Rock - Priscille #51
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Rock - Priscille #51
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CheezItMan
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Jan 11, 2022
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| def dict(self): | ||
| return {"key": self.key, "value": self.value} |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def add(self, key, value = None): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def inorder(self): |
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👍, however since you are building a list of all tree node values the space complexity is O(n)
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def preorder(self): |
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👍, however since you are building a list of all tree node values the space complexity is O(n)
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def postorder(self): |
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👍, however since you are building a list of all tree node values the space complexity is O(n)
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def height(self): |
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👍 However the space complexity is O(h) where h is the height of the tree.
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