|
| 1 | +/** |
| 2 | + * [2064] Minimized Maximum of Products Distributed to Any Store |
| 3 | + * |
| 4 | + * You are given an integer n indicating there are n specialty retail stores. There are m product types of varying amounts, which are given as a 0-indexed integer array quantities, where quantities[i] represents the number of products of the i^th product type. |
| 5 | + * You need to distribute all products to the retail stores following these rules: |
| 6 | + * |
| 7 | + * A store can only be given at most one product type but can be given any amount of it. |
| 8 | + * After distribution, each store will have been given some number of products (possibly 0). Let x represent the maximum number of products given to any store. You want x to be as small as possible, i.e., you want to minimize the maximum number of products that are given to any store. |
| 9 | + * |
| 10 | + * Return the minimum possible x. |
| 11 | + * |
| 12 | + * Example 1: |
| 13 | + * |
| 14 | + * Input: n = 6, quantities = [11,6] |
| 15 | + * Output: 3 |
| 16 | + * Explanation: One optimal way is: |
| 17 | + * - The 11 products of type 0 are distributed to the first four stores in these amounts: 2, 3, 3, 3 |
| 18 | + * - The 6 products of type 1 are distributed to the other two stores in these amounts: 3, 3 |
| 19 | + * The maximum number of products given to any store is max(2, 3, 3, 3, 3, 3) = 3. |
| 20 | + * |
| 21 | + * Example 2: |
| 22 | + * |
| 23 | + * Input: n = 7, quantities = [15,10,10] |
| 24 | + * Output: 5 |
| 25 | + * Explanation: One optimal way is: |
| 26 | + * - The 15 products of type 0 are distributed to the first three stores in these amounts: 5, 5, 5 |
| 27 | + * - The 10 products of type 1 are distributed to the next two stores in these amounts: 5, 5 |
| 28 | + * - The 10 products of type 2 are distributed to the last two stores in these amounts: 5, 5 |
| 29 | + * The maximum number of products given to any store is max(5, 5, 5, 5, 5, 5, 5) = 5. |
| 30 | + * |
| 31 | + * Example 3: |
| 32 | + * |
| 33 | + * Input: n = 1, quantities = [100000] |
| 34 | + * Output: 100000 |
| 35 | + * Explanation: The only optimal way is: |
| 36 | + * - The 100000 products of type 0 are distributed to the only store. |
| 37 | + * The maximum number of products given to any store is max(100000) = 100000. |
| 38 | + * |
| 39 | + * |
| 40 | + * Constraints: |
| 41 | + * |
| 42 | + * m == quantities.length |
| 43 | + * 1 <= m <= n <= 10^5 |
| 44 | + * 1 <= quantities[i] <= 10^5 |
| 45 | + * |
| 46 | + */ |
| 47 | +pub struct Solution {} |
| 48 | + |
| 49 | +// problem: https://leetcode.com/problems/minimized-maximum-of-products-distributed-to-any-store/ |
| 50 | +// discuss: https://leetcode.com/problems/minimized-maximum-of-products-distributed-to-any-store/discuss/?currentPage=1&orderBy=most_votes&query= |
| 51 | + |
| 52 | +// submission codes start here |
| 53 | + |
| 54 | +impl Solution { |
| 55 | + pub fn minimized_maximum(n: i32, quantities: Vec<i32>) -> i32 { |
| 56 | + 0 |
| 57 | + } |
| 58 | +} |
| 59 | + |
| 60 | +// submission codes end |
| 61 | + |
| 62 | +#[cfg(test)] |
| 63 | +mod tests { |
| 64 | + use super::*; |
| 65 | + |
| 66 | + #[test] |
| 67 | + #[ignore] |
| 68 | + fn test_2064_example_1() { |
| 69 | + let n = 6; |
| 70 | + let quantities = vec![11, 6]; |
| 71 | + |
| 72 | + let result = 3; |
| 73 | + |
| 74 | + assert_eq!(Solution::minimized_maximum(n, quantities), result); |
| 75 | + } |
| 76 | + |
| 77 | + #[test] |
| 78 | + #[ignore] |
| 79 | + fn test_2064_example_2() { |
| 80 | + let n = 7; |
| 81 | + let quantities = vec![15, 10, 10]; |
| 82 | + |
| 83 | + let result = 5; |
| 84 | + |
| 85 | + assert_eq!(Solution::minimized_maximum(n, quantities), result); |
| 86 | + } |
| 87 | + |
| 88 | + #[test] |
| 89 | + #[ignore] |
| 90 | + fn test_2064_example_3() { |
| 91 | + let n = 1; |
| 92 | + let quantities = vec![100000]; |
| 93 | + |
| 94 | + let result = 100000; |
| 95 | + |
| 96 | + assert_eq!(Solution::minimized_maximum(n, quantities), result); |
| 97 | + } |
| 98 | +} |
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