1639 - Number of Ways to Form a Target String Given a Dictionary (Hard)
Problem Link
https://leetcode.com/problems/number-of-ways-to-form-a-target-string-given-a-dictionary/
Problem Statement
You are given a list of strings of the same length words and a string target.
Your task is to form target using the given words under the following rules:
targetshould be formed from left to right.- To form the
ithcharacter (0-indexed) oftarget, you can choose thekthcharacter of thejthstring inwordsiftarget[i] = words[j][k]. - Once you use the
kthcharacter of thejthstring ofwords, you can no longer use thexthcharacter of any string inwordswherex <= k. In other words, all characters to the left of or at indexkbecome unusuable for every string. - Repeat the process until you form the string
target.
Notice that you can use multiple characters from the same string in words provided the conditions above are met.
Return the number of ways to form target from words. Since the answer may be too large, return it modulo 1e9 + 7.
Example 1:
Input: words = ["acca","bbbb","caca"], target = "aba"
Output: 6
Explanation: There are 6 ways to form target.
"aba" -> index 0 ("acca"), index 1 ("bbbb"), index 3 ("caca")
"aba" -> index 0 ("acca"), index 2 ("bbbb"), index 3 ("caca")
"aba" -> index 0 ("acca"), index 1 ("bbbb"), index 3 ("acca")
"aba" -> index 0 ("acca"), index 2 ("bbbb"), index 3 ("acca")
"aba" -> index 1 ("caca"), index 2 ("bbbb"), index 3 ("acca")
"aba" -> index 1 ("caca"), index 2 ("bbbb"), index 3 ("caca")
Example 2:
Input: words = ["abba","baab"], target = "bab"
Output: 4
Explanation: There are 4 ways to form target.
"bab" -> index 0 ("baab"), index 1 ("baab"), index 2 ("abba")
"bab" -> index 0 ("baab"), index 1 ("baab"), index 3 ("baab")
"bab" -> index 0 ("baab"), index 2 ("baab"), index 3 ("baab")
"bab" -> index 1 ("abba"), index 2 ("baab"), index 3 ("baab")
Constraints:
1 <= words.length <= 10001 <= words[i].length <= 1000- All strings in
wordshave the same length. 1 <= target.length <= 1000words[i]andtargetcontain only lowercase English letters.
Approach 1: Dynamic Programming
- C++
- Python
class Solution {
public:
int numWays(vector<string>& words, string target) {
int M = 1e9 + 7, n = words[0].size(), m = target.size();
vector<vector<long long>> dp(n, vector<long long>(m, -1));
vector<vector<long long>> cnt(n, vector<long long>(26));
// count character frequency for each j-th column
for (int i = 0; i < words.size(); i++) {
for (int j = 0; j < n; j++) {
cnt[j][words[i][j] - 'a']++;
}
}
function<int(int,int)> dfs = [&](int i, int j) {
// reach end of target
if (j == m) return 1;
// reach end of words
if (i == n) return 0;
if (dp[i][j] != -1) return (int) dp[i][j];
// skip i-th character
int res = dfs(i + 1, j), c = target[j] - 'a';
if (cnt[i][c]) res = (res + cnt[i][c] * dfs(i + 1, j + 1)) % M;
// memoize the result
return (int) (dp[i][j] = res);
};
return dfs(0, 0);
}
};
class Solution:
# take or not take dp
def numWays(self, words: List[str], target: str) -> int:
M = 10 ** 9 + 7
n, m = len(words[0]), len(target)
cnt = [[0] * 26 for _ in range(n)]
# count character frequency for each j-th column
for i in range(len(words)):
for j in range(n):
cnt[j][ord(words[i][j]) - ord('a')] += 1
@lru_cache(None)
def dfs(i, j):
# reach target
if j == m:
return 1
# reach the end of the word
if i == n:
return 0
# not take
res = dfs(i + 1, j)
# take
c = ord(target[j]) - ord('a')
if cnt[i][c] > 0:
res += cnt[i][c] * dfs(i + 1, j + 1)
return res % M
return dfs(0, 0)