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kyra-patton
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✨🌟 Nice work Shaina. I left one comment on the space complexity of height(), but overall it looks like you've got a solid understanding of BSTs. Let me know what questions you have.
🟢
| # Space Complexity: | ||
| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add(self, key, value = None): |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
| # Space Complexity: | ||
| # 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): |
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder(self): |
| return result | ||
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) |
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🪐 Space complexity will be O(n) because you make a recursive call on each subtree (each node can be considered a subtree)
| # # Space Complexity: | ||
| # # Time Complexity: O(n) | ||
| # # Space Complexity: O(n) | ||
| def bfs(self): |
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