Fire - Alice D #20
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Fire - Alice D #20
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…d to nil to make height methods tests pass when using only keys and no values
CheezItMan
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Apr 7, 2021
CheezItMan
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CheezItMan
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Nice work Alice, you hit the main learning goals, well done.
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| # Time Complexity: O(log n); although if the tree is not balanced, this could be O(n) | ||
| # Space Complexity: O(1) | ||
| def add(key, value = nil) |
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👍 Correct time complexity given the assumptions
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| # Time Complexity: O(log n); although if the tree is not balanced, this could be O(n) | ||
| # Space Complexity: | ||
| def find(key) |
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👍 Correct time complexity given the assumptions
space complexity ???
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder |
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| # Time Complexity: O(log n); although if the tree is not balanced, this could be O(n) | ||
| # Space Complexity: O(1) | ||
| def height |
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👍 the time complexity is O(n) and space complexity is O(log n) if the tree is balanced and O(n) otherwise.
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