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CheezItMan
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Nice work Emily, this all works although you're missing some time/space complexity. 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) | ||
| # Space Complexity: O(1) | ||
| def search(value) |
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| # method to return the max value in the linked list | ||
| # returns the data value and not the node | ||
| def find_max |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def find_min |
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| # Time Complexity: O(1) | ||
| # Space Complexity: O(1) | ||
| def length |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| # unsure if this method actually works - did a brute force/pseudocode answer and didn't check because no tests | ||
| def find_middle_value |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def find_nth_from_end(n) |
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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(1) | ||
| def add_last(value) |
| # returns nil if the linked list is empty | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| def get_last |
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