Below is the implementation of the scramble string:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119/** * Determine if s2 is a scrambled string of s1. * @param {string} s1 - The first string * @param {string} s2 - The second string * @return {boolean} - True if s2 is a scrambled string of s1, otherwise false */function isScramble(s1, s2) { // Base cases if (s1 === s2) return true; if (s1.length !== s2.length) return false; // Check if the strings have the same character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) return false; // Create a memoization map const memo = new Map(); function isScrambleHelper(s1, s2) { // Create a key for the memoization map const key = s1 + '|' + s2; // Check if we've already computed this result if (memo.has(key)) return memo.get(key); // Base case if (s1 === s2) { memo.set(key, true); return true; } // Check character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) { memo.set(key, false); return false; } const n = s1.length; // Try all possible split positions for (let i = 1; i < n; i++) { // Check if we can get s2 by keeping the order of substrings if (isScrambleHelper(s1.substring(0, i), s2.substring(0, i)) && isScrambleHelper(s1.substring(i), s2.substring(i))) { memo.set(key, true); return true; } // Check if we can get s2 by swapping the substrings if (isScrambleHelper(s1.substring(0, i), s2.substring(n - i)) && isScrambleHelper(s1.substring(i), s2.substring(0, n - i))) { memo.set(key, true); return true; } } memo.set(key, false); return false; } return isScrambleHelper(s1, s2);} // Dynamic Programming Approachfunction isScrambleDP(s1, s2) { // Base cases if (s1 === s2) return true; if (s1.length !== s2.length) return false; // Check if the strings have the same character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) return false; const n = s1.length; // Create a 3D DP array const dp = Array(n).fill().map(() => Array(n).fill().map(() => Array(n + 1).fill(false) ) ); // Base case: substrings of length 1 for (let i = 0; i < n; i++) { for (let j = 0; j < n; j++) { dp[i][j][1] = s1[i] === s2[j]; } } // Fill the DP array for substrings of length 2 to n for (let length = 2; length <= n; length++) { for (let i = 0; i <= n - length; i++) { for (let j = 0; j <= n - length; j++) { for (let k = 1; k < length; k++) { // Check if we can get s2 by keeping the order of substrings if (dp[i][j][k] && dp[i + k][j + k][length - k]) { dp[i][j][length] = true; break; } // Check if we can get s2 by swapping the substrings if (dp[i][j + length - k][k] && dp[i + k][j][length - k]) { dp[i][j][length] = true; break; } } } } } return dp[0][0][n];} // Test casesconsole.log(isScramble("great", "rgeat")); // Output: trueconsole.log(isScramble("abcde", "caebd")); // Output: falseconsole.log(isScramble("a", "a")); // Output: true console.log(isScrambleDP("great", "rgeat")); // Output: trueconsole.log(isScrambleDP("abcde", "caebd")); // Output: falseconsole.log(isScrambleDP("a", "a")); // Output: true
Let's break down the implementation:
Implement the scramble string solution in different programming languages.
Below is the implementation of the scramble string in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119/** * Determine if s2 is a scrambled string of s1. * @param {string} s1 - The first string * @param {string} s2 - The second string * @return {boolean} - True if s2 is a scrambled string of s1, otherwise false */function isScramble(s1, s2) { // Base cases if (s1 === s2) return true; if (s1.length !== s2.length) return false; // Check if the strings have the same character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) return false; // Create a memoization map const memo = new Map(); function isScrambleHelper(s1, s2) { // Create a key for the memoization map const key = s1 + '|' + s2; // Check if we've already computed this result if (memo.has(key)) return memo.get(key); // Base case if (s1 === s2) { memo.set(key, true); return true; } // Check character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) { memo.set(key, false); return false; } const n = s1.length; // Try all possible split positions for (let i = 1; i < n; i++) { // Check if we can get s2 by keeping the order of substrings if (isScrambleHelper(s1.substring(0, i), s2.substring(0, i)) && isScrambleHelper(s1.substring(i), s2.substring(i))) { memo.set(key, true); return true; } // Check if we can get s2 by swapping the substrings if (isScrambleHelper(s1.substring(0, i), s2.substring(n - i)) && isScrambleHelper(s1.substring(i), s2.substring(0, n - i))) { memo.set(key, true); return true; } } memo.set(key, false); return false; } return isScrambleHelper(s1, s2);} // Dynamic Programming Approachfunction isScrambleDP(s1, s2) { // Base cases if (s1 === s2) return true; if (s1.length !== s2.length) return false; // Check if the strings have the same character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) return false; const n = s1.length; // Create a 3D DP array const dp = Array(n).fill().map(() => Array(n).fill().map(() => Array(n + 1).fill(false) ) ); // Base case: substrings of length 1 for (let i = 0; i < n; i++) { for (let j = 0; j < n; j++) { dp[i][j][1] = s1[i] === s2[j]; } } // Fill the DP array for substrings of length 2 to n for (let length = 2; length <= n; length++) { for (let i = 0; i <= n - length; i++) { for (let j = 0; j <= n - length; j++) { for (let k = 1; k < length; k++) { // Check if we can get s2 by keeping the order of substrings if (dp[i][j][k] && dp[i + k][j + k][length - k]) { dp[i][j][length] = true; break; } // Check if we can get s2 by swapping the substrings if (dp[i][j + length - k][k] && dp[i + k][j][length - k]) { dp[i][j][length] = true; break; } } } } } return dp[0][0][n];} // Test casesconsole.log(isScramble("great", "rgeat")); // Output: trueconsole.log(isScramble("abcde", "caebd")); // Output: falseconsole.log(isScramble("a", "a")); // Output: true console.log(isScrambleDP("great", "rgeat")); // Output: trueconsole.log(isScrambleDP("abcde", "caebd")); // Output: falseconsole.log(isScrambleDP("a", "a")); // Output: true
First, understand that we need to determine if one string can be formed by scrambling another string according to specific rules.
Handle base cases: identical strings, different lengths, or strings with different character frequencies.
Implement a recursive solution that tries all possible ways to split and potentially swap the strings.
Add memoization to avoid redundant calculations in the recursive solution.
Implement a dynamic programming solution as an alternative approach.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the scramble string problem using a different approach than shown above.
Handle the case where both strings are single characters.
Handle the case where both strings have the same characters but in different orders.
Handle the case where the strings are at the maximum allowed length (30 characters).
Below is the implementation of the scramble string:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119/** * Determine if s2 is a scrambled string of s1. * @param {string} s1 - The first string * @param {string} s2 - The second string * @return {boolean} - True if s2 is a scrambled string of s1, otherwise false */function isScramble(s1, s2) { // Base cases if (s1 === s2) return true; if (s1.length !== s2.length) return false; // Check if the strings have the same character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) return false; // Create a memoization map const memo = new Map(); function isScrambleHelper(s1, s2) { // Create a key for the memoization map const key = s1 + '|' + s2; // Check if we've already computed this result if (memo.has(key)) return memo.get(key); // Base case if (s1 === s2) { memo.set(key, true); return true; } // Check character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) { memo.set(key, false); return false; } const n = s1.length; // Try all possible split positions for (let i = 1; i < n; i++) { // Check if we can get s2 by keeping the order of substrings if (isScrambleHelper(s1.substring(0, i), s2.substring(0, i)) && isScrambleHelper(s1.substring(i), s2.substring(i))) { memo.set(key, true); return true; } // Check if we can get s2 by swapping the substrings if (isScrambleHelper(s1.substring(0, i), s2.substring(n - i)) && isScrambleHelper(s1.substring(i), s2.substring(0, n - i))) { memo.set(key, true); return true; } } memo.set(key, false); return false; } return isScrambleHelper(s1, s2);} // Dynamic Programming Approachfunction isScrambleDP(s1, s2) { // Base cases if (s1 === s2) return true; if (s1.length !== s2.length) return false; // Check if the strings have the same character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) return false; const n = s1.length; // Create a 3D DP array const dp = Array(n).fill().map(() => Array(n).fill().map(() => Array(n + 1).fill(false) ) ); // Base case: substrings of length 1 for (let i = 0; i < n; i++) { for (let j = 0; j < n; j++) { dp[i][j][1] = s1[i] === s2[j]; } } // Fill the DP array for substrings of length 2 to n for (let length = 2; length <= n; length++) { for (let i = 0; i <= n - length; i++) { for (let j = 0; j <= n - length; j++) { for (let k = 1; k < length; k++) { // Check if we can get s2 by keeping the order of substrings if (dp[i][j][k] && dp[i + k][j + k][length - k]) { dp[i][j][length] = true; break; } // Check if we can get s2 by swapping the substrings if (dp[i][j + length - k][k] && dp[i + k][j][length - k]) { dp[i][j][length] = true; break; } } } } } return dp[0][0][n];} // Test casesconsole.log(isScramble("great", "rgeat")); // Output: trueconsole.log(isScramble("abcde", "caebd")); // Output: falseconsole.log(isScramble("a", "a")); // Output: true console.log(isScrambleDP("great", "rgeat")); // Output: trueconsole.log(isScrambleDP("abcde", "caebd")); // Output: falseconsole.log(isScrambleDP("a", "a")); // Output: true
Let's break down the implementation:
Implement the scramble string solution in different programming languages.
Below is the implementation of the scramble string in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119/** * Determine if s2 is a scrambled string of s1. * @param {string} s1 - The first string * @param {string} s2 - The second string * @return {boolean} - True if s2 is a scrambled string of s1, otherwise false */function isScramble(s1, s2) { // Base cases if (s1 === s2) return true; if (s1.length !== s2.length) return false; // Check if the strings have the same character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) return false; // Create a memoization map const memo = new Map(); function isScrambleHelper(s1, s2) { // Create a key for the memoization map const key = s1 + '|' + s2; // Check if we've already computed this result if (memo.has(key)) return memo.get(key); // Base case if (s1 === s2) { memo.set(key, true); return true; } // Check character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) { memo.set(key, false); return false; } const n = s1.length; // Try all possible split positions for (let i = 1; i < n; i++) { // Check if we can get s2 by keeping the order of substrings if (isScrambleHelper(s1.substring(0, i), s2.substring(0, i)) && isScrambleHelper(s1.substring(i), s2.substring(i))) { memo.set(key, true); return true; } // Check if we can get s2 by swapping the substrings if (isScrambleHelper(s1.substring(0, i), s2.substring(n - i)) && isScrambleHelper(s1.substring(i), s2.substring(0, n - i))) { memo.set(key, true); return true; } } memo.set(key, false); return false; } return isScrambleHelper(s1, s2);} // Dynamic Programming Approachfunction isScrambleDP(s1, s2) { // Base cases if (s1 === s2) return true; if (s1.length !== s2.length) return false; // Check if the strings have the same character frequencies if ([...s1].sort().join('') !== [...s2].sort().join('')) return false; const n = s1.length; // Create a 3D DP array const dp = Array(n).fill().map(() => Array(n).fill().map(() => Array(n + 1).fill(false) ) ); // Base case: substrings of length 1 for (let i = 0; i < n; i++) { for (let j = 0; j < n; j++) { dp[i][j][1] = s1[i] === s2[j]; } } // Fill the DP array for substrings of length 2 to n for (let length = 2; length <= n; length++) { for (let i = 0; i <= n - length; i++) { for (let j = 0; j <= n - length; j++) { for (let k = 1; k < length; k++) { // Check if we can get s2 by keeping the order of substrings if (dp[i][j][k] && dp[i + k][j + k][length - k]) { dp[i][j][length] = true; break; } // Check if we can get s2 by swapping the substrings if (dp[i][j + length - k][k] && dp[i + k][j][length - k]) { dp[i][j][length] = true; break; } } } } } return dp[0][0][n];} // Test casesconsole.log(isScramble("great", "rgeat")); // Output: trueconsole.log(isScramble("abcde", "caebd")); // Output: falseconsole.log(isScramble("a", "a")); // Output: true console.log(isScrambleDP("great", "rgeat")); // Output: trueconsole.log(isScrambleDP("abcde", "caebd")); // Output: falseconsole.log(isScrambleDP("a", "a")); // Output: true
First, understand that we need to determine if one string can be formed by scrambling another string according to specific rules.
Handle base cases: identical strings, different lengths, or strings with different character frequencies.
Implement a recursive solution that tries all possible ways to split and potentially swap the strings.
Add memoization to avoid redundant calculations in the recursive solution.
Implement a dynamic programming solution as an alternative approach.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the scramble string problem using a different approach than shown above.
Handle the case where both strings are single characters.
Handle the case where both strings have the same characters but in different orders.
Handle the case where the strings are at the maximum allowed length (30 characters).