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CheezItMan
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Nice work Karla, you hit the learning goals here. Well done.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n ) | ||
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| def add_helper(self, current, key, value): |
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👍 Time/space complexity is correct if the tree is balanced. O(n) otherwise.
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| # Time Complexity: O( log n ) | ||
| # Space Complexity: O (log 1 ) | ||
| def find(self, key): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder_helper(self, current_node, listofvalues): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder_helper(self, current_node, listofvalues): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(log n) | ||
| def height_helper(self, current_node): |
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Binary Search Tree w/ time/space complexity