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88 lines (68 loc) · 2.27 KB
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/*
Say you have an array for which the ith element is the price of a given stock on day i.
Design an algorithm to find the maximum profit. You may complete at most two transactions.
Note: You may not engage in multiple transactions at the same time (i.e., you must sell the stock before you buy again).
Example 1:
Input: [3,3,5,0,0,3,1,4]
Output: 6
Explanation: Buy on day 4 (price = 0) and sell on day 6 (price = 3), profit = 3-0 = 3.
Then buy on day 7 (price = 1) and sell on day 8 (price = 4), profit = 4-1 = 3.
Example 2:
Input: [1,2,3,4,5]
Output: 4
Explanation: Buy on day 1 (price = 1) and sell on day 5 (price = 5), profit = 5-1 = 4.
Note that you cannot buy on day 1, buy on day 2 and sell them later, as you are
engaging multiple transactions at the same time. You must sell before buying again.
Example 3:
Input: [7,6,4,3,1]
Output: 0
Explanation: In this case, no transaction is done, i.e. max profit = 0.
*/
func maxProfit(_ prices: [Int]) -> Int {
let n = prices.count
guard n > 1 else { return 0 }
var buy = [Int]()
var copy = prices
copy.insert(Int.max, at: 0)
let nn = copy.count
for i in 1..<nn-1 {
if copy[i] <= copy[i-1] && copy[i+1] > copy[i] {
//buy point
buy.append(i)
}
}
buy.insert(0, at: 0)
var result = 0
for i in 0..<buy.count where i + 1 < buy.count {
if i == 0 {
let p1 = _maxProfit(copy)
if p1 > result { result = p1 }
} else {
let a = copy[1..<buy[i+1]]
let b = copy[buy[i+1]..<copy.count]
let p0 = _maxProfit(Array(a))
let p1 = _maxProfit(Array(b))
let t = p0+p1
if t > result { result = t }
}
}
return result
}
func _maxProfit(_ prices: [Int]) -> Int {
guard prices.count > 1 else { return 0 }
if prices.count == 2 {
if prices[0] - prices[1] < 0 { return prices[1] - prices[0] }
else { return 0 }
}
var currentLowest = prices[0]
var profit = 0
for i in 0..<prices.count {
if prices[i] < currentLowest {
currentLowest = prices[i]
} else {
let diff = prices[i] - currentLowest
if diff > profit { profit = diff }
}
}
return profit
}