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110 changes: 106 additions & 4 deletions solution/3500-3599/3527.Find the Most Common Response/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -74,32 +74,134 @@ tags:

<!-- solution:start -->

### 方法一
### 方法一:哈希表

我们可以用一个哈希表 $\textit{cnt}$ 来统计每个回答的出现次数。对于每一天的回答,我们先去重,然后将每个回答加入哈希表中,更新其出现次数。

最后,我们遍历哈希表,找到出现次数最多的回答。如果有多个回答出现次数相同,则返回字典序最小的那个回答。

时间复杂度 $O(L)$,空间复杂度 $O(L)$。其中 $L$ 是所有回答的总长度。

<!-- tabs:start -->

#### Python3

```python

class Solution:
def findCommonResponse(self, responses: List[List[str]]) -> str:
cnt = Counter()
for ws in responses:
for w in set(ws):
cnt[w] += 1
ans = responses[0][0]
for w, x in cnt.items():
if cnt[ans] < x or (cnt[ans] == x and w < ans):
ans = w
return ans
```

#### Java

```java

class Solution {
public String findCommonResponse(List<List<String>> responses) {
Map<String, Integer> cnt = new HashMap<>();
for (var ws : responses) {
Set<String> s = new HashSet<>();
for (var w : ws) {
if (s.add(w)) {
cnt.merge(w, 1, Integer::sum);
}
}
}
String ans = responses.get(0).get(0);
for (var e : cnt.entrySet()) {
String w = e.getKey();
int v = e.getValue();
if (cnt.get(ans) < v || (cnt.get(ans) == v && w.compareTo(ans) < 0)) {
ans = w;
}
}
return ans;
}
}
```

#### C++

```cpp

class Solution {
public:
string findCommonResponse(vector<vector<string>>& responses) {
unordered_map<string, int> cnt;
for (const auto& ws : responses) {
unordered_set<string> s;
for (const auto& w : ws) {
if (s.insert(w).second) {
++cnt[w];
}
}
}
string ans = responses[0][0];
for (const auto& e : cnt) {
const string& w = e.first;
int v = e.second;
if (cnt[ans] < v || (cnt[ans] == v && w < ans)) {
ans = w;
}
}
return ans;
}
};
```

#### Go

```go
func findCommonResponse(responses [][]string) string {
cnt := map[string]int{}
for _, ws := range responses {
s := map[string]struct{}{}
for _, w := range ws {
if _, ok := s[w]; !ok {
s[w] = struct{}{}
cnt[w]++
}
}
}
ans := responses[0][0]
for w, v := range cnt {
if cnt[ans] < v || (cnt[ans] == v && w < ans) {
ans = w
}
}
return ans
}
```

#### TypeScript

```ts
function findCommonResponse(responses: string[][]): string {
const cnt = new Map<string, number>();
for (const ws of responses) {
const s = new Set<string>();
for (const w of ws) {
if (!s.has(w)) {
s.add(w);
cnt.set(w, (cnt.get(w) ?? 0) + 1);
}
}
}
let ans = responses[0][0];
for (const [w, v] of cnt) {
const best = cnt.get(ans)!;
if (best < v || (best === v && w < ans)) {
ans = w;
}
}
return ans;
}
```

<!-- tabs:end -->
Expand Down
110 changes: 106 additions & 4 deletions solution/3500-3599/3527.Find the Most Common Response/README_EN.md
Original file line number Diff line number Diff line change
Expand Up @@ -72,32 +72,134 @@ tags:

<!-- solution:start -->

### Solution 1
### Solution 1: Hash Table

We can use a hash table $\textit{cnt}$ to count the occurrences of each response. For the responses of each day, we first remove duplicates, then add each response to the hash table and update its count.

Finally, we iterate through the hash table to find the response with the highest count. If there are multiple responses with the same count, we return the lexicographically smallest one.

The complexity is $O(L)$, and the space complexity is $O(L)$, where $L$ is the total length of all responses.

<!-- tabs:start -->

#### Python3

```python

class Solution:
def findCommonResponse(self, responses: List[List[str]]) -> str:
cnt = Counter()
for ws in responses:
for w in set(ws):
cnt[w] += 1
ans = responses[0][0]
for w, x in cnt.items():
if cnt[ans] < x or (cnt[ans] == x and w < ans):
ans = w
return ans
```

#### Java

```java

class Solution {
public String findCommonResponse(List<List<String>> responses) {
Map<String, Integer> cnt = new HashMap<>();
for (var ws : responses) {
Set<String> s = new HashSet<>();
for (var w : ws) {
if (s.add(w)) {
cnt.merge(w, 1, Integer::sum);
}
}
}
String ans = responses.get(0).get(0);
for (var e : cnt.entrySet()) {
String w = e.getKey();
int v = e.getValue();
if (cnt.get(ans) < v || (cnt.get(ans) == v && w.compareTo(ans) < 0)) {
ans = w;
}
}
return ans;
}
}
```

#### C++

```cpp

class Solution {
public:
string findCommonResponse(vector<vector<string>>& responses) {
unordered_map<string, int> cnt;
for (const auto& ws : responses) {
unordered_set<string> s;
for (const auto& w : ws) {
if (s.insert(w).second) {
++cnt[w];
}
}
}
string ans = responses[0][0];
for (const auto& e : cnt) {
const string& w = e.first;
int v = e.second;
if (cnt[ans] < v || (cnt[ans] == v && w < ans)) {
ans = w;
}
}
return ans;
}
};
```

#### Go

```go
func findCommonResponse(responses [][]string) string {
cnt := map[string]int{}
for _, ws := range responses {
s := map[string]struct{}{}
for _, w := range ws {
if _, ok := s[w]; !ok {
s[w] = struct{}{}
cnt[w]++
}
}
}
ans := responses[0][0]
for w, v := range cnt {
if cnt[ans] < v || (cnt[ans] == v && w < ans) {
ans = w
}
}
return ans
}
```

#### TypeScript

```ts
function findCommonResponse(responses: string[][]): string {
const cnt = new Map<string, number>();
for (const ws of responses) {
const s = new Set<string>();
for (const w of ws) {
if (!s.has(w)) {
s.add(w);
cnt.set(w, (cnt.get(w) ?? 0) + 1);
}
}
}
let ans = responses[0][0];
for (const [w, v] of cnt) {
const best = cnt.get(ans)!;
if (best < v || (best === v && w < ans)) {
ans = w;
}
}
return ans;
}
```

<!-- tabs:end -->
Expand Down
23 changes: 23 additions & 0 deletions solution/3500-3599/3527.Find the Most Common Response/Solution.cpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,23 @@
class Solution {
public:
string findCommonResponse(vector<vector<string>>& responses) {
unordered_map<string, int> cnt;
for (const auto& ws : responses) {
unordered_set<string> s;
for (const auto& w : ws) {
if (s.insert(w).second) {
++cnt[w];
}
}
}
string ans = responses[0][0];
for (const auto& e : cnt) {
const string& w = e.first;
int v = e.second;
if (cnt[ans] < v || (cnt[ans] == v && w < ans)) {
ans = w;
}
}
return ans;
}
};
19 changes: 19 additions & 0 deletions solution/3500-3599/3527.Find the Most Common Response/Solution.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,19 @@
func findCommonResponse(responses [][]string) string {
cnt := map[string]int{}
for _, ws := range responses {
s := map[string]struct{}{}
for _, w := range ws {
if _, ok := s[w]; !ok {
s[w] = struct{}{}
cnt[w]++
}
}
}
ans := responses[0][0]
for w, v := range cnt {
if cnt[ans] < v || (cnt[ans] == v && w < ans) {
ans = w
}
}
return ans
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,22 @@
class Solution {
public String findCommonResponse(List<List<String>> responses) {
Map<String, Integer> cnt = new HashMap<>();
for (var ws : responses) {
Set<String> s = new HashSet<>();
for (var w : ws) {
if (s.add(w)) {
cnt.merge(w, 1, Integer::sum);
}
}
}
String ans = responses.get(0).get(0);
for (var e : cnt.entrySet()) {
String w = e.getKey();
int v = e.getValue();
if (cnt.get(ans) < v || (cnt.get(ans) == v && w.compareTo(ans) < 0)) {
ans = w;
}
}
return ans;
}
}
11 changes: 11 additions & 0 deletions solution/3500-3599/3527.Find the Most Common Response/Solution.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,11 @@
class Solution:
def findCommonResponse(self, responses: List[List[str]]) -> str:
cnt = Counter()
for ws in responses:
for w in set(ws):
cnt[w] += 1
ans = responses[0][0]
for w, x in cnt.items():
if cnt[ans] < x or (cnt[ans] == x and w < ans):
ans = w
return ans
20 changes: 20 additions & 0 deletions solution/3500-3599/3527.Find the Most Common Response/Solution.ts
Original file line number Diff line number Diff line change
@@ -0,0 +1,20 @@
function findCommonResponse(responses: string[][]): string {
const cnt = new Map<string, number>();
for (const ws of responses) {
const s = new Set<string>();
for (const w of ws) {
if (!s.has(w)) {
s.add(w);
cnt.set(w, (cnt.get(w) ?? 0) + 1);
}
}
}
let ans = responses[0][0];
for (const [w, v] of cnt) {
const best = cnt.get(ans)!;
if (best < v || (best === v && w < ans)) {
ans = w;
}
}
return ans;
}