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kyra-patton
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✨ Nice work. See my comment about the space complexity for height. Let me know what questions you have.
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| pass | ||
| # Time Complexity: O(log n) if ordered, O(n) if unordered | ||
| # Space Complexity: O(1) | ||
| def add(self, key, value=None): |
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✨ Nice work comparing the time complexity of a balanced vs unbalanced tree
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| # Time Complexity: O(log n) if ordered, O(n) if unordered | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder(self): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder(self): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder(self): |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) |
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🪐 Space complexity is going to be O(n) because you make a recursive call on each subtree (each node in the tree can be considered a subtree)
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