Leetcode: Palindrome Partitioning

Question

Given a string s, partition s such that every substring of the partition is a palindrome.

Return all possible palindrome partitioning of s.

For example, given s = “aab”,
Return

[
[“aa”,”b”],
[“a”,”a”,”b”]
]
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Hide Similar Problems (H) Palindrome Partitioning II (M) Word Break

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Solution 1

Analysis

Get idea from here1 and here2.

DFS is used to solve this problem.

Code 1

class Solution(object):    def partition(self, s):        """        :type s: str        :rtype: List[List[str]]        """        res,temp = [],[]        self.dfs(res, temp, s)        return res    def dfs(self, res, temp, s):        if len(s)==0:            res.append(temp)            return         for ind in range(len(s)):            substr = s[0:ind+1]            if self.isPalindrome(substr):                self.dfs(res, temp+[substr], s[ind+1:])    def isPalindrome(self,s):        i, j = 0, len(s)-1        while i<j:            if s[i]!=s[j]:                return False            i += 1            j -= 1        return True

Another Similar Code 2

    def dfs(self, res, temp, s):        if len(s)==0:            res.append(temp[:])        for ind in range(len(s)):            substr = s[0:ind+1]            if self.isPalindrome(substr):                temp.append(substr)                self.dfs(res, temp, s[ind+1:])                temp.pop()

For code 1, temp+[substr] must be input variable of self.dfs()
For code2, we can put temp.append() and temp.pop() out of self.dfs(), but should use res.append(temp[:]) instead of res.append(temp) in if clause, otherwise res will be empty.

In code 1, each temp in different dfs() will be a new temp (python will create a one with the same value). In code 2, temp is pass-by-reference, all manipulation are made on the same object. One elem will be poped after it is appended, that is why it would be empty.

The reason is in my another article.

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Solution 2

using dynamic programming

class Solution(object):    def partition(self, s):        """        :type s: str        :rtype: List[List[str]]        """        res, temp = [], []        self.T = self.table(s)        self.helper(res, temp, s,  0)        return res    def helper(self, res, temp, s, pos):        if pos==len(s):            res.append(temp)        for ind in range(pos, len(s)):            if self.T[pos][ind]==True:                self.helper(res, temp+[s[pos:ind+1]], s, ind+1)    def table(self,s):        res = [x[:] for x in [[False,]*len(s)]*len(s)]        for ind in range(len(s)):            res[ind][ind] = True        for ind in range(len(s)):            l,r = ind-1, ind            while l>=0 and r<len(s) and s[l]==s[r]:                res[l][r] = True                l -= 1                r += 1            l,r = ind-1, ind+1            while l>=0 and r<len(s)  and s[l]==s[r]:                res[l][r] = True                l -= 1                r += 1        return res

Error

1.

res = [x[:] for x in [[False,]*len(s)]*len(s)]

refer to my article.

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Summary

Actually, these two methods are the same. Method 1 has a small shortcoming that some ranges are calculated repeatedly. It is compensated by method 2 by using dynamic programming, recording the historic result.

Take home message

writing code into different block/functions. It is easy to run that code in our brain. For each function, we should think as many cases as possible to make sure that is right.