Problem:
Score : 400 points

Problem Statement

There are N towns located in a line, conveniently numbered 1 through N. Takahashi the merchant is going on a travel from town 1 to town N, buying and selling apples.

Takahashi will begin the travel at town 1, with no apple in his possession. The actions that can be performed during the travel are as follows:

Move: When at town i (i < N), move to town i + 1.

Merchandise: Buy or sell an arbitrary number of apples at the current town. Here, it is assumed that one apple can always be bought and sold for A_i yen (the currency of Japan) at town i (1 ≦ i ≦ N), where A_i are distinct integers. Also, you can assume that he has an infinite supply of money.

For some reason, there is a constraint on merchandising apple during the travel: the sum of the number of apples bought and the number of apples sold during the whole travel, must be at most T. (Note that a single apple can be counted in both.)

During the travel, Takahashi will perform actions so that the profit of the travel is maximized. Here, the profit of the travel is the amount of money that is gained by selling apples, minus the amount of money that is spent on buying apples. Note that we are not interested in apples in his possession at the end of the travel.

Aoki, a business rival of Takahashi, wants to trouble Takahashi by manipulating the market price of apples. Prior to the beginning of Takahashi's travel, Aoki can change A_i into another arbitrary non-negative integer A_i' for any town i, any number of times. The cost of performing this operation is |A_i - A_i'|. After performing this operation, different towns may have equal values of A_i.

Aoki's objective is to decrease Takahashi's expected profit by at least 1 yen. Find the minimum total cost to achieve it. You may assume that Takahashi's expected profit is initially at least 1 yen.

Constraints

1 ≦ N ≦ 10^5

1 ≦ A_i ≦ 10^9 (1 ≦ i ≦ N)

A_i are distinct.

2 ≦ T ≦ 10^9

In the initial state, Takahashi's expected profit is at least 1 yen.

Input

The input is given from Standard Input in the following format:

N T
A_1 A_2 ... A_N

Output

Print the minimum total cost to decrease Takahashi's expected profit by at least 1 yen.

Sample Input 1

3 2
100 50 200

Sample Output 1

1

In the initial state, Takahashi can achieve the maximum profit of 150 yen as follows:

Move from town 1 to town 2.

Buy one apple for 50 yen at town 2.

Move from town 2 to town 3.

Sell one apple for 200 yen at town 3.

If, for example, Aoki changes the price of an apple at town 2 from 50 yen to 51 yen, Takahashi will not be able to achieve the profit of 150 yen. The cost of performing this operation is 1, thus the answer is 1.

There are other ways to decrease Takahashi's expected profit, such as changing the price of an apple at town 3 from 200 yen to 199 yen.

Sample Input 2

5 8
50 30 40 10 20

Sample Output 2

2

Sample Input 3

10 100
7 10 4 5 9 3 6 8 2 1

Sample Output 3

2

Solution in Rust (1.15.1) (judge verdict: Wrong Answer)

#[allow(unused_macros)]
macro_rules! input {
    (source = $s:expr, $($r:tt)*) => {
        let mut iter = $s.split_whitespace();
        let mut next = || { iter.next().unwrap() };
        input_inner!{next, $($r)*}
    };
    ($($r:tt)*) => {
        let stdin = std::io::stdin();
        let mut bytes = std::io::Read::bytes(std::io::BufReader::new(stdin.lock()));
        let mut next = move || -> String{
            bytes
                .by_ref()
                .map(|r|r.unwrap() as char)
                .skip_while(|c|c.is_whitespace())
                .take_while(|c|!c.is_whitespace())
                .collect()
        };
        input_inner!{next, $($r)*}
    };
}
 
#[allow(unused_macros)]
macro_rules! input_inner {
    ($next:expr) => {};
    ($next:expr, ) => {};
 
    ($next:expr, $var:ident : $t:tt $($r:tt)*) => {
        let $var = read_value!($next, $t);
        input_inner!{$next $($r)*}
    };
}
 
#[allow(unused_macros)]
macro_rules! read_value {
    ($next:expr, ( $($t:tt),* )) => {
        ( $(read_value!($next, $t)),* )
    };
 
    ($next:expr, [ $t:tt ; $len:expr ]) => {
        (0..$len).map(|_| read_value!($next, $t)).collect::<Vec<_>>()
    };
 
    ($next:expr, chars) => {
        read_value!($next, String).chars().collect::<Vec<char>>()
    };
 
    ($next:expr, bytes) => {
        read_value!($next, String).into_bytes()
    };
 
    ($next:expr, usize1) => {
        read_value!($next, usize) - 1
    };
 
    ($next:expr, $t:ty) => {
        $next().parse::<$t>().expect("Parse error")
    };
}
 
use std::cmp::Ordering;
 
/// Equivalent to std::lowerbound and std::upperbound in c++
pub trait BinarySearch<T> {
    fn lower_bound(&self, &T) -> usize;
    fn upper_bound(&self, &T) -> usize;
}
 
impl<T: Ord> BinarySearch<T> for [T] {
    fn lower_bound(&self, x: &T) -> usize {
        let mut low = 0;
        let mut high = self.len();
 
        while low != high {
            let mid = (low + high) / 2;
            match self[mid].cmp(x) {
                Ordering::Less => {
                    low = mid + 1;
                }
                Ordering::Equal | Ordering::Greater => {
                    high = mid;
                }
            }
        }
        low
    }
 
    fn upper_bound(&self, x: &T) -> usize {
        let mut low = 0;
        let mut high = self.len();
 
        while low != high {
            let mid = (low + high) / 2;
            match self[mid].cmp(x) {
                Ordering::Less | Ordering::Equal => {
                    low = mid + 1;
                }
                Ordering::Greater => {
                    high = mid;
                }
            }
        }
        low
    }
}
 
 
 
 
 
 
use std::cmp;
use std::cmp::min;
use std::collections::BTreeMap;
use std::process;
use std::cmp::Ord;
use std::collections::HashMap;
use std::collections::HashSet;
use std::collections::VecDeque;
use std::collections::BTreeSet;
use std::mem;
 
#[derive(PartialEq, Eq)]
pub struct point(i64, i64, i64);
impl Ord for point {
    fn cmp(&self, other: &point) -> Ordering {
        self.0.cmp(&other.0)
    }
}
 
impl PartialOrd for point {
    fn partial_cmp(&self, other: &point) -> Option<Ordering> {
        Some(self.cmp(other))
    }
}
/*
impl PartialEq for point {
    fn eq(&self, other: &point) -> bool {
        self.0 == other.0
    }
}
impl Eq for point {
    fn eq(&self, other: &point) -> bool {
        self.0 == other.0
    }s
}*/
type P = (i64 , i64);
fn bfs(start:&P, goal:&P, map:&Vec<Vec<char>>) -> i64 {
        let dx = vec![1, 0, -1, 0];
        let dy = vec![0, 1, 0, -1];
        let s = (start.0, start.1);
        let g = (goal.0 , goal.1);
        let mut queue:VecDeque<P> = VecDeque::new();
        let mut d:Vec<Vec<i64>> = Vec::new();
        for i in 0..map.len(){
            d.push(Vec::new());
            for j in 0..map[i].len(){
                d[i].push(30000000);
            }
        }
        queue.push_back((s.0, s.1));
        d[s.0 as usize][s.1 as usize] = 0;
        while(queue.len()!=0){
            let mut p:P = queue[0];
            queue.pop_front();
            if p.0 == g.0 && p.1 == g.1{break;}
            for i in 0..4{
                let nx = p.0 + dx[i];
                let ny = p.1 + dy[i];
                if (0<=nx && nx <map.len() as i64 && 0<=ny &&ny<map[0].len() as i64 && map[nx as usize][ny as usize]!='#' && d[nx as usize][ny as usize] == 30000000 ){
                    queue.push_back((nx, ny));
                    d[nx as usize][ny as usize] = d[p.0 as usize][p.1 as usize] + 1;
                }
            }
 
        }
        d[goal.0 as usize][goal.1 as usize]
}
 
fn bfs01(start:&P, goal:&P, map:&Vec<Vec<char>>) -> i64 {
        let dx = vec![1, 0, -1, 0];
        let dy = vec![0, 1, 0, -1];
        let s = (start.0, start.1);
        let g = (goal.0 , goal.1);
        let mut queue:VecDeque<P> = VecDeque::new();
        let mut d:Vec<Vec<i64>> = Vec::new();
        for i in 0..map.len(){
            d.push(Vec::new());
            for j in 0..map[i].len(){
                d[i].push(30000000);
            }
        }
        queue.push_back((s.0, s.1));
        d[s.0 as usize][s.1 as usize] = 0;
        while(queue.len()!=0){
            let mut p:P = queue[0];
            queue.pop_front();
            if p.0 == g.0 && p.1 == g.1{break;}
            for i in 0..4{
                let nx = p.0 + dx[i];
                let ny = p.1 + dy[i];
                if (0<=nx && nx <map.len() as i64 && 0<=ny &&ny<map[0].len() as i64 && d[nx as usize][ny as usize] == 30000000 ){
                    if map[nx as usize][ny as usize] == '#'{
                        queue.push_back((nx, ny));
                        d[nx as usize][ny as usize] = d[p.0 as usize][p.1 as usize] + 1;
                    }
                    else{
                        queue.push_front((nx, ny));
                        d[nx as usize][ny as usize] = d[p.0 as usize][p.1 as usize];
                    }
                }
            }
 
        }
        d[goal.0 as usize][goal.1 as usize]
}
struct UnionFind_W{
    par:Vec<usize>,
    rank:Vec<usize>,
    size:Vec<usize>,
    diff_weight:Vec<i64>,    
}
impl UnionFind_W{
    fn init(n:usize) -> UnionFind_W{
        let mut par = vec![0;n];
        for i in 0..n{
            par[i] = i;    
        }
        UnionFind_W{
            par:par,
            rank:vec![0;n], 
            size:vec![1;n], 
            diff_weight:vec![0i64;n],
        }
    }
    fn find(&mut self, x:usize) ->usize{
        if(self.par[x] == x){
            x    
        }
        else{
            let p = self.par[x];
            let r = self.find(p);
            self.diff_weight[x] += self.diff_weight[p];
            self.par[x] = r;
            r
        }
    }
    fn weight(&mut self,x:usize)->i64{
        self.find(x);
        self.diff_weight[x]
    }
    fn diff(&mut self, x:usize, y:usize)->i64{
        let res = self.weight(x) - self.weight(y);
        res
    }
    fn same(&mut self, a:usize, b:usize)->bool{
        self.find(a) == self.find(b)    
    }
    fn unite(&mut self, xx:usize, yy:usize, ww:i64) -> bool{
        let mut w = ww.clone();
        let mut x = xx.clone();
        let mut y = yy.clone();

        w += self.weight(x);
        w -= self.weight(y);
        x = self.find(x);
        y = self.find(y);
        if (x == y) {return false;}
        if self.rank[x] < self.rank[y]{
            mem::swap(&mut x, &mut y);
            w = -w;
        }

        if self.rank[x] == self.rank[y]{
            self.rank[y] += 1;
        }
        self.par[y] = x;
        self.size[x] += self.size[y];
        self.diff_weight[y] = w;
        return true;
    }
    fn check_size(&mut self, a:usize) -> usize{
        let x = self.find(a);
        let s = self.size[x];
        s    
    }
}





struct UnionFind{
    par:Vec<usize>,
    rank:Vec<usize>,
    size:Vec<usize>,    
}
impl UnionFind{
    fn init(n:usize) -> UnionFind{
        let mut par = vec![0;n];
        for i in 0..n{
            par[i] = i;    
        }
        UnionFind{
            par:par,
            rank:vec![0;n], 
            size:vec![1;n], 
        }
    }
    fn find(&mut self, x:usize) ->usize{
        if(self.par[x] == x){
            x    
        }
        else{
            let p = self.par[x];
            let res = self.find(p);
            self.par[x] = res;
            res
        }
    }
    fn same(&mut self, a:usize, b:usize)->bool{
        self.find(a) == self.find(b)    
    }
    fn unite(&mut self, a:usize, b:usize){
        let x = self.find(a);
        let y = self.find(b);
        if x != y{
            if (self.rank[x] < self.rank[y]){
                self.par[x] = y;
                self.size[y] += self.size[x];
            }
            else{
                self.par[y] = x;
                self.size[x] += self.size[y];
                if(self.rank[x] == self.rank[y]){ self.rank[x]+=1;}
            }
        }
    }
    fn check_size(&mut self, a:usize) -> usize{
        let x = self.find(a);
        let s = self.size[x];
        s    
    }
}
fn gcd(a:usize, b:usize)->usize{
    if b==0{return a;}
    gcd(b, a%b)
}
fn lcm(a: usize, b: usize) -> usize {
    a / gcd(a, b) * b
}
fn extgcd(a:usize, b:usize, x:&mut usize, y:&mut usize)->usize{
    let mut d = a;
    if b != 0{
        d = extgcd(b, a%b, y, x);
        *y -= (a/b) * (*x);    
    }    
    else{
        *x = 1;
        *y = 0;
    }
    d
}

use std::ops::{Deref, DerefMut, Index, IndexMut};
use std::any::{Any, TypeId};

struct vec2<T>(Vec<T>);
 
impl<T> Deref for vec2<T> {
    type Target = Vec<T>;
    fn deref(&self) -> &Vec<T> {
        &self.0
    }
}
 
impl<T> DerefMut for vec2<T> {
    fn deref_mut(&mut self) -> &mut Vec<T> {
        &mut self.0
    }
}
impl<T> Index<i64> for vec2<T> {
    type Output = T;
    fn index(&self, index: i64) -> &T {
        &self.0[index as usize]
    }
}
 
impl<T> IndexMut<i64> for vec2<T> {
    fn index_mut(&mut self, index: i64) -> &mut T {
        &mut self.0[index as usize]
    }
}

fn segment_sieve(a:usize, b:usize) -> Vec<bool>{
    let mut is_prime= vec![false; b+1];
    let mut is_prime_small= vec![false; b+1];
    for i in 0..b{
        if i*i>=b{break;}    
        is_prime_small[i] = true;
    }
    for i in 0..b{
        if i>=b-a{break;}
        is_prime[i] = true;    
    }
    for i in 2..b{
        if i*i>=b{break;}
        if is_prime_small[i] == true{


            let mut j = 2*i;
            while(j*j<b){
                is_prime_small[j] = false;
                j+=i;
            }
            
            j = cmp::max(2, ((a+i-1)/i)*i);
            while(j<b){
                is_prime[j-a] = false;
                j+=i;    
            }    
        }    
    }
    is_prime


}
fn sieve(n:usize) -> (Vec<bool>, Vec<usize>){
    let mut p:usize = 0;
    let mut is_prime = vec![false; n+1];
    let mut prime = Vec::new();
    for i in 0..n+1{
        is_prime[i] = true;
    }
    is_prime[0] = false;
    is_prime[1] = false;
    for i in 2..n+1{
        if is_prime[i]{
            prime.push(i as usize);
            let mut j = 2*i;
            while(j<=n){
                is_prime[j] = false;
                j+=i;
            }
        }
    }
    (is_prime, prime)
    
}
fn divisor(n:usize) -> Vec<usize>{
    let mut res:Vec<usize> = Vec::new(); 
    for i in 1..n+1{
        if i*i>n{break;}
        if n%i == 0{
            res.push(i);
            if i != n/i{
                res.push(n/i);    
            }    
        }    
    }
    res
}

fn prime_factor(nn:usize) -> HashMap<usize, usize>{
    let mut res:HashMap<usize, usize> = HashMap::new();
    let mut n = nn.clone();
    for i in 2..n+1{
        if i*i>n{break;}
        while(n%i == 0){
            *res.entry(i).or_insert(0) += 1;
            n/=i;    
        }    
    }
    if (n != 1){res.insert(n,1);}
    res
}

use std::collections::BinaryHeap;

#[derive(PartialEq)]
struct mf(i64);

impl Eq for mf {}

impl PartialOrd for mf {
    fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
        other.0.partial_cmp(&self.0)
    }
}

impl Ord for mf {
    fn cmp(&self, other: &mf) -> Ordering {
        self.partial_cmp(other).unwrap()
    }
}




#[derive(Copy, Clone, Eq, PartialEq)]
struct edge1{from:usize, to:usize, cost:i64}
impl Ord for edge1 {
    fn cmp(&self, other: &edge1) -> Ordering {
        other.cost.cmp(&self.cost)
    }
}

impl PartialOrd for edge1 {
    fn partial_cmp(&self, other: &edge1) -> Option<Ordering> {
        Some(self.cmp(other))
    }
}
fn kruskal(es:&mut Vec<edge1>, n:usize) -> i64{
    es.sort();
    es.reverse();
    let mut uf =  UnionFind::init(n);
    let mut res = 0;
    for i in 0..es.len(){
        let e = es[i];
        if uf.same(e.from, e.to) == false{
            uf.unite(e.from, e.to);
            res += e.cost;
        }

    }
    res
}




fn bellman_ford(s:usize, n:usize, inf:i64, es:&Vec<edge1>) -> Vec<i64>{
    let mut d = vec![inf;n];
    d[s] = 0;
    for j in 0..n-1{
        let mut update = false;
        for i in 0..es.len(){
            let e = es[i];
            if (d[e.from] != inf && d[e.to] > d[e.from] + e.cost){
                d[e.to] = d[e.from] + e.cost;
            }
                
        }
    }

    d
}
fn find_negative_loop(n:usize, es:&Vec<edge1>, inf:i64) -> bool{
    let mut d = vec![0;n];
    for i in 0..n{
        for j in 0..es.len(){
            let e = es[j];
            if d[e.to] > d[e.from] + e.cost{
                d[e.to] = d[e.from] + e.cost;
                if (i == n-1) {return false;}
            }
        }
    }
    return true;
}
#[derive(Copy, Clone, Eq, PartialEq)]
struct State{
    cost: i64,
    position: usize,
}
impl Ord for State {
    fn cmp(&self, other: &State) -> Ordering {
        // Notice that the we flip the ordering on costs.
        // In case of a tie we compare positions - this step is necessary
        // to make implementations of `PartialEq` and `Ord` consistent.
        other.cost.cmp(&self.cost)
    }
}

// `PartialOrd` needs to be implemented as well.
impl PartialOrd for State {
    fn partial_cmp(&self, other: &State) -> Option<Ordering> {
        Some(self.cmp(other))
    }
}

struct edge2{
    to:usize,
    cost:i64,
}
fn dijkstra(adj_list: &Vec<Vec<edge2>>, start:usize, inf:i64) -> Vec<i64>{
    let mut d= vec![inf;adj_list.len()];
    let mut heap = BinaryHeap::new();
    d[start] = 0;
    heap.push(State{cost: 0, position: start });
    while (heap.len() != 0){
        let p = heap.pop().unwrap();
        let v = p.position;
        if(d[v] < p.cost) {continue;}
        for i in 0..adj_list[v].len(){
            let e = &adj_list[v][i];
            if d[e.to] > d[v] + e.cost{
                d[e.to] = d[v] + e.cost;
                heap.push(State{cost:d[e.to], position:e.to});
            }
        }
            
    }
    d
        
}
// no verify
fn prim(n:usize, cost:&Vec<Vec<i64>>, inf:i64, s:usize) -> i64{
    let mut mincost = vec![inf;n];
    let mut used = vec![false;n];
    mincost[s] = 0;
    let mut res = 0;
    while(true){
        let mut v:i64 = -1;
        for  u in 0..n{
            if (used[u] == false && (v == -1 || mincost[u] <mincost[v as usize])){v = u.clone() as i64;}
        }
        if v == -1{break;}
        used[v as usize] = true;
        res += mincost[v as usize];
        for u in 0.. n{
            mincost[u] = cmp::min(mincost[u], cost[v as usize][u]);
        }
    }
    return res;
}
//
fn find_negative_loop2(n:usize, es:&Vec<edge1>, inf:i64, dist:&mut Vec<i64>) -> Vec<bool>{
    let mut neg = vec![false;n];
    for i in 0..n{
        for j in 0..es.len(){
            
            let e = es[j];
            if dist[e.from] == inf{continue;}

            if dist[e.to] > dist[e.from] + e.cost{
                dist[e.to] = dist[e.from] + e.cost;
                neg[e.to] = true;
            }
            if neg[e.from] == true{ neg[e.to] = true;}
        }
    }
    return neg;
}
fn mod_for_big_int(k:Vec<char>, C:usize)-> usize{
    let mut k_mod_C = 0;
    for i in 0..k.len(){
        k_mod_C = (k_mod_C*10+(k[i] as usize - 48) as usize)%C;
    }
    k_mod_C
}
/*
fn imos() {
    input!{
        n:usize,
        m:usize,
        q:usize,
        lr:[(usize, usize);m],
        pq:[(usize, usize);q],
    }
    let mut v = vec![vec![0;n+2];n+2];
    for i in 0..m{
        v[lr[i].0][lr[i].1] +=1;
    }
    
    for i in 1..n+2{
        for j in 1..n+2{

            v[i][j] +=v[i-1][j];
        }
    }
    for i in 1..n+2{
        for j in 1..n+2{

            v[i][j] +=v[i][j-1];
        }
    }
    for i in 0..q{
        println!("{}", v[pq[i].1][pq[i].1] - v[pq[i].0-1][pq[i].1] - v[pq[i].1][pq[i].0-1] + v[pq[i].0-1][pq[i].0-1] );
    }
}
*/
/*
fn main(){
    input!{
        n:usize,
        xy:[(usize, usize);n-1],
        q:usize,
        ab:[(usize, usize);q],
    }
    let MAX_DEPTH =1+ ( (100000 as f64 ).log2() ) as usize;
    let mut G:Vec<Vec<usize>> = Vec::new();
    let mut root = 1;
    let mut parent = vec![vec![0;n+1];MAX_DEPTH];
    let mut depth = vec![0;n+1];
    fn dfs(G:&Vec<Vec<usize>>,parent:&mut Vec<Vec<i64>>,depth:&mut Vec<i64>, v:i64, p:i64, d:i64){
        let v = v as usize;
        parent[0][v] = p as i64;
        depth[v] = d as i64;
        for i in 0..G[v].len(){
            if G[v][i] != p as usize{
                dfs(G, parent, depth, G[v][i] as i64, v as i64, d+1);
            }
        }
    }
    fn init(G:&Vec<Vec<usize>>, V:usize, root:usize, parent:&mut Vec<Vec<i64>>,depth:&mut Vec<i64>, MAX_DEPTH:usize){
        dfs(G,parent,depth, root as i64, -1, 0);
        for k in 0..(MAX_DEPTH+1){
            if k+1>=MAX_DEPTH{
                break;
            }

            for v in 0..V{
                if parent[k][v] < 0 { parent[k+1][v] = -1;}
                else{ parent[k+1][v] = parent[k][parent[k][v] as usize];}
            }
        }
    }
    fn lca(u:usize, v:usize, parent:& Vec<Vec<i64>>,depth:&Vec<i64>, MAX_DEPTH:usize) -> i64{
        let mut u = u.clone();
        let mut v = v.clone();
        let mut du = depth[u];
        let mut dv = depth[v];
        if depth[u] > depth[v]{mem::swap(&mut u, &mut v);}
        for k in 0..MAX_DEPTH{
            let shifted = (depth[v] - depth[u]) >> k;
            if (shifted & 1) == 1{
                v = parent[k][v] as usize;
            }
            if shifted == 0{
                break;
            }
        }
        //if u==v{return u as i64;}

        if u == v{ return (du-dv).abs() + 1;}
        for k in (0..MAX_DEPTH).rev(){
            if parent[k][u] != parent[k][v]{
                u = parent[k][u] as usize;
                v = parent[k][v] as usize;
            }
        }
        //return parent[0][u];
        let mut dd = 0;
        if parent[0][u] != -1{
            dd = depth[parent[0][u] as usize];
        }
        return du-dd*2+dv+1;
    }
    for i in 0..n+1{
        G.push(Vec::new());
    }
    for i in 0..n-1{
        G[xy[i].0].push(xy[i].1);
        G[xy[i].1].push(xy[i].0);
    }
    let mut parent = vec![vec![0;n+1];MAX_DEPTH];
    let mut depht = vec![0;n+1];
    init(&G, n+1, 1, &mut parent,&mut depth, MAX_DEPTH); 
    for i in 0..q{
        println!("{}", lca(ab[i].0, ab[i].1, &parent, &depth, MAX_DEPTH) );
        }



}
*/
fn main(){
    input!{
        n:usize,
        t:usize,
        a:[usize;n],
    }
    let mut ma = vec![0;n+1];
    let mut mi = vec![10000000000;n+1];
    for i in 0..n{
        mi[i+1] = cmp::min(mi[i], a[i]);
    }
    for i in (0..n).rev(){
        ma[i] = cmp::max(ma[i+1], a[i]);
    }
    let mut x= 0;
    for i in 1..n-1{
        if ma[i]>=mi[i+1]{
        x = cmp::max(x, ma[i] - mi[i+1] );
        }
    }
    let mut h:HashMap<usize, usize> = HashMap::new();
    for i in 0..a.len(){
        h.entry(a[i]).or_insert(i);
    }
    let mut ans = 0;
    for i in 0..a.len(){
        if h.contains_key(&(a[i]+x)){
            let ind=h[&(a[i]+x)];
            if ind>i{
                ans +=1;
            }
        }
    }
    println!("{}", cmp::min(t/2, ans));
}