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 w matches the prefix of w
int findoverlapconst string& w const string& w
int maxoverlap ;
int minlen minwsize wsize;
for int i ; i minlen; i
if wsubstrwsize i wsubstr i
maxoverlap i;
return maxoverlap;
Recursive function to perform depthfirst search to build the best WordSnake
void dfsconst string& currentword, const vector& words, set& visited, int score,
vector& path, vector& bestpath, int& bestscore
if score bestscore
bestscore score;
bestpath path;
for int i ; i words.size; i
if visitedfindi visited.end
int overlaplen findoverlapcurrentword, wordsi;
if overlaplen
visited.inserti;
path.pushbackwordsi;
dfswordsi words, visited, score overlaplen overlaplen, path, bestpath, bestscore;
path.popback;
visited.erasei;
Function to build the best possible WordSnake given a list of words
pair buildwordsnakeconst vector& words
vector bestpath;
int bestscore ;
for int i ; i words.size; i
set visited;
visited.inserti;
vector path wordsi;
dfswordsi words, visited, path, bestpath, bestscore;
return bestscore, bestpath;
int main
int n;
cin n; Read the number of words
vector wordsn;
for int i ; i n; i
cin wordsi; Read the words
Find the best WordSnake
pair result buildwordsnakewords;
Output the results
cout result.first endl;
for const string& word : result.second
cout word endl;
return ;
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 sections
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 second time constraint and MB working space.
Step by Step Solution
There are 3 Steps involved in it
1 Expert Approved Answer
Step: 1 Unlock
Question Has Been Solved by an Expert!
Get step-by-step solutions from verified subject matter experts
Step: 2 Unlock
Step: 3 Unlock
