添加 problem 347

This commit is contained in:
YDZ
2019-06-04 08:15:25 +08:00
parent 967e299d78
commit a2d983a185
3 changed files with 134 additions and 0 deletions

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package leetcode
import "container/heap"
func topKFrequent(nums []int, k int) []int {
m := make(map[int]int)
for _, n := range nums {
m[n]++
}
q := PriorityQueue{}
for key, count := range m {
heap.Push(&q, &Item{key: key, count: count})
}
var result []int
for len(result) < k {
item := heap.Pop(&q).(*Item)
result = append(result, item.key)
}
return result
}
type Item struct {
key int
count int
}
// A PriorityQueue implements heap.Interface and holds Items.
type PriorityQueue []*Item
func (pq PriorityQueue) Len() int {
return len(pq)
}
func (pq PriorityQueue) Less(i, j int) bool {
// 注意因为golang中的heap是按最小堆组织的所以count越大Less()越小,越靠近堆顶.
return pq[i].count > pq[j].count
}
func (pq PriorityQueue) Swap(i, j int) {
pq[i], pq[j] = pq[j], pq[i]
}
func (pq *PriorityQueue) Push(x interface{}) {
item := x.(*Item)
*pq = append(*pq, item)
}
func (pq *PriorityQueue) Pop() interface{} {
n := len(*pq)
item := (*pq)[n-1]
*pq = (*pq)[:n-1]
return item
}

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package leetcode
import (
"fmt"
"testing"
)
type question347 struct {
para347
ans347
}
// para 是参数
// one 代表第一个参数
type para347 struct {
one []int
two int
}
// ans 是答案
// one 代表第一个答案
type ans347 struct {
one []int
}
func Test_Problem347(t *testing.T) {
qs := []question347{
question347{
para347{[]int{1, 1, 1, 2, 2, 3}, 2},
ans347{[]int{1, 2}},
},
question347{
para347{[]int{1}, 1},
ans347{[]int{1}},
},
}
fmt.Printf("------------------------Leetcode Problem 347------------------------\n")
for _, q := range qs {
_, p := q.ans347, q.para347
fmt.Printf("【input】:%v 【output】:%v\n", p, topKFrequent(p.one, p.two))
}
fmt.Printf("\n\n\n")
}

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# [347. Top K Frequent Elements](https://leetcode.com/problems/top-k-frequent-elements/)
## 题目
Given a non-empty array of integers, return the k most frequent elements.
Example 1:
```c
Input: nums = [1,1,1,2,2,3], k = 2
Output: [1,2]
```
Example 2:
```c
Input: nums = [1], k = 1
Output: [1]
```
Note:
- You may assume k is always valid, 1 ≤ k ≤ number of unique elements.
- Your algorithm's time complexity must be better than O(n log n), where n is the array's size.
## 题目大意
给一个非空的数组,输出前 K 个频率最高的元素。
这一题是考察优先队列的题目。把数组构造成一个优先队列,输出前 K 个即可。