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CheezItMan
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Well done, you hit the requirements. Nice work.
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| # Time Complexity: O(1), since it will always have direct access to the front of the list | ||
| # Space Complexity: O(1) | ||
| def add_first(value) |
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| # Time Complexity: O(n), n being up to the length of the linked list | ||
| # Space Complexity: O(1) | ||
| def search(value) |
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| # Time Complexity: O(n), n being up to the length of the linked list | ||
| # Space Complexity: O(1) | ||
| def find_max |
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| # Time Complexity: O(n), n being up to the length of the linked list | ||
| # Space Complexity: O(1) | ||
| def find_min |
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| # Time Complexity: O(n), n being the length of the linked list | ||
| # Space Complexity: O(1) | ||
| def length |
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| # Time Complexity: O(n), n being the index to get the value at | ||
| # Space Complexity: O(1) | ||
| def get_at_index(index) |
| # Space Complexity: ? | ||
| # Time Complexity: O(n), n being the amount of nodes | ||
| # Space Complexity: O(1) | ||
| def visit |
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| # Time Complexity: O(n), n being up to the the amount of nodes in the list | ||
| # Space Complexity: O(1) | ||
| def delete(value) |
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This is a little overly complicated, but it works.
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| # Time Complexity: O(n), n being the number of nodes in the list | ||
| # Space Complexity: O(1) | ||
| def reverse |
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| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| def get_first |
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