Problem:
Score : 800 points

Problem Statement

There are N lines in the xy-plane. The i-th line is represented by A_ix+B_iy=C_i.
Any two lines among the N+2 lines, the above N lines plus the x-axis and y-axis, cross each other at exactly one point.

For each pair 1 \leq i < j \leq N, there is a car at the cross point of the i-th and j-th lines.
Even where three or more lines intersect at a point, a car is individually placed for each pair of lines.
That is, there will be k(k-1)/2 cars placed at the intersection of k lines.

Those cars are already very old, and can only be moved parallel to the x-axis or y-axis.

Takahashi will hold an exhibition of antique cars at a place on the xy-plane.
In order to avoid damaging the half-broken cars too much, he will select the place of the exhibition so that the total distance covered will be minimized when all the cars are moved to the place.
If such a place is not uniquely determined, among the places that satisfy the condition above, the place with the minimum x-coordinate will be selected.
If the place is still not uniquely determined, among the places that satisfy the two conditions above, the place with the minimum y-coordinate will be selected.

Find the place of the exhibition that will be selected.

Constraints

2 \leq N \leq 4 × 10^4

1 \leq |A_i|,|B_i| \leq 10^4(1 \leq i \leq N)

0 \leq |C_i| \leq 10^4(1 \leq i \leq N)

No two given lines are parallel.

All input values are integers.

Inputs

Input is given from Standard Input in the following format:

N
A_1 B_1 C_1
:
A_N B_N C_N

Outputs

Print the x-coordinate and y-coordinate of the place of the exhibition that will be selected, in this order, with a space in between. The output will be judged as correct when the absolute or relative error is at most 10^{-9}.

Sample Input 1

3
1 1 1
2 -1 2
-1 2 2

Sample Output 1

1.000000000000000 1.000000000000000

There is a car at each place shown by a blue circle in the figure. The place to be selected is shown by a purple circle.

Sample Input 2

4
1 1 2
1 -1 0
3 -1 -2
1 -3 4

Sample Output 2

-1.000000000000000 -1.000000000000000

Sample Input 3

7
1 7 8
-2 4 9
3 -8 -5
9 2 -14
6 7 5
-8 -9 3
3 8 10

Sample Output 3

-1.722222222222222 1.325000000000000

Solution in Rust (1.42.0) (judge verdict: Time Limit Exceeded)

pub trait IterScan: Sized {
    type Output;
    fn scan<'a, I: Iterator<Item = &'a str>>(iter: &mut I) -> Option<Self::Output>;
}
pub trait MarkedIterScan: Sized {
    type Output;
    fn mscan<'a, I: Iterator<Item = &'a str>>(self, iter: &mut I) -> Option<Self::Output>;
}
#[derive(Debug)]
pub struct Scanner<'a> {
    iter: std::str::SplitAsciiWhitespace<'a>,
}
impl<'a> Scanner<'a> {
    #[inline]
    pub fn new(s: &'a str) -> Self {
        let iter = s.split_ascii_whitespace();
        Self { iter }
    }
    #[inline]
    pub fn scan<T: IterScan>(&mut self) -> <T as IterScan>::Output {
        T::scan(&mut self.iter).unwrap()
    }
    #[inline]
    pub fn mscan<T: MarkedIterScan>(&mut self, marker: T) -> <T as MarkedIterScan>::Output {
        marker.mscan(&mut self.iter).unwrap()
    }
    #[inline]
    pub fn scan_vec<T: IterScan>(&mut self, size: usize) -> Vec<<T as IterScan>::Output> {
        (0..size)
            .map(|_| T::scan(&mut self.iter).unwrap())
            .collect()
    }
    #[inline]
    pub fn scan_chars(&mut self) -> Vec<char> {
        self.iter.next().unwrap().chars().collect::<Vec<char>>()
    }
    #[inline]
    pub fn scan_chars_with(&mut self, base: char) -> Vec<usize> {
        self.iter
            .next()
            .unwrap()
            .chars()
            .map(|c| (c as u8 - base as u8) as usize)
            .collect::<Vec<usize>>()
    }
}
mod scanner_impls {
    use super::*;
    macro_rules !iter_scan_impls {($($t :ty ) *) =>{$(impl IterScan for $t {type Output =Self ;#[inline ] fn scan <'a ,I :Iterator <Item =&'a str >>(iter :&mut I ) ->Option <Self >{iter .next () ?.parse ::<$t >() .ok () } } ) *} ;}
    iter_scan_impls !(char u8 u16 u32 u64 usize i8 i16 i32 i64 isize f32 f64 u128 i128 String ) ;
    macro_rules !iter_scan_tuple_impl {($($T :ident ) *) =>{impl <$($T :IterScan ) ,*>IterScan for ($($T ,) *) {type Output =($(<$T as IterScan >::Output ,) *) ;#[inline ] fn scan <'a ,It :Iterator <Item =&'a str >>(_iter :&mut It ) ->Option <Self ::Output >{Some (($($T ::scan (_iter ) ?,) *) ) } } } ;}
    iter_scan_tuple_impl!();
    iter_scan_tuple_impl!(A);
    iter_scan_tuple_impl !(A B ) ;
    iter_scan_tuple_impl !(A B C ) ;
    iter_scan_tuple_impl !(A B C D ) ;
    iter_scan_tuple_impl !(A B C D E ) ;
    iter_scan_tuple_impl !(A B C D E F ) ;
    iter_scan_tuple_impl !(A B C D E F G ) ;
    iter_scan_tuple_impl !(A B C D E F G H ) ;
    iter_scan_tuple_impl !(A B C D E F G H I ) ;
    iter_scan_tuple_impl !(A B C D E F G H I J ) ;
    iter_scan_tuple_impl !(A B C D E F G H I J K ) ;
    pub struct ScannerIter<'a, 'b, T> {
        inner: &'b mut Scanner<'a>,
        _marker: std::marker::PhantomData<fn() -> T>,
    }
    impl<'a, 'b, T: IterScan> Iterator for ScannerIter<'a, 'b, T> {
        type Item = <T as IterScan>::Output;
        fn next(&mut self) -> Option<Self::Item> {
            T::scan(&mut self.inner.iter)
        }
    }
    impl<'a> Scanner<'a> {
        #[inline]
        pub fn iter<'b, T: IterScan>(&'b mut self) -> ScannerIter<'a, 'b, T> {
            ScannerIter {
                inner: self,
                _marker: std::marker::PhantomData,
            }
        }
    }
}
pub mod marker {
    use super::*;
    pub struct Usize1;
    impl IterScan for Usize1 {
        type Output = usize;
        #[inline]
        fn scan<'a, I: Iterator<Item = &'a str>>(iter: &mut I) -> Option<Self::Output> {
            usize::scan(iter).map(|x| x.wrapping_sub(1))
        }
    }
    pub struct Isize1;
    impl IterScan for Isize1 {
        type Output = isize;
        #[inline]
        fn scan<'a, I: Iterator<Item = &'a str>>(iter: &mut I) -> Option<Self::Output> {
            isize::scan(iter).map(|x| x.wrapping_sub(1))
        }
    }
}
#[macro_export]
macro_rules !min {($e :expr ) =>{$e } ;($e :expr ,$($es :expr ) ,+) =>{std ::cmp ::min ($e ,min !($($es ) ,+) ) } ;}
#[macro_export]
macro_rules !chmin {($dst :expr ,$($src :expr ) ,+) =>{{let x =std ::cmp ::min ($dst ,min !($($src ) ,+) ) ;$dst =x ;} } ;}
#[macro_export]
macro_rules !max {($e :expr ) =>{$e } ;($e :expr ,$($es :expr ) ,+) =>{std ::cmp ::max ($e ,max !($($es ) ,+) ) } ;}
#[macro_export]
macro_rules !chmax {($dst :expr ,$($src :expr ) ,+) =>{{let x =std ::cmp ::max ($dst ,max !($($src ) ,+) ) ;$dst =x ;} } ;}
/// binary search helper
pub trait Bisect: Copy {
    /// return between two elements
    fn halve(self, other: Self) -> Self;
    /// the end condition of binary search
    fn section_end(self, other: Self) -> bool;
}
mod bisect_impl {
    use super::*;
    macro_rules !impl_bisect_unsigned {($($t :ty ) *) =>{$(impl Bisect for $t {fn halve (self ,other :Self ) ->Self {if self >other {other +(self -other ) /2 } else {self +(other -self ) /2 } } fn section_end (self ,other :Self ) ->bool {(if self >other {self -other } else {other -self } ) <=1 } } ) *} ;}
    macro_rules !impl_bisect_signed {($($t :ty ) *) =>{$(impl Bisect for $t {fn halve (self ,other :Self ) ->Self {(self +other ) /2 } fn section_end (self ,other :Self ) ->bool {(self -other ) .abs () <=1 } } ) *} ;}
    macro_rules !impl_bisect_float {($($t :ty ) *) =>{$(impl Bisect for $t {fn halve (self ,other :Self ) ->Self {(self +other ) /2. } fn section_end (self ,other :Self ) ->bool {(self -other ) .abs () <=1e-10 } } ) *} ;}
    impl_bisect_unsigned !(u8 u16 u32 u64 usize ) ;
    impl_bisect_signed !(i8 i16 i32 i64 isize ) ;
    impl_bisect_float !(f32 f64 ) ;
}
pub fn binary_search<T: Bisect, F: FnMut(T) -> bool>(mut f: F, ok: T, err: T) -> T {
    let mut ok = ok;
    let mut err = err;
    while !ok.section_end(err) {
        let m = ok.halve(err);
        if f(m) {
            ok = m;
        } else {
            err = m;
        }
    }
    ok
}
pub fn lower_bound<T: Bisect + Ord>(v: &[T], x: T) -> usize {
    binary_search(|i| v[i as usize] >= x, v.len() as i64, -1) as usize
}
pub fn upper_bound<T: Bisect + Ord>(v: &[T], x: T) -> usize {
    binary_search(|i| v[i as usize] > x, v.len() as i64, -1) as usize
}
#[derive(Clone, Debug)]
pub struct Compress<T> {
    v: Vec<T>,
}
impl<T: Ord> Compress<T> {
    pub fn get(&self, x: &T) -> usize {
        self.v.binary_search(&x).unwrap()
    }
}
impl<T> Compress<T> {
    pub fn len(&self) -> usize {
        self.v.len()
    }
}
impl<T> std::ops::Index<usize> for Compress<T> {
    type Output = T;
    fn index(&self, index: usize) -> &Self::Output {
        &self.v[index]
    }
}
impl<T: Ord> std::iter::FromIterator<T> for Compress<T> {
    fn from_iter<I: IntoIterator<Item = T>>(iter: I) -> Self {
        use std::collections::BTreeSet;
        let v = iter
            .into_iter()
            .collect::<BTreeSet<T>>()
            .into_iter()
            .collect::<Vec<T>>();
        Self { v }
    }
}
/// binary operaion: $T \circ T \to T$
pub trait Magma {
    /// type of operands: $T$
    type T: Clone + PartialEq;
    /// binary operaion: $\circ$
    fn operate(&self, x: &Self::T, y: &Self::T) -> Self::T;
    #[inline]
    fn reverse_operate(&self, x: &Self::T, y: &Self::T) -> Self::T {
        self.operate(x, y)
    }
}
/// $\forall a,\forall b,\forall c \in T, (a \circ b) \circ c = a \circ (b \circ c)$
pub trait Associative {}
/// associative binary operation
pub trait SemiGroup: Magma + Associative {}
impl<S: Magma + Associative> SemiGroup for S {}
/// $\exists e \in T, \forall a \in T, e \circ a = a \circ e = e$
pub trait Unital: Magma {
    /// identity element: $e$
    fn unit(&self) -> Self::T;
}
/// associative binary operation and an identity element
pub trait Monoid: SemiGroup + Unital {
    /// binary exponentiation: $x^n = x\circ\ddots\circ x$
    fn pow(&self, x: Self::T, n: usize) -> Self::T {
        let mut n = n;
        let mut res = self.unit();
        let mut base = x;
        while n > 0 {
            if n & 1 == 1 {
                res = self.operate(&res, &base);
            }
            base = self.operate(&base, &base);
            n = n >> 1;
        }
        res
    }
}
impl<M: SemiGroup + Unital> Monoid for M {}
/// $\exists e \in T, \forall a \in T, \exists b,c \in T, b \circ a = a \circ c = e$
pub trait Invertible: Magma {
    /// $a$ where $a \circ x = e$
    fn inverse(&self, x: &Self::T) -> Self::T;
}
/// short cut of right inverse binary operation
pub trait RightInvertibleMagma: Magma {
    /// right inverse binary operation: $\cdot \circ (\cdot^{-1})$
    fn rinv_operation(&self, x: &Self::T, y: &Self::T) -> Self::T;
}
/// associative binary operation and an identity element and inverse elements
pub trait Group: Monoid + Invertible {}
impl<G: Monoid + Invertible> Group for G {}
/// $\forall a,\forall b \in T, a \circ b = b \circ a$
pub trait Commutative {}
/// commutative monoid
pub trait AbelianMonoid: Monoid + Commutative {}
impl<M: Monoid + Commutative> AbelianMonoid for M {}
/// commutative group
pub trait AbelianGroup: Group + Commutative {}
impl<G: Group + Commutative> AbelianGroup for G {}
/// $\forall a \in T, a \circ a = a$
pub trait Idempotent {}
/// idempotent monoid
pub trait IdempotentMonoid: Monoid + Idempotent {}
impl<M: Monoid + Idempotent> IdempotentMonoid for M {}
/// $+$
#[derive(Clone, Copy, Debug, Default, Eq, Hash, Ord, PartialEq, PartialOrd)]
pub struct AdditiveOperation<T: Copy + PartialEq + AdditiveIdentity> {
    _marker: std::marker::PhantomData<fn() -> T>,
}
pub trait AdditiveIdentity: Sized + std::ops::Add<Output = Self> {
    fn zero() -> Self;
}
#[macro_use]
mod additive_operation_impl {
    use super::*;
    #[macro_export(local_inner_macros)]
    macro_rules !impl_additive_identity {([$($wh :tt ) *] ,$t :ty ,$zero :expr ) =>{impl <$($wh ) *>AdditiveIdentity for $t {#[inline ] fn zero () ->Self {$zero } } } ;($t :ty ,$zero :expr ) =>{impl AdditiveIdentity for $t {#[inline ] fn zero () ->Self {$zero } } } ;}
    impl_additive_identity!(usize, 0usize);
    impl_additive_identity!(u8, 0u8);
    impl_additive_identity!(u16, 0u16);
    impl_additive_identity!(u32, 0u32);
    impl_additive_identity!(u64, 0u64);
    impl_additive_identity!(isize, 0isize);
    impl_additive_identity!(i8, 0i8);
    impl_additive_identity!(i16, 0i16);
    impl_additive_identity!(i32, 0i32);
    impl_additive_identity!(i64, 0i64);
    impl_additive_identity!(f32, 0.0f32);
    impl_additive_identity!(f64, 0.0f64);
    impl<T: Copy + PartialEq + AdditiveIdentity> AdditiveOperation<T> {
        pub fn new() -> Self {
            Self {
                _marker: std::marker::PhantomData,
            }
        }
    }
    impl<T: Copy + PartialEq + AdditiveIdentity> Magma for AdditiveOperation<T> {
        type T = T;
        #[inline]
        fn operate(&self, x: &Self::T, y: &Self::T) -> Self::T {
            *x + *y
        }
    }
    impl<T: Copy + PartialEq + AdditiveIdentity> Unital for AdditiveOperation<T> {
        #[inline]
        fn unit(&self) -> Self::T {
            AdditiveIdentity::zero()
        }
    }
    impl<T: Copy + PartialEq + AdditiveIdentity> Associative for AdditiveOperation<T> {}
    impl<T: Copy + PartialEq + AdditiveIdentity> Commutative for AdditiveOperation<T> {}
    impl<T: Copy + PartialEq + AdditiveIdentity + std::ops::Neg<Output = T>> Invertible
        for AdditiveOperation<T>
    {
        #[inline]
        fn inverse(&self, x: &Self::T) -> Self::T {
            -*x
        }
    }
    impl<T: Copy + PartialEq + AdditiveIdentity + std::ops::Sub<Output = T>> RightInvertibleMagma
        for AdditiveOperation<T>
    {
        #[inline]
        fn rinv_operation(&self, x: &Self::T, y: &Self::T) -> Self::T {
            *x - *y
        }
    }
}
#[derive(Clone, Debug)]
pub struct BinaryIndexedTree<M: Monoid> {
    n: usize,
    bit: Vec<M::T>,
    m: M,
}
impl<M: Monoid> BinaryIndexedTree<M> {
    #[inline]
    pub fn new(n: usize, m: M) -> Self {
        let bit = vec![m.unit(); n + 1];
        Self { n, bit, m }
    }
    #[inline]
    /// fold [0, k)
    pub fn accumulate0(&self, mut k: usize) -> M::T {
        debug_assert!(k <= self.n);
        let mut res = self.m.unit();
        while k > 0 {
            res = self.m.operate(&res, &self.bit[k]);
            k -= k & !k + 1;
        }
        res
    }
    #[inline]
    /// fold [0, k]
    pub fn accumulate(&self, k: usize) -> M::T {
        self.accumulate0(k + 1)
    }
    #[inline]
    pub fn update(&mut self, k: usize, x: M::T) {
        debug_assert!(k < self.n);
        let mut k = k + 1;
        while k <= self.n {
            self.bit[k] = self.m.operate(&self.bit[k], &x);
            k += k & !k + 1;
        }
    }
}
impl<G: Group> BinaryIndexedTree<G> {
    #[inline]
    pub fn fold(&self, l: usize, r: usize) -> G::T {
        debug_assert!(l < self.n && 0 < r && r <= self.n);
        self.m
            .operate(&self.m.inverse(&self.accumulate0(l)), &self.accumulate0(r))
    }
    #[inline]
    pub fn get(&self, k: usize) -> G::T {
        self.fold(k, k + 1)
    }
    #[inline]
    pub fn set(&mut self, k: usize, x: G::T) {
        let y = self.m.inverse(&self.get(k));
        self.update(k, self.m.operate(&y, &x));
    }
}
impl<M: Monoid> BinaryIndexedTree<M>
where
    M::T: Ord,
{
    #[inline]
    pub fn lower_bound(&self, x: M::T) -> usize {
        let n = self.n;
        let mut acc = self.m.unit();
        let mut pos = 0;
        let mut k = 1 << format!("{:b}", n).len();
        while k > 0 {
            if k + pos <= n && self.m.operate(&acc, &self.bit[k + pos]) < x {
                pos += k;
                acc = self.m.operate(&acc, &self.bit[pos]);
            }
            k >>= 1;
        }
        pos
    }
}
fn main() {
    #[allow(unused_imports)]
    use std::io::{Read as _, Write as _};
    let __out = std::io::stdout();
    let mut __in_buf = String::new();
    std::io::stdin().read_to_string(&mut __in_buf).unwrap();
    let mut scanner = Scanner::new(&__in_buf);
    #[allow(unused_macros)]
    macro_rules !scan {() =>{scan !(usize ) } ;(($($t :tt ) ,*) ) =>{($(scan !($t ) ) ,*) } ;([$t :tt ;$len :expr ] ) =>{(0 ..$len ) .map (|_ |scan !($t ) ) .collect ::<Vec <_ >>() } ;({chars :$b :expr } ) =>{scanner .scan_chars_with ($b ) } ;({$t :tt =>$f :expr } ) =>{$f (scan !($t ) ) } ;(chars ) =>{scanner .scan_chars () } ;($t :ty ) =>{scanner .scan ::<$t >() } ;}
    let mut __out = std::io::BufWriter::new(__out.lock());
    #[allow(unused_macros)]
    macro_rules !print {($($arg :tt ) *) =>(::std ::write !(__out ,$($arg ) *) .unwrap () ) }
    #[allow(unused_macros)]
    macro_rules !println {($($arg :tt ) *) =>(::std ::writeln !(__out ,$($arg ) *) .unwrap () ) }
    #[allow(unused_macros)]
    macro_rules! echo {
        ($iter :expr ) => {
            echo!($iter, "\n")
        };
        ($iter :expr ,$sep :expr ) => {
            let mut iter = $iter;
            if let Some(item) = iter.next() {
                print!("{}", item);
            }
            for item in iter {
                print!("{}{}", $sep, item);
            }
            println!();
        };
    }
    let n = scan!();
    let abc = scan!([(i64, i64, i64); n]);
    let k = (n * (n - 1) / 2) / 2;
    let mut idx: Vec<_> = (0..n).collect();
    let cmp = |p: i64, q: i64, r: i64, s: i64| {
        (p * s.abs() * q.signum())
            .partial_cmp(&(r * q.abs() * s.signum()))
            .unwrap()
    };
    idx.sort_by(|&i, &j| cmp(-abc[i].0, abc[i].1, -abc[j].0, abc[j].1));
    let mut p: Vec<_> = (0..n).collect();
    let x = binary_search(
        |x| {
            p.sort_by(|&i, &j| {
                let (ai, bi, ci) = abc[idx[i]];
                let (aj, bj, cj) = abc[idx[j]];
                let l = aj * bi.abs() * bj.signum() - ai * bj.abs() * bi.signum();
                let r = cj * bi.abs() * bj.signum() - ci * bj.abs() * bi.signum();
                (l as f64 * x).partial_cmp(&(r as f64)).unwrap()
            });
            let mut cnt = 0;
            let mut bit = BinaryIndexedTree::new(n, AdditiveOperation::new());
            for (i, &p) in p.iter().enumerate() {
                cnt += i - bit.accumulate0(p);
                bit.update(p, 1);
            }
            cnt <= k
        },
        1e10,
        -1e10,
    );
    idx.sort_by(|&i, &j| cmp(-abc[i].1, abc[i].0, -abc[j].1, abc[j].0));
    let y = binary_search(
        |x| {
            p.sort_by(|&i, &j| {
                let (bi, ai, ci) = abc[idx[i]];
                let (bj, aj, cj) = abc[idx[j]];
                let l = aj * bi.abs() * bj.signum() - ai * bj.abs() * bi.signum();
                let r = cj * bi.abs() * bj.signum() - ci * bj.abs() * bi.signum();
                (l as f64 * x).partial_cmp(&(r as f64)).unwrap()
            });
            let mut cnt = 0;
            let mut bit = BinaryIndexedTree::new(n, AdditiveOperation::new());
            for (i, &p) in p.iter().enumerate() {
                cnt += i - bit.accumulate0(p);
                bit.update(p, 1);
            }
            cnt <= k
        },
        1e10,
        -1e10,
    );
    println!("{} {}", x, y);
}