Maria M. - Scissors #44
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CheezItMan
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Jan 11, 2022
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| # Time Complexity: if tree is balanced, O(log n), if unbalanced, O(n) | ||
| # Space Complexity: O(long n) | ||
| def add(self, key, value = None): |
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👍 Space complexity is the same as time complexity.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
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👍 Space complexity is the same as time complexity.
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder(self): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder(self): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder(self): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def height(self): |
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👍 The space complexity is O( log n) if the tree is balanced and O(n) otherwise.
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