Imbus/labs-edaf30
1
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Formatting

Browse source
This commit is contained in:
Imbus 2024-11-21 08:49:45 +01:00
parent d10300509e
commit 70170ea995
2 changed files with 15 additions and 16 deletions
Download patch file Download diff file Expand all files Collapse all files

12
lab2/edit_distance.cc
View file

@ -1,14 +1,13 @@
#include <iostream>
#include <vector>
#include <string>
#include <algorithm> #include <algorithm>
#include <string>
#include <vector>
int edit_distance(const std::string &s1, const std::string &s2) { int edit_distance(const std::string &s1, const std::string &s2) {
size_t m = s1.size(); size_t m = s1.size();
size_t n = s2.size(); size_t n = s2.size();
// Create a 2D DP table // Create a 2D DP table
std::vector<std::vector<int>> dp(m + 1, std::vector<int>(n + 1)); std::vector<std::vector<size_t>> dp(m + 1, std::vector<size_t>(n + 1));
// Fill the base cases // Fill the base cases
for (size_t i = 0; i <= m; ++i) for (size_t i = 0; i <= m; ++i)
@ -23,7 +22,8 @@ int edit_distance(const std::string& s1, const std::string& s2) {
if (s1[i - 1] == s2[j - 1]) { if (s1[i - 1] == s2[j - 1]) {
dp[i][j] = dp[i - 1][j - 1]; // No operation needed dp[i][j] = dp[i - 1][j - 1]; // No operation needed
} else { } else {
dp[i][j] = 1 + std::min({dp[i - 1][j], // Deletion dp[i][j] = 1 + std::min({
dp[i - 1][j], // Deletion
dp[i][j - 1], // Insertion dp[i][j - 1], // Insertion
dp[i - 1][j - 1] // Substitution dp[i - 1][j - 1] // Substitution
}); });
@ -31,5 +31,5 @@ int edit_distance(const std::string& s1, const std::string& s2) {
} }
} }
return dp[m][n]; return static_cast<int>(dp[m][n]);
} }

9
lab2/edit_distance.h
View file

@ -1,15 +1,14 @@
#include <algorithm>
#include <iostream>
#include <string> #include <string>
#include <vector>
/** /**
* @brief Computes the edit distance (Levenshtein distance) between two strings. * @brief Computes the edit distance (Levenshtein distance) between two strings.
* *
* The edit distance is defined as the minimum number of single-character edits * The edit distance is defined as the minimum number of single-character edits
* (insertions, deletions, or substitutions) required to transform one string into the other. * (insertions, deletions, or substitutions) required to transform one string
* into the other.
* *
* This implementation uses dynamic programming to compute the distance efficiently. * This implementation uses dynamic programming to compute the distance
* efficiently.
* *
* @param s1 The first string. * @param s1 The first string.
* @param s2 The second string. * @param s2 The second string.