use std::io::Read; fn get_word() -> String { let stdin = std::io::stdin(); let mut stdin=stdin.lock(); let mut u8b: [u8; 1] = [0]; loop { let mut buf: Vec = Vec::with_capacity(16); loop { let res = stdin.read(&mut u8b); if res.unwrap_or(0) == 0 || u8b[0] <= b' ' { break; } else { buf.push(u8b[0]); } } if buf.len() >= 1 { let ret = String::from_utf8(buf).unwrap(); return ret; } } } fn get() -> T { get_word().parse().ok().unwrap() } // Segment Tree. This data structure is useful for fast folding on intervals of an array // whose elements are elements of monoid I. Note that constructing this tree requires the identity // element of I and the operation of I. // Verified by: yukicoder No. 2220 (https://yukicoder.me/submissions/841554) #[derive(Clone)] struct SegTree { n: usize, orign: usize, dat: Vec, op: BiOp, e: I, } impl SegTree where BiOp: Fn(I, I) -> I, I: Copy { pub fn new(n_: usize, op: BiOp, e: I) -> Self { let mut n = 1; while n < n_ { n *= 2; } // n is a power of 2 SegTree {n: n, orign: n_, dat: vec![e; 2 * n - 1], op: op, e: e} } // ary[k] <- v pub fn update(&mut self, idx: usize, v: I) { debug_assert!(idx < self.orign); let mut k = idx + self.n - 1; self.dat[k] = v; while k > 0 { k = (k - 1) / 2; self.dat[k] = (self.op)(self.dat[2 * k + 1], self.dat[2 * k + 2]); } } // [a, b) (half-inclusive) // http://proc-cpuinfo.fixstars.com/2017/07/optimize-segment-tree/ #[allow(unused)] pub fn query(&self, rng: std::ops::Range) -> I { let (mut a, mut b) = (rng.start, rng.end); debug_assert!(a <= b); debug_assert!(b <= self.orign); let mut left = self.e; let mut right = self.e; a += self.n - 1; b += self.n - 1; while a < b { if (a & 1) == 0 { left = (self.op)(left, self.dat[a]); } if (b & 1) == 0 { right = (self.op)(self.dat[b - 1], right); } a = a / 2; b = (b - 1) / 2; } (self.op)(left, right) } } struct Rng { x: u64, } impl Rng { fn new() -> Self { use std::hash::{Hasher, BuildHasher}; let hm = std::collections::HashMap::::new(); let mut hash = hm.hasher().build_hasher(); hash.write_u32(8128); Rng { x: hash.finish(), } } fn next(&mut self) -> u32 { let a = 0xdead_c0de_0013_3331u64; let b = 2457; self.x = self.x.wrapping_mul(a).wrapping_add(b); let x = self.x; ((x ^ x << 10) >> 32) as _ } } // https://yukicoder.me/problems/no/2761 (3) // 文字列の位置が固定 (シフトしない) であるため、特にローリングハッシュである必要はなく、位置ごとに乱数を生成すれば良い。 // また ModInt である必要もないので xor で演算している (zobrist hash と同様)。これで解説より定数倍高速である。 fn main() { let mut rng = Rng::new(); let n: usize = get(); let l: usize = get(); let q: usize = get(); let mut s = vec![]; for _ in 0..n { s.push(get_word().bytes().collect::>()); } let mut val = vec![[0u64; 26]; l]; for i in 0..l { for j in 0..26 { val[i][j] = rng.next() as u64; val[i][j] |= (rng.next() as u64) << 32; } } let mut st = vec![SegTree::new(l, |x, y| x ^ y, 0); n]; for i in 0..n { for j in 0..l { let idx = (s[i][j] - b'a') as usize; st[i].update(j, val[j][idx]); } } for _ in 0..q { let ty: i32 = get(); if ty == 1 { let k = get::() - 1; let c: char = get(); let d: char = get(); let v = val[k][(d as u8 - b'a') as usize]; for i in 0..n { if s[i][k] == c as u8 { s[i][k] = d as u8; st[i].update(k, v); } } } else { let mut sum = 0; let t = get_word().bytes().collect::>(); for i in 0..t.len() { sum ^= val[i][(t[i] - b'a') as usize]; } let mut ans = 0; for i in 0..n { if st[i].query(0..t.len()) == sum { ans += 1; } } println!("{}", ans); } } }