QOJ.ac
QOJ
ID | 题目 | 提交者 | 结果 | 用时 | 内存 | 语言 | 文件大小 | 提交时间 | 测评时间 |
---|---|---|---|---|---|---|---|---|---|
#552345 | #9251. Graph Changing | ucup-team296# | AC ✓ | 192ms | 2352kb | Rust | 44.6kb | 2024-09-07 22:09:43 | 2024-09-07 22:09:44 |
Judging History
answer
//
pub mod solution {
//{"name":"uc9_j","group":"Manual","url":"","interactive":false,"timeLimit":2000,"tests":[{"input":"","output":""}],"testType":"multiNumber","input":{"type":"stdin","fileName":null,"pattern":null},"output":{"type":"stdout","fileName":null,"pattern":null},"languages":{"java":{"taskClass":"uc9_j"}}}
use crate::algo_lib::collections::md_arr::arr2d::Arr2d;
use crate::algo_lib::graph::all_distances::AllDistances;
use crate::algo_lib::graph::edges::bi_weighted_edge::BiWeightedEdge;
use crate::algo_lib::graph::graph::Graph;
use crate::algo_lib::io::input::Input;
use crate::algo_lib::io::output::Output;
use crate::algo_lib::misc::test_type::TaskType;
use crate::algo_lib::misc::test_type::TestType;
type PreCalc = Vec<Vec<Arr2d<i32>>>;
fn solve(input: &mut Input, out: &mut Output, _test_case: usize, data: &mut PreCalc) {
let t = input.read_size();
let n = input.read_size();
let k = input.read_size();
let x = input.read_size();
let y = input.read_size();
if t == 0 {
out.print_line(x.abs_diff(y));
} else if k == 1 {
out.print_line(1);
} else if n <= k {
out.print_line(-1);
} else if k == 2 {
if n == 3 {
if t == 1 {
if (x, y) == (1, 3) || (x, y) == (3, 1) {
out.print_line(1);
} else {
out.print_line(-1);
}
} else {
out.print_line(-1);
}
} else {
if t % 2 == 0 {
out.print_line(x.abs_diff(y));
} else if x.abs_diff(y) == 1 {
if n == 4 && ((x, y) == (2, 3) || (x, y) == (3, 2)) {
out.print_line(3);
} else {
out.print_line(2);
}
} else {
out.print_line(1);
}
}
} else if t == 1 {
if x.abs_diff(y) >= k {
out.print_line(1);
} else if x.abs_diff(n) >= k && y.abs_diff(n) >= k
|| x.abs_diff(1) >= k && y.abs_diff(1) >= k
{
out.print_line(2);
} else if (x.abs_diff(n) >= k || x.abs_diff(1) >= k)
&& (y.abs_diff(n) >= k || y.abs_diff(1) >= k)
{
out.print_line(3);
} else {
out.print_line(-1);
}
} else if k >= 4 || n > 7 {
out.print_line(-1);
} else {
if data[n].len() > t {
out.print_line(if data[n][t][(x - 1, y - 1)] == i32::MAX {
-1
} else {
data[n][t][(x - 1, y - 1)]
});
} else {
out.print_line(-1);
}
}
}
pub static TEST_TYPE: TestType = TestType::MultiNumber;
pub static TASK_TYPE: TaskType = TaskType::Classic;
pub(crate) fn run(mut input: Input, mut output: Output) -> bool {
let mut res = vec![Vec::new(); 8];
for n in 4..=7 {
let mut graph = Graph::new(n);
for i in 1..n {
graph.add_edge(BiWeightedEdge::new(i - 1, i, 1));
}
while graph.edge_count() > 0 {
let d = graph.all_distances();
graph.clear();
for i in 0..n {
for j in 0..i {
if d[(i, j)] != i32::MAX && d[(i, j)] >= 3 {
graph.add_edge(BiWeightedEdge::new(i, j, 1));
}
}
}
res[n].push(d);
}
}
let mut pre_calc = res;
match TEST_TYPE {
TestType::Single => solve(&mut input, &mut output, 1, &mut pre_calc),
TestType::MultiNumber => {
let t = input.read();
for i in 1..=t {
solve(&mut input, &mut output, i, &mut pre_calc);
}
}
TestType::MultiEof => {
let mut i = 1;
while input.peek().is_some() {
solve(&mut input, &mut output, i, &mut pre_calc);
i += 1;
}
}
}
output.flush();
match TASK_TYPE {
TaskType::Classic => {
input.skip_whitespace();
input.peek().is_none()
}
TaskType::Interactive => true,
}
}
}
pub mod algo_lib {
pub mod collections {
pub mod dsu {
use crate::algo_lib::collections::iter_ext::collect::IterCollect;
use crate::algo_lib::collections::slice_ext::bounds::Bounds;
use crate::algo_lib::collections::slice_ext::legacy_fill::LegacyFill;
use std::cell::Cell;
#[derive(Clone)]
pub struct DSU {
id: Vec<Cell<u32>>,
size: Vec<u32>,
count: usize,
}
impl DSU {
pub fn new(n: usize) -> Self {
Self {
id: (0..n).map(|i| Cell::new(i as u32)).collect_vec(),
size: vec![1; n],
count: n,
}
}
pub fn size(&self, i: usize) -> usize {
self.size[self.get(i)] as usize
}
#[allow(clippy::len_without_is_empty)]
pub fn len(&self) -> usize {
self.id.len()
}
pub fn iter(&self) -> impl Iterator<Item = usize> + '_ {
self.id.iter().enumerate().filter_map(|(i, id)| {
if (i as u32) == id.get() {
Some(i)
} else {
None
}
})
}
pub fn set_count(&self) -> usize {
self.count
}
pub fn join(&mut self, mut a: usize, mut b: usize) -> bool {
a = self.get(a);
b = self.get(b);
if a == b {
false
} else {
self.size[a] += self.size[b];
self.id[b].replace(a as u32);
self.count -= 1;
true
}
}
pub fn get(&self, i: usize) -> usize {
if self.id[i].get() != i as u32 {
let res = self.get(self.id[i].get() as usize);
self.id[i].replace(res as u32);
}
self.id[i].get() as usize
}
pub fn clear(&mut self) {
self.count = self.id.len();
self.size.legacy_fill(1);
self.id.iter().enumerate().for_each(|(i, id)| {
id.replace(i as u32);
});
}
pub fn parts(&self) -> Vec<Vec<usize>> {
let roots = self.iter().collect_vec();
let mut res = vec![Vec::new(); roots.len()];
for i in 0..self.id.len() {
res[roots.as_slice().bin_search(&self.get(i)).unwrap()].push(i);
}
res
}
}
}
pub mod iter_ext {
pub mod collect {
pub trait IterCollect<T>: Iterator<Item = T> + Sized {
fn collect_vec(self) -> Vec<T> {
self.collect()
}
}
impl<T, I: Iterator<Item = T> + Sized> IterCollect<T> for I {}
}
}
pub mod md_arr {
pub mod arr2d {
use crate::algo_lib::collections::slice_ext::legacy_fill::LegacyFill;
use crate::algo_lib::io::input::Input;
use crate::algo_lib::io::input::Readable;
use crate::algo_lib::io::output::Output;
use crate::algo_lib::io::output::Writable;
use std::ops::Index;
use std::ops::IndexMut;
use std::ops::Range;
use std::slice::Iter;
use std::vec::IntoIter;
#[derive(Clone, Eq, PartialEq, Default)]
pub struct Arr2d<T> {
d1: usize,
d2: usize,
data: Vec<T>,
}
impl<T: Clone> Arr2d<T> {
pub fn new(d1: usize, d2: usize, value: T) -> Self {
Self {
d1,
d2,
data: vec![value; d1 * d2],
}
}
}
impl<T> Arr2d<T> {
pub fn generate<F>(d1: usize, d2: usize, mut gen: F) -> Self
where
F: FnMut(usize, usize) -> T,
{
let mut data = Vec::with_capacity(d1 * d2);
for i in 0usize..d1 {
for j in 0usize..d2 {
data.push(gen(i, j));
}
}
Self { d1, d2, data }
}
pub fn d1(&self) -> usize {
self.d1
}
pub fn d2(&self) -> usize {
self.d2
}
pub fn iter(&self) -> Iter<'_, T> {
self.data.iter()
}
pub fn iter_mut(&mut self) -> impl Iterator<Item = &mut T> {
self.data.iter_mut()
}
pub fn row(&self, row: usize) -> impl Iterator<Item = &T> {
assert!(row < self.d1);
self.data.iter().skip(row * self.d2).take(self.d2)
}
pub fn row_mut(&mut self, row: usize) -> impl Iterator<Item = &mut T> {
assert!(row < self.d1);
self.data.iter_mut().skip(row * self.d2).take(self.d2)
}
pub fn column(&self, col: usize) -> impl Iterator<Item = &T> {
assert!(col < self.d2);
self.data.iter().skip(col).step_by(self.d2)
}
pub fn column_mut(&mut self, col: usize) -> impl Iterator<Item = &mut T> {
assert!(col < self.d2);
self.data.iter_mut().skip(col).step_by(self.d2)
}
pub fn swap(&mut self, r1: usize, c1: usize, r2: usize, c2: usize) {
assert!(r1 < self.d1);
assert!(r2 < self.d1);
assert!(c1 < self.d2);
assert!(c2 < self.d2);
self.data.swap(r1 * self.d2 + c1, r2 * self.d2 + c2);
}
pub fn rows(&self) -> Range<usize> {
0..self.d1
}
pub fn cols(&self) -> Range<usize> {
0..self.d2
}
pub fn swap_rows(&mut self, r1: usize, r2: usize) {
assert!(r1 < self.d1);
assert!(r2 < self.d1);
if r1 == r2 {
return;
}
let (r1, r2) = (r1.min(r2), r1.max(r2));
let (head, tail) = self.data.split_at_mut(r2 * self.d2);
head[r1 * self.d2..(r1 + 1) * self.d2].swap_with_slice(&mut tail[..self.d2]);
}
}
impl<T: Clone> Arr2d<T> {
pub fn fill(&mut self, elem: T) {
self.data.legacy_fill(elem);
}
pub fn transpose(&self) -> Self {
Self::generate(self.d2, self.d1, |i, j| self[(j, i)].clone())
}
}
impl<T> Index<(usize, usize)> for Arr2d<T> {
type Output = T;
fn index(&self, (row, col): (usize, usize)) -> &Self::Output {
assert!(row < self.d1);
assert!(col < self.d2);
&self.data[self.d2 * row + col]
}
}
impl<T> Index<usize> for Arr2d<T> {
type Output = [T];
fn index(&self, index: usize) -> &Self::Output {
&self.data[self.d2 * index..self.d2 * (index + 1)]
}
}
impl<T> IndexMut<(usize, usize)> for Arr2d<T> {
fn index_mut(&mut self, (row, col): (usize, usize)) -> &mut T {
assert!(row < self.d1);
assert!(col < self.d2);
&mut self.data[self.d2 * row + col]
}
}
impl<T> IndexMut<usize> for Arr2d<T> {
fn index_mut(&mut self, index: usize) -> &mut [T] {
&mut self.data[self.d2 * index..self.d2 * (index + 1)]
}
}
impl<T> AsRef<Vec<T>> for Arr2d<T> {
fn as_ref(&self) -> &Vec<T> {
&self.data
}
}
impl<T> AsMut<Vec<T>> for Arr2d<T> {
fn as_mut(&mut self) -> &mut Vec<T> {
&mut self.data
}
}
impl<T: Writable> Writable for Arr2d<T> {
fn write(&self, output: &mut Output) {
let mut at = 0usize;
for i in 0usize..self.d1 {
if i != 0 {
output.put(b'\n');
}
for j in 0usize..self.d2 {
if j != 0 {
output.put(b' ');
}
self.data[at].write(output);
at += 1;
}
}
}
}
impl<T> IntoIterator for Arr2d<T> {
type Item = T;
type IntoIter = IntoIter<T>;
fn into_iter(self) -> Self::IntoIter {
self.data.into_iter()
}
}
impl<'a, T> IntoIterator for &'a Arr2d<T> {
type Item = &'a T;
type IntoIter = Iter<'a, T>;
fn into_iter(self) -> Self::IntoIter {
self.iter()
}
}
pub trait Arr2dRead {
fn read_table<T: Readable>(&mut self, d1: usize, d2: usize) -> Arr2d<T>;
fn read_int_table(&mut self, d1: usize, d2: usize) -> Arr2d<i32>;
fn read_long_table(&mut self, d1: usize, d2: usize) -> Arr2d<i64>;
fn read_size_table(&mut self, d1: usize, d2: usize) -> Arr2d<usize>;
fn read_char_table(&mut self, d1: usize, d2: usize) -> Arr2d<char>;
}
impl Arr2dRead for Input<'_> {
fn read_table<T: Readable>(&mut self, d1: usize, d2: usize) -> Arr2d<T> {
Arr2d::generate(d1, d2, |_, _| self.read())
}
fn read_int_table(&mut self, d1: usize, d2: usize) -> Arr2d<i32> {
self.read_table(d1, d2)
}
fn read_long_table(&mut self, d1: usize, d2: usize) -> Arr2d<i64> {
self.read_table(d1, d2)
}
fn read_size_table(&mut self, d1: usize, d2: usize) -> Arr2d<usize> {
self.read_table(d1, d2)
}
fn read_char_table(&mut self, d1: usize, d2: usize) -> Arr2d<char> {
self.read_table(d1, d2)
}
}
pub trait Arr2dCharWrite {
fn print_table(&mut self, table: &Arr2d<char>);
}
impl Arr2dCharWrite for Output<'_> {
fn print_table(&mut self, table: &Arr2d<char>) {
let mut at = 0usize;
for _ in 0..table.d1 {
for _ in 0..table.d2 {
self.print(table.data[at]);
at += 1;
}
self.put(b'\n');
}
}
}
impl<T: Readable> Readable for Arr2d<T> {
fn read(input: &mut Input) -> Self {
let d1 = input.read();
let d2 = input.read();
input.read_table(d1, d2)
}
}
}
}
pub mod min_max {
pub trait MinimMaxim<Rhs = Self>: PartialOrd + Sized {
fn minim(&mut self, other: Rhs) -> bool;
fn maxim(&mut self, other: Rhs) -> bool;
}
impl<T: PartialOrd> MinimMaxim for T {
fn minim(&mut self, other: Self) -> bool {
if other < *self {
*self = other;
true
} else {
false
}
}
fn maxim(&mut self, other: Self) -> bool {
if other > *self {
*self = other;
true
} else {
false
}
}
}
impl<T: PartialOrd> MinimMaxim<T> for Option<T> {
fn minim(&mut self, other: T) -> bool {
match self {
None => {
*self = Some(other);
true
}
Some(v) => v.minim(other),
}
}
fn maxim(&mut self, other: T) -> bool {
match self {
None => {
*self = Some(other);
true
}
Some(v) => v.maxim(other),
}
}
}
}
pub mod slice_ext {
pub mod bounds {
pub trait Bounds<T: PartialOrd> {
fn lower_bound(&self, el: &T) -> usize;
fn upper_bound(&self, el: &T) -> usize;
fn bin_search(&self, el: &T) -> Option<usize>;
fn more(&self, el: &T) -> usize;
fn more_or_eq(&self, el: &T) -> usize;
fn less(&self, el: &T) -> usize;
fn less_or_eq(&self, el: &T) -> usize;
}
impl<T: PartialOrd> Bounds<T> for [T] {
fn lower_bound(&self, el: &T) -> usize {
let mut left = 0;
let mut right = self.len();
while left < right {
let mid = left + ((right - left) >> 1);
if &self[mid] < el {
left = mid + 1;
} else {
right = mid;
}
}
left
}
fn upper_bound(&self, el: &T) -> usize {
let mut left = 0;
let mut right = self.len();
while left < right {
let mid = left + ((right - left) >> 1);
if &self[mid] <= el {
left = mid + 1;
} else {
right = mid;
}
}
left
}
fn bin_search(&self, el: &T) -> Option<usize> {
let at = self.lower_bound(el);
if at == self.len() || &self[at] != el {
None
} else {
Some(at)
}
}
fn more(&self, el: &T) -> usize {
self.len() - self.upper_bound(el)
}
fn more_or_eq(&self, el: &T) -> usize {
self.len() - self.lower_bound(el)
}
fn less(&self, el: &T) -> usize {
self.lower_bound(el)
}
fn less_or_eq(&self, el: &T) -> usize {
self.upper_bound(el)
}
}
}
pub mod legacy_fill {
// 1.50
pub trait LegacyFill<T> {
fn legacy_fill(&mut self, val: T);
}
impl<T: Clone> LegacyFill<T> for [T] {
fn legacy_fill(&mut self, val: T) {
for el in self.iter_mut() {
*el = val.clone();
}
}
}
}
}
pub mod vec_ext {
pub mod default {
pub fn default_vec<T: Default>(len: usize) -> Vec<T> {
let mut v = Vec::with_capacity(len);
for _ in 0..len {
v.push(T::default());
}
v
}
}
}
}
pub mod graph {
pub mod all_distances {
use crate::algo_lib::collections::md_arr::arr2d::Arr2d;
use crate::algo_lib::collections::min_max::MinimMaxim;
use crate::algo_lib::graph::edges::weighted_edge_trait::WeightedEdgeTrait;
use crate::algo_lib::graph::graph::Graph;
use crate::algo_lib::numbers::num_traits::algebra::SemiRing;
use crate::algo_lib::numbers::num_traits::ord::MinMax;
pub trait AllDistances<W: SemiRing + Ord + Copy + MinMax> {
fn all_distances(&self) -> Arr2d<W>;
}
impl<W: SemiRing + Ord + Copy + MinMax, E: WeightedEdgeTrait<W>> AllDistances<W> for Graph<E> {
fn all_distances(&self) -> Arr2d<W> {
let n = self.vertex_count();
let inf = W::max_val();
let mut res = Arr2d::new(n, n, inf);
for i in 0..n {
res[(i, i)] = W::zero();
for e in self[i].iter() {
res[(i, e.to())].minim(e.weight());
}
}
for k in 0..n {
for i in 0..n {
for j in 0..n {
let r1 = res[(i, k)];
let r2 = res[(k, j)];
if r1 != inf && r2 != inf {
res[(i, j)].minim(r1 + r2);
}
}
}
}
res
}
}
}
pub mod edges {
pub mod bi_edge {
use crate::algo_lib::graph::edges::bi_edge_trait::BiEdgeTrait;
use crate::algo_lib::graph::edges::edge_id::EdgeId;
use crate::algo_lib::graph::edges::edge_id::NoId;
use crate::algo_lib::graph::edges::edge_id::WithId;
use crate::algo_lib::graph::edges::edge_trait::BidirectionalEdgeTrait;
use crate::algo_lib::graph::edges::edge_trait::EdgeTrait;
#[derive(Clone)]
pub struct BiEdgeRaw<Id: EdgeId, P> {
to: u32,
id: Id,
payload: P,
}
impl<Id: EdgeId> BiEdgeRaw<Id, ()> {
pub fn new(from: usize, to: usize) -> (usize, Self) {
(
from,
Self {
to: to as u32,
id: Id::new(),
payload: (),
},
)
}
}
impl<Id: EdgeId, P> BiEdgeRaw<Id, P> {
pub fn with_payload(from: usize, to: usize, payload: P) -> (usize, Self) {
(from, Self::with_payload_impl(to, payload))
}
fn with_payload_impl(to: usize, payload: P) -> BiEdgeRaw<Id, P> {
Self {
to: to as u32,
id: Id::new(),
payload,
}
}
}
impl<Id: EdgeId, P: Clone> BidirectionalEdgeTrait for BiEdgeRaw<Id, P> {}
impl<Id: EdgeId, P: Clone> EdgeTrait for BiEdgeRaw<Id, P> {
type Payload = P;
const REVERSABLE: bool = true;
fn to(&self) -> usize {
self.to as usize
}
fn id(&self) -> usize {
self.id.id()
}
fn set_id(&mut self, id: usize) {
self.id.set_id(id);
}
fn reverse_id(&self) -> usize {
panic!("no reverse id")
}
fn set_reverse_id(&mut self, _: usize) {}
fn reverse_edge(&self, from: usize) -> Self {
Self::with_payload_impl(from, self.payload.clone())
}
fn payload(&self) -> &P {
&self.payload
}
}
impl<Id: EdgeId, P: Clone> BiEdgeTrait for BiEdgeRaw<Id, P> {}
pub type BiEdge<P> = BiEdgeRaw<NoId, P>;
pub type BiEdgeWithId<P> = BiEdgeRaw<WithId, P>;
}
pub mod bi_edge_trait {
use crate::algo_lib::graph::edges::edge_trait::EdgeTrait;
pub trait BiEdgeTrait: EdgeTrait {}
}
pub mod bi_weighted_edge {
use crate::algo_lib::graph::edges::bi_edge_trait::BiEdgeTrait;
use crate::algo_lib::graph::edges::edge_id::EdgeId;
use crate::algo_lib::graph::edges::edge_id::NoId;
use crate::algo_lib::graph::edges::edge_id::WithId;
use crate::algo_lib::graph::edges::edge_trait::BidirectionalEdgeTrait;
use crate::algo_lib::graph::edges::edge_trait::EdgeTrait;
use crate::algo_lib::graph::edges::weighted_edge_trait::WeightedEdgeTrait;
#[derive(Clone)]
pub struct BiWeightedEdgeRaw<W: Copy, Id: EdgeId, P> {
to: u32,
weight: W,
id: Id,
payload: P,
}
impl<W: Copy, Id: EdgeId> BiWeightedEdgeRaw<W, Id, ()> {
pub fn new(from: usize, to: usize, w: W) -> (usize, Self) {
(
from,
Self {
to: to as u32,
weight: w,
id: Id::new(),
payload: (),
},
)
}
}
impl<W: Copy, Id: EdgeId, P> BiWeightedEdgeRaw<W, Id, P> {
pub fn with_payload(from: usize, to: usize, w: W, payload: P) -> (usize, Self) {
(from, Self::with_payload_impl(to, w, payload))
}
fn with_payload_impl(to: usize, w: W, payload: P) -> Self {
Self {
to: to as u32,
weight: w,
id: Id::new(),
payload,
}
}
}
impl<W: Copy, Id: EdgeId, P: Clone> BidirectionalEdgeTrait for BiWeightedEdgeRaw<W, Id, P> {}
impl<W: Copy, Id: EdgeId, P: Clone> EdgeTrait for BiWeightedEdgeRaw<W, Id, P> {
type Payload = P;
const REVERSABLE: bool = true;
fn to(&self) -> usize {
self.to as usize
}
fn id(&self) -> usize {
self.id.id()
}
fn set_id(&mut self, id: usize) {
self.id.set_id(id);
}
fn reverse_id(&self) -> usize {
panic!("no reverse")
}
fn set_reverse_id(&mut self, _: usize) {}
fn reverse_edge(&self, from: usize) -> Self {
Self::with_payload_impl(from, self.weight, self.payload.clone())
}
fn payload(&self) -> &P {
&self.payload
}
}
impl<W: Copy, Id: EdgeId, P: Clone> BiEdgeTrait for BiWeightedEdgeRaw<W, Id, P> {}
impl<W: Copy, Id: EdgeId, P: Clone> WeightedEdgeTrait<W> for BiWeightedEdgeRaw<W, Id, P> {
fn weight(&self) -> W {
self.weight
}
fn weight_mut(&mut self) -> &mut W {
&mut self.weight
}
}
pub type BiWeightedEdge<W, P> = BiWeightedEdgeRaw<W, NoId, P>;
pub type BiWeightedEdgeWithId<W, P> = BiWeightedEdgeRaw<W, WithId, P>;
}
pub mod edge {
use crate::algo_lib::graph::edges::edge_id::EdgeId;
use crate::algo_lib::graph::edges::edge_id::NoId;
use crate::algo_lib::graph::edges::edge_id::WithId;
use crate::algo_lib::graph::edges::edge_trait::EdgeTrait;
#[derive(Clone)]
pub struct EdgeRaw<Id: EdgeId, P> {
to: u32,
id: Id,
payload: P,
}
impl<Id: EdgeId> EdgeRaw<Id, ()> {
pub fn new(from: usize, to: usize) -> (usize, Self) {
(
from,
Self {
to: to as u32,
id: Id::new(),
payload: (),
},
)
}
}
impl<Id: EdgeId, P> EdgeRaw<Id, P> {
pub fn with_payload(from: usize, to: usize, payload: P) -> (usize, Self) {
(from, Self::with_payload_impl(to, payload))
}
fn with_payload_impl(to: usize, payload: P) -> Self {
Self {
to: to as u32,
id: Id::new(),
payload,
}
}
}
impl<Id: EdgeId, P: Clone> EdgeTrait for EdgeRaw<Id, P> {
type Payload = P;
const REVERSABLE: bool = false;
fn to(&self) -> usize {
self.to as usize
}
fn id(&self) -> usize {
self.id.id()
}
fn set_id(&mut self, id: usize) {
self.id.set_id(id);
}
fn reverse_id(&self) -> usize {
panic!("no reverse")
}
fn set_reverse_id(&mut self, _: usize) {
panic!("no reverse")
}
fn reverse_edge(&self, _: usize) -> Self {
panic!("no reverse")
}
fn payload(&self) -> &P {
&self.payload
}
}
pub type Edge<P> = EdgeRaw<NoId, P>;
pub type EdgeWithId<P> = EdgeRaw<WithId, P>;
}
pub mod edge_id {
pub trait EdgeId: Clone {
fn new() -> Self;
fn id(&self) -> usize;
fn set_id(&mut self, id: usize);
}
#[derive(Clone)]
pub struct WithId {
id: u32,
}
impl EdgeId for WithId {
fn new() -> Self {
Self { id: 0 }
}
fn id(&self) -> usize {
self.id as usize
}
fn set_id(&mut self, id: usize) {
self.id = id as u32;
}
}
#[derive(Clone)]
pub struct NoId {}
impl EdgeId for NoId {
fn new() -> Self {
Self {}
}
fn id(&self) -> usize {
panic!("Id called on no id")
}
fn set_id(&mut self, _: usize) {}
}
}
pub mod edge_trait {
pub trait EdgeTrait: Clone {
type Payload;
const REVERSABLE: bool;
fn to(&self) -> usize;
fn id(&self) -> usize;
fn set_id(&mut self, id: usize);
fn reverse_id(&self) -> usize;
fn set_reverse_id(&mut self, reverse_id: usize);
#[must_use]
fn reverse_edge(&self, from: usize) -> Self;
fn payload(&self) -> &Self::Payload;
}
pub trait BidirectionalEdgeTrait: EdgeTrait {}
}
pub mod weighted_edge_trait {
use crate::algo_lib::graph::edges::edge_trait::EdgeTrait;
pub trait WeightedEdgeTrait<W: Copy>: EdgeTrait {
fn weight(&self) -> W;
fn weight_mut(&mut self) -> &mut W;
}
}
}
pub mod graph {
use crate::algo_lib::collections::dsu::DSU;
use crate::algo_lib::graph::edges::bi_edge::BiEdge;
use crate::algo_lib::graph::edges::edge::Edge;
use crate::algo_lib::graph::edges::edge_trait::BidirectionalEdgeTrait;
use crate::algo_lib::graph::edges::edge_trait::EdgeTrait;
use std::ops::Index;
use std::ops::IndexMut;
#[derive(Clone)]
pub struct Graph<E: EdgeTrait> {
pub(super) edges: Vec<Vec<E>>,
edge_count: usize,
}
impl<E: EdgeTrait> Graph<E> {
pub fn new(vertex_count: usize) -> Self {
Self {
edges: vec![Vec::new(); vertex_count],
edge_count: 0,
}
}
pub fn add_edge(&mut self, (from, mut edge): (usize, E)) -> usize {
let to = edge.to();
assert!(to < self.edges.len());
let direct_id = self.edges[from].len();
edge.set_id(self.edge_count);
self.edges[from].push(edge);
if E::REVERSABLE {
let rev_id = self.edges[to].len();
self.edges[from][direct_id].set_reverse_id(rev_id);
let mut rev_edge = self.edges[from][direct_id].reverse_edge(from);
rev_edge.set_id(self.edge_count);
rev_edge.set_reverse_id(direct_id);
self.edges[to].push(rev_edge);
}
self.edge_count += 1;
direct_id
}
pub fn add_vertices(&mut self, cnt: usize) {
self.edges.resize(self.edges.len() + cnt, Vec::new());
}
pub fn clear(&mut self) {
self.edge_count = 0;
for ve in self.edges.iter_mut() {
ve.clear();
}
}
pub fn vertex_count(&self) -> usize {
self.edges.len()
}
pub fn edge_count(&self) -> usize {
self.edge_count
}
pub fn degrees(&self) -> Vec<usize> {
self.edges.iter().map(|v| v.len()).collect()
}
}
impl<E: BidirectionalEdgeTrait> Graph<E> {
pub fn is_tree(&self) -> bool {
if self.edge_count + 1 != self.vertex_count() {
false
} else {
self.is_connected()
}
}
pub fn is_forest(&self) -> bool {
let mut dsu = DSU::new(self.vertex_count());
for i in 0..self.vertex_count() {
for e in self[i].iter() {
if i <= e.to() && !dsu.join(i, e.to()) {
return false;
}
}
}
true
}
pub fn is_connected(&self) -> bool {
let mut dsu = DSU::new(self.vertex_count());
for i in 0..self.vertex_count() {
for e in self[i].iter() {
dsu.join(i, e.to());
}
}
dsu.set_count() == 1
}
}
impl<E: EdgeTrait> Index<usize> for Graph<E> {
type Output = [E];
fn index(&self, index: usize) -> &Self::Output {
&self.edges[index]
}
}
impl<E: EdgeTrait> IndexMut<usize> for Graph<E> {
fn index_mut(&mut self, index: usize) -> &mut Self::Output {
&mut self.edges[index]
}
}
impl Graph<Edge<()>> {
pub fn from_edges(n: usize, edges: &[(usize, usize)]) -> Self {
let mut graph = Self::new(n);
for &(from, to) in edges {
graph.add_edge(Edge::new(from, to));
}
graph
}
}
impl<P: Clone> Graph<Edge<P>> {
pub fn from_edges_with_payload(n: usize, edges: &[(usize, usize, P)]) -> Self {
let mut graph = Self::new(n);
for (from, to, p) in edges.iter() {
graph.add_edge(Edge::with_payload(*from, *to, p.clone()));
}
graph
}
}
impl Graph<BiEdge<()>> {
pub fn from_biedges(n: usize, edges: &[(usize, usize)]) -> Self {
let mut graph = Self::new(n);
for &(from, to) in edges {
graph.add_edge(BiEdge::new(from, to));
}
graph
}
}
impl<P: Clone> Graph<BiEdge<P>> {
pub fn from_biedges_with_payload(n: usize, edges: &[(usize, usize, P)]) -> Self {
let mut graph = Self::new(n);
for (from, to, p) in edges.iter() {
graph.add_edge(BiEdge::with_payload(*from, *to, p.clone()));
}
graph
}
}
}
}
pub mod io {
pub mod input {
use crate::algo_lib::collections::vec_ext::default::default_vec;
use std::io::Read;
pub struct Input<'s> {
input: &'s mut dyn Read,
buf: Vec<u8>,
at: usize,
buf_read: usize,
}
macro_rules! read_impl {
($t: ty, $read_name: ident, $read_vec_name: ident) => {
pub fn $read_name(&mut self) -> $t {
self.read()
}
pub fn $read_vec_name(&mut self, len: usize) -> Vec<$t> {
self.read_vec(len)
}
};
($t: ty, $read_name: ident, $read_vec_name: ident, $read_pair_vec_name: ident) => {
read_impl!($t, $read_name, $read_vec_name);
pub fn $read_pair_vec_name(&mut self, len: usize) -> Vec<($t, $t)> {
self.read_vec(len)
}
};
}
impl<'s> Input<'s> {
const DEFAULT_BUF_SIZE: usize = 4096;
pub fn new(input: &'s mut dyn Read) -> Self {
Self {
input,
buf: default_vec(Self::DEFAULT_BUF_SIZE),
at: 0,
buf_read: 0,
}
}
pub fn new_with_size(input: &'s mut dyn Read, buf_size: usize) -> Self {
Self {
input,
buf: default_vec(buf_size),
at: 0,
buf_read: 0,
}
}
pub fn get(&mut self) -> Option<u8> {
if self.refill_buffer() {
let res = self.buf[self.at];
self.at += 1;
if res == b'\r' {
if self.refill_buffer() && self.buf[self.at] == b'\n' {
self.at += 1;
}
return Some(b'\n');
}
Some(res)
} else {
None
}
}
pub fn peek(&mut self) -> Option<u8> {
if self.refill_buffer() {
let res = self.buf[self.at];
Some(if res == b'\r' { b'\n' } else { res })
} else {
None
}
}
pub fn skip_whitespace(&mut self) {
while let Some(b) = self.peek() {
if !char::from(b).is_whitespace() {
return;
}
self.get();
}
}
pub fn next_token(&mut self) -> Option<Vec<u8>> {
self.skip_whitespace();
let mut res = Vec::new();
while let Some(c) = self.get() {
if char::from(c).is_whitespace() {
break;
}
res.push(c);
}
if res.is_empty() {
None
} else {
Some(res)
}
}
//noinspection RsSelfConvention
pub fn is_exhausted(&mut self) -> bool {
self.peek().is_none()
}
//noinspection RsSelfConvention
pub fn is_empty(&mut self) -> bool {
self.skip_whitespace();
self.is_exhausted()
}
pub fn read<T: Readable>(&mut self) -> T {
T::read(self)
}
pub fn read_vec<T: Readable>(&mut self, size: usize) -> Vec<T> {
let mut res = Vec::with_capacity(size);
for _ in 0..size {
res.push(self.read());
}
res
}
pub fn read_char(&mut self) -> char {
self.skip_whitespace();
self.get().unwrap().into()
}
read_impl!(u32, read_unsigned, read_unsigned_vec);
read_impl!(u64, read_u64, read_u64_vec);
read_impl!(usize, read_size, read_size_vec, read_size_pair_vec);
read_impl!(i32, read_int, read_int_vec, read_int_pair_vec);
read_impl!(i64, read_long, read_long_vec, read_long_pair_vec);
read_impl!(i128, read_i128, read_i128_vec);
fn refill_buffer(&mut self) -> bool {
if self.at == self.buf_read {
self.at = 0;
self.buf_read = self.input.read(&mut self.buf).unwrap();
self.buf_read != 0
} else {
true
}
}
}
pub trait Readable {
fn read(input: &mut Input) -> Self;
}
impl Readable for char {
fn read(input: &mut Input) -> Self {
input.read_char()
}
}
impl<T: Readable> Readable for Vec<T> {
fn read(input: &mut Input) -> Self {
let size = input.read();
input.read_vec(size)
}
}
macro_rules! read_integer {
($($t:ident)+) => {$(
impl Readable for $t {
fn read(input: &mut Input) -> Self {
input.skip_whitespace();
let mut c = input.get().unwrap();
let sgn = match c {
b'-' => {
c = input.get().unwrap();
true
}
b'+' => {
c = input.get().unwrap();
false
}
_ => false,
};
let mut res = 0;
loop {
assert!(c.is_ascii_digit());
res *= 10;
let d = (c - b'0') as $t;
if sgn {
res -= d;
} else {
res += d;
}
match input.get() {
None => break,
Some(ch) => {
if ch.is_ascii_whitespace() {
break;
} else {
c = ch;
}
}
}
}
res
}
}
)+};
}
read_integer!(i8 i16 i32 i64 i128 isize u8 u16 u32 u64 u128 usize);
macro_rules! tuple_readable {
($($name:ident)+) => {
impl<$($name: Readable), +> Readable for ($($name,)+) {
fn read(input: &mut Input) -> Self {
($($name::read(input),)+)
}
}
}
}
tuple_readable! {T}
tuple_readable! {T U}
tuple_readable! {T U V}
tuple_readable! {T U V X}
tuple_readable! {T U V X Y}
tuple_readable! {T U V X Y Z}
tuple_readable! {T U V X Y Z A}
tuple_readable! {T U V X Y Z A B}
tuple_readable! {T U V X Y Z A B C}
tuple_readable! {T U V X Y Z A B C D}
tuple_readable! {T U V X Y Z A B C D E}
tuple_readable! {T U V X Y Z A B C D E F}
impl Read for Input<'_> {
fn read(&mut self, buf: &mut [u8]) -> std::io::Result<usize> {
if self.at == self.buf_read {
self.input.read(buf)
} else {
let mut i = 0;
while i < buf.len() && self.at < self.buf_read {
buf[i] = self.buf[self.at];
i += 1;
self.at += 1;
}
Ok(i)
}
}
}
}
pub mod output {
use crate::algo_lib::collections::vec_ext::default::default_vec;
use std::cmp::Reverse;
use std::io::stderr;
use std::io::Stderr;
use std::io::Write;
#[derive(Copy, Clone)]
pub enum BoolOutput {
YesNo,
YesNoCaps,
PossibleImpossible,
Custom(&'static str, &'static str),
}
impl BoolOutput {
pub fn output(&self, output: &mut Output, val: bool) {
(if val { self.yes() } else { self.no() }).write(output);
}
fn yes(&self) -> &str {
match self {
BoolOutput::YesNo => "Yes",
BoolOutput::YesNoCaps => "YES",
BoolOutput::PossibleImpossible => "Possible",
BoolOutput::Custom(yes, _) => yes,
}
}
fn no(&self) -> &str {
match self {
BoolOutput::YesNo => "No",
BoolOutput::YesNoCaps => "NO",
BoolOutput::PossibleImpossible => "Impossible",
BoolOutput::Custom(_, no) => no,
}
}
}
pub struct Output<'s> {
output: &'s mut dyn Write,
buf: Vec<u8>,
at: usize,
auto_flush: bool,
bool_output: BoolOutput,
}
impl<'s> Output<'s> {
const DEFAULT_BUF_SIZE: usize = 4096;
pub fn new(output: &'s mut dyn Write) -> Self {
Self {
output,
buf: default_vec(Self::DEFAULT_BUF_SIZE),
at: 0,
auto_flush: false,
bool_output: BoolOutput::YesNoCaps,
}
}
pub fn new_with_auto_flush(output: &'s mut dyn Write) -> Self {
Self {
output,
buf: default_vec(Self::DEFAULT_BUF_SIZE),
at: 0,
auto_flush: true,
bool_output: BoolOutput::YesNoCaps,
}
}
pub fn flush(&mut self) {
if self.at != 0 {
self.output.write_all(&self.buf[..self.at]).unwrap();
self.output.flush().unwrap();
self.at = 0;
}
}
pub fn print<T: Writable>(&mut self, s: T) {
s.write(self);
self.maybe_flush();
}
pub fn print_line<T: Writable>(&mut self, s: T) {
self.print(s);
self.put(b'\n');
self.maybe_flush();
}
pub fn put(&mut self, b: u8) {
self.buf[self.at] = b;
self.at += 1;
if self.at == self.buf.len() {
self.flush();
}
}
pub fn maybe_flush(&mut self) {
if self.auto_flush {
self.flush();
}
}
pub fn print_per_line<T: Writable>(&mut self, arg: &[T]) {
for i in arg {
i.write(self);
self.put(b'\n');
}
}
pub fn print_iter<T: Writable, I: Iterator<Item = T>>(&mut self, iter: I) {
let mut first = true;
for e in iter {
if first {
first = false;
} else {
self.put(b' ');
}
e.write(self);
}
}
pub fn set_bool_output(&mut self, bool_output: BoolOutput) {
self.bool_output = bool_output;
}
}
impl Write for Output<'_> {
fn write(&mut self, buf: &[u8]) -> std::io::Result<usize> {
let mut start = 0usize;
let mut rem = buf.len();
while rem > 0 {
let len = (self.buf.len() - self.at).min(rem);
self.buf[self.at..self.at + len].copy_from_slice(&buf[start..start + len]);
self.at += len;
if self.at == self.buf.len() {
self.flush();
}
start += len;
rem -= len;
}
self.maybe_flush();
Ok(buf.len())
}
fn flush(&mut self) -> std::io::Result<()> {
self.flush();
Ok(())
}
}
pub trait Writable {
fn write(&self, output: &mut Output);
}
impl Writable for &str {
fn write(&self, output: &mut Output) {
output.write_all(self.as_bytes()).unwrap();
}
}
impl Writable for String {
fn write(&self, output: &mut Output) {
output.write_all(self.as_bytes()).unwrap();
}
}
impl Writable for char {
fn write(&self, output: &mut Output) {
output.put(*self as u8);
}
}
impl<T: Writable> Writable for [T] {
fn write(&self, output: &mut Output) {
output.print_iter(self.iter());
}
}
impl<T: Writable, const N: usize> Writable for [T; N] {
fn write(&self, output: &mut Output) {
output.print_iter(self.iter());
}
}
impl<T: Writable + ?Sized> Writable for &T {
fn write(&self, output: &mut Output) {
T::write(self, output)
}
}
impl<T: Writable> Writable for Vec<T> {
fn write(&self, output: &mut Output) {
self.as_slice().write(output);
}
}
impl Writable for () {
fn write(&self, _output: &mut Output) {}
}
macro_rules! write_to_string {
($($t:ident)+) => {$(
impl Writable for $t {
fn write(&self, output: &mut Output) {
self.to_string().write(output);
}
}
)+};
}
write_to_string!(u8 u16 u32 u64 u128 usize i8 i16 i32 i64 i128 isize);
macro_rules! tuple_writable {
($name0:ident $($name:ident: $id:tt )*) => {
impl<$name0: Writable, $($name: Writable,)*> Writable for ($name0, $($name,)*) {
fn write(&self, out: &mut Output) {
self.0.write(out);
$(
out.put(b' ');
self.$id.write(out);
)*
}
}
}
}
tuple_writable! {T}
tuple_writable! {T U:1}
tuple_writable! {T U:1 V:2}
tuple_writable! {T U:1 V:2 X:3}
tuple_writable! {T U:1 V:2 X:3 Y:4}
tuple_writable! {T U:1 V:2 X:3 Y:4 Z:5}
tuple_writable! {T U:1 V:2 X:3 Y:4 Z:5 A:6}
tuple_writable! {T U:1 V:2 X:3 Y:4 Z:5 A:6 B:7}
tuple_writable! {T U:1 V:2 X:3 Y:4 Z:5 A:6 B:7 C:8}
impl<T: Writable> Writable for Option<T> {
fn write(&self, output: &mut Output) {
match self {
None => (-1).write(output),
Some(t) => t.write(output),
}
}
}
impl Writable for bool {
fn write(&self, output: &mut Output) {
let bool_output = output.bool_output;
bool_output.output(output, *self)
}
}
impl<T: Writable> Writable for Reverse<T> {
fn write(&self, output: &mut Output) {
self.0.write(output);
}
}
static mut ERR: Option<Stderr> = None;
pub fn err() -> Output<'static> {
unsafe {
if ERR.is_none() {
ERR = Some(stderr());
}
Output::new_with_auto_flush(ERR.as_mut().unwrap())
}
}
}
}
pub mod misc {
pub mod test_type {
pub enum TestType {
Single,
MultiNumber,
MultiEof,
}
pub enum TaskType {
Classic,
Interactive,
}
}
}
pub mod numbers {
pub mod num_traits {
pub mod algebra {
use crate::algo_lib::numbers::num_traits::invertible::Invertible;
use std::ops::Add;
use std::ops::AddAssign;
use std::ops::Div;
use std::ops::DivAssign;
use std::ops::Mul;
use std::ops::MulAssign;
use std::ops::Neg;
use std::ops::Rem;
use std::ops::RemAssign;
use std::ops::Sub;
use std::ops::SubAssign;
pub trait Zero {
fn zero() -> Self;
}
pub trait One {
fn one() -> Self;
}
pub trait AdditionMonoid: Add<Output = Self> + AddAssign + Zero + Eq + Sized {}
impl<T: Add<Output = Self> + AddAssign + Zero + Eq> AdditionMonoid for T {}
pub trait AdditionMonoidWithSub: AdditionMonoid + Sub<Output = Self> + SubAssign {}
impl<T: AdditionMonoid + Sub<Output = Self> + SubAssign> AdditionMonoidWithSub for T {}
pub trait AdditionGroup: AdditionMonoidWithSub + Neg<Output = Self> {}
impl<T: AdditionMonoidWithSub + Neg<Output = Self>> AdditionGroup for T {}
pub trait MultiplicationMonoid: Mul<Output = Self> + MulAssign + One + Eq + Sized {}
impl<T: Mul<Output = Self> + MulAssign + One + Eq> MultiplicationMonoid for T {}
pub trait IntegerMultiplicationMonoid:
MultiplicationMonoid + Div<Output = Self> + Rem<Output = Self> + DivAssign + RemAssign
{
}
impl<T: MultiplicationMonoid + Div<Output = Self> + Rem<Output = Self> + DivAssign + RemAssign>
IntegerMultiplicationMonoid for T
{
}
pub trait MultiplicationGroup:
MultiplicationMonoid + Div<Output = Self> + DivAssign + Invertible<Output = Self>
{
}
impl<T: MultiplicationMonoid + Div<Output = Self> + DivAssign + Invertible<Output = Self>>
MultiplicationGroup for T
{
}
pub trait SemiRing: AdditionMonoid + MultiplicationMonoid {}
impl<T: AdditionMonoid + MultiplicationMonoid> SemiRing for T {}
pub trait SemiRingWithSub: AdditionMonoidWithSub + SemiRing {}
impl<T: AdditionMonoidWithSub + SemiRing> SemiRingWithSub for T {}
pub trait Ring: SemiRing + AdditionGroup {}
impl<T: SemiRing + AdditionGroup> Ring for T {}
pub trait IntegerSemiRing: SemiRing + IntegerMultiplicationMonoid {}
impl<T: SemiRing + IntegerMultiplicationMonoid> IntegerSemiRing for T {}
pub trait IntegerSemiRingWithSub: SemiRingWithSub + IntegerSemiRing {}
impl<T: SemiRingWithSub + IntegerSemiRing> IntegerSemiRingWithSub for T {}
pub trait IntegerRing: IntegerSemiRing + Ring {}
impl<T: IntegerSemiRing + Ring> IntegerRing for T {}
pub trait Field: Ring + MultiplicationGroup {}
impl<T: Ring + MultiplicationGroup> Field for T {}
macro_rules! zero_one_integer_impl {
($($t: ident)+) => {$(
impl Zero for $t {
fn zero() -> Self {
0
}
}
impl One for $t {
fn one() -> Self {
1
}
}
)+};
}
zero_one_integer_impl!(i128 i64 i32 i16 i8 isize u128 u64 u32 u16 u8 usize);
}
pub mod invertible {
pub trait Invertible {
type Output;
fn inv(&self) -> Option<Self::Output>;
}
}
pub mod ord {
pub trait MinMax: PartialOrd {
fn min_val() -> Self;
fn max_val() -> Self;
}
macro_rules! min_max_integer_impl {
($($t: ident)+) => {$(
impl MinMax for $t {
fn min_val() -> Self {
// 1.43
std::$t::MIN
}
fn max_val() -> Self {
// 1.43
std::$t::MAX
}
}
)+};
}
min_max_integer_impl!(i128 i64 i32 i16 i8 isize u128 u64 u32 u16 u8 usize);
}
}
}
}
fn main() {
let mut sin = std::io::stdin();
let input = algo_lib::io::input::Input::new(&mut sin);
let mut stdout = std::io::stdout();
let output = algo_lib::io::output::Output::new(&mut stdout);
solution::run(input, output);
}
详细
Test #1:
score: 100
Accepted
time: 0ms
memory: 2272kb
input:
5 1 5 3 2 4 1 10 4 2 4 2 10 5 2 4 1 3 2 1 3 1 3 2 1 2
output:
3 2 -1 1 -1
result:
ok 5 lines
Test #2:
score: 0
Accepted
time: 0ms
memory: 2176kb
input:
30 1 2 1 1 2 1 2 2 1 2 1 2 3 1 2 1 2 4 1 2 1 2 5 1 2 1 2 6 1 2 2 2 1 1 2 2 2 2 1 2 2 2 3 1 2 2 2 4 1 2 2 2 5 1 2 2 2 6 1 2 3 2 1 1 2 3 2 2 1 2 3 2 3 1 2 3 2 4 1 2 3 2 5 1 2 3 2 6 1 2 4 2 1 1 2 4 2 2 1 2 4 2 3 1 2 4 2 4 1 2 4 2 5 1 2 4 2 6 1 2 5 2 1 1 2 5 2 2 1 2 5 2 3 1 2 5 2 4 1 2 5 2 5 1 2 5 2 6 1 2
output:
1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1
result:
ok 30 lines
Test #3:
score: 0
Accepted
time: 0ms
memory: 2352kb
input:
90 1 3 1 1 2 1 3 1 1 3 1 3 1 2 3 1 3 2 1 2 1 3 2 1 3 1 3 2 2 3 1 3 3 1 2 1 3 3 1 3 1 3 3 2 3 1 3 4 1 2 1 3 4 1 3 1 3 4 2 3 1 3 5 1 2 1 3 5 1 3 1 3 5 2 3 1 3 6 1 2 1 3 6 1 3 1 3 6 2 3 2 3 1 1 2 2 3 1 1 3 2 3 1 2 3 2 3 2 1 2 2 3 2 1 3 2 3 2 2 3 2 3 3 1 2 2 3 3 1 3 2 3 3 2 3 2 3 4 1 2 2 3 4 1 3 2 3 4 2...
output:
1 1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
result:
ok 90 lines
Test #4:
score: 0
Accepted
time: 0ms
memory: 2136kb
input:
180 1 4 1 1 2 1 4 1 1 3 1 4 1 1 4 1 4 1 2 3 1 4 1 2 4 1 4 1 3 4 1 4 2 1 2 1 4 2 1 3 1 4 2 1 4 1 4 2 2 3 1 4 2 2 4 1 4 2 3 4 1 4 3 1 2 1 4 3 1 3 1 4 3 1 4 1 4 3 2 3 1 4 3 2 4 1 4 3 3 4 1 4 4 1 2 1 4 4 1 3 1 4 4 1 4 1 4 4 2 3 1 4 4 2 4 1 4 4 3 4 1 4 5 1 2 1 4 5 1 3 1 4 5 1 4 1 4 5 2 3 1 4 5 2 4 1 4 5 ...
output:
1 1 1 1 1 1 2 1 1 3 1 2 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 2 3 1 2 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 2 1 1 3 1 2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1...
result:
ok 180 lines
Test #5:
score: 0
Accepted
time: 0ms
memory: 2148kb
input:
300 1 5 1 1 2 1 5 1 1 3 1 5 1 1 4 1 5 1 1 5 1 5 1 2 3 1 5 1 2 4 1 5 1 2 5 1 5 1 3 4 1 5 1 3 5 1 5 1 4 5 1 5 2 1 2 1 5 2 1 3 1 5 2 1 4 1 5 2 1 5 1 5 2 2 3 1 5 2 2 4 1 5 2 2 5 1 5 2 3 4 1 5 2 3 5 1 5 2 4 5 1 5 3 1 2 1 5 3 1 3 1 5 3 1 4 1 5 3 1 5 1 5 3 2 3 1 5 3 2 4 1 5 3 2 5 1 5 3 3 4 1 5 3 3 5 1 5 3 ...
output:
1 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1 2 1 2 2 -1 1 1 -1 3 1 -1 -1 2 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 1 1 1 2 3 4 1 2 3 1 2 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
result:
ok 300 lines
Test #6:
score: 0
Accepted
time: 0ms
memory: 2244kb
input:
450 1 6 1 1 2 1 6 1 1 3 1 6 1 1 4 1 6 1 1 5 1 6 1 1 6 1 6 1 2 3 1 6 1 2 4 1 6 1 2 5 1 6 1 2 6 1 6 1 3 4 1 6 1 3 5 1 6 1 3 6 1 6 1 4 5 1 6 1 4 6 1 6 1 5 6 1 6 2 1 2 1 6 2 1 3 1 6 2 1 4 1 6 2 1 5 1 6 2 1 6 1 6 2 2 3 1 6 2 2 4 1 6 2 2 5 1 6 2 2 6 1 6 2 3 4 1 6 2 3 5 1 6 2 3 6 1 6 2 4 5 1 6 2 4 6 1 6 2 ...
output:
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 1 1 2 1 1 2 1 2 2 2 1 1 1 2 3 1 1 3 3 1 2 2 2 2 -1 -1 1 1 -1 -1 3 1 -1 -1 -1 -1 -1 2 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 4 5 1 2 3 4 1 2 3 1 2 1 -1 -1 -1 -1 -1 2 1 3 -...
result:
ok 450 lines
Test #7:
score: 0
Accepted
time: 0ms
memory: 2084kb
input:
630 1 7 1 1 2 1 7 1 1 3 1 7 1 1 4 1 7 1 1 5 1 7 1 1 6 1 7 1 1 7 1 7 1 2 3 1 7 1 2 4 1 7 1 2 5 1 7 1 2 6 1 7 1 2 7 1 7 1 3 4 1 7 1 3 5 1 7 1 3 6 1 7 1 3 7 1 7 1 4 5 1 7 1 4 6 1 7 1 4 7 1 7 1 5 6 1 7 1 5 7 1 7 1 6 7 1 7 2 1 2 1 7 2 1 3 1 7 2 1 4 1 7 2 1 5 1 7 2 1 6 1 7 2 1 7 1 7 2 2 3 1 7 2 2 4 1 7 2 ...
output:
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 2 1 1 1 2 1 1 2 1 2 2 2 1 1 1 1 2 2 1 1 1 2 3 1 1 2 2 1 2 2 2 2 2 -1 1 1 1 2 -1 3 1 1 -1 3 3 1 -1 -1 -1 2 2 2 2 -1 -1 -1 1 1 -1 -1 -1 3 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 2 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1...
result:
ok 630 lines
Test #8:
score: 0
Accepted
time: 0ms
memory: 2136kb
input:
840 1 8 1 1 2 1 8 1 1 3 1 8 1 1 4 1 8 1 1 5 1 8 1 1 6 1 8 1 1 7 1 8 1 1 8 1 8 1 2 3 1 8 1 2 4 1 8 1 2 5 1 8 1 2 6 1 8 1 2 7 1 8 1 2 8 1 8 1 3 4 1 8 1 3 5 1 8 1 3 6 1 8 1 3 7 1 8 1 3 8 1 8 1 4 5 1 8 1 4 6 1 8 1 4 7 1 8 1 4 8 1 8 1 5 6 1 8 1 5 7 1 8 1 5 8 1 8 1 6 7 1 8 1 6 8 1 8 1 7 8 1 8 2 1 2 1 8 2 ...
output:
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 2 1 1 1 2 1 1 2 1 2 2 2 1 1 1 1 1 2 2 1 1 1 1 2 2 1 1 1 2 2 1 1 2 2 1 2 2 2 2 2 2 1 1 1 1 2 2 3 1 1 1 2 3 3 1 1 3 3 3 1 2 2 2 2 2 2 2 2 -1 -1 1 1 1 2 -1 -1 3 1 1 -1 -1 3 3 1 -1 -1 -1 -1 -1 -1 -1 2 2 2 2 -1 -1...
result:
ok 840 lines
Test #9:
score: 0
Accepted
time: 0ms
memory: 2176kb
input:
1080 1 9 1 1 2 1 9 1 1 3 1 9 1 1 4 1 9 1 1 5 1 9 1 1 6 1 9 1 1 7 1 9 1 1 8 1 9 1 1 9 1 9 1 2 3 1 9 1 2 4 1 9 1 2 5 1 9 1 2 6 1 9 1 2 7 1 9 1 2 8 1 9 1 2 9 1 9 1 3 4 1 9 1 3 5 1 9 1 3 6 1 9 1 3 7 1 9 1 3 8 1 9 1 3 9 1 9 1 4 5 1 9 1 4 6 1 9 1 4 7 1 9 1 4 8 1 9 1 4 9 1 9 1 5 6 1 9 1 5 7 1 9 1 5 8 1 9 1...
output:
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 2 1 1 1 2 1 1 2 1 2 2 2 1 1 1 1 1 1 2 2 1 1 1 1 1 2 2 1 1 1 1 2 2 1 1 1 2 2 1 1 2 2 1 2 2 2 2 2 2 1 1 1 1 1 2 2 2 1 1 1 1 2 2 3 1 1 1 2 3 3 1 1 2 2 2 1 2 2 2 2 2 2 2 2 2 -1 1 1...
result:
ok 1080 lines
Test #10:
score: 0
Accepted
time: 0ms
memory: 2164kb
input:
1350 1 10 1 1 2 1 10 1 1 3 1 10 1 1 4 1 10 1 1 5 1 10 1 1 6 1 10 1 1 7 1 10 1 1 8 1 10 1 1 9 1 10 1 1 10 1 10 1 2 3 1 10 1 2 4 1 10 1 2 5 1 10 1 2 6 1 10 1 2 7 1 10 1 2 8 1 10 1 2 9 1 10 1 2 10 1 10 1 3 4 1 10 1 3 5 1 10 1 3 6 1 10 1 3 7 1 10 1 3 8 1 10 1 3 9 1 10 1 3 10 1 10 1 4 5 1 10 1 4 6 1 10 1...
output:
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 2 1 1 1 2 1 1 2 1 2 2 2 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 2 2 1 1 1 1 1 2 2 1 1 1 1 2 2 1 1 1 2 2 1 1 2 2 1 2 2 2 2 2 2 1 1 1 1 1 1 2 2 2 1 1 1 ...
result:
ok 1350 lines
Test #11:
score: 0
Accepted
time: 0ms
memory: 2240kb
input:
1650 1 11 1 1 2 1 11 1 1 3 1 11 1 1 4 1 11 1 1 5 1 11 1 1 6 1 11 1 1 7 1 11 1 1 8 1 11 1 1 9 1 11 1 1 10 1 11 1 1 11 1 11 1 2 3 1 11 1 2 4 1 11 1 2 5 1 11 1 2 6 1 11 1 2 7 1 11 1 2 8 1 11 1 2 9 1 11 1 2 10 1 11 1 2 11 1 11 1 3 4 1 11 1 3 5 1 11 1 3 6 1 11 1 3 7 1 11 1 3 8 1 11 1 3 9 1 11 1 3 10 1 11...
output:
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 2 1 1 1 2 1 1 2 1 2 2 2 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 2 2 1 1 1 1 1 2 2 1 1 1 1 ...
result:
ok 1650 lines
Test #12:
score: 0
Accepted
time: 0ms
memory: 2132kb
input:
1980 1 12 1 1 2 1 12 1 1 3 1 12 1 1 4 1 12 1 1 5 1 12 1 1 6 1 12 1 1 7 1 12 1 1 8 1 12 1 1 9 1 12 1 1 10 1 12 1 1 11 1 12 1 1 12 1 12 1 2 3 1 12 1 2 4 1 12 1 2 5 1 12 1 2 6 1 12 1 2 7 1 12 1 2 8 1 12 1 2 9 1 12 1 2 10 1 12 1 2 11 1 12 1 2 12 1 12 1 3 4 1 12 1 3 5 1 12 1 3 6 1 12 1 3 7 1 12 1 3 8 1 1...
output:
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 2 1 1 1 2 1 1 2 1 2 2 2 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 ...
result:
ok 1980 lines
Test #13:
score: 0
Accepted
time: 0ms
memory: 2276kb
input:
2340 1 13 1 1 2 1 13 1 1 3 1 13 1 1 4 1 13 1 1 5 1 13 1 1 6 1 13 1 1 7 1 13 1 1 8 1 13 1 1 9 1 13 1 1 10 1 13 1 1 11 1 13 1 1 12 1 13 1 1 13 1 13 1 2 3 1 13 1 2 4 1 13 1 2 5 1 13 1 2 6 1 13 1 2 7 1 13 1 2 8 1 13 1 2 9 1 13 1 2 10 1 13 1 2 11 1 13 1 2 12 1 13 1 2 13 1 13 1 3 4 1 13 1 3 5 1 13 1 3 6 1...
output:
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 2 1 1 1 ...
result:
ok 2340 lines
Test #14:
score: 0
Accepted
time: 188ms
memory: 2352kb
input:
1000000 247642294 961448649 733001129 279130562 530835402 732002655 505705299 645705556 487588093 488005936 423909487 956469930 42118321 776825480 857914491 573024322 173584499 411922860 68071790 127760171 195256403 617390756 240978977 289616458 604023215 302970816 281642201 617886109 245587163 2738...
output:
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
result:
ok 1000000 lines
Test #15:
score: 0
Accepted
time: 191ms
memory: 2160kb
input:
999999 818561732 105393047 308277328 55828222 95820891 626623416 914227808 963423453 365760112 463062746 685116026 447528560 848245265 304903588 410888549 190989264 573411702 351364570 477139815 538078040 165251011 443239658 880597903 283340857 321622039 580345373 729628729 253275172 260647549 56083...
output:
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
result:
ok 999999 lines
Test #16:
score: 0
Accepted
time: 188ms
memory: 2116kb
input:
999998 641304551 95615249 714496774 44706863 82597067 99120825 296948618 325272169 221497167 253219866 547135214 407423323 615477879 395311431 402237613 902423318 562586582 197117012 215866474 332581531 746228275 461110170 365490393 8270545 13567149 209099954 601749155 822593415 70976179 302958983 7...
output:
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
result:
ok 999998 lines
Test #17:
score: 0
Accepted
time: 192ms
memory: 2260kb
input:
999997 759014662 790870149 120716220 312341665 750583643 908054724 384702127 982088181 220708338 372080663 745590890 662285387 822901980 14637938 407944387 613857370 473613609 192612558 314642869 447537089 327205537 773947983 850382884 367385950 465660605 542887244 473869581 242168554 442534885 4616...
output:
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
result:
ok 999997 lines
Test #18:
score: 0
Accepted
time: 171ms
memory: 2240kb
input:
999996 286790189 76059652 676678771 27025196 72899785 380552134 140538090 638904193 140356967 140371077 944046566 622180150 180069186 386081350 473991190 325291423 167821189 333332295 37470414 135098524 834553872 8637942 335275375 984215 5958852 245270753 51022707 516519501 15376414 50059575 4736168...
output:
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ...
result:
ok 999996 lines
Test #19:
score: 0
Accepted
time: 146ms
memory: 2068kb
input:
1000000 5 961448649 14 279130562 530835402 0 505705299 11 487588093 488005936 5 956469930 6 776825480 857914491 5 173584499 5 68071790 127760171 5 617390756 2 289616458 604023215 2 281642201 14 245587163 273817065 5 411506287 9 42526705 317589066 3 547485462 9 271470684 437838096 5 996351074 6 74856...
output:
-1 417843 -1 -1 1 -1 -1 -1 -1 1 -1 1 6580696 422807208 153431515 -1 179429643 -1 84805156 -1 654790747 60452774 31347044 15066715 -1 18522683 -1 4346920 1 -1 -1 22973969 1 24950066 -1 -1 96093015 -1 1 -1 -1 -1 -1 -1 18083094 42298920 -1 1 -1 -1 -1 -1 1 -1 -1 90334756 24178093 126162761 -1 -1 -1 -1 1...
result:
ok 1000000 lines
Test #20:
score: 0
Accepted
time: 138ms
memory: 2160kb
input:
999999 0 105393047 8 55828222 95820891 2 914227808 13 365760112 463062746 3 447528560 10 304903588 410888549 1 573411702 5 477139815 538078040 5 443239658 13 283340857 321622039 5 729628729 7 260647549 560838179 3 215299701 10 34885046 213523791 2 859374122 1 544508624 795986441 4 864873312 7 416831...
output:
39992669 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 1 -1 -1 -1 -1 1 -1 -1 -1 1 10573113 -1 1 -1 -1 1 1 -1 -1 -1 68522961 -1 -1 -1 1 -1 -1 1 1 -1 -1 -1 1 17590651 -1 -1 -1 -1 11554641 -1 1 1 1 -1 -1 288548258 447374910 -1 1 1 19114954 -1 -1 1 1 -1 -1 -1 1 -1 121545976 1 -1 -1 -1 -1 1 -1 -1 -1 22273383 -1 99473454...
result:
ok 999999 lines
Test #21:
score: 0
Accepted
time: 157ms
memory: 2136kb
input:
999998 4 95615249 9 44706863 82597067 1 296948618 14 221497167 253219866 4 407423323 14 395311431 402237613 4 562586582 7 215866474 332581531 5 461110170 3 8270545 13567149 1 601749155 15 70976179 302958983 2 932067490 13 282852789 866650449 3 392745208 11 84796685 215041796 5 181898334 11 141866145...
output:
-1 1 -1 -1 -1 1 -1 -1 -1 350618868 -1 -1 -1 1 -1 -1 -1 1 -1 -1 71256593 1 122819155 20990479 274550506 -1 1 -1 -1 -1 1 -1 -1 -1 -1 118002775 -1 1 -1 -1 1 -1 -1 1 -1 -1 41577280 -1 -1 -1 -1 63382083 -1 -1 1 -1 1 -1 -1 640147 1 -1 254225645 86753831 103490873 54662526 1 -1 1 -1 -1 -1 1 -1 1 -1 1 -1 80...
result:
ok 999998 lines
Test #22:
score: 0
Accepted
time: 142ms
memory: 2220kb
input:
999997 0 790870149 10 312341665 750583643 4 384702127 1 220708338 372080663 2 662285387 10 14637938 407944387 0 473613609 3 314642869 447537089 4 773947983 9 367385950 465660605 5 473869581 14 442534885 461613235 0 726983133 1 417689049 679009425 5 221083595 5 123544654 169809378 0 872038508 7 57750...
output:
438241978 1 -1 132894220 -1 -1 261320376 -1 256026211 81434046 -1 483828385 1 -1 1 -1 -1 1 1 1 -1 -1 316297589 -1 -1 -1 -1 138841964 1 -1 1 149402190 28459733 -1 -1 -1 1 1 1 1 172487273 78450129 5779513 -1 1 -1 -1 -1 84682459 -1 -1 7655353 -1 -1 1 -1 -1 -1 -1 1 -1 -1 391436221 -1 -1 1 52970836 -1 -1...
result:
ok 999997 lines
Test #23:
score: 0
Accepted
time: 153ms
memory: 2156kb
input:
999996 0 76059652 6 27025196 72899785 4 140538090 3 140356967 140371077 0 622180150 1 386081350 473991190 3 167821189 5 37470414 135098524 3 8637942 15 984215 5958852 1 51022707 6 15376414 50059575 0 443750923 11 345920051 385212659 3 459487380 15 354903169 361806660 4 562178684 12 325063103 5252331...
output:
45874589 -1 87909840 -1 -1 1 39292608 -1 -1 1 -1 -1 -1 -1 20865528 -1 1 -1 1 -1 1 -1 1 -1 -1 -1 1 -1 67152271 -1 -1 77079066 1 -1 1 -1 40195106 -1 -1 1 169344308 10313868 1 1 50691532 1 -1 1 -1 1 -1 1 -1 -1 -1 1 -1 -1 1 -1 -1 -1 22802409 -1 1 1 -1 -1 -1 1 31178015 -1 -1 -1 1 -1 -1 14200880 1 -1 2356...
result:
ok 999996 lines
Test #24:
score: 0
Accepted
time: 87ms
memory: 2152kb
input:
1000000 5 6 9 2 5 0 6 6 1 5 5 6 1 3 4 5 5 10 4 5 5 8 7 2 3 2 8 9 3 4 5 7 9 1 6 3 9 9 7 9 5 8 1 1 4 5 2 6 1 2 2 2 3 1 2 5 7 7 5 7 0 10 7 2 3 0 8 1 2 6 0 6 3 1 6 5 10 4 6 7 0 4 6 3 4 4 8 5 5 6 0 5 2 3 5 3 3 8 2 3 0 3 6 2 3 0 5 10 2 4 0 9 4 6 9 0 2 2 1 2 5 9 5 3 7 0 2 7 1 2 4 4 7 1 3 0 10 1 1 2 5 2 1 1...
output:
-1 4 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 4 5 -1 1 -1 2 -1 1 2 3 1 -1 1 -1 1 1 -1 1 1 2 1 1 -1 1 -1 1 -1 -1 -1 -1 -1 3 2 -1 -1 -1 -1 -1 -1 -1 -1 -1 2 6 1 -1 5 -1 -1 -1 -1 2 1 1 1 1 -1 -1 -1 -1 5 -1 -1 -1 1 -1 2 -1 -1 1 -1 -1 -1 -1 -1 2 -1 -1 -1 1 -1 -1 -1 1 -1 -1 3 1 -1 2 -1 1 -1 1 -1 -1 -1 3 1 -1 -1 1 -1 ...
result:
ok 1000000 lines
Test #25:
score: 0
Accepted
time: 93ms
memory: 2148kb
input:
999999 0 5 8 4 5 2 5 3 1 3 3 5 5 4 5 1 3 10 1 3 5 8 3 2 6 5 7 2 1 5 3 9 10 6 9 2 5 1 1 4 4 6 7 3 5 3 3 4 1 3 5 10 10 7 9 1 6 4 5 6 5 10 7 2 10 4 7 2 6 7 4 7 10 6 7 2 6 10 4 5 5 8 4 5 6 1 4 6 3 4 3 5 5 1 5 5 4 9 2 3 3 5 5 3 4 1 5 4 4 5 0 10 8 1 4 3 5 9 1 4 5 8 6 5 6 2 8 6 2 3 3 4 3 3 4 3 8 2 6 7 1 10...
output:
1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 2 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 3 -1 -1 -1 -1 2 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 2 -1 1 2 1 -1 1 3 -1 -1 -1 1 1 -1 2 -1 -1 -1 -1 2 -1 -1 2 2 -1 -1 -1 1 -1 -1 -1 -1 1 1 -1 -1 2 -1 -1 -1 -1 -1 -1 3 -1 1 -1 -1 -1 -1 -1 1 -1 -1 1 1 -1 1 1 -1 1 1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1...
result:
ok 999999 lines
Test #26:
score: 0
Accepted
time: 91ms
memory: 2076kb
input:
999998 4 5 4 3 5 1 8 9 3 6 4 10 9 3 7 4 2 2 1 2 5 3 3 1 2 1 2 5 1 2 2 4 3 3 4 3 4 6 2 4 5 9 6 6 8 0 6 8 4 5 3 8 4 4 6 4 8 3 4 5 4 5 6 3 5 1 10 9 7 8 5 6 5 5 6 5 8 3 5 6 2 8 5 4 8 1 10 9 5 9 5 10 7 1 9 5 8 2 4 7 0 5 4 4 5 1 10 5 3 9 0 4 5 3 4 2 8 2 5 7 4 3 2 1 3 3 7 9 3 6 1 9 4 4 6 3 9 1 7 8 3 7 6 1 ...
output:
-1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 1 1 2 -1 -1 3 1 -1 1 2 1 -1 -1 -1 1 1 2 -1 -1 1 -1 -1 -1 -1 -1 4 -1 -1 -1 -1 3 -1 -1 1 -1 1 -1 -1 1 1 -1 2 2 1 1 2 -1 2 -1 -1 -1 1 -1 2 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 1 4 -1 -1 1 1 -1 2 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 ...
result:
ok 999998 lines
Test #27:
score: 0
Accepted
time: 83ms
memory: 2088kb
input:
999997 0 9 10 1 3 4 7 1 6 7 2 2 10 1 2 0 3 8 1 3 4 3 4 2 3 5 6 4 5 6 0 6 1 2 6 5 8 5 4 5 0 5 7 3 5 2 7 2 1 7 3 8 1 3 6 0 10 2 4 5 1 8 7 4 5 3 2 9 1 2 1 9 10 5 9 5 4 6 1 4 3 3 9 2 3 1 3 7 2 3 1 9 6 3 5 1 2 5 1 2 5 10 3 7 9 3 3 6 2 3 0 7 5 1 6 3 5 4 4 5 2 2 8 1 2 3 6 5 1 5 3 5 10 1 2 0 5 9 4 5 1 2 5 1...
output:
2 1 -1 2 -1 -1 4 -1 2 6 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 5 -1 -1 -1 -1 1 -1 4 2 3 1 -1 -1 -1 3 2 1 -1 -1 1 3 -1 1 -1 -1 -1 1 -1 -1 1 -1 -1 1 -1 -1 -1 -1 1 -1 -1 1 -1 -1 -1 3 -1 1 -1 -1 -1 1 2 -1 -1 -1 -1 -1 1 2 1 -1 -1 1 -1 6 -1 -1 -1 -1 3 -1 1 -1 -1 -1 -1 2 -1 1 1 -1 -1 1 1 1 1 1 -1 -1 -1 2 1 -1 -...
result:
ok 999997 lines
Test #28:
score: 0
Accepted
time: 67ms
memory: 2296kb
input:
999996 0 4 1 2 3 4 3 3 2 3 0 7 6 1 7 3 7 5 6 7 3 3 5 1 2 1 6 1 2 6 0 10 6 2 10 3 3 10 2 3 4 2 2 1 2 1 9 8 5 6 5 8 6 6 8 3 8 7 3 6 5 8 8 3 5 2 4 1 2 3 2 2 7 1 2 3 6 3 5 6 1 10 9 8 10 5 5 6 4 5 1 5 5 2 3 4 7 3 6 7 1 2 8 1 2 3 8 3 1 7 1 2 3 1 2 2 9 3 3 5 5 6 2 5 6 3 4 3 3 4 1 5 2 2 3 5 7 2 1 4 0 2 8 1 ...
output:
1 -1 6 -1 -1 1 8 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 2 -1 2 1 1 1 -1 2 -1 -1 -1 -1 -1 -1 1 -1 2 1 1 -1 1 2 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 2 -1 1 -1 2 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 -1 -1 4 1 2 1 -1 1 2 2 -1 -1 -1 1 -1 -1 2 1 1 -1 1 1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 2 5 1 -1 -1 ...
result:
ok 999996 lines
Extra Test:
score: 0
Extra Test Passed