Question: #include #include #include #include #include using namespace std; / / Function to find the length of the longest overlap where the suffix of w 1

#include
#include
#include
#include
#include
using namespace std;
// Function to find the length of the longest overlap where the suffix of w1 matches the prefix of w2
int find_overlap(const string& w1, const string& w2){
int max_overlap =0;
int min_len = min(w1.size(), w2.size());
for (int i =1; i <= min_len; i++){
if (w1.substr(w1.size()- i)== w2.substr(0, i)){
max_overlap = i;
}
}
return max_overlap;
}
// Recursive function to perform depth-first search to build the best WordSnake
void dfs(const string& current_word, const vector& words, set& visited, int score,
vector& path, vector& best_path, int& best_score){
if (score > best_score){
best_score = score;
best_path = path;
}
for (int i =0; i < words.size(); ++i){
if (visited.find(i)== visited.end()){
int overlap_len = find_overlap(current_word, words[i]);
if (overlap_len >1){
visited.insert(i);
path.push_back(words[i]);
dfs(words[i], words, visited, score + overlap_len * overlap_len, path, best_path, best_score);
path.pop_back();
visited.erase(i);
}
}
}
}
// Function to build the best possible WordSnake given a list of words
pair> build_wordsnake(const vector& words){
vector best_path;
int best_score =0;
for (int i =0; i < words.size(); ++i){
set visited;
visited.insert(i);
vector path ={ words[i]};
dfs(words[i], words, visited, 0, path, best_path, best_score);
}
return {best_score, best_path};
}
int main(){
int n;
cin >> n; // Read the number of words
vector words(n);
for (int i =0; i < n; ++i){
cin >> words[i]; // Read the words
}
// Find the best WordSnake
pair> result = build_wordsnake(words);
// Output the results
cout << result.first << endl;
for (const string& word : result.second){
cout << word << endl;
}
return 0;
}
For the code above please write an anlysis report with the following instructions:
Analysis Report Structure
Analytical
Summary of analytical and empirical results.
Performance critical code section(s)
Compress trivial code segments to better present the critical code control structure. This is typically found in the main() method, or one level of abstraction beneath.
Step count analysis of each critical section.
Space analysis of each critical section.
Determine overall space and time complexity.
Predict runtime performance
Empirical
Describe test plan and rational for test data sets
Graph runtime performance with trend line
Determine program limitations given 3 second time constraint and 256MB working space.

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