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Let's implement a simple autocomplete feature using Python and a Trie data structure.
class TrieNode:
"""A node in the Trie."""
def __init__(self):
self.children = {}
self.is_end_of_word = False
class Autocomplete:
"""Autocomplete feature."""
def __init__(self):
self.root = TrieNode()
def insert(self, word):
"""Insert a word into the Trie."""
node = self.root
for char in word:
if char not in node.children:
node.children[char] = TrieNode()
node = node.children[char]
node.is_end_of_word = True
def find(self, prefix):
"""Find all words with a given prefix."""
node = self.root
for char in prefix:
if char not in node.children:
return []
node = node.children[char]
return self._dfs(node, prefix)
def _dfs(self, node, prefix):
"""Depth-First Search to find all words."""
words = []
if node.is_end_of_word:
words.append(prefix)
for char, child_node in node.children.items():
words.extend(self._dfs(child_node, prefix + char))
return words
# Example usage
autocomplete = Autocomplete()
# Inserting data
data = ["autocom 202223 full", "autocom feature", "autocomplete full text", "text feature"]
for text in data:
autocomplete.insert(text)
# Finding suggestions
input_prefix = "autocom"
suggestions = autocomplete.find(input_prefix)
print(f"Suggestions for 'input_prefix': suggestions")
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