# S 每个字母就是两种状态:选或者不选
# https://leetcode.wang/leetcode-115-Distinct-Subsequences.html
时间复杂度:O()
空间复杂度:O()
动态规划
dp含义:dp[i][j] 以i-1结尾的子序列和以j-1结尾的子序列个数
dp推导:不同状态分别对待,如果相等时,用和不用
class Solution:
def numDistinct(self, s: str, t: str) -> int:
m = len(s)
n = len(t)
dp = [[0] * (n + 1) for _ in range(m+1)]
for i in range(m+1):
dp[i][0] = 1
for i in range(1, m+1):
for j in range(1, n+1):
if s[i-1] == t[j-1]:
dp[i][j] = dp[i-1][j-1] + dp[i-1][j]
else: # 根据dp含义, 不相等也要传播下去
dp[i][j] = dp[i-1][j]
return dp[-1][-1]