Given a list of words, each word consists of English lowercase letters.
Let’s say word1 is a predecessor of word2 if and only if we can add exactly one letter anywhere in word1 to make it equal to word2. For example, "abc" is a predecessor of "abac".
A word chain is a sequence of words [word_1, word_2, ..., word_k] with k >= 1, where word_1 is a predecessor of word_2, word_2 is a predecessor of word_3, and so on.
Return the longest possible length of a word chain with words chosen from the given list of words.
Dynamic programming approach: Keep a record of the max length all possible predecessors
class Solution:
def longestStrChain(self, words: List[str]) -> int:
# sort the list first by length to make sure we visited
# all possible predecessor of a word before we check this word
dp = {}
for w in sorted(words, key=len):
max_prev = 0
for i in range(len(w)):
# the word with just one missing letter
max_prev = max(dp.get(w[:i] + w[i+1 :], 0)+1, max_prev)
dp[w] = max_prev
return max(dp.values())