Spruce: Kaitlyn #52
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Spruce: Kaitlyn #52
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kyra-patton
reviewed
Jul 27, 2022
| @@ -14,36 +14,127 @@ class Tree: | |||
| def __init__(self): | |||
| self.root = None | |||
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| # Time Complexity: | |||
| # Space Complexity: | |||
| # Time Complexity: O(log n) | |||
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(log n) | ||
| # Space Complexity: O(n) |
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🪐 You aren't creating any new data structures here or holding recursive calls in memory, so space complexity would be O(1)
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(log n) | ||
| # Space Complexity: O(n) | ||
| def add(self, key, value = None): |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
| current = current.right | ||
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder(self): |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder(self): |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder(self): |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def height(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) here because your recursive calls will make a call for every node (every subtree) in the tree.
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