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use std::cmp::min;
pub fn levenshtein_distance(a: &str, b: &str) -> usize {
let a_chars: Vec<char> = a.chars().collect();
let b_chars: Vec<char> = b.chars().collect();
let a_len = a_chars.len();
let b_len = b_chars.len();
if a_len == 0 {
return b_len;
}
if b_len == 0 {
return a_len;
}
let mut dp = vec![vec![0; b_len + 1]; a_len + 1];
for (i, row) in dp.iter_mut().enumerate() {
row[0] = i;
}
for (j, cell) in dp[0].iter_mut().enumerate() {
*cell = j;
}
for (i, a_char) in a_chars.iter().enumerate() {
for (j, b_char) in b_chars.iter().enumerate() {
let cost = if a_char == b_char { 0 } else { 1 };
dp[i + 1][j + 1] = min(dp[i][j + 1] + 1, min(dp[i + 1][j] + 1, dp[i][j] + cost));
}
}
dp[a_len][b_len]
}
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