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Nice work Sharon. Take a look at my comments and let me know what questions you have.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
| def add(key, value) |
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👍 , the time/space complexities are correct if the tree is balanced.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
| def find(key) |
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👍 , the time/space complexities are correct if the tree is balanced.
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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: | ||
| # Space Complexity: | ||
| def height |
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👍 , but time complexity is O(n) and space complexity is O(h).
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