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CheezItMan
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Overall well done, you hit the learning goals here. Nice work.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: 0(1) | ||
| def add(key, value) |
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👍 , the time complexity is O(log n) if the tree is balanced.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: 0(1) | ||
| def find(key) |
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👍 , the time complexity is O(log n) if the tree is balanced.
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| # Time Complexity: 0(n) | ||
| # Space Complexity: 0(n) | ||
| def inorder |
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| # Time Complexity: 0(n) | ||
| # Space Complexity: 0(n) | ||
| def preorder |
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| # Time Complexity: 0(n) | ||
| # Space Complexity: 0(n) | ||
| def postorder |
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| # Time Complexity: 0(n) | ||
| # Space Complexity: 0(n) | ||
| def height |
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👍 , the space complexity is O(n) if the tree is unbalanced. O(log n) if it is balanced.
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