Trie Implementation Resource - aloalgo
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Trie Implementation
A trie consists of nodes, where each node contains a map of children (character → child node) and a flag indicating if it's the end of a word.
TrieNode Class
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Trie Class
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Example Usage
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Visualizing Insert
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Alternative: Array-Based Children
For lowercase letters only, you can use an array of size 26 instead of a dictionary. This is faster but uses more memory.
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Complexity
Insert:
O(m) where m = word length
Search:
O(m) where m = word length
StartsWith:
O(m) where m = prefix length
Space:
O(n * m) where n = number of words, m = average word length
Common Interview Tips
Use a helper method:
The _find_node helper avoids code duplication between search and startsWith.
Dictionary vs Array:
Use dictionary for mixed characters, array for lowercase-only (faster).
Don't forget is_end:
This distinguishes complete words from prefixes.
Next: Trie Applications
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