Minimum Index Sum of Two Lists

Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of favorite restaurants represented by strings.

You need to help them find out their common interest with the least list index sum. If there is a choice tie between answers, output all of them with no order requirement. You could assume there always exists an answer.

Example 1:

Input:
["Shogun", "Tapioca Express", "Burger King", "KFC"]
["Piatti", "The Grill at Torrey Pines", "Hungry Hunter Steakhouse", "Shogun"]
Output: ["Shogun"]
Explanation: The only restaurant they both like is "Shogun".

Example 2:

Input:
["Shogun", "Tapioca Express", "Burger King", "KFC"]
["KFC", "Shogun", "Burger King"]
Output: ["Shogun"]
Explanation: The restaurant they both like and have the least index sum is "Shogun" with index sum 1 (0+1).

Note:

  1. The length of both lists will be in the range of [1, 1000].

  2. The length of strings in both lists will be in the range of [1, 30].

  3. The index is starting from 0 to the list length minus 1.

  4. No duplicates in both lists.

Here is a solution using hash maps.

class Solution {
    public String[] findRestaurant(String[] list1, String[] list2) {
        Map<String, Integer> m1 = new HashMap<>();
        for (int i = 0; i < list1.length; i++) {
            m1.put(list1[i], i);
        }

        Map<Integer, List<String>> sums = new HashMap<>();
        for (int i = 0; i < list2.length; i++) {
            String value = list2[i];
            if (m1.containsKey(value)) {
                Integer position = m1.get(value);
                int sum = position + i;
                if (!sums.containsKey(sum)) {
                    sums.put(sum, new ArrayList<>());
                }
                sums.get(sum).add(value);
            }
        }

        int min = Integer.MAX_VALUE;

        for (Integer key : sums.keySet()) {
            if (key < min) {
                min = key;
            }
        }
        return sums.get(min).toArray(new String[0]);
    }
}

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