Created
April 3, 2025 09:34
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| def euclidean_distance(flat, target, criteria) | |
| sum_of_squares = criteria.sum do |criterion| | |
| (flat[criterion] - target[criterion]) ** 2 | |
| end | |
| Math.sqrt(sum_of_squares) | |
| end | |
| def rank_flats(flats, target) | |
| criteria = target.keys | |
| flats_with_proximity = flats.map do |flat| | |
| proximity = euclidean_distance(flat, target, criteria) | |
| { flat: flat, proximity: proximity } | |
| end | |
| flats_with_proximity.sort_by { |flat| flat[:proximity] } | |
| end | |
| flats = [ | |
| { id: 1, price: 20, size: 40, location: 5 }, | |
| { id: 2, price: 40, size: 60, location: 8 }, | |
| { id: 3, price: 60, size: 80, location: 7 }, | |
| { id: 4, price: 70, size: 100, location: 6 } | |
| ] | |
| target = { price: 45, size: 75 } | |
| puts rank_flats(flats, target) |
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