Given a string s, return the number of distinct non-empty subsequences of s
. Since the answer may be very large, return it modulo 10^9 + 7
.
A subsequence of a string is a new string that is formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (i.e., "ace"
is a subsequence of "abcde"
while "aec"
is not.
Example 1:
Input: s = "abc"
Output: 7
Explanation: The 7 distinct subsequences are "a", "b", "c", "ab", "ac", "bc", and "abc".
Example 2:
Input: s = "aba"
Output: 6
Explanation: The 6 distinct subsequences are "a", "b", "ab", "aa", "ba", and "aba".
Example 3:
Input: s = "aaa"
Output: 3
Explanation: The 3 distinct subsequences are "a", "aa" and "aaa".
Constraints:
1 <= s.length <= 2000
s
consists of lowercase English letters.
Problem Analysis:
We can use dynamic programming to solve this problem. When we iterate the string, we record number of distinct subsequences which end with ith character.
When i = 0, there is only one subsequence with the first character.
If i != 0, here we assume the number of distinct subsequences in i-1 case is sum(i-1), for these subsequences, we add ith character in the end of each subsequence to form new subsequences of i case, so sum(i) = sum(i-1).
But here we still need to add 1, as we can regard the ith character as a subsequence.
We add all number of distinct subsequences in i case, then we get the answer.
Solution
class Solution {
public:
int distinctSubseqII(string s) {
const int mod = 1e9 + 7;
vector<long long> ends(26);
for (const auto ch : s)
ends[ch - 'a'] = accumulate(begin(ends), end(ends), 1LL) % mod;
return accumulate(begin(ends), end(ends), 0LL) % mod;
}
};
Time complexity is O(n)
Space complexity is O(1)