Python solution with detailed explanation

  • 1


    Substring with Concatenation of All Words

    Two Pointer Sliding Window

    • Say length of each word is wl and we have wc words. total_len of substring = wl * wc
    • Two pointer sliding window solution. Initialize a window [start, end] = [0, total_len-1]
    • Now we slide through s and capture every substring. We then test if this substring is valid and meets our conditions.
    • We prepare a frequency map of input words. We call it ctr.
    • We initialize a dictionary called seen.
    • Now we pick every word (called next_word) sequentially in our window. Note there will be only wc words each of length wl.
    • If next_word is not in ctr then we know the window is invalid. If it is, but the frequency in seen is already equal to the frequency in ctr, then we know we have an extra occurence of this word in the window and the window is invalid. Otherwise, we increment its frequency in seen.
    • If every word in this window is valid, then the entire window is valid.
    • Time complexity: (len(s) - wl * wc) * wc or number_of_windows * words_per_window
    • Space complexity: O(wc) + O(wc)
    from collections import Counter, defaultdict
    class Solution(object):
        def test(self, sub_str, word_len, ctr):
            i, seen = 0, defaultdict(int)
            while i < len(sub_str):
                next_word = sub_str[i:i+word_len]
                if next_word not in ctr or seen[next_word] == ctr[next_word]:
                    return False
                seen[next_word], i = seen[next_word] + 1, i+word_len
            return True
        def findSubstring(self, s, words):
            :type s: str
            :type words: List[str]
            :rtype: List[int]
            start, end, result = 0, len(words)*len(words[0])-1, []
            ctr = Counter(words)
            while end < len(s):
                if self.test(s[start:end+1], len(words[0]), ctr):
                start, end = start+1, end+1
            return result

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