Water - Kareha #19
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Water - Kareha #19
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CheezItMan
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Apr 7, 2021
CheezItMan
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CheezItMan
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Nice work Kareha, you hit the learning goals here. Well done.
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| # Time Complexity: O(logn) | ||
| # Space Complexity: O(logn) | ||
| def add(key, value = nil) |
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👍 The time/complexities are correct if the tree is balanced and O(n) if unbalanced.
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| # Time Complexity: O(logn) | ||
| # Space Complexity: O(logn) | ||
| def find(key) |
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👍 The time/complexities are correct if the tree is balanced and O(n) if unbalanced.
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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(n) | ||
| # Space Complexity: O(n) | ||
| def height |
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👍 The space complexity is O(n) if the tree is unbalanced and O(log n) if the tree is balanced.
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| # Time Complexity: O(n*m) | ||
| # Space Complexity: O(n) | ||
| def bfs |
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Because you are using .shift the time complexity is O(n^2), otherwise well done.
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