Below is the implementation of the secret message decoder:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175/** * Recursive approach (brute force) * Time Complexity: O(2^n) - Exponential in worst case * Space Complexity: O(n) - Recursion stack * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsRecursive(s) { // Base case: empty string has 1 way to decode if (s.length === 0) { return 1; } // If the string starts with '0', it cannot be decoded if (s[0] === '0') { return 0; } // Initialize result let ways = 0; // Option 1: Take a single digit ways += numDecodingsRecursive(s.substring(1)); // Option 2: Take two digits if valid if (s.length >= 2) { const twoDigits = parseInt(s.substring(0, 2)); if (twoDigits >= 10 && twoDigits <= 26) { ways += numDecodingsRecursive(s.substring(2)); } } return ways;} /** * Memoization approach (top-down dynamic programming) * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(n) - For memoization and recursion stack * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsMemo(s) { const memo = new Map(); function decode(index) { // Base case: reached the end of the string if (index === s.length) { return 1; } // If already computed, return from memo if (memo.has(index)) { return memo.get(index); } // If current digit is '0', it cannot be decoded on its own if (s[index] === '0') { return 0; } // Option 1: Take a single digit let ways = decode(index + 1); // Option 2: Take two digits if valid if (index + 1 < s.length) { const twoDigits = parseInt(s.substring(index, index + 2)); if (twoDigits >= 10 && twoDigits <= 26) { ways += decode(index + 2); } } // Store result in memo memo.set(index, ways); return ways; } return decode(0);} /** * Tabulation approach (bottom-up dynamic programming) * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(n) - For the DP array * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsDP(s) { const n = s.length; // Edge case: empty string if (n === 0) return 0; // Create DP array const dp = new Array(n + 1).fill(0); // Base case: empty string has 1 way to decode dp[n] = 1; // Fill DP array from right to left for (let i = n - 1; i >= 0; i--) { // If current digit is '0', it cannot be decoded on its own if (s[i] === '0') { dp[i] = 0; } else { // Option 1: Take a single digit dp[i] = dp[i + 1]; // Option 2: Take two digits if valid if (i + 1 < n) { const twoDigits = parseInt(s.substring(i, i + 2)); if (twoDigits >= 10 && twoDigits <= 26) { dp[i] += dp[i + 2]; } } } } return dp[0];} /** * Optimized space complexity approach * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(1) - Constant extra space * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodings(s) { const n = s.length; // Edge case: empty string if (n === 0) return 0; // Initialize variables for DP[i+1] and DP[i+2] let dp1 = 1; // DP[n] let dp2 = 0; // Placeholder // Iterate from right to left for (let i = n - 1; i >= 0; i--) { // Initialize current DP value let current = 0; // If current digit is not '0', it can be decoded on its own if (s[i] !== '0') { current = dp1; } // Check if two digits can be decoded together if (i + 1 < n) { const twoDigits = parseInt(s.substring(i, i + 2)); if (twoDigits >= 10 && twoDigits <= 26) { current += dp2; } } // Update variables for next iteration dp2 = dp1; dp1 = current; } return dp1;} // Test casesconsole.log(numDecodings("12")); // 2console.log(numDecodings("226")); // 3console.log(numDecodings("06")); // 0console.log(numDecodings("10")); // 1console.log(numDecodings("27")); // 1console.log(numDecodings("2101")); // 1
Let's break down the implementation:
Implement the secret message decoder solution in different programming languages.
Below is the implementation of the secret message decoder in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175/** * Recursive approach (brute force) * Time Complexity: O(2^n) - Exponential in worst case * Space Complexity: O(n) - Recursion stack * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsRecursive(s) { // Base case: empty string has 1 way to decode if (s.length === 0) { return 1; } // If the string starts with '0', it cannot be decoded if (s[0] === '0') { return 0; } // Initialize result let ways = 0; // Option 1: Take a single digit ways += numDecodingsRecursive(s.substring(1)); // Option 2: Take two digits if valid if (s.length >= 2) { const twoDigits = parseInt(s.substring(0, 2)); if (twoDigits >= 10 && twoDigits <= 26) { ways += numDecodingsRecursive(s.substring(2)); } } return ways;} /** * Memoization approach (top-down dynamic programming) * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(n) - For memoization and recursion stack * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsMemo(s) { const memo = new Map(); function decode(index) { // Base case: reached the end of the string if (index === s.length) { return 1; } // If already computed, return from memo if (memo.has(index)) { return memo.get(index); } // If current digit is '0', it cannot be decoded on its own if (s[index] === '0') { return 0; } // Option 1: Take a single digit let ways = decode(index + 1); // Option 2: Take two digits if valid if (index + 1 < s.length) { const twoDigits = parseInt(s.substring(index, index + 2)); if (twoDigits >= 10 && twoDigits <= 26) { ways += decode(index + 2); } } // Store result in memo memo.set(index, ways); return ways; } return decode(0);} /** * Tabulation approach (bottom-up dynamic programming) * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(n) - For the DP array * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsDP(s) { const n = s.length; // Edge case: empty string if (n === 0) return 0; // Create DP array const dp = new Array(n + 1).fill(0); // Base case: empty string has 1 way to decode dp[n] = 1; // Fill DP array from right to left for (let i = n - 1; i >= 0; i--) { // If current digit is '0', it cannot be decoded on its own if (s[i] === '0') { dp[i] = 0; } else { // Option 1: Take a single digit dp[i] = dp[i + 1]; // Option 2: Take two digits if valid if (i + 1 < n) { const twoDigits = parseInt(s.substring(i, i + 2)); if (twoDigits >= 10 && twoDigits <= 26) { dp[i] += dp[i + 2]; } } } } return dp[0];} /** * Optimized space complexity approach * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(1) - Constant extra space * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodings(s) { const n = s.length; // Edge case: empty string if (n === 0) return 0; // Initialize variables for DP[i+1] and DP[i+2] let dp1 = 1; // DP[n] let dp2 = 0; // Placeholder // Iterate from right to left for (let i = n - 1; i >= 0; i--) { // Initialize current DP value let current = 0; // If current digit is not '0', it can be decoded on its own if (s[i] !== '0') { current = dp1; } // Check if two digits can be decoded together if (i + 1 < n) { const twoDigits = parseInt(s.substring(i, i + 2)); if (twoDigits >= 10 && twoDigits <= 26) { current += dp2; } } // Update variables for next iteration dp2 = dp1; dp1 = current; } return dp1;} // Test casesconsole.log(numDecodings("12")); // 2console.log(numDecodings("226")); // 3console.log(numDecodings("06")); // 0console.log(numDecodings("10")); // 1console.log(numDecodings("27")); // 1console.log(numDecodings("2101")); // 1
First, understand that we need to count the number of ways to decode a string of digits into letters, where 'A'=1, 'B'=2, ..., 'Z'=26.
Recognize that at each position, we have at most two choices: decode a single digit or decode two digits together (if valid).
Pay special attention to '0' digits, which cannot be decoded on their own and must be part of a valid two-digit number (10 or 20).
Start with a recursive solution to understand the problem better, exploring all possible ways to decode the string.
Notice that the recursive solution has overlapping subproblems. Use memoization to avoid redundant calculations.
Transform the recursive solution into an iterative one using a bottom-up dynamic programming approach.
Observe that we only need the last two DP values at any point, allowing us to reduce the space complexity from O(n) to O(1).
Verify the solution with different test cases, including edge cases like strings starting with '0' or containing invalid sequences.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the secret message decoder problem using a different approach than shown above.
If the string starts with '0', there are 0 ways to decode it because no letter corresponds to '0'.
If the string contains a '0' that isn't part of a valid two-digit number (10 or 20), there are 0 ways to decode it.
Handle the case where the input string is empty (return 0 or 1 depending on the problem definition).
For a single digit (not '0'), there's exactly 1 way to decode it.
For two digits that can be decoded as either one or two letters, there are multiple ways.
Below is the implementation of the secret message decoder:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175/** * Recursive approach (brute force) * Time Complexity: O(2^n) - Exponential in worst case * Space Complexity: O(n) - Recursion stack * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsRecursive(s) { // Base case: empty string has 1 way to decode if (s.length === 0) { return 1; } // If the string starts with '0', it cannot be decoded if (s[0] === '0') { return 0; } // Initialize result let ways = 0; // Option 1: Take a single digit ways += numDecodingsRecursive(s.substring(1)); // Option 2: Take two digits if valid if (s.length >= 2) { const twoDigits = parseInt(s.substring(0, 2)); if (twoDigits >= 10 && twoDigits <= 26) { ways += numDecodingsRecursive(s.substring(2)); } } return ways;} /** * Memoization approach (top-down dynamic programming) * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(n) - For memoization and recursion stack * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsMemo(s) { const memo = new Map(); function decode(index) { // Base case: reached the end of the string if (index === s.length) { return 1; } // If already computed, return from memo if (memo.has(index)) { return memo.get(index); } // If current digit is '0', it cannot be decoded on its own if (s[index] === '0') { return 0; } // Option 1: Take a single digit let ways = decode(index + 1); // Option 2: Take two digits if valid if (index + 1 < s.length) { const twoDigits = parseInt(s.substring(index, index + 2)); if (twoDigits >= 10 && twoDigits <= 26) { ways += decode(index + 2); } } // Store result in memo memo.set(index, ways); return ways; } return decode(0);} /** * Tabulation approach (bottom-up dynamic programming) * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(n) - For the DP array * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsDP(s) { const n = s.length; // Edge case: empty string if (n === 0) return 0; // Create DP array const dp = new Array(n + 1).fill(0); // Base case: empty string has 1 way to decode dp[n] = 1; // Fill DP array from right to left for (let i = n - 1; i >= 0; i--) { // If current digit is '0', it cannot be decoded on its own if (s[i] === '0') { dp[i] = 0; } else { // Option 1: Take a single digit dp[i] = dp[i + 1]; // Option 2: Take two digits if valid if (i + 1 < n) { const twoDigits = parseInt(s.substring(i, i + 2)); if (twoDigits >= 10 && twoDigits <= 26) { dp[i] += dp[i + 2]; } } } } return dp[0];} /** * Optimized space complexity approach * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(1) - Constant extra space * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodings(s) { const n = s.length; // Edge case: empty string if (n === 0) return 0; // Initialize variables for DP[i+1] and DP[i+2] let dp1 = 1; // DP[n] let dp2 = 0; // Placeholder // Iterate from right to left for (let i = n - 1; i >= 0; i--) { // Initialize current DP value let current = 0; // If current digit is not '0', it can be decoded on its own if (s[i] !== '0') { current = dp1; } // Check if two digits can be decoded together if (i + 1 < n) { const twoDigits = parseInt(s.substring(i, i + 2)); if (twoDigits >= 10 && twoDigits <= 26) { current += dp2; } } // Update variables for next iteration dp2 = dp1; dp1 = current; } return dp1;} // Test casesconsole.log(numDecodings("12")); // 2console.log(numDecodings("226")); // 3console.log(numDecodings("06")); // 0console.log(numDecodings("10")); // 1console.log(numDecodings("27")); // 1console.log(numDecodings("2101")); // 1
Let's break down the implementation:
Implement the secret message decoder solution in different programming languages.
Below is the implementation of the secret message decoder in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175/** * Recursive approach (brute force) * Time Complexity: O(2^n) - Exponential in worst case * Space Complexity: O(n) - Recursion stack * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsRecursive(s) { // Base case: empty string has 1 way to decode if (s.length === 0) { return 1; } // If the string starts with '0', it cannot be decoded if (s[0] === '0') { return 0; } // Initialize result let ways = 0; // Option 1: Take a single digit ways += numDecodingsRecursive(s.substring(1)); // Option 2: Take two digits if valid if (s.length >= 2) { const twoDigits = parseInt(s.substring(0, 2)); if (twoDigits >= 10 && twoDigits <= 26) { ways += numDecodingsRecursive(s.substring(2)); } } return ways;} /** * Memoization approach (top-down dynamic programming) * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(n) - For memoization and recursion stack * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsMemo(s) { const memo = new Map(); function decode(index) { // Base case: reached the end of the string if (index === s.length) { return 1; } // If already computed, return from memo if (memo.has(index)) { return memo.get(index); } // If current digit is '0', it cannot be decoded on its own if (s[index] === '0') { return 0; } // Option 1: Take a single digit let ways = decode(index + 1); // Option 2: Take two digits if valid if (index + 1 < s.length) { const twoDigits = parseInt(s.substring(index, index + 2)); if (twoDigits >= 10 && twoDigits <= 26) { ways += decode(index + 2); } } // Store result in memo memo.set(index, ways); return ways; } return decode(0);} /** * Tabulation approach (bottom-up dynamic programming) * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(n) - For the DP array * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodingsDP(s) { const n = s.length; // Edge case: empty string if (n === 0) return 0; // Create DP array const dp = new Array(n + 1).fill(0); // Base case: empty string has 1 way to decode dp[n] = 1; // Fill DP array from right to left for (let i = n - 1; i >= 0; i--) { // If current digit is '0', it cannot be decoded on its own if (s[i] === '0') { dp[i] = 0; } else { // Option 1: Take a single digit dp[i] = dp[i + 1]; // Option 2: Take two digits if valid if (i + 1 < n) { const twoDigits = parseInt(s.substring(i, i + 2)); if (twoDigits >= 10 && twoDigits <= 26) { dp[i] += dp[i + 2]; } } } } return dp[0];} /** * Optimized space complexity approach * Time Complexity: O(n) - Each position is processed once * Space Complexity: O(1) - Constant extra space * * @param {string} s - The encoded message * @return {number} - Number of ways to decode */function numDecodings(s) { const n = s.length; // Edge case: empty string if (n === 0) return 0; // Initialize variables for DP[i+1] and DP[i+2] let dp1 = 1; // DP[n] let dp2 = 0; // Placeholder // Iterate from right to left for (let i = n - 1; i >= 0; i--) { // Initialize current DP value let current = 0; // If current digit is not '0', it can be decoded on its own if (s[i] !== '0') { current = dp1; } // Check if two digits can be decoded together if (i + 1 < n) { const twoDigits = parseInt(s.substring(i, i + 2)); if (twoDigits >= 10 && twoDigits <= 26) { current += dp2; } } // Update variables for next iteration dp2 = dp1; dp1 = current; } return dp1;} // Test casesconsole.log(numDecodings("12")); // 2console.log(numDecodings("226")); // 3console.log(numDecodings("06")); // 0console.log(numDecodings("10")); // 1console.log(numDecodings("27")); // 1console.log(numDecodings("2101")); // 1
First, understand that we need to count the number of ways to decode a string of digits into letters, where 'A'=1, 'B'=2, ..., 'Z'=26.
Recognize that at each position, we have at most two choices: decode a single digit or decode two digits together (if valid).
Pay special attention to '0' digits, which cannot be decoded on their own and must be part of a valid two-digit number (10 or 20).
Start with a recursive solution to understand the problem better, exploring all possible ways to decode the string.
Notice that the recursive solution has overlapping subproblems. Use memoization to avoid redundant calculations.
Transform the recursive solution into an iterative one using a bottom-up dynamic programming approach.
Observe that we only need the last two DP values at any point, allowing us to reduce the space complexity from O(n) to O(1).
Verify the solution with different test cases, including edge cases like strings starting with '0' or containing invalid sequences.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the secret message decoder problem using a different approach than shown above.
If the string starts with '0', there are 0 ways to decode it because no letter corresponds to '0'.
If the string contains a '0' that isn't part of a valid two-digit number (10 or 20), there are 0 ways to decode it.
Handle the case where the input string is empty (return 0 or 1 depending on the problem definition).
For a single digit (not '0'), there's exactly 1 way to decode it.
For two digits that can be decoded as either one or two letters, there are multiple ways.