<p>You are given an array <code>nums</code>​​​ and an integer <code>k</code>​​​​​. The <font face="monospace">XOR</font> of a segment <code>[left, right]</code> where <code>left &lt;= right</code> is the <code>XOR</code> of all the elements with indices between <code>left</code> and <code>right</code>, inclusive: <code>nums[left] XOR nums[left+1] XOR ... XOR nums[right]</code>.</p>

<p>Return <em>the minimum number of elements to change in the array </em>such that the <code>XOR</code> of all segments of size <code>k</code>​​​​​​ is equal to zero.</p>

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

<pre>
<strong>Input:</strong> nums = [1,2,0,3,0], k = 1
<strong>Output:</strong> 3
<strong>Explanation: </strong>Modify the array from [<u><strong>1</strong></u>,<u><strong>2</strong></u>,0,<u><strong>3</strong></u>,0] to from [<u><strong>0</strong></u>,<u><strong>0</strong></u>,0,<u><strong>0</strong></u>,0].
</pre>

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

<pre>
<strong>Input:</strong> nums = [3,4,5,2,1,7,3,4,7], k = 3
<strong>Output:</strong> 3
<strong>Explanation: </strong>Modify the array from [3,4,<strong><u>5</u></strong>,<strong><u>2</u></strong>,<strong><u>1</u></strong>,7,3,4,7] to [3,4,<strong><u>7</u></strong>,<strong><u>3</u></strong>,<strong><u>4</u></strong>,7,3,4,7].
</pre>

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

<pre>
<strong>Input:</strong> nums = [1,2,4,1,2,5,1,2,6], k = 3
<strong>Output:</strong> 3
<strong>Explanation: </strong>Modify the array from [1,2,<strong><u>4,</u></strong>1,2,<strong><u>5</u></strong>,1,2,<strong><u>6</u></strong>] to [1,2,<strong><u>3</u></strong>,1,2,<strong><u>3</u></strong>,1,2,<strong><u>3</u></strong>].</pre>

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

<ul>
	<li><code>1 &lt;= k &lt;= nums.length &lt;= 2000</code></li>
	<li><code>​​​​​​0 &lt;= nums[i] &lt; 2<sup>10</sup></code></li>
</ul>

class Solution:
    def minChanges(self, nums: List[int], k: int) -> int:
        from collections import defaultdict
        import sys

        # Initialize
        n = len(nums)
        max_val = 1 << 10  # Since nums[i] < 2^10
        dp = [sys.maxsize] * max_val
        dp[0] = 0

        # Process each group
        for i in range(k):
            # Count frequency of each number in the current group
            count = defaultdict(int)
            total = 0
            for j in range(i, n, k):
                count[nums[j]] += 1
                total += 1

            # Find the minimum number of changes for the current group
            new_dp = [min(dp) + total] * max_val
            for x in range(max_val):
                if dp[x] < sys.maxsize:
                    for num, freq in count.items():
                        new_dp[x ^ num] = min(new_dp[x ^ num], dp[x] + total - freq)

            dp = new_dp

        return dp[0]
3674