/** * File: edit_distance.swift * Created Time: 2023-07-16 * Author: nuomi1 (nuomi1@qq.com) */ /* 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.utf8CString[i - 1] == t.utf8CString[j - 1] { return editDistanceDFS(s: s, t: t, i: i - 1, j: j - 1) } // The minimum number of edits = the minimum number of edits from three operations (insert, remove, replace) + 1 let insert = editDistanceDFS(s: s, t: t, i: i, j: j - 1) let delete = editDistanceDFS(s: s, t: t, i: i - 1, j: j) let replace = editDistanceDFS(s: s, t: t, i: i - 1, j: j - 1) // Return the minimum number of edits return min(min(insert, delete), replace) + 1 } /* Edit distance: Memoized search */ func editDistanceDFSMem(s: String, t: String, mem: inout [[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.utf8CString[i - 1] == t.utf8CString[j - 1] { return editDistanceDFS(s: s, t: t, i: i - 1, j: j - 1) } // The minimum number of edits = the minimum number of edits from three operations (insert, remove, replace) + 1 let insert = editDistanceDFS(s: s, t: t, i: i, j: j - 1) let delete = editDistanceDFS(s: s, t: t, i: i - 1, j: j) let replace = editDistanceDFS(s: s, t: t, i: i - 1, j: j - 1) // Record and return the minimum number of edits mem[i][j] = min(min(insert, delete), replace) + 1 return mem[i][j] } /* Edit distance: Dynamic programming */ func editDistanceDP(s: String, t: String) -> Int { let n = s.utf8CString.count let m = t.utf8CString.count var dp = Array(repeating: Array(repeating: 0, count: m + 1), count: n + 1) // State transition: first row and first column for i in 1 ... n { dp[i][0] = i } for j in 1 ... m { dp[0][j] = j } // State transition: the rest of the rows and columns for i in 1 ... n { for j in 1 ... m { if s.utf8CString[i - 1] == t.utf8CString[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] = min(min(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 { let n = s.utf8CString.count let m = t.utf8CString.count var dp = Array(repeating: 0, count: m + 1) // State transition: first row for j in 1 ... m { dp[j] = j } // State transition: the rest of the rows for i in 1 ... n { // State transition: first column var leftup = dp[0] // Temporarily store dp[i-1, j-1] dp[0] = i // State transition: the rest of the columns for j in 1 ... m { let temp = dp[j] if s.utf8CString[i - 1] == t.utf8CString[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] = min(min(dp[j - 1], dp[j]), leftup) + 1 } leftup = temp // Update for the next round of dp[i-1, j-1] } } return dp[m] } @main enum EditDistance { /* Driver Code */ static func main() { let s = "bag" let t = "pack" let n = s.utf8CString.count let m = t.utf8CString.count // Brute force search var res = editDistanceDFS(s: s, t: t, i: n, j: m) print("Minimum number of edits required to change \(s) to \(t) = \(res)") // Memoized search var mem = Array(repeating: Array(repeating: -1, count: m + 1), count: n + 1) res = editDistanceDFSMem(s: s, t: t, mem: &mem, i: n, j: m) print("Minimum number of edits required to change \(s) to \(t) = \(res)") // Dynamic programming res = editDistanceDP(s: s, t: t) print("Minimum number of edits required to change \(s) to \(t) = \(res)") // Space-optimized dynamic programming res = editDistanceDPComp(s: s, t: t) print("Minimum number of edits required to change \(s) to \(t) = \(res)") } }