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CheezItMan
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Nice work Kal, thanks for getting this in. Well done.
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| # Time Complexity: O(log n) if balanced, otherwise O(n) where n is number of nodes | ||
| # Space Complexity: O(n), n is height | ||
| def add(key, value=nil) |
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👍 Yeah recursion! You threw me with the O(n) space complexity until I saw the note on height.
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| # Time Complexity: O(log n) if balanced | ||
| # Space Complexity: O(n) | ||
| def find(key) |
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👍 I assume space complexity is related to the height.
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| # Time Complexity: O(n), n is number of nodes | ||
| # Space Complexity: O(n) | ||
| def inorder |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder |
| # Space Complexity: | ||
| def height | ||
| raise NotImplementedError | ||
| def height(current = @root) |
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| # Time Complexity: | ||
| # Space Complexity: | ||
| def bfs |
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