820. Short Encoding of Words

https://leetcode.com/problems/short-encoding-of-words/

A valid encoding of an array of words is any reference string s and array of indices indices such that:

words.length == indices.length 	
The reference string s ends with the '#' character. 	
For each index indices[i], the **substring** of s starting from indices[i] and up to (but not including) the next '#' character is equal to words[i].Given an array of words, return __the **length of the shortest reference string** __s__ possible of any **valid encoding** of __words__.__

Example 1: Input: words = [“time”, “me”, “bell”] Output: 10 Explanation: A valid encoding would be s = “time#bell#” and indices = [0, 2, 5]. words[0] = “time”, the substring of s starting from indices[0] = 0 to the next ‘#’ is underlined in “time#bell#” words[1] = “me”, the substring of s starting from indices[1] = 2 to the next ‘#’ is underlined in “time#bell#” words[2] = “bell”, the substring of s starting from indices[2] = 5 to the next ‘#’ is underlined in “time#bell#” Example 2: Input: words = [“t”] Output: 2 Explanation: A valid encoding would be s = “t#” and indices = [0].

Constraints:

1 <= words.length <= 2000 	
1 <= words[i].length <= 7 	
words[i] consists of only lowercase letters.

  • code
class Solution:
    def minimumLengthEncoding(self, words: List[str]) -> int:
        words = list(set(words))
        m = {}
        
        for word in words:
            node = m
            for c in word[::-1]:
                if c not in node:
                    node[c] = {}
                node = node[c]
            
        res = 0
        for word in words:
            node = m
            for c in word[::-1]:
                node = node[c]
            if not node: # reach to the end, otherwise like 'me' with 'time', don't need to add 'me'
                res += len(word) + 1
                
        return res
                
                
  • code using defaultdict
class Solution:
    def minimumLengthEncoding(self, words: List[str]) -> int:
        words = list(set(words))
        TrieNode = lambda: defaultdict(TrieNode)
        t = TrieNode()
        
        for word in words:
            node = t
            for c in word[::-1]:
                # if c not in node:
                    # node[c] = {}
                node = node[c]
            
        res = 0
        for word in words:
            node = t
            for c in word[::-1]:
                node = node[c]
            if not node: # reach to the end, otherwise like 'me' with 'time', don't need to add 'me'
                res += len(word) + 1
                
        return res