Cover image for Classic Interview 150 Questions P30 Substring with Concatenation of All Words

Classic Interview 150 Questions P30 Substring with Concatenation of All Words


Timeline

Timeline

2025-11-13

init

Sliding Window

Problem:

Note that starting from the first letter of s and starting from the second letter are different, so the sliding window algorithm should run words[0].size times.

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#include <vector>
#include <unordered_map>
#include <string>

using std::string;
using std::unordered_map;
using std::vector;

class Solution {
public:
vector<int> findSubstring(string s, vector<string> &words)
{
vector<int> result;
if (s.empty() || words.empty())
return result;

int word_len = words[0].size();
int num_words = words.size();
int total_len = word_len * num_words;
int n = s.size();

unordered_map<string, int> word_count;
for (auto &w : words)
word_count[w]++;

for (int i = 0; i < word_len; ++i) { // 0..word_len to prevent missing
int left = i, right = i;
unordered_map<string, int> curr_count;

while (right + word_len <= n) {
string word = s.substr(right, word_len);
right += word_len;
if (word_count.count(word)) {
curr_count[word]++;
// If a word appears more times than required, the left window needs to be shrunk.
while (curr_count[word] > word_count[word]) {
string left_word = s.substr(left, word_len);
curr_count[left_word]--;
left += word_len;
}
// Check if the window meets the total length.
if (right - left == total_len) {
result.push_back(left);
}
} else {
// Encounter a word not in words, reset the window.
curr_count.clear();
left = right;
}
}
}

return result;
}
};