Sum of Mutated Array Closest to Target
<p>Given an integer array <code>arr</code> and a target value <code>target</code>, return the integer <code>value</code> such that when we change all the integers larger than <code>value</code> in the given array to be equal to <code>value</code>, the sum of the array gets as close as possible (in absolute difference) to <code>target</code>.</p>

<p>In case of a tie, return the minimum such integer.</p>

<p>Notice that the answer is not neccesarilly a number from <code>arr</code>.</p>

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

<pre>
<strong>Input:</strong> arr = [4,9,3], target = 10
<strong>Output:</strong> 3
<strong>Explanation:</strong> When using 3 arr converts to [3, 3, 3] which sums 9 and that&#39;s the optimal answer.
</pre>

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

<pre>
<strong>Input:</strong> arr = [2,3,5], target = 10
<strong>Output:</strong> 5
</pre>

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

<pre>
<strong>Input:</strong> arr = [60864,25176,27249,21296,20204], target = 56803
<strong>Output:</strong> 11361
</pre>

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

<ul>
	<li><code>1 &lt;= arr.length &lt;= 10<sup>4</sup></code></li>
	<li><code>1 &lt;= arr[i], target &lt;= 10<sup>5</sup></code></li>
</ul>
Array; Binary Search; Sorting
class Solution:
    def findBestValue(self, arr: List[int], target: int) -> int:
        arr.sort()
        s = list(accumulate(arr, initial=0))
        ans, diff = 0, inf
        for value in range(max(arr) + 1):
            i = bisect_right(arr, value)
            d = abs(s[i] + (len(arr) - i) * value - target)
            if diff > d:
                diff = d
                ans = value
        return ans
