Files
hello-algo/en/codes/rust/chapter_dynamic_programming/edit_distance.rs
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

146 lines
5.0 KiB
Rust

/*
* File: edit_distance.rs
* Created Time: 2023-07-09
* Author: codingonion (coderonion@gmail.com)
*/
/* Edit distance: brute-force search */
fn edit_distance_dfs(s: &str, t: &str, i: usize, j: usize) -> i32 {
// If both prefixes are empty, return 0
if i == 0 && j == 0 {
return 0;
}
// If the prefix of s is empty, return the length j of the prefix of t
if i == 0 {
return j as i32;
}
// If the prefix of t is empty, return the length i of the prefix of s
if j == 0 {
return i as i32;
}
// If the two characters are equal, skip both of them
if s.chars().nth(i - 1) == t.chars().nth(j - 1) {
return edit_distance_dfs(s, t, i - 1, j - 1);
}
// Minimum edits = the minimum among the insertion, deletion, and replacement subproblems + 1
let insert = edit_distance_dfs(s, t, i, j - 1);
let delete = edit_distance_dfs(s, t, i - 1, j);
let replace = edit_distance_dfs(s, t, i - 1, j - 1);
// Return the minimum number of edits
std::cmp::min(std::cmp::min(insert, delete), replace) + 1
}
/* Edit distance: memoized search */
fn edit_distance_dfs_mem(s: &str, t: &str, mem: &mut Vec<Vec<i32>>, i: usize, j: usize) -> i32 {
// If both prefixes are empty, return 0
if i == 0 && j == 0 {
return 0;
}
// If the prefix of s is empty, return the length j of the prefix of t
if i == 0 {
return j as i32;
}
// If the prefix of t is empty, return the length i of the prefix of s
if j == 0 {
return i as i32;
}
// If a result has already been recorded, return it directly
if mem[i][j] != -1 {
return mem[i][j];
}
// If the two characters are equal, skip both of them
if s.chars().nth(i - 1) == t.chars().nth(j - 1) {
return edit_distance_dfs_mem(s, t, mem, i - 1, j - 1);
}
// Minimum edits = the minimum among the insertion, deletion, and replacement subproblems + 1
let insert = edit_distance_dfs_mem(s, t, mem, i, j - 1);
let delete = edit_distance_dfs_mem(s, t, mem, i - 1, j);
let replace = edit_distance_dfs_mem(s, t, mem, i - 1, j - 1);
// Record and return the minimum number of edits
mem[i][j] = std::cmp::min(std::cmp::min(insert, delete), replace) + 1;
mem[i][j]
}
/* Edit distance: dynamic programming */
fn edit_distance_dp(s: &str, t: &str) -> i32 {
let (n, m) = (s.len(), t.len());
let mut dp = vec![vec![0; m + 1]; n + 1];
// State transitions: first row and first column
for i in 1..=n {
dp[i][0] = i as i32;
}
for j in 1..m {
dp[0][j] = j as i32;
}
// State transitions: remaining rows and columns
for i in 1..=n {
for j in 1..=m {
if s.chars().nth(i - 1) == t.chars().nth(j - 1) {
// If the two characters are equal, skip both of them
dp[i][j] = dp[i - 1][j - 1];
} else {
// Minimum edits = the minimum among the insertion, deletion, and replacement subproblems + 1
dp[i][j] =
std::cmp::min(std::cmp::min(dp[i][j - 1], dp[i - 1][j]), dp[i - 1][j - 1]) + 1;
}
}
}
dp[n][m]
}
/* Edit distance: space-optimized dynamic programming */
fn edit_distance_dp_comp(s: &str, t: &str) -> i32 {
let (n, m) = (s.len(), t.len());
let mut dp = vec![0; m + 1];
// State transitions: first row
for j in 1..m {
dp[j] = j as i32;
}
// State transitions: remaining rows
for i in 1..=n {
// State transitions: first column
let mut leftup = dp[0]; // Temporarily store dp[i-1, j-1]
dp[0] = i as i32;
// State transitions: remaining columns
for j in 1..=m {
let temp = dp[j];
if s.chars().nth(i - 1) == t.chars().nth(j - 1) {
// If the two characters are equal, skip both of them
dp[j] = leftup;
} else {
// Minimum edits = the minimum among the insertion, deletion, and replacement subproblems + 1
dp[j] = std::cmp::min(std::cmp::min(dp[j - 1], dp[j]), leftup) + 1;
}
leftup = temp; // Update to dp[i-1, j-1] for the next iteration
}
}
dp[m]
}
/* Driver code */
pub fn main() {
let s = "bag";
let t = "pack";
let (n, m) = (s.len(), t.len());
// Brute-force search
let res = edit_distance_dfs(s, t, n, m);
println!("Changing {s} to {t} requires at least {res} edits");
// Memoized search
let mut mem = vec![vec![0; m + 1]; n + 1];
for row in mem.iter_mut() {
row.fill(-1);
}
let res = edit_distance_dfs_mem(s, t, &mut mem, n, m);
println!("Changing {s} to {t} requires at least {res} edits");
// Dynamic programming
let res = edit_distance_dp(s, t);
println!("Changing {s} to {t} requires at least {res} edits");
// Space-optimized dynamic programming
let res = edit_distance_dp_comp(s, t);
println!("Changing {s} to {t} requires at least {res} edits");
}