Below is the implementation of the regular expression matcher:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108/** * Determine if a text string matches a given pattern with support for '.' and '*'. * @param {string} text - The input text string * @param {string} pattern - The pattern to match against * @return {boolean} - True if the text matches the pattern, false otherwise */function isMatch(text, pattern) { // Create a memoization map const memo = new Map(); function match(i, j) { // Create a unique key for the current state const key = i + ',' + j; // Check if we've already computed this result if (memo.has(key)) { return memo.get(key); } // Base case: if we've reached the end of the pattern if (j === pattern.length) { return i === text.length; } // Check if the current characters match const firstMatch = i < text.length && (pattern[j] === text[i] || pattern[j] === '.'); // If the next character is '*' if (j + 1 < pattern.length && pattern[j + 1] === '*') { // Either skip the pattern character and '*' (match zero occurrences) // or match the current character and continue with the same pattern const result = match(i, j + 2) || (firstMatch && match(i + 1, j)); memo.set(key, result); return result; } else { // If the current characters match, move to the next characters const result = firstMatch && match(i + 1, j + 1); memo.set(key, result); return result; } } return match(0, 0);} /** * Dynamic Programming approach to determine if a text string matches a given pattern. * @param {string} text - The input text string * @param {string} pattern - The pattern to match against * @return {boolean} - True if the text matches the pattern, false otherwise */function isMatchDP(text, pattern) { const m = text.length; const n = pattern.length; // Create a DP table const dp = Array(m + 1).fill().map(() => Array(n + 1).fill(false)); // Empty pattern matches empty text dp[0][0] = true; // Handle patterns like a*, b*, etc. which can match empty string for (let j = 1; j <= n; j++) { if (pattern[j - 1] === '*') { dp[0][j] = dp[0][j - 2]; } } // Fill the DP table for (let i = 1; i <= m; i++) { for (let j = 1; j <= n; j++) { if (pattern[j - 1] === '*') { // Either ignore the pattern character and its preceding element dp[i][j] = dp[i][j - 2]; // Or if the current text character matches the preceding pattern character, // use the result from dp[i-1][j] if (pattern[j - 2] === '.' || pattern[j - 2] === text[i - 1]) { dp[i][j] = dp[i][j] || dp[i - 1][j]; } } else { // If the current characters match, use the result from dp[i-1][j-1] if (pattern[j - 1] === '.' || pattern[j - 1] === text[i - 1]) { dp[i][j] = dp[i - 1][j - 1]; } } } } return dp[m][n];} // Test casesconsole.log(isMatch("aab", "c*a*b")); // trueconsole.log(isMatch("mississippi", "mis*is*p*.")); // falseconsole.log(isMatch("ab", ".*")); // trueconsole.log(isMatch("", ".*")); // trueconsole.log(isMatch("aaa", "a*a")); // true console.log(isMatchDP("aab", "c*a*b")); // trueconsole.log(isMatchDP("mississippi", "mis*is*p*.")); // falseconsole.log(isMatchDP("ab", ".*")); // trueconsole.log(isMatchDP("", ".*")); // trueconsole.log(isMatchDP("aaa", "a*a")); // true
Let's break down the implementation:
Implement the regular expression matcher solution in different programming languages.
Below is the implementation of the regular expression matcher in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108/** * Determine if a text string matches a given pattern with support for '.' and '*'. * @param {string} text - The input text string * @param {string} pattern - The pattern to match against * @return {boolean} - True if the text matches the pattern, false otherwise */function isMatch(text, pattern) { // Create a memoization map const memo = new Map(); function match(i, j) { // Create a unique key for the current state const key = i + ',' + j; // Check if we've already computed this result if (memo.has(key)) { return memo.get(key); } // Base case: if we've reached the end of the pattern if (j === pattern.length) { return i === text.length; } // Check if the current characters match const firstMatch = i < text.length && (pattern[j] === text[i] || pattern[j] === '.'); // If the next character is '*' if (j + 1 < pattern.length && pattern[j + 1] === '*') { // Either skip the pattern character and '*' (match zero occurrences) // or match the current character and continue with the same pattern const result = match(i, j + 2) || (firstMatch && match(i + 1, j)); memo.set(key, result); return result; } else { // If the current characters match, move to the next characters const result = firstMatch && match(i + 1, j + 1); memo.set(key, result); return result; } } return match(0, 0);} /** * Dynamic Programming approach to determine if a text string matches a given pattern. * @param {string} text - The input text string * @param {string} pattern - The pattern to match against * @return {boolean} - True if the text matches the pattern, false otherwise */function isMatchDP(text, pattern) { const m = text.length; const n = pattern.length; // Create a DP table const dp = Array(m + 1).fill().map(() => Array(n + 1).fill(false)); // Empty pattern matches empty text dp[0][0] = true; // Handle patterns like a*, b*, etc. which can match empty string for (let j = 1; j <= n; j++) { if (pattern[j - 1] === '*') { dp[0][j] = dp[0][j - 2]; } } // Fill the DP table for (let i = 1; i <= m; i++) { for (let j = 1; j <= n; j++) { if (pattern[j - 1] === '*') { // Either ignore the pattern character and its preceding element dp[i][j] = dp[i][j - 2]; // Or if the current text character matches the preceding pattern character, // use the result from dp[i-1][j] if (pattern[j - 2] === '.' || pattern[j - 2] === text[i - 1]) { dp[i][j] = dp[i][j] || dp[i - 1][j]; } } else { // If the current characters match, use the result from dp[i-1][j-1] if (pattern[j - 1] === '.' || pattern[j - 1] === text[i - 1]) { dp[i][j] = dp[i - 1][j - 1]; } } } } return dp[m][n];} // Test casesconsole.log(isMatch("aab", "c*a*b")); // trueconsole.log(isMatch("mississippi", "mis*is*p*.")); // falseconsole.log(isMatch("ab", ".*")); // trueconsole.log(isMatch("", ".*")); // trueconsole.log(isMatch("aaa", "a*a")); // true console.log(isMatchDP("aab", "c*a*b")); // trueconsole.log(isMatchDP("mississippi", "mis*is*p*.")); // falseconsole.log(isMatchDP("ab", ".*")); // trueconsole.log(isMatchDP("", ".*")); // trueconsole.log(isMatchDP("aaa", "a*a")); // true
First, understand that we need to implement a regular expression matcher that supports '.' (matches any character) and '*' (matches zero or more of the preceding element).
Identify the base cases: if we've reached the end of the pattern, we should have also reached the end of the text for a match.
Handle the special characters '.' and '*' separately. The '*' character is particularly tricky as it can match zero or more occurrences.
Implement a recursive solution with memoization to avoid redundant calculations.
Alternatively, implement a bottom-up dynamic programming solution using a 2D table.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the regular expression matcher problem using a different approach than shown above.
Handle the case where either the text or pattern is empty.
Handle patterns that consist of characters followed by '*', which can match empty strings.
Handle complex patterns with multiple '*' characters and combinations of '.' and '*'.
Below is the implementation of the regular expression matcher:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108/** * Determine if a text string matches a given pattern with support for '.' and '*'. * @param {string} text - The input text string * @param {string} pattern - The pattern to match against * @return {boolean} - True if the text matches the pattern, false otherwise */function isMatch(text, pattern) { // Create a memoization map const memo = new Map(); function match(i, j) { // Create a unique key for the current state const key = i + ',' + j; // Check if we've already computed this result if (memo.has(key)) { return memo.get(key); } // Base case: if we've reached the end of the pattern if (j === pattern.length) { return i === text.length; } // Check if the current characters match const firstMatch = i < text.length && (pattern[j] === text[i] || pattern[j] === '.'); // If the next character is '*' if (j + 1 < pattern.length && pattern[j + 1] === '*') { // Either skip the pattern character and '*' (match zero occurrences) // or match the current character and continue with the same pattern const result = match(i, j + 2) || (firstMatch && match(i + 1, j)); memo.set(key, result); return result; } else { // If the current characters match, move to the next characters const result = firstMatch && match(i + 1, j + 1); memo.set(key, result); return result; } } return match(0, 0);} /** * Dynamic Programming approach to determine if a text string matches a given pattern. * @param {string} text - The input text string * @param {string} pattern - The pattern to match against * @return {boolean} - True if the text matches the pattern, false otherwise */function isMatchDP(text, pattern) { const m = text.length; const n = pattern.length; // Create a DP table const dp = Array(m + 1).fill().map(() => Array(n + 1).fill(false)); // Empty pattern matches empty text dp[0][0] = true; // Handle patterns like a*, b*, etc. which can match empty string for (let j = 1; j <= n; j++) { if (pattern[j - 1] === '*') { dp[0][j] = dp[0][j - 2]; } } // Fill the DP table for (let i = 1; i <= m; i++) { for (let j = 1; j <= n; j++) { if (pattern[j - 1] === '*') { // Either ignore the pattern character and its preceding element dp[i][j] = dp[i][j - 2]; // Or if the current text character matches the preceding pattern character, // use the result from dp[i-1][j] if (pattern[j - 2] === '.' || pattern[j - 2] === text[i - 1]) { dp[i][j] = dp[i][j] || dp[i - 1][j]; } } else { // If the current characters match, use the result from dp[i-1][j-1] if (pattern[j - 1] === '.' || pattern[j - 1] === text[i - 1]) { dp[i][j] = dp[i - 1][j - 1]; } } } } return dp[m][n];} // Test casesconsole.log(isMatch("aab", "c*a*b")); // trueconsole.log(isMatch("mississippi", "mis*is*p*.")); // falseconsole.log(isMatch("ab", ".*")); // trueconsole.log(isMatch("", ".*")); // trueconsole.log(isMatch("aaa", "a*a")); // true console.log(isMatchDP("aab", "c*a*b")); // trueconsole.log(isMatchDP("mississippi", "mis*is*p*.")); // falseconsole.log(isMatchDP("ab", ".*")); // trueconsole.log(isMatchDP("", ".*")); // trueconsole.log(isMatchDP("aaa", "a*a")); // true
Let's break down the implementation:
Implement the regular expression matcher solution in different programming languages.
Below is the implementation of the regular expression matcher in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108/** * Determine if a text string matches a given pattern with support for '.' and '*'. * @param {string} text - The input text string * @param {string} pattern - The pattern to match against * @return {boolean} - True if the text matches the pattern, false otherwise */function isMatch(text, pattern) { // Create a memoization map const memo = new Map(); function match(i, j) { // Create a unique key for the current state const key = i + ',' + j; // Check if we've already computed this result if (memo.has(key)) { return memo.get(key); } // Base case: if we've reached the end of the pattern if (j === pattern.length) { return i === text.length; } // Check if the current characters match const firstMatch = i < text.length && (pattern[j] === text[i] || pattern[j] === '.'); // If the next character is '*' if (j + 1 < pattern.length && pattern[j + 1] === '*') { // Either skip the pattern character and '*' (match zero occurrences) // or match the current character and continue with the same pattern const result = match(i, j + 2) || (firstMatch && match(i + 1, j)); memo.set(key, result); return result; } else { // If the current characters match, move to the next characters const result = firstMatch && match(i + 1, j + 1); memo.set(key, result); return result; } } return match(0, 0);} /** * Dynamic Programming approach to determine if a text string matches a given pattern. * @param {string} text - The input text string * @param {string} pattern - The pattern to match against * @return {boolean} - True if the text matches the pattern, false otherwise */function isMatchDP(text, pattern) { const m = text.length; const n = pattern.length; // Create a DP table const dp = Array(m + 1).fill().map(() => Array(n + 1).fill(false)); // Empty pattern matches empty text dp[0][0] = true; // Handle patterns like a*, b*, etc. which can match empty string for (let j = 1; j <= n; j++) { if (pattern[j - 1] === '*') { dp[0][j] = dp[0][j - 2]; } } // Fill the DP table for (let i = 1; i <= m; i++) { for (let j = 1; j <= n; j++) { if (pattern[j - 1] === '*') { // Either ignore the pattern character and its preceding element dp[i][j] = dp[i][j - 2]; // Or if the current text character matches the preceding pattern character, // use the result from dp[i-1][j] if (pattern[j - 2] === '.' || pattern[j - 2] === text[i - 1]) { dp[i][j] = dp[i][j] || dp[i - 1][j]; } } else { // If the current characters match, use the result from dp[i-1][j-1] if (pattern[j - 1] === '.' || pattern[j - 1] === text[i - 1]) { dp[i][j] = dp[i - 1][j - 1]; } } } } return dp[m][n];} // Test casesconsole.log(isMatch("aab", "c*a*b")); // trueconsole.log(isMatch("mississippi", "mis*is*p*.")); // falseconsole.log(isMatch("ab", ".*")); // trueconsole.log(isMatch("", ".*")); // trueconsole.log(isMatch("aaa", "a*a")); // true console.log(isMatchDP("aab", "c*a*b")); // trueconsole.log(isMatchDP("mississippi", "mis*is*p*.")); // falseconsole.log(isMatchDP("ab", ".*")); // trueconsole.log(isMatchDP("", ".*")); // trueconsole.log(isMatchDP("aaa", "a*a")); // true
First, understand that we need to implement a regular expression matcher that supports '.' (matches any character) and '*' (matches zero or more of the preceding element).
Identify the base cases: if we've reached the end of the pattern, we should have also reached the end of the text for a match.
Handle the special characters '.' and '*' separately. The '*' character is particularly tricky as it can match zero or more occurrences.
Implement a recursive solution with memoization to avoid redundant calculations.
Alternatively, implement a bottom-up dynamic programming solution using a 2D table.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the regular expression matcher problem using a different approach than shown above.
Handle the case where either the text or pattern is empty.
Handle patterns that consist of characters followed by '*', which can match empty strings.
Handle complex patterns with multiple '*' characters and combinations of '.' and '*'.