# Time:  O(n)
# Space: O(t), t is the number of nodes in trie

# In English, we have a concept called root, which can be followed by
# some other words to form another longer word - let's call this word successor.
# For example, the root an, followed by other, which can form another word another.
#
# Now, given a dictionary consisting of many roots and a sentence.
# You need to replace all the successor in the sentence with the root forming it.
# If a successor has many roots can form it, replace it with the root with the shortest length.
#
# You need to output the sentence after the replacement.
#
# Example 1:
# Input: dict = ["cat", "bat", "rat"]
# sentence = "the cattle was rattled by the battery"
# Output: "the cat was rat by the bat"
# Note:
# The input will only have lower-case letters.
# 1 <= dict words number <= 1000
# 1 <= sentence words number <= 1000
# 1 <= root length <= 100
# 1 <= sentence words length <= 1000

import collections


class Solution(object):
    def replaceWords(self, dictionary, sentence):
        """
        :type dictionary: List[str]
        :type sentence: str
        :rtype: str
        """
        _trie = lambda: collections.defaultdict(_trie)
        trie = _trie()
        for word in dictionary:
            reduce(dict.__getitem__, word, trie).setdefault("_end")

        def replace(word):
            curr = trie
            for i, c in enumerate(word):
                if c not in curr:
                    break
                curr = curr[c]
                if "_end" in curr:
                    return word[:i+1]
            return word

        return " ".join(map(replace, sentence.split()))
