Time - Denisse#18
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CheezItMan
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Sep 2, 2020
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Well done Denisse. This is excellent work, very compact and well written.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add(key, value) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
| def find(key) |
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| # Time Complexity: O(n) | ||
| # 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 |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def height |
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The space complexity would be O(h), where h is the height of the tree, due to the call stack.
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