72. 编辑距离

src/main.rs

@@ -1,25 +1,29 @@
 mod arr;
 struct Solution {}
 impl Solution {
-    pub fn find_kth_largest(nums: Vec<i32>, k: i32) -> i32 {
+    pub fn min_distance(word1: String, word2: String) -> i32 {
-        let up = 10000;
+        let mut dp = vec![vec![0; word2.len() + 1]; word1.len() + 1];
-        let mut k = k;
+        let word1 = word1.chars().collect::<Vec<char>>();
-        let mut cap = vec![0; up * 2 + 1];
+        let word2 = word2.chars().collect::<Vec<char>>();
-        for x in nums {
+        for i in 1..=word1.len() {
-            cap[x as usize + up] += 1;
+            dp[i][0] = dp[i - 1][0] + 1;
         }
-        for i in (0..2 * up + 1).rev() {
+        for i in 1..=word2.len() {
-            if k <= cap[i] {
+            dp[0][i] = dp[0][i - 1] + 1;
-                return (i - up) as i32;
+        }
+        for i in 0..word1.len() {
+            for j in 0..word2.len() {
+                dp[i + 1][j + 1] = (dp[i][j] + if word1[i] != word2[j] { 1 } else { 0 })
+                    .min(dp[i][j + 1] + 1)
+                    .min(dp[i + 1][j] + 1);
             }
-            k -= cap[i];
         }
-        0
+        dp[word1.len()][word2.len()]
     }
 }
 fn main() {
     println!(
         "{:?}",
-        Solution::find_kth_largest(vec![3, 2, 3, 1, 2, 4, 5, 5, 6], 4)
+        Solution::min_distance("intention".to_string(), "execution".to_string())
     );
 }