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CheezItMan
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Apr 27, 2021
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Nice work Anya, you hit all the learning goals here. Nice use of recursion. I will note that the looping solutions are better in terms of space complexity, but doing it recursively was good practice.
Well done.
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| # Time Complexity: O(1) | ||
| # Space Complexity: O(1) | ||
| def add_first(value) |
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| # Time Complexity: O(n) with n being the length of the linked list. | ||
| # Space Complexity: O(n) recursive pushes frames onto call stack for length of list. | ||
| def search(value, current = @head) |
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| # Time Complexity: O(n) with n being the length of the linked list. | ||
| # Space Complexity: O(n) | ||
| def find_max(max_value = -1.0/0, current = @head) |
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👍 , interesting way to get - infinity
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| # Time Complexity: O(n) with n being the length of the linked list. | ||
| # Space Complexity: O(n) | ||
| def find_min(min_value = 1.0/0, current = @head) |
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| # Time Complexity: O(1) | ||
| # Space Complexity: O(1) | ||
| def get_first |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def get_at_index(index, current = @head) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def visit(current = @head) |
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| # Time Complexity: O(n) due to search, delete is O(1) | ||
| # Space Complexity: O(n) | ||
| def delete(value, previous = @head, current = @head) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def reverse(current = @head) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def get_last(current = @head) |
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