1804. Implement Trie II (solutions/Prefix Tree)
https://leetcode.com/problems/implement-trie-ii-prefix-tree
Description
A trie (pronounced as "try") or prefix tree is a tree data structure used to efficiently store and retrieve keys in a dataset of strings. There are various applications of this data structure, such as autocomplete and spellchecker.
Implement the Trie class:
Trie()Initializes the trie object.void insert(String word)Inserts the stringwordinto the trie.int countWordsEqualTo(String word)Returns the number of instances of the stringwordin the trie.int countWordsStartingWith(String prefix)Returns the number of strings in the trie that have the stringprefixas a prefix.void erase(String word)Erases the stringwordfrom the trie.
Example 1:
**Input**
["Trie", "insert", "insert", "countWordsEqualTo", "countWordsStartingWith", "erase", "countWordsEqualTo", "countWordsStartingWith", "erase", "countWordsStartingWith"]
[[], ["apple"], ["apple"], ["apple"], ["app"], ["apple"], ["apple"], ["app"], ["apple"], ["app"]]
**Output**
[null, null, null, 2, 2, null, 1, 1, null, 0]
**Explanation**
Trie trie = new Trie();
trie.insert("apple"); // Inserts "apple".
trie.insert("apple"); // Inserts another "apple".
trie.countWordsEqualTo("apple"); // There are two instances of "apple" so return 2.
trie.countWordsStartingWith("app"); // "app" is a prefix of "apple" so return 2.
trie.erase("apple"); // Erases one "apple".
trie.countWordsEqualTo("apple"); // Now there is only one instance of "apple" so return 1.
trie.countWordsStartingWith("app"); // return 1
trie.erase("apple"); // Erases "apple". Now the trie is empty.
trie.countWordsStartingWith("app"); // return 0Constraints:
1 <= word.length, prefix.length <= 2000wordandprefixconsist only of lowercase English letters.At most
3 * 104calls in total will be made toinsert,countWordsEqualTo,countWordsStartingWith, anderase.It is guaranteed that for any function call to
erase, the stringwordwill exist in the trie.
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