p_cursor] += boardingCost * riding
			profits[p_cursor] -= runningCost
			if p_cursor > 0:
				profits[p_cursor] += profits[p_cursor - 1]
			p_cursor += 1
			waiting -= riding
		max_profit = max(profits)
		if max_profit <= 0:
			return -1
		for (i, p) in enumerate(profits):
			if p == max_profit:
				return i + 1
		return -1


class Solution:

	def minOperationsMaxProfit(self, a: List[int], boardingCost: int, runningCost: int) -> int:
		res = boarding = profit = rem = 0
		n = len(a)
		cap = 4
		profits = []
		i = 0
		while rem or i < n:
			if i < n:
				rem += a[i]
			boarding = min(rem, cap)
			rem = max(0, rem - cap)
			profit += boarding * boardingCost - runningCost
			profits.append(profit)
			i += 1
		argmax = -1
		mx = -float('inf')
		for (i, x) in enumerate(profits):
			if x > mx:
				mx = x
				argmax = i
		return argmax + 1 if profits[argmax] > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		rotations = 0
		wheel = [0, 0, 0, 0]
		profits = []
		cost = 0
		waiting = 0
		profit = 0
		maxProfit = 0
		for i in range(len(customers)):
			waiting += customers[i]
			if waiting > 4:
				profit += 4 * boardingCost
			else:
				profit = boardingCost * waiting
			profit -= runningCost
			rotations += 1
			(wheel[2], wheel[3]) = (wheel[1], wheel[2])
			wheel[1] = min(waiting, 4)
			waiting -= min(waiting, 4)
			profits.append((profit, rotations))
		while waiting > 0:
			profit += min(4, waiting) * boardingCost
			waiting -= min(4, waiting)
			profit -= runningCost
			rotations += 1
			profits.append((profit, rotations))
		profits = sorted(profits, key=lambda x: (x[0], -x[1]), reverse=True)
		if profits[0][0] > 0:
			return profits[0][1]
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if len(customers) == 0:
			return -1
		curWait = 0
		prof = 0
		maps = []
		count = 0
		while curWait != 0 or count < len(customers):
			if count < len(customers):
				cu = customers[count]
				curWait += cu
			count += 1
			prof -= runningCost
			if curWait <= 4:
				prof += curWait * boardingCost
				curWait = 0
			else:
				prof += 4 * boardingCost
				curWait -= 4
			maps.append([count, prof])
		maps = sorted(maps, key=lambda x: x[1], reverse=True)
		if maps[0][1] <= 0:
			return -1
		else:
			return maps[0][0]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		temp = 0
		profit = 0
		r = 0
		waiting = 0
		ans = -1
		i = 0
		while i < len(customers) or waiting > 0:
			num = min(waiting + customers[i], 4) if i < len(customers) else min(waiting, 4)
			profit += num * boardingCost - runningCost
			r += 1
			waiting = max(waiting + customers[i] - 4, 0) if i < len(customers) else max(waiting - 4, 0)
			i += 1
			if profit > temp:
				temp = profit
				ans = r
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		times = 0
		left = 0
		profit = 0
		pros = []
		for i in range(len(customers)):
			left += customers[i]
			profit = profit + min(left, 4) * boardingCost - runningCost
			pros.append(profit)
			left = max(0, left - 4)
			times += 1
		i = len(customers)
		while left > 0:
			profit = profit + min(left, 4) * boardingCost - runningCost
			pros.append(profit)
			i += 1
			left = max(0, left - 4)
			times += 1
		mm = -1
		out = -1
		for i in range(len(pros)):
			if pros[i] > mm:
				mm = pros[i]
				out = i + 1
		if profit > 0:
			return out
		return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if not customers:
			return -1
		profits = []
		wait = 0
		i = 0
		while True:
			if i > len(customers) - 1 and wait <= 0:
				break
			elif i <= len(customers) - 1:
				wait += customers[i]
				profit = min(4, wait) * boardingCost - runningCost
				profits.append(profit)
				wait = wait - min(4, wait)
				i += 1
			else:
				profit = min(4, wait) * boardingCost - runningCost
				profits.append(profit)
				wait = wait - min(4, wait)
		sum_ = profits[0]
		for i in range(1, len(profits)):
			profits[i] = sum_ + profits[i]
			sum_ = profits[i]
		max_ = 0
		index = -1
		for i in range(0, len(profits)):
			if max_ < profits[i]:
				index = i
				max_ = profits[i]
		if index > -1:
			index += 1
		return index


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		waiting_customers = 0
		wheel_rotations = 0
		minimum_wheel_rotations = -1
		max_profit = 0
		profit = 0
		for c in customers:
			wheel_rotations += 1
			boarding_waiting = min(4, waiting_customers)
			waiting_customers -= boarding_waiting
			boarding_now = max(0, min(4, c) - boarding_waiting)
			waiting_customers += c - boarding_now
			total_boarding = boarding_waiting + boarding_now
			profit += total_boarding * boardingCost - runningCost
			if profit > max_profit:
				max_profit = profit
				minimum_wheel_rotations = wheel_rotations
		fullrevenue_rotations = waiting_customers // 4
		wheel_rotations += fullrevenue_rotations
		fullrevenue = fullrevenue_rotations * (4 * boardingCost - runningCost)
		profit += fullrevenue
		if profit > max_profit:
			max_profit = profit
			minimum_wheel_rotations = wheel_rotations
		remaining_customers = waiting_customers % 4
		wheel_rotations += 1
		remaining_revenue = remaining_customers * boardingCost - runningCost
		profit += remaining_revenue
		if profit > max_profit:
			max_profit = profit
			minimum_wheel_rotations = wheel_rotations
		return minimum_wheel_rotations


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wt = 0
		profit = 0
		bp = 0
		ret = -1
		cr = 0
		gondola = [0, 0, 0, 0]
		i = 0
		while i < len(customers) or wt:
			cr += 1
			if i < len(customers):
				e = customers[i]
				wt += e
			if wt:
				take = min(wt, 4)
				profit += boardingCost * take - runningCost
				wt -= take
				gondola = gondola[1:] + [take]
			elif sum(gondola) == 0:
				profit -= runningCost
			if profit > bp:
				bp = profit
				ret = cr
			i += 1
		return ret


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = 0
		max_step = -1
		profit = 0
		rest = 0
		for (i, c) in enumerate(customers):
			customer = c + rest
			(customer, rest) = (min(4, customer), max(0, customer - 4))
			profit += customer * boardingCost - runningCost
			if profit > max_profit:
				max_profit = profit
				max_step = i + 1
		(q, r) = divmod(rest, 4)
		if q > 0:
			profit += q * 4 * boardingCost - q * runningCost
			if profit > max_profit:
				max_profit = profit
				max_step = len(customers) + q
		if r > 0:
			profit += r * boardingCost - runningCost
			if profit > max_profit:
				max_step = len(customers) + q + 1
		return max_step


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		wating = 0
		profit = 0
		idx = -1
		t_r = 0
		max_profit = 0
		for customer in customers:
			wating += customer
			if wating <= 4:
				profit += wating * boardingCost - runningCost
				wating = 0
			else:
				profit += 4 * boardingCost - runningCost
				wating -= 4
			t_r += 1
			if profit > max_profit:
				idx = t_r
				max_profit = profit
		if wating > 0:
			if 4 * boardingCost > runningCost:
				idx += wating // 4
		wating = wating % 4
		if wating * boardingCost > runningCost:
			idx += 1
		return idx


from typing import List, Dict, Tuple

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		current = 0
		cost = 0
		amari = 0
		ans = -1
		macost = 0
		for customer in customers:
			amari += customer
			if amari >= 4:
				amari -= 4
				cost += 4 * boardingCost - runningCost
				current += 1
				if cost > macost:
					macost = cost
					ans = current
			else:
				tmp = cost
				tmp = cost
				cost += amari * boardingCost - runningCost
				amari = 0
				current += 1
				if cost > macost:
					macost = cost
					ans = current
		(a, b) = divmod(amari, 4)
		if 4 * boardingCost > runningCost:
			cost += a * boardingCost - runningCost
			current += a
			if cost > macost:
				macost = cost
				ans = current
		if b * boardingCost > runningCost:
			cost += b * boardingCost - runningCost
			current += 1
			if cost > macost:
				macost = cost
				ans = current
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		count = 0
		minCount = -1
		profit = 0
		maxProfit = None
		waiting = 0
		for (i, cnum) in enumerate(customers):
			waiting += cnum
			if waiting >= 4:
				rounds = waiting // 4
				count += rounds
				profit += (boardingCost * 4 - runningCost) * rounds
				waiting = waiting % 4
			elif count <= i:
				count += 1
				profit += boardingCost * waiting - runningCost
				waiting = 0
			if profit > 0 and (maxProfit is None or profit > maxProfit):
				maxProfit = profit
				minCount = count
		if waiting > 0:
			profit += boardingCost * waiting - runningCost
			count += 1
			if profit > 0 and (maxProfit is None or profit > maxProfit):
				maxProfit = profit
				minCount = count
		return minCount


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		r = 0
		c = 0
		n = len(customers)
		total = 0
		ans = 0
		ind = -1
		while c < n:
			if customers[c] >= 4:
				r += customers[c] // 4
				total += customers[c] // 4 * 4
				customers[c] -= customers[c] // 4 * 4
				if customers[c] == 0:
					c += 1
				res = total * boardingCost - r * runningCost
				if res > ans:
					ans = res
					ind = r
			else:
				if c == n - 1 or c == r:
					total += customers[c]
					r += 1
					res = total * boardingCost - r * runningCost
					if res > ans:
						ans = res
						ind = r
				else:
					customers[c + 1] += customers[c]
				c += 1
		return ind


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		waiting = 0
		rotations = 0
		onboard = 0
		gondola_customers = deque([])
		total = 0
		maxprofit = 0
		max_rotation = -1
		for (idx, arrival) in enumerate(customers):
			if gondola_customers and gondola_customers[0][1] == idx:
				coming_down = gondola_customers.popleft()[0]
				onboard -= coming_down
			total = arrival
			if waiting > 0:
				total = waiting + arrival
			board = min(total, 4)
			profit += board * boardingCost - runningCost
			onboard += board
			gondola_customers.append([board, idx + 4])
			waiting += arrival - board
			rotations += 1
			if profit > maxprofit:
				maxprofit = profit
				max_rotation = rotations
		profit += waiting // 4 * (4 * boardingCost - runningCost)
		rotations += waiting // 4
		if profit > maxprofit:
			maxprofit = profit
			max_rotation = rotations
		profit += waiting % 4 * boardingCost - runningCost
		rotations += waiting % 4 > 0
		if profit > maxprofit:
			maxprofit = profit
			max_rotation = rotations
		return max_rotation if maxprofit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], B: int, R: int) -> int:
		turns = 0
		boarded = 0
		max_profit = -1
		rem = 0
		max_turns = -1
		for (i, c) in enumerate(customers):
			(t, rem) = divmod(c + rem, 4)
			turns += t
			boarded += t * 4
			if turns <= i:
				turns += 1
				boarded += rem
				rem = 0
			profit = boarded * B - turns * R
			if profit > max_profit:
				max_profit = profit
				max_turns = turns
		if rem > 0:
			boarded += rem
			turns += 1
			profit = boarded * B - turns * R
			if profit > max_profit:
				max_profit = profit
				max_turns = turns
		return max_turns if max_profit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		left = 0
		cost = 0
		step = 0

		def ceildiv(a, b):
			return -(-a // b)
		for i in range(len(customers)):
			left += customers[i]
			if left >= 4:
				left -= 4
				cost = 4 * boardingCost - runningCost
				step += 1
			else:
				cost = left * boardingCost - runningCost
				step += 1
				left = 0
		lefts = left // 4
		leftc = left % 4
		costl = leftc * boardingCost - runningCost
		cost = cost + left * boardingCost - runningCost * lefts
		step += lefts
		if cost > 0:
			if costl > 0:
				return step + 1
			else:
				return step
		else:
			return -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		_max = float('-inf')
		(queue, index, profit, rotations, buffer) = (0, 0, 0, 0, 0)
		_len = len(customers)
		while queue >= 0 and index < _len:
			queue += customers[index]
			profit += min(queue, 4) * boardingCost - runningCost
			queue -= min(queue, 4)
			if profit > _max:
				rotations += 1
			if profit == _max:
				buffer += 1
			_max = max(_max, profit)
			index += 1
			if index == _len and queue:
				profit += queue // 4 * 4 * boardingCost - queue // 4 * runningCost
				_max = max(_max, profit)
				rotations += queue // 4
				queue -= queue // 4 * 4
		if queue:
			profit += queue % 4 * boardingCost - runningCost
			if profit > _max:
				rotations += 1
			_max = max(_max, profit)
		return rotations + buffer if _max >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cur = 0
		total = 0
		profit1 = [0, 0]
		profit2 = [0, 0]
		stop = False
		left = 0
		if 4 * boardingCost - runningCost <= 0:
			return -1
		while cur < len(customers):
			left += customers[cur]
			if left >= 4:
				left -= 4
				customer = 4
			else:
				customer = left
				left = 0
			if customer * boardingCost - runningCost + profit1[0] > profit1[0]:
				profit2[0] = customer * boardingCost - runningCost + profit1[0]
				profit2[1] = profit1[1] + 1
			profit1[0] = customer * boardingCost - runningCost + profit1[0]
			profit1[1] = profit1[1] + 1
			cur += 1
		if left:
			profit1[0] += left // 4 * (customer * boardingCost - runningCost)
			profit1[1] += left // 4
			if left % 4 * boardingCost - runningCost > 0:
				profit1[0] += left % 4 * boardingCost - runningCost
				profit1[1] += 1
		if profit1[0] > profit2[0]:
			return profit1[1]
		elif profit1[0] < profit2[0]:
			return profit2[1]
		else:
			return min(profit1[1], profit2[1])


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		return self.min_operations_max_profit_recurse(customers, 0, boardingCost, runningCost, 0, 0)[1]

	def serve_remaining_people(self, waiting, boardingCost, runningCost, depth):
		profit = 0
		num_rotations = waiting // 4
		if num_rotations and 4 * boardingCost - runningCost > 0:
			depth += num_rotations
			profit += (4 * boardingCost - runningCost) * num_rotations
		if waiting % 4 and waiting % 4 * boardingCost - runningCost > 0:
			depth += 1
			profit += waiting % 4 * boardingCost - runningCost
		return (profit, depth)

	def min_operations_max_profit_recurse(self, customers, index, boardingCost, runningCost, waiting, depth):
		if index == len(customers):
			return self.serve_remaining_people(waiting, boardingCost, runningCost, depth)
		waiting += customers[index]
		gondola = min(waiting, 4)
		waiting -= gondola
		(profit, rotations) = self.min_operations_max_profit_recurse(customers, index + 1, boardingCost, runningCost, waiting, depth + 1)
		profit += gondola * boardingCost - runningCost
		if profit <= 0:
			return (-1, -1)
		return (profit, rotations)


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		nwaiting = 0
		profit = 0
		maxprofit = 0
		res = -1
		for (i, c) in enumerate(customers, 1):
			nwaiting += c
			onboard = min(4, nwaiting)
			nwaiting -= onboard
			profit += onboard * boardingCost - runningCost
			if maxprofit < profit:
				maxprofit = profit
				res = i
		if nwaiting > 0:
			roundn = nwaiting // 4
			nwaiting -= roundn * 4
			profit += roundn * (4 * boardingCost - runningCost)
			if maxprofit < profit:
				maxprofit = profit
				res += roundn
		if nwaiting > 0:
			profit += nwaiting * boardingCost - runningCost
			if maxprofit < profit:
				maxprofit = profit
				res += 1
		return res if maxprofit > 0 else -1


from math import ceil

class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		r = 0
		boarded = 0
		maxProfit = 0
		maxR = -1
		print(customers, boardingCost, runningCost)
		for i in range(len(customers) - 1):
			customers[i + 1] += customers[i] - 4 if customers[i] > 4 else 0
			r += 1
			boarded += min(customers[i], 4)
			profit = boarded * boardingCost - r * runningCost
			if profit > maxProfit:
				maxProfit = profit
				maxR = r
		r += ceil(customers[-1] / 4)
		boarded += customers[-1]
		if customers[-1] % 4 > 0 and customers[-1] % 4 * boardingCost - runningCost <= 0:
			r -= 1
			boarded -= customers[-1] % 4
		profit = boarded * boardingCost - r * runningCost
		if profit > maxProfit:
			maxProfit = profit
			maxR = r
		return maxR if maxProfit > 0 else -1


class Solution:

	def profit(self, s, customers, count, curr_profit, waiting, rot_cost, bill):
		if curr_profit > self.profit_so_far:
			self.profit_so_far = curr_profit
			self.ans = count
		if waiting == 0 and s >= len(customers):
			return
		if s >= len(customers) and waiting > 4:
			n = waiting // 4
			waiting = waiting - n * 4
			count += n
			curr_profit += n * 4 * bill - n * rot_cost
			self.profit(len(customers), customers, count, curr_profit, waiting, rot_cost, bill)
			return
		if s < len(customers):
			waiting += customers[s]
		curr_profit -= rot_cost
		if waiting <= 4:
			curr_profit += waiting * bill
			waiting = 0
		else:
			waiting -= 4
			curr_profit += 4 * bill
		self.profit(s + 1, customers, count + 1, curr_profit, waiting, rot_cost, bill)

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		self.ans = -1
		self.profit_so_far = 0
		self.profit(0, customers, 0, 0, 0, runningCost, boardingCost)
		return self.ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		(avail, cur, high, high_idx) = (0, 0, 0, -1)
		for (i, c) in enumerate(customers):
			avail += c
			if avail > 4:
				cur += 4 * boardingCost - runningCost
				avail -= 4
			else:
				cur += avail * boardingCost - runningCost
				avail = 0
			if cur > high:
				(high, high_idx) = (cur, i + 1)
		if 4 * boardingCost - runningCost > 0:
			i += avail // 4
			cur += (4 * boardingCost - runningCost) * (avail // 4)
			avail = avail % 4
			(high, high_idx) = (cur, i + 1)
			cur += avail * boardingCost - runningCost
			avail = 0
			if cur > high:
				(high, high_idx) = (cur, high_idx + 1)
		return high_idx


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 <= runningCost:
			return -1
		customers.append(0)
		profit = []
		(curProfit, runs) = (0, 0)
		for i in range(len(customers) - 1):
			if customers[i] >= 4:
				if i + 1 < len(customers):
					customers[i + 1] += customers[i] - 4
				customers[i] = 4
			if customers[i] * boardingCost < runningCost:
				runs = runs + 1
				profit.append((curProfit, runs))
				continue
			curProfit += customers[i] * boardingCost - runningCost
			runs += 1
			profit.append((curProfit, runs))
		if customers[-1] > 0:
			runs = runs + customers[-1] // 4
			curProfit += customers[-1] // 4 * boardingCost - customers[-1] // 4 // 4 * runningCost
			customers[-1] = customers[-1] % 4
			if customers[-1] * boardingCost > runningCost:
				runs = runs + 1
				curProfit += customers[-1] * boardingCost - runningCost
			profit.append((curProfit, runs))
		profit.sort(key=lambda x: (-x[0], x[1]))
		return profit[0][1] if profit[0][0] > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		cs = [customers[0]]
		for tmp in customers[1:]:
			cs.append(cs[-1] + tmp)
		maxp = -1
		maxn = -1
		max_cap = 0
		for i in range(len(customers)):
			max_cap = min(cs[i], max_cap + 4)
			cur_profit = max_cap * boardingCost - runningCost * (i + 1)
			if cur_profit > maxp:
				maxp = cur_profit
				maxn = i + 1
		ppl_left = cs[-1] - max_cap
		rounds = ppl_left // 4
		cur_profit += rounds * (4 * boardingCost - runningCost)
		cur_round = len(customers) + rounds
		if cur_profit > maxp:
			maxp = cur_profit
			maxn = cur_round
		ppl_left2 = ppl_left % 4
		cur_profit += ppl_left2 * boardingCost - runningCost
		cur_round += 1
		if cur_profit > maxp:
			maxp = cur_profit
			maxn = cur_round
		return maxn


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		max_profit = times_rotated = float('-inf')
		total_customers = ran = left = i = 0
		while i < len(customers) or left > 0:
			if i < len(customers):
				left += customers[i]
			if i < ran:
				i += 1
				continue
			if left >= 4:
				times = left // 4
				total_customers += 4 * times
				ran += times
				left -= 4 * times
			else:
				total_customers += left
				left = 0
				ran += 1
			curr_profit = total_customers * boardingCost - ran * runningCost
			if curr_profit > max_profit:
				max_profit = curr_profit
				times_rotated = ran
			i += 1
		if max_profit < 0:
			return -1
		return times_rotated


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if runningCost >= boardingCost * 4:
			return -1
		result = -1
		maxProfit = 0
		waiting = 0
		current = 0
		for (i, customerCount) in enumerate(customers):
			waiting += customerCount
			boarding = min(waiting, 4)
			waiting -= boarding
			current += boarding * boardingCost - runningCost
			if current > maxProfit:
				maxProfit = current
				result = i + 1
		if waiting > 0:
			fullRoundsLeft = waiting // 4
			lastRoundQuantity = waiting % 4
			current += fullRoundsLeft * (4 * boardingCost - runningCost)
			turns = len(customers) + fullRoundsLeft
			if current > maxProfit:
				maxProfit = current
				result = turns
			current += lastRoundQuantity * boardingCost - runningCost
			turns += 1
			if current > maxProfit:
				maxProfit = current
				result = turns
		return result if result >= 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		numCust = 0
		rotation = 0
		curWait = 0
		maxProfit = 0
		minRo = 0
		for (i, customer) in enumerate(customers):
			while rotation < i:
				rotation += 1
				curWait -= 4
				curWait = max(0, curWait)
				curProfit = (numCust - curWait) * boardingCost - rotation * runningCost
				if curProfit > maxProfit:
					maxProfit = curProfit
					minRo = rotation
			numCust += customer
			curWait += customer
			rots = curWait // 4
			rotation += rots
			curWait %= 4
			curProfit = (numCust - curWait) * boardingCost - rotation * runningCost
			if curProfit > maxProfit:
				maxProfit = curProfit
				minRo = rotation
		if curWait > 0:
			rotation += 1
			curProfit = numCust * boardingCost - rotation * runningCost
			if curProfit > maxProfit:
				maxProfit = curProfit
				minRo = rotation
		return minRo if maxProfit > 0 else -1


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		waiting = 0
		rotations = 0
		ans = -1
		for c in customers:
			waiting += c
			cap = 0
			if waiting >= 4:
				waiting -= 4
				cap += 4
			else:
				cap = waiting
				waiting = 0
			cur_profit = profit + cap * boardingCost - runningCost
			rotations += 1
			if cur_profit > profit:
				ans = rotations
			profit = cur_profit
		if waiting > 0:
			req_rotations = math.ceil(waiting / 4)
			ignore = waiting // 4
			possible_profit = waiting * boardingCost - req_rotations * runningCost
			full_only = (waiting - waiting % 4) * boardingCost - ignore * runningCost
			if possible_profit > full_only:
				additional = req_rotations
				if profit + possible_profit > profit:
					ans = rotations + req_rotations
			else:
				additional = ignore
				if profit + full_only > profit:
					ans = rotations + ignore
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = -1
		maxp = 0
		curr = 0
		c = 0
		track = 0
		for i in range(len(customers)):
			track += customers[i]
			curr += min(4, track) * boardingCost - runningCost
			track -= min(4, track)
			c += 1
			if curr > maxp:
				maxp = curr
				ans = c
		if track >= 4:
			curr += (track - track % 4) * boardingCost - track // 4 * runningCost
			c += track // 4
			if curr > maxp:
				maxp = curr
				ans = c
		curr += track % 4 * boardingCost - runningCost
		c += 1
		if curr > maxp:
			maxp = curr
			ans = c
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		ans = -1
		if boardingCost * 4 < runningCost:
			return ans
		cur_profit = 0
		wait_num = 0
		dic = {}
		for i in range(len(customers)):
			if customers[i] + wait_num < 5:
				cur_profit += boardingCost * (customers[i] + wait_num) - runningCost
				wait_num = 0
			else:
				cur_profit += boardingCost * 4 - runningCost
				wait_num += customers[i] - 4
			if cur_profit > ans:
				ans = cur_profit
				dic[ans] = i + 1
		if wait_num > 0:
			while wait_num > 3:
				wait_num -= 4
				dic[ans] += 1
			if wait_num * boardingCost > runningCost:
				dic[ans] += 1
		return dic[ans]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		if boardingCost * 4 < runningCost:
			return -1
		rot = 0
		spot = 0
		prof = max_prof = [0, 0]
		while spot < len(customers):
			rot += 1
			curr = customers[spot]
			if curr > 4:
				if spot == len(customers) - 1:
					temp = prof[0] + 4 * boardingCost * (curr // 4) - runningCost * (curr // 4)
					max_prof1 = max(max_prof, [temp, rot - 1 + curr // 4])
					temp = prof[0] + 4 * boardingCost * (curr // 4) + boardingCost * (curr % 4) - runningCost * (curr // 4 + bool(curr % 4))
					max_prof2 = max(max_prof, [temp, rot - 1 + curr // 4 + bool(curr % 4)])
					if max_prof1[0] != max_prof2[0]:
						return max(max_prof1, max_prof2)[1]
					if max_prof1[0] == max_prof2[0]:
						return max_prof1[1]
				else:
					customers[spot + 1] += curr - 4
				prof[0] += 4 * boardingCost - runningCost
			else:
				prof[0] += curr * boardingCost - runningCost
			max_prof = max(max_prof, [prof[0], rot])
			spot += 1
		return max_prof[1]


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		profit = 0
		maxProfit = -1
		res = -1
		currentCustomer = 0
		for (i, c) in enumerate(customers):
			currentCustomer += c
			if currentCustomer <= 4:
				profit += currentCustomer * boardingCost - runningCost
				currentCustomer = 0
			else:
				profit += 4 * boardingCost - runningCost
				currentCustomer -= 4
			if profit > maxProfit:
				maxProfit = profit
				res = i + 1
		rounds = currentCustomer // 4
		left = currentCustomer % 4
		if boardingCost * 4 - runningCost > 0:
			profit += rounds * (boardingCost * 4 - runningCost)
			if profit > maxProfit:
				maxProfit = profit
				res += rounds
			profit += boardingCost * left - runningCost
			if profit > maxProfit:
				maxProfit = profit
				res += 1
		return res


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		minimum = runningCost // boardingCost + 1
		if minimum > 4:
			return -1
		max_value = 0
		profit = 0
		remain = 0
		turns = 0
		res = None
		for c in customers:
			turns += 1
			temp = remain + c
			if temp >= 4:
				remain = temp - 4
				profit += 4 * boardingCost - runningCost
			else:
				remain = 0
				profit += temp * boardingCost - runningCost
			if profit > max_value:
				res = turns
				max_value = profit
		print(turns, remain)
		while remain:
			turns += 1
			if remain >= 4:
				remain -= 4
				profit += 4 * boardingCost - runningCost
			else:
				profit += remain * boardingCost - runningCost
				remain = 0
			if profit > max_value:
				res = turns
				max_value = profit
		return res


class Solution:

	def minOperationsMaxProfit(self, nums: List[int], pos: int, fee: int) -> int:
		if 4 * pos <= fee:
			return -1
		ans = cur = 0
		s = sum(nums)
		best = -math.inf
		p = 0
		for (i, x) in enumerate(nums):
			cur += x
			if cur >= 4:
				p += 4 * pos - fee
				cur -= 4
			else:
				p += cur * pos - fee
				cur = 0
			if p > best:
				best = p
				ans = i + 1
		res = len(nums)
		while cur > 0:
			res += 1
			if cur >= 4:
				p += 4 * pos - fee
				cur -= 4
			else:
				p += cur * pos - fee
				cur = 0
			if p > best:
				best = p
				ans = res
		if best <= 0:
			return -1
		return ans


class Solution:

	def minOperationsMaxProfit(self, customers: List[int], boardingCost: int, runningCost: int) -> int:
		inLine = 0
		profit = 0
		maxProf = -1
		maxRoll = -1
		rolls = 0
		for i in customers:
			inLine += i
			if inLine >= 4:
				profit += 4 * boardingCost - runningCost
				inLine -= 4
			else:
				profit += inLine * boardingCost - runningCost
				inLine = 0
			rolls += 1
			if profit > maxProf:
				maxProf = profit
				maxRoll = rolls
		while inLine:
			if inLine >= 4:
				profit += 4 * boardingCost - runningCost
				inLine -= 4
			else:
				profit += inLine * boardingCost - runningCost
				inLine = 0
			rolls += 1
			if profit > maxProf:
				maxProf = profit
				maxRoll = rolls
		return maxRoll