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July 27, 2022 11:34
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✨💫 Nice work, Mary. I left a couple of comments and suggestions, but overall it looks like you have a good understanding of linked lists. Let me know what questions you have.
🟢
| # Space Complexity: ? | ||
| # Time Complexity: O(1) | ||
| # Space Complexity: O(1) | ||
| def get_first(self): |
| # Space Complexity: ? | ||
| # Time Complexity: O(1) | ||
| # Space Complexity: O(1) | ||
| def add_first(self, value): |
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def search(self, value): |
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def length(self): |
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def get_at_index(self, index): |
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| if current.next == None: | ||
| break |
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🤓 We generally like to avoid break statements where possible. How might you refactor your code to eliminate this break statement?
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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(self): |
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def delete(self, value): |
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def visit(self): |
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def reverse(self): |
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