[Swift]LeetCode879. 盈利计划 | Profitable Schemes

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There are G people in a gang, and a list of various crimes they could commit.

The i-th crime generates a profit[i] and requires group[i] gang members to participate.

If a gang member participates in one crime, that member can't participate in another crime.

Let's call a profitable scheme any subset of these crimes that generates at least Pprofit, and the total number of gang members participating in that subset of crimes is at most G.

How many schemes can be chosen?  Since the answer may be very large, return it modulo 10^9 + 7. 

Example 1:

Input: G = 5, P = 3, group = [2,2], profit = [2,3] Output: 2 Explanation: To make a profit of at least 3, the gang could either commit crimes 0 and 1, or just crime 1. In total, there are 2 schemes. 

Example 2:

Input: G = 10, P = 5, group = [2,3,5], profit = [6,7,8] Output: 7 Explanation: To make a profit of at least 5, the gang could commit any crimes, as long as they commit one. There are 7 possible schemes: (0), (1), (2), (0,1), (0,2), (1,2), and (0,1,2). 

Note:

1. 1 <= G <= 100
2. 0 <= P <= 100
3. 1 <= group[i] <= 100
4. 0 <= profit[i] <= 100
5. 1 <= group.length = profit.length <= 100

---

帮派里有 G 名成员，他们可能犯下各类各样的罪行。

第 i 种犯罪会产生 profit[i] 的利润，它要求 group[i] 名成员共同参与。

让咱们把这些犯罪的任何子集称为盈利计划，该计划至少产生 P 的利润。

有多少种方案能够选择？由于答案很大，因此返回它模 10^9 + 7 的值。 

示例 1：

输入：G = 5, P = 3, group = [2,2], profit = [2,3]
输出：2
解释： 
至少产生 3 的利润，该帮派能够犯下罪 0 和罪 1 ，或仅犯下罪 1 。
总的来讲，有两种方案。

示例 2:

输入：G = 10, P = 5, group = [2,3,5], profit = [6,7,8]
输出：7
解释：
至少产生 5 的利润，只要他们犯其中一种罪就行，因此该帮派能够犯下任何罪行 。
有 7 种可能的计划：(0)，(1)，(2)，(0,1)，(0,2)，(1,2)，以及 (0,1,2) 。 

提示：

1. 1 <= G <= 100
2. 0 <= P <= 100
3. 1 <= group[i] <= 100
4. 0 <= profit[i] <= 100
5. 1 <= group.length = profit.length <= 100

---

Runtime: 1032 ms

Memory Usage: 18.8 MB

 1 class Solution {
 2     func profitableSchemes(_ G: Int, _ P: Int, _ group: [Int], _ profit: [Int]) -> Int {
 3         var dp:[[Int]] = [[Int]](repeating:[Int](repeating:0,count:G + 1),count:P + 1)
 4         dp[0][0] = 1
 5         var res:Int = 0
 6         var mod:Int = Int(1e9 + 7)
 7         for k in 0..<group.count
 8         {
 9             var g:Int = group[k]
10             var p:Int = profit[k]
11             for i in stride(from:P,through:0,by:-1)
12             {
13                 for j in stride(from:G - g,through:0,by:-1)
14                 {
15                     dp[min(i + p, P)][j + g] = (dp[min(i + p, P)][j + g] + dp[i][j]) % mod
16                 }
17             }
18         }
19         for x in dp[P]
20         {
21             res = (res + x) % mod
22         }
23         return res
24     }
25 }

---

Runtime: 1192 ms

Memory Usage: 19.4 MB

 1 class Solution {
 2     func profitableSchemes(_ G: Int, _ P: Int, _ group: [Int], _ profit: [Int]) -> Int {
 3         guard G >= 1 && G <= 100 && P >= 0 && P <= 100 && group.count >= 1 && group.count <= 100 && group.count == profit.count else {
 4             return 0
 5         }
 6         let mod = Int(1e9 + 7)
 7         var crimePlanCount = Array(repeating: Array(repeating: 0, count: G + 1), count: P + 1)
 8         crimePlanCount[0][0] = 1
 9         for (index, groupValue) in group.enumerated() {
10             let profitValue = profit[index]
11             for p in stride(from: P, through: 0, by: -1) {
12                 for g in stride(from: G, through: 0, by: -1) {
13                     if groupValue + g > G || crimePlanCount[p][g] == 0 {
14                         continue
15                     }
16                     let targetProfit = min(P, profitValue + p)
17                     let targetGroup = groupValue + g
18                     crimePlanCount[targetProfit][targetGroup] += crimePlanCount[p][g]
19                     crimePlanCount[targetProfit][targetGroup] %= mod
20                 }
21             }
22         }
23         var result = 0
24         for count in crimePlanCount[P] {
25             result += count
26         }
27         return result % mod
28     }
29 }