添加 度小满 第二题的解法

度小满/second/Second.java

-package second;
+package second;
@@ -17,7 +17,7 @@ public class Second {
     public void add(List<Pair<Integer, Integer>> list, int time, int weight) {
         list.add(new Pair<>(time, weight));
         // list 已经是一个小顶堆 重新排序
-        for (int i = list.size() - 1; i >= 0;) {
+        for (int i = list.size() - 1; i > 0;) {
             // 父节点的序号
             int father = i % 2 == 0 ? (i - 2) / 2 : i / 2;
             // 与父节点比较
@@ -31,10 +31,25 @@ public class Second {
     }
 
     /**
-     * 弹出值 并且在弹出之后 重新从上向下构建 小顶堆
+     * 弹出最小值 并且在弹出之后 重新从上向下构建 小顶堆
      */
-    public void pop() {
+    public Pair<Integer, Integer> pop(List<Pair<Integer, Integer>> list) {
+        swap(list, 0, list.size() - 1);
+        Pair<Integer, Integer> temp = list.remove(list.size() - 1);
 
+        int i = 0;
+        // 从上向下 重新构建小顶堆
+        while (i < list.size()) {
+            // 子树的左边那个
+            int k = 2 * i + 1;
+            // 左子树大于右子树
+            if (k < list.size() - 1 && list.get(k).getKey() > list.get(k + 1).getKey()) k++;
+            if (k >= list.size() || list.get(i).getKey() < list.get(k).getKey()) break;
+            swap(list, i, k);
+            i = k;
+        }
+
+        return temp;
     }
 
 
@@ -43,27 +58,38 @@ public class Second {
         int n = scanner.nextInt(), w = scanner.nextInt();
         int[] t = new int[n], weights = new int[n];
         for (int i = 0; i < n; i++) {
-            t[i] = scanner.nextInt();
+            weights[i] = scanner.nextInt();
         }
         for (int i = 0; i < n; i++) {
-            weights[i] = scanner.nextInt();
+            t[i] = scanner.nextInt();
         }
+
         Second second = new Second();
         List<Pair<Integer, Integer>> heap = new LinkedList<>();
         // 用堆排序的话就需要在出去的时候
         int currentTime = 0, currentWeight = w, index = 0;
         while (true) {
-            while (currentWeight >= 0) {
-                if (index >= n) break;
+            while (index < n && currentWeight - weights[index] >= 0) {
                 // 入堆 并调整
                 second.add(heap, currentTime + t[index], weights[index]);
                 currentWeight -= weights[index];
                 index++;
             }
+            if (index == n) {
+                // 等于n的时候 表示已经全部入完 这个时候需要全部出完即可
+                while (heap.size() != 0) {
+                    currentTime = second.pop(heap).getKey();
+                }
+                break;
+            } else {
                 // 出堆 直到下一个车能够入堆为止
-//            while () {
-//
-//            }
+                while (currentWeight < weights[index]) {
+                    Pair<Integer, Integer> temp = second.pop(heap);
+                    currentWeight += temp.getValue();
+                    currentTime = temp.getKey();
+                }
+            }
         }
+        System.out.println(currentTime);
     }
 }