""" A Trie/Prefix Tree is a kind of search tree used to provide quick lookup of words/patterns in a set of words. A basic Trie however has O(n^2) space complexity making it impractical in practice. It however provides O(max(search_string, length of longest word)) lookup time making it an optimal approach when space is not an issue. """ class TrieNode: def __init__(self): self.nodes = dict() # Mapping from char to TrieNode self.is_leaf = False def insert_many(self, words: [str]): # noqa: E999 This syntax is Python 3 only """ Inserts a list of words into the Trie :param words: list of string words :return: None """ for word in words: self.insert(word) def insert(self, word: str): # noqa: E999 This syntax is Python 3 only """ Inserts a word into the Trie :param word: word to be inserted :return: None """ curr = self for char in word: if char not in curr.nodes: curr.nodes[char] = TrieNode() curr = curr.nodes[char] curr.is_leaf = True def find(self, word: str) -> bool: # noqa: E999 This syntax is Python 3 only """ Tries to find word in a Trie :param word: word to look for :return: Returns True if word is found, False otherwise """ curr = self for char in word: if char not in curr.nodes: return False curr = curr.nodes[char] return curr.is_leaf def print_words(node: TrieNode, word: str): # noqa: E999 This syntax is Python 3 only """ Prints all the words in a Trie :param node: root node of Trie :param word: Word variable should be empty at start :return: None """ if node.is_leaf: print(word, end=' ') for key, value in node.nodes.items(): print_words(value, word + key) def test(): words = ['banana', 'bananas', 'bandana', 'band', 'apple', 'all', 'beast'] root = TrieNode() root.insert_many(words) # print_words(root, '') assert root.find('banana') assert not root.find('bandanas') assert not root.find('apps') assert root.find('apple') test()