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Well done Charlotte, you hit all the requirements here. Just note that the space/time complexities of many of these submissions require that the tree is balanced and are O(n) if the tree is unbalanced.
| gem 'minitest-spec' | ||
| gem 'minitest-reporters' | ||
| gem "pry" | ||
| gem 'pry-nav' |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add_recursive(node, key, value) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find_recursive(node, key) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder_recursive(node, list) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder_recursive(node, list) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder_recursive(node, list) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n | ||
| def height_recursive(node) |
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👍 , the space complexity is right if the tree is unbalanced, if it's balanced, the space complexity is O(log n)
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