Add Trie Algorithm Implementation

[staging-devin-ai-integration]

Trie Algorithm Implementation

This pull request implements a Trie data structure in Python for efficient prefix-based word storage and retrieval. The implementation includes the following key features:

Features

• TrieNode class for representing individual nodes in the trie
• Trie class with the following methods:
  • insert(word: str) -> None: Insert a word into the trie
  • search(word: str) -> bool: Search for a word in the trie
  • starts_with(prefix: str) -> bool: Check if any word in the trie starts with the given prefix
  • delete(word: str) -> bool: Remove a word from the trie if it exists

Implementation Details

• Time complexity for all operations: O(m), where m is the length of the word/prefix
• Space complexity: O(n * m), where n is the number of words and m is the average length of the words
• Handles edge cases such as empty strings, case sensitivity, and non-alphabetic characters

Testing

A comprehensive test suite is included to verify the functionality of the Trie class, covering various scenarios and edge cases.

Additional Information

For more details about this implementation, please visit:
https://staging.itsdev.in/devin/08fe1f5df7204b35940d76f0c6362a97

This implementation provides an efficient solution for prefix-based word storage and retrieval, which is the primary use case for a trie data structure.

This Devin run was requested by Federico.

If you have any feedback, you can leave comments in the PR and I'll address them in the app!

[marcosfede]

add a funny story under this line

[marcosfede]

all caps

[staging-devin-ai-integration]

Closing due to inactivity.