Glasgow | Sheetal Kharab | Module-Decomposition | Sprint 4 | Implement laptop allocation #29
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Apologies for the lateness in the review, this is a good implementation, but you might want to consider the efficiency. I've left a comment about that in the code. Can you think of any changes that could improve that?
| for person in people: | ||
| # Find laptop that gives this person minimum sadness | ||
| if available_laptops: | ||
| best_laptop = min(available_laptops, key=lambda l: calculate_sadness(person, l)) |
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This method works, one thing to be careful of is this think how often this function will run.
It will always run, for every laptop, even if the very first one were a perfect match.
It's not an issue in your example here, but imagine if we were running this with thousands of laptop and people entries
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