Problem:
Score : 400 points

Problem Statement

We have N dice arranged in a line from left to right. The i-th die from the left shows p_i numbers from 1 to p_i with equal probability when thrown.

We will choose K adjacent dice, throw each of them independently, and compute the sum of the numbers shown. Find the maximum possible value of the expected value of this sum.

Constraints

1 ≤ K ≤ N ≤ 200000

1 ≤ p_i ≤ 1000

All values in input are integers.

Input

Input is given from Standard Input in the following format:

N K
p_1 ... p_N

Output

Print the maximum possible value of the expected value of the sum of the numbers shown.

Your output will be considered correct when its absolute or relative error from our answer is at most 10^{-6}.

Sample Input 1

5 3
1 2 2 4 5

Sample Output 1

7.000000000000

When we throw the third, fourth, and fifth dice from the left, the expected value of the sum of the numbers shown is 7. This is the maximum value we can achieve.

Sample Input 2

4 1
6 6 6 6

Sample Output 2

3.500000000000

Regardless of which die we choose, the expected value of the number shown is 3.5.

Sample Input 3

10 4
17 13 13 12 15 20 10 13 17 11

Sample Output 3

32.000000000000

Solution in Rust (1.42.0) (judge verdict: Accepted)

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>>()
    }
}
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,
            }
        }
    }
}
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 ;} } ;}
#[derive(Clone, Debug)]
pub struct QueueAggregation<M: Monoid> {
    front_stack: Vec<(M::T, M::T)>,
    back_stack: Vec<(M::T, M::T)>,
    monoid: M,
}
impl<M: Monoid> QueueAggregation<M> {
    pub fn new(monoid: M) -> Self {
        Self {
            front_stack: Vec::new(),
            back_stack: Vec::new(),
            monoid,
        }
    }
    #[inline]
    pub fn len(&self) -> usize {
        self.front_stack.len() + self.back_stack.len()
    }
    #[inline]
    pub fn is_empty(&self) -> bool {
        self.front_stack.is_empty() && self.back_stack.is_empty()
    }
    #[inline]
    pub fn fold_all(&self) -> M::T {
        self.monoid.operate(
            self.front_stack
                .last()
                .map(|t| &t.0)
                .unwrap_or(&self.monoid.unit()),
            self.back_stack
                .last()
                .map(|t| &t.0)
                .unwrap_or(&self.monoid.unit()),
        )
    }
    #[inline]
    pub fn last(&self) -> Option<&M::T> {
        self.back_stack
            .last()
            .or(self.front_stack.first())
            .map(|t| &t.1)
    }
    #[inline]
    pub fn push(&mut self, value: M::T) {
        let x = self.monoid.operate(
            self.back_stack
                .last()
                .map(|t| &t.0)
                .unwrap_or(&self.monoid.unit()),
            &value,
        );
        self.back_stack.push((x, value));
    }
    #[inline]
    fn push_front(&mut self, value: M::T) {
        let x = self.monoid.operate(
            &value,
            self.front_stack
                .last()
                .map(|t| &t.0)
                .unwrap_or(&self.monoid.unit()),
        );
        self.front_stack.push((x, value));
    }
    #[inline]
    pub fn pop(&mut self) -> Option<M::T> {
        if self.front_stack.is_empty() {
            let v = self
                .back_stack
                .drain(..)
                .map(|t| t.1)
                .rev()
                .collect::<Vec<_>>();
            for x in v.into_iter() {
                self.push_front(x)
            }
        }
        self.front_stack.pop().map(|t| t.1)
    }
}
/// 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 {}
/// binary operation to select larger element
#[derive(Clone, Copy, Debug, Default, Eq, Hash, Ord, PartialEq, PartialOrd)]
pub struct MaxOperation<T: Clone + Ord + MinimumBounded> {
    _marker: std::marker::PhantomData<fn() -> T>,
}
pub trait MinimumBounded {
    fn minimum() -> Self;
}
mod max_operation_impl {
    use super::*;
    macro_rules !impl_minimum_with_min {([$($wh :tt ) *] ,$t :ty ,$min :expr ) =>{impl <$($wh ) *>MinimumBounded for $t {#[inline ] fn minimum () ->Self {$min } } } ;($t :ty ,$min :expr ) =>{impl MinimumBounded for $t {#[inline ] fn minimum () ->Self {$min } } } ;}
    impl_minimum_with_min!(usize, std::usize::MIN);
    impl_minimum_with_min!(u8, std::u8::MIN);
    impl_minimum_with_min!(u16, std::u16::MIN);
    impl_minimum_with_min!(u32, std::u32::MIN);
    impl_minimum_with_min!(u64, std::u64::MIN);
    impl_minimum_with_min!(isize, std::isize::MIN);
    impl_minimum_with_min!(i8, std::i8::MIN);
    impl_minimum_with_min!(i16, std::i16::MIN);
    impl_minimum_with_min!(i32, std::i32::MIN);
    impl_minimum_with_min!(i64, std::i64::MIN);
    macro_rules !impl_minimum_tuple {($($T :ident ) *) =>{impl <$($T :MinimumBounded ) ,*>MinimumBounded for ($($T ,) *) {#[inline ] fn minimum () ->Self {($(<$T as MinimumBounded >::minimum () ,) *) } } } ;}
    impl_minimum_tuple!();
    impl_minimum_tuple!(A);
    impl_minimum_tuple !(A B ) ;
    impl_minimum_tuple !(A B C ) ;
    impl_minimum_tuple !(A B C D ) ;
    impl_minimum_tuple !(A B C D E ) ;
    impl_minimum_tuple !(A B C D E F ) ;
    impl_minimum_tuple !(A B C D E F G ) ;
    impl_minimum_tuple !(A B C D E F G H ) ;
    impl_minimum_tuple !(A B C D E F G H I ) ;
    impl_minimum_tuple !(A B C D E F G H I J ) ;
    impl_minimum_tuple !(A B C D E F G H I J K ) ;
    impl<T: Clone + Ord + MinimumBounded> MaxOperation<T> {
        pub fn new() -> Self {
            Self {
                _marker: std::marker::PhantomData,
            }
        }
    }
    impl<T: Clone + Ord + MinimumBounded> Magma for MaxOperation<T> {
        type T = T;
        #[inline]
        fn operate(&self, x: &Self::T, y: &Self::T) -> Self::T {
            std::cmp::max(x, y).clone()
        }
    }
    impl<T: Clone + Ord + MinimumBounded> Unital for MaxOperation<T> {
        #[inline]
        fn unit(&self) -> Self::T {
            MinimumBounded::minimum()
        }
    }
    impl<T: Clone + Ord + MinimumBounded> Associative for MaxOperation<T> {}
    impl<T: Clone + Ord + MinimumBounded> Commutative for MaxOperation<T> {}
    impl<T: Clone + Ord + MinimumBounded> Idempotent for MaxOperation<T> {}
}
/// $+$
#[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
        }
    }
}
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 <_ >>() } ;({$t :tt =>$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 k = scan!();
    let p = scan!([usize; n]);
    let mut q = QueueAggregation::new(AdditiveOperation::new());
    let mut ans = 0;
    for p in p {
        q.push(p + 1);
        if q.len() == k {
            chmax!(ans, q.fold_all());
            q.pop();
        }
    }
    println!("{}", ans as f64 / 2.);
}