<p>Given a string <code>s</code>, return <code>true</code> <em>if it is possible to split the string</em> <code>s</code> <em>into three <strong>non-empty</strong> palindromic substrings. Otherwise, return </em><code>false</code>.​​​​​</p>

<p>A string is said to be palindrome if it the same string when reversed.</p>

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

<pre>
<strong>Input:</strong> s = &quot;abcbdd&quot;
<strong>Output:</strong> true
<strong>Explanation: </strong>&quot;abcbdd&quot; = &quot;a&quot; + &quot;bcb&quot; + &quot;dd&quot;, and all three substrings are palindromes.
</pre>

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

<pre>
<strong>Input:</strong> s = &quot;bcbddxy&quot;
<strong>Output:</strong> false
<strong>Explanation: </strong>s cannot be split into 3 palindromes.
</pre>

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

<ul>
	<li><code>3 &lt;= s.length &lt;= 2000</code></li>
	<li><code>s</code>​​​​​​ consists only of lowercase English letters.</li>
</ul>

class Solution:
    def checkPartitioning(self, s: str) -> bool:
        n = len(s)
        
        def isPalindrome(left, right):
            while left < right:
                if s[left] != s[right]:
                    return False
                left += 1
                right -= 1
            return True
        
        # Precompute palindrome status for all substrings
        dp = [[False] * n for _ in range(n)]
        for i in range(n):
            dp[i][i] = True
        for length in range(2, n + 1):
            for i in range(n - length + 1):
                j = i + length - 1
                if s[i] == s[j]:
                    if length == 2:
                        dp[i][j] = True
                    else:
                        dp[i][j] = dp[i + 1][j - 1]
        
        for i in range(1, n - 1):
            if dp[0][i - 1]:
                for j in range(i + 1, n):
                    if dp[i][j - 1] and dp[j][n - 1]:
                        return True
        
        return False
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