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Problem solution · Python

Palindrome Permutation II

Palindrome Permutation II: a Python solution using depth-first search. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Depth-first search
Source
walkccc LeetCode Solutions
Length
43 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Depth-first search

For Palindrome Permutation II, the implementation follows one branch at a time, making it suitable for components, trees, backtracking, or dependency exploration.

  1. Define the state carried into one recursive or stack frame.
  2. Mark or choose the current state before exploring children.
  3. Combine child results or undo the choice when the branch finishes.

Code notes

  • 43 lines of Python from the credited upstream file 267.py.
  • The implementation visibly relies on sequence storage, hash lookup.
  • No explicit loop blocks detected, together with recursive traversal.

Complexity

Count unique states for graph traversal; for backtracking, count the branching factor and maximum depth.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from walkccc LeetCode Solutions by P.-Y. Chen (walkccc) and is used under the MIT licence.

Open problem ↗Original source ↗
Full codePalindrome Permutation II · PythonPython
Use this to learn the idea, then write your own version.
class Solution:  def generatePalindromes(self, s: str) -> list[str]:    count = collections.Counter(s)     # Count odd ones.    odd = sum(value & 1 for value in count.values())     # Can't form any palindrome.    if odd > 1:      return []     ans = []    candidates = []    mid = ''     # Get the mid and the candidates characters.    for key, value in count.items():      if value % 2 == 1:        mid += key      for _ in range(value // 2):        candidates.append(key)     def dfs(used: list[bool], path: list[str]) -> None:      """Generates all the unique palindromes from the candidates."""      if len(path) == len(candidates):        ans.append(''.join(path) + mid + ''.join(reversed(path)))        return       for i, candidate in enumerate(candidates):        if used[i]:          continue        if i > 0 and candidate == candidates[i - 1] and not used[i - 1]:          continue        used[i] = True        path.append(candidate)        dfs(used, path)        path.pop()        used[i] = False     # Backtrack to generate the ans strings.    dfs([False] * len(candidates), [])    return ans

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