hello-algo/en/codes/go/chapter_dynamic_programming/edit_distance.go

130 lines
3.5 KiB
Go

// File: edit_distance.go
// Created Time: 2023-07-23
// Author: Reanon (793584285@qq.com)
package chapter_dynamic_programming
/* Edit distance: Brute force search */
func editDistanceDFS(s string, t string, i int, j int) int {
// If both s and t are empty, return 0
if i == 0 && j == 0 {
return 0
}
// If s is empty, return the length of t
if i == 0 {
return j
}
// If t is empty, return the length of s
if j == 0 {
return i
}
// If the two characters are equal, skip these two characters
if s[i-1] == t[j-1] {
return editDistanceDFS(s, t, i-1, j-1)
}
// The minimum number of edits = the minimum number of edits from three operations (insert, remove, replace) + 1
insert := editDistanceDFS(s, t, i, j-1)
deleted := editDistanceDFS(s, t, i-1, j)
replace := editDistanceDFS(s, t, i-1, j-1)
// Return the minimum number of edits
return MinInt(MinInt(insert, deleted), replace) + 1
}
/* Edit distance: Memoized search */
func editDistanceDFSMem(s string, t string, mem [][]int, i int, j int) int {
// If both s and t are empty, return 0
if i == 0 && j == 0 {
return 0
}
// If s is empty, return the length of t
if i == 0 {
return j
}
// If t is empty, return the length of s
if j == 0 {
return i
}
// If there is a record, return it
if mem[i][j] != -1 {
return mem[i][j]
}
// If the two characters are equal, skip these two characters
if s[i-1] == t[j-1] {
return editDistanceDFSMem(s, t, mem, i-1, j-1)
}
// The minimum number of edits = the minimum number of edits from three operations (insert, remove, replace) + 1
insert := editDistanceDFSMem(s, t, mem, i, j-1)
deleted := editDistanceDFSMem(s, t, mem, i-1, j)
replace := editDistanceDFSMem(s, t, mem, i-1, j-1)
// Record and return the minimum number of edits
mem[i][j] = MinInt(MinInt(insert, deleted), replace) + 1
return mem[i][j]
}
/* Edit distance: Dynamic programming */
func editDistanceDP(s string, t string) int {
n := len(s)
m := len(t)
dp := make([][]int, n+1)
for i := 0; i <= n; i++ {
dp[i] = make([]int, m+1)
}
// State transition: first row and first column
for i := 1; i <= n; i++ {
dp[i][0] = i
}
for j := 1; j <= m; j++ {
dp[0][j] = j
}
// State transition: the rest of the rows and columns
for i := 1; i <= n; i++ {
for j := 1; j <= m; j++ {
if s[i-1] == t[j-1] {
// If the two characters are equal, skip these two characters
dp[i][j] = dp[i-1][j-1]
} else {
// The minimum number of edits = the minimum number of edits from three operations (insert, remove, replace) + 1
dp[i][j] = MinInt(MinInt(dp[i][j-1], dp[i-1][j]), dp[i-1][j-1]) + 1
}
}
}
return dp[n][m]
}
/* Edit distance: Space-optimized dynamic programming */
func editDistanceDPComp(s string, t string) int {
n := len(s)
m := len(t)
dp := make([]int, m+1)
// State transition: first row
for j := 1; j <= m; j++ {
dp[j] = j
}
// State transition: the rest of the rows
for i := 1; i <= n; i++ {
// State transition: first column
leftUp := dp[0] // Temporarily store dp[i-1, j-1]
dp[0] = i
// State transition: the rest of the columns
for j := 1; j <= m; j++ {
temp := dp[j]
if s[i-1] == t[j-1] {
// If the two characters are equal, skip these two characters
dp[j] = leftUp
} else {
// The minimum number of edits = the minimum number of edits from three operations (insert, remove, replace) + 1
dp[j] = MinInt(MinInt(dp[j-1], dp[j]), leftUp) + 1
}
leftUp = temp // Update for the next round of dp[i-1, j-1]
}
}
return dp[m]
}
func MinInt(a, b int) int {
if a < b {
return a
}
return b
}