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g2001_2100.s2028_find_missing_observations.readme.md Maven / Gradle / Ivy

2028\. Find Missing Observations

Medium

You have observations of `n + m` **6-sided** dice rolls with each face numbered from `1` to `6`. `n` of the observations went missing, and you only have the observations of `m` rolls. Fortunately, you have also calculated the **average value** of the `n + m` rolls.

You are given an integer array `rolls` of length `m` where `rolls[i]` is the value of the ith observation. You are also given the two integers `mean` and `n`.

Return _an array of length_ `n` _containing the missing observations such that the **average value** of the_ `n + m` _rolls is **exactly**_ `mean`. If there are multiple valid answers, return _any of them_. If no such array exists, return _an empty array_.

The **average value** of a set of `k` numbers is the sum of the numbers divided by `k`.

Note that `mean` is an integer, so the sum of the `n + m` rolls should be divisible by `n + m`.

**Example 1:**

**Input:** rolls = [3,2,4,3], mean = 4, n = 2

**Output:** [6,6]

**Explanation:** The mean of all n + m rolls is (3 + 2 + 4 + 3 + 6 + 6) / 6 = 4.

**Example 2:**

**Input:** rolls = [1,5,6], mean = 3, n = 4

**Output:** [2,3,2,2]

**Explanation:** The mean of all n + m rolls is (1 + 5 + 6 + 2 + 3 + 2 + 2) / 7 = 3.

**Example 3:**

**Input:** rolls = [1,2,3,4], mean = 6, n = 4

**Output:** []

**Explanation:** It is impossible for the mean to be 6 no matter what the 4 missing rolls are.

**Constraints:**

*   `m == rolls.length`
*   1 <= n, m <= 105
*   `1 <= rolls[i], mean <= 6`