Minimum Incompatibility
<p>You are given an integer array <code>nums</code>​​​ and an integer <code>k</code>. You are asked to distribute this array into <code>k</code> subsets of <strong>equal size</strong> such that there are no two equal elements in the same subset.</p>

<p>A subset&#39;s <strong>incompatibility</strong> is the difference between the maximum and minimum elements in that array.</p>

<p>Return <em>the <strong>minimum possible sum of incompatibilities</strong> of the </em><code>k</code> <em>subsets after distributing the array optimally, or return </em><code>-1</code><em> if it is not possible.</em></p>

<p>A subset is a group integers that appear in the array with no particular order.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<pre>
<strong>Input:</strong> nums = [1,2,1,4], k = 2
<strong>Output:</strong> 4
<strong>Explanation:</strong> The optimal distribution of subsets is [1,2] and [1,4].
The incompatibility is (2-1) + (4-1) = 4.
Note that [1,1] and [2,4] would result in a smaller sum, but the first subset contains 2 equal elements.</pre>

<p><strong class="example">Example 2:</strong></p>

<pre>
<strong>Input:</strong> nums = [6,3,8,1,3,1,2,2], k = 4
<strong>Output:</strong> 6
<strong>Explanation:</strong> The optimal distribution of subsets is [1,2], [2,3], [6,8], and [1,3].
The incompatibility is (2-1) + (3-2) + (8-6) + (3-1) = 6.
</pre>

<p><strong class="example">Example 3:</strong></p>

<pre>
<strong>Input:</strong> nums = [5,3,3,6,3,3], k = 3
<strong>Output:</strong> -1
<strong>Explanation:</strong> It is impossible to distribute nums into 3 subsets where no two elements are equal in the same subset.
</pre>

<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>1 &lt;= k &lt;= nums.length &lt;= 16</code></li>
	<li><code>nums.length</code> is divisible by <code>k</code></li>
	<li><code>1 &lt;= nums[i] &lt;= nums.length</code></li>
</ul>
Bit Manipulation; Array; Dynamic Programming; Bitmask
function minimumIncompatibility(nums: number[], k: number): number {
    const n = nums.length;
    const m = Math.floor(n / k);
    const g: number[] = Array(1 << n).fill(-1);
    for (let i = 1; i < 1 << n; ++i) {
        if (bitCount(i) !== m) {
            continue;
        }
        const s: Set<number> = new Set();
        let [mi, mx] = [20, 0];
        for (let j = 0; j < n; ++j) {
            if ((i >> j) & 1) {
                if (s.has(nums[j])) {
                    break;
                }
                s.add(nums[j]);
                mi = Math.min(mi, nums[j]);
                mx = Math.max(mx, nums[j]);
            }
        }
        if (s.size === m) {
            g[i] = mx - mi;
        }
    }
    const inf = 1e9;
    const f: number[] = Array(1 << n).fill(inf);
    f[0] = 0;
    for (let i = 0; i < 1 << n; ++i) {
        if (f[i] === inf) {
            continue;
        }
        const s: Set<number> = new Set();
        let mask = 0;
        for (let j = 0; j < n; ++j) {
            if (((i >> j) & 1) === 0 && !s.has(nums[j])) {
                s.add(nums[j]);
                mask |= 1 << j;
            }
        }
        if (s.size < m) {
            continue;
        }
        for (let j = mask; j; j = (j - 1) & mask) {
            if (g[j] !== -1) {
                f[i | j] = Math.min(f[i | j], f[i] + g[j]);
            }
        }
    }
    return f[(1 << n) - 1] === inf ? -1 : f[(1 << n) - 1];
}

function bitCount(i: number): number {
    i = i - ((i >>> 1) & 0x55555555);
    i = (i & 0x33333333) + ((i >>> 2) & 0x33333333);
    i = (i + (i >>> 4)) & 0x0f0f0f0f;
    i = i + (i >>> 8);
    i = i + (i >>> 16);
    return i & 0x3f;
}
