code!{ pub fn solve() { crate::prepare!(); for _ in 0..sv!(usize) { sc!(n: u64); let mut ans = 0u128; ans += divisor_sum(n * 2 + 1); ans += divisor_sum(n / 2); ans -= divisor_sum(n) * 2; ans -= n as u128 * 2 + 1; pp!(ans % 998244353); } } pub fn divisor_sum(n: u64) -> u128 { let out = |x: u64, y: u32| -> bool { x * y as u64 > n }; let cut = |x: u64, dx: u32, dy: u32| -> bool { (x as u128) * (x as u128) * (dy as u128) >= (n as u128) * (dx as u128) }; let sn = n.isqrt(); let cn = (n as f64).powf(0.34) as u64; let mut x = n / sn; let mut y = (n / x + 1) as u32; let mut ret: u128 = 0; let mut stack: Vec<(u32, u32)> = vec![]; stack.push((1, 0)); stack.push((1, 1)); while let Some((mut lx, mut ly)) = stack.pop() { while out(x + lx as u64, y - ly) { ret += (x * ly as u64 + (ly as u64 + 1) * (lx as u64 - 1) / 2) as u128; x += lx as u64; y -= ly; } if y <= cn as u32 { break; } let (mut rx, mut ry) = (lx, ly); while let Some((nlx, nly)) = stack.pop() { if out(x + nlx as u64, y - nly) { stack.push((nlx, nly)); lx = nlx; ly = nly; break; } rx = nlx; ry = nly; } loop { let mx = lx + rx; let my = ly + ry; if out(x + mx as u64, y - my) { stack.push((mx, my)); lx = mx; ly = my; } else if cut(x + mx as u64, lx, ly) { break; } else { rx = mx; ry = my; } } } for y in 1..y { ret += (n / y as u64) as u128; } ret * 2 - (sn * sn) as u128 } } fn main()->std::io::Result<()>{use std::{env::temp_dir,fs::File,io::Write,process::{exit,Command}};let e=temp_dir().join("bin1FE69F18");let mut b=Vec::with_capacity(B.len()*8/6);let mut x=0;let mut t=vec![64;256];for i in 0..64{t[b"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"[i]as usize]=i as u8;}for(i,c)in B.iter().map(|&c|t[c as usize]).filter(|&c|c<64).enumerate(){x=match i%4{0=>c<<2,1=>{b.push(x|c>>4);c<<4}2=>{b.push(x|c>>2);c<<6}_=>{b.push(x|c);0}}}Write::write_all(&mut File::create(&e)?,&b)?;#[cfg(unix)]std::fs::set_permissions(&e,std::os::unix::fs::PermissionsExt::from_mode(0o755))?;exit(Command::new(&e).status()?.code().unwrap())}#[macro_export]macro_rules!code{($($t:tt)*)=>{}}const B:&[u8]=b"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";