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  • Leetcode Top Interview ๐ŸŽฏ
  • Guide to Calculating Algorithm Complexity ๐Ÿš€
  • Topic 1 Array - String
    • 88. Merge Sorted Arrays ๐Ÿงฉ
    • 27. Remove Element ๐Ÿงน
    • 26. Remove Duplicates from Sorted Array ๐Ÿšซ
    • 80. Remove Duplicates from Sorted Array II ๐Ÿšซ๐Ÿšซ
    • 169. Majority Element ๐Ÿ‘‘
    • 189. Rotate Array ๐Ÿ”„
    • 121. Best Time to Buy and Sell Stock ๐Ÿ“ˆ
    • 122. Best Time to Buy and Sell Stock II ๐Ÿ“ˆ๐Ÿ’ฐ
    • 55. Jump Game ๐Ÿƒโ€โ™‚๏ธ
    • 45. Jump Game II ๐Ÿƒโ€โ™‚๏ธ
    • 274. H-Index ๐Ÿ“Š
    • 380. Insert Delete GetRandom O(1) ๐ŸŽฒ
    • 238. Product of Array Except Self ๐Ÿ”„
    • 134. Gas Station โ›ฝ
    • 135. Candy ๐Ÿฌ
    • 42. Trapping Rain Water ๐ŸŒง๏ธ
    • 13. Roman to Integer ๐Ÿ”ข
    • 018 Integer to Roman
    • 58. Length of Last Word ๐Ÿ” 
    • 14. Longest Common Prefix ๐ŸŒฑ
    • 151. Reverse Words in a String ๐Ÿ”„
    • 6. Zigzag Conversion ๐Ÿ”€
    • 28. Find the Index of the First Occurrence in a String ๐Ÿ”„
    • 68. Text Justification ๐Ÿ”„
  • Topic 2 Two Pointers
    • 125. Valid Palindrome ๐Ÿšฆ
    • 392. Is Subsequence ๐Ÿ“
    • 167. Two Sum II - Input Array Is Sorted ๐Ÿ”
    • 11. Container With Most Water ๐Ÿž๏ธ
    • 15. 3Sum ๐ŸŒ
  • Topic 3 Sliding Window
    • 209. Minimum Size Subarray Sum ๐ŸŒ
    • 3. Longest Substring Without Repeating Characters ๐ŸŒ
    • 30. Substring with Concatenation of All Words ๐ŸŒ
    • 76. Minimum Window Substring ๐ŸŒ
  • Topic 4 Matrix
    • 36. Valid Sudoku ๐ŸŒ
    • 54. Spiral Matrix ๐ŸŒ
    • 48. Rotate Image ๐Ÿ”„
    • 73. Set Matrix Zeroes
    • 289. Game of Life ๐Ÿ–ผ๏ธ
  • Topic 5 Hashmap
    • 383. Ransom Note ๐Ÿ”
    • 205. Isomorphic Strings ๐Ÿ”
    • 290. Word Pattern ๐Ÿงฉ
    • 242. Valid Anagram ๐ŸŽข
    • 49. Group Anagrams ๐Ÿคนโ€โ™‚๏ธ
    • 1. Two Sum ๐Ÿ”
    • 202. Happy Number ๐Ÿคฉ
    • 219. Contains Duplicate II ๐Ÿ”
    • 128. Longest Consecutive Sequence ๐Ÿ”
  • Topic 6 Intervals
    • 228. Summary Ranges ๐Ÿ“Š
    • 56. Merge Intervals ๐Ÿ”€
    • 57. Insert Interval ๐Ÿ†•
    • 452. Minimum Number of Arrows to Burst Balloons ๐ŸŽˆ
  • Topic 7 Stack
    • 20. Valid Parentheses ๐Ÿ”
    • 71. Simplify Path ๐Ÿ—บ๏ธ
    • 155. Min Stack ๐Ÿ—ƒ๏ธ
    • 150. Evaluate Reverse Polish Notation ๐Ÿง ๐Ÿ’ป
    • 224. Basic Calculator ๐Ÿงฎ
  • Topic 8 Linked List
    • 141. Linked List Cycle ๐Ÿ”
    • 2. Add Two Numbers ๐Ÿ”ข
    • 21. Merge Two Sorted Lists ๐Ÿ”—
    • 138. Copy List with Random Pointer ๐Ÿ”—
    • 92. Reverse Linked List II ๐Ÿ”„
      • Letโ€™s explain step by step ๐Ÿ‡
    • 25. Reverse Nodes in k-Group ๐Ÿ”„
    • 19. Remove Nth Node From End of List ๐Ÿ—‘๏ธ
    • 82. Remove Duplicates from Sorted List II โŒ๐Ÿ”ข
    • 61. Rotate List ๐Ÿ”„
    • 86. Partition List ๐Ÿ”—
    • 146. LRU Cache ๐Ÿ”—
  • Topic 9 Binary Tree General
    • 104. Maximum Depth of Binary Tree ๐Ÿ”—
    • 100. Same Tree ๐Ÿ”—
    • 226. Invert Binary Tree ๐Ÿ”—
    • 101. Symmetric Tree ๐Ÿ”—
    • 105. Construct Binary Tree from Preorder and Inorder Traversal ๐Ÿ”—
    • 106. Construct Binary Tree from Inorder and Postorder Traversal ๐Ÿ”—
    • 117. Populating Next Right Pointers in Each Node II ๐Ÿ”—
    • 114. Flatten Binary Tree to Linked List ๐Ÿ”—
    • 112. Path Sum ๐Ÿ”—
    • 129. Sum Root to Leaf Numbers ๐Ÿ”—
      • What_is_DFS
    • 124. Binary Tree Maximum Path Sum ๐Ÿ”—
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  • Problem Statement ๐Ÿ“œ
  • Examples ๐ŸŒŸ
  • Constraints โš™๏ธ
  • Solution ๐Ÿ’ก
  • Java Solution
  • Explanation of the Solution
  • Time Complexity โณ
  • Space Complexity ๐Ÿ’พ

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  1. Topic 5 Hashmap

290. Word Pattern ๐Ÿงฉ

Previous205. Isomorphic Strings ๐Ÿ”Next242. Valid Anagram ๐ŸŽข

Last updated 3 months ago

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Difficulty: Easy - Tags: Hash Table, String


Problem Statement ๐Ÿ“œ

Given a pattern and a string s, find if s follows the same pattern.

Here "follow" means a full match, such that there is a bijection between a letter in pattern and a non-empty word in s.


Examples ๐ŸŒŸ

๐Ÿ”น Example 1:

Input:

pattern = "abba", s = "dog cat cat dog"

Output:

true

๐Ÿ”น Example 2:

Input:

pattern = "abba", s = "dog cat cat fish"

Output:

false

๐Ÿ”น Example 3:

Input:

pattern = "aaaa", s = "dog cat cat dog"

Output:

false

Constraints โš™๏ธ

  • 1 <= pattern.length <= 300

  • pattern contains only lower-case English letters.

  • 1 <= s.length <= 3000

  • s contains only lowercase English letters and spaces ' '.

  • s does not contain any leading or trailing spaces.

  • All the words in s are separated by a single space.


Solution ๐Ÿ’ก

To determine if s follows the same pattern, we need to ensure that there is a one-to-one correspondence between the characters of pattern and the words in s. We can use two hash maps for this purpose:

  1. One map to store the pattern's character to word mapping.

  2. Another map to store the word to pattern's character mapping.


Java Solution

import java.util.HashMap;

class Solution {
    public boolean wordPattern(String pattern, String s) {
        String[] words = s.split(" ");

        if (pattern.length() != words.length) return false;

        Map<Character, String> patternToWord = new HashMap<>();
        Map<String, Character> wordToPattern = new HashMap<>();

        for (int i = 0; i < pattern.length(); i++) {
            char c = pattern.charAt(i);
            String word = words[i];

            if (patternToWord.containsKey(c)) {
                if (!patternToWord.get(c).equals(word)) {
                    return false;
                }
            } else {
                patternToWord.put(c, word);
            }

            if (wordToPattern.containsKey(word)) {
                if (wordToPattern.get(word) != c) {
                    return false;
                }
            } else {
                wordToPattern.put(word, c);
            }
        }

        return true;
    }
}

Explanation of the Solution

  1. Splitting the Input String:

    • We split s by spaces to get an array of words.

  2. Checking Lengths:

    • If the length of pattern doesn't match the number of words in s, return false.

  3. Mapping Characters to Words:

    • We use two hash maps:

      • patternToWord to map characters in pattern to words in s.

      • wordToPattern to map words in s to characters in pattern.

  4. Validation:

    • For each character and corresponding word, we check if the current mapping exists.

    • If it exists and doesn't match the expected value, return false.

    • If a valid mapping exists, continue checking until all characters and words are validated.

  5. Return True:

    • If all the mappings are consistent, return true.


Time Complexity โณ

  • O(n):

    • n is the length of the pattern (or the number of words in s).

    • Each character and word is processed once.

Space Complexity ๐Ÿ’พ

  • O(n):

    • Space is used for two hash maps, each storing up to n entries.

You can find the full solution .

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