Problem:
Score : 100 points

Problem Statement

In this problem, we use the 24-hour clock.

Takahashi gets up exactly at the time H_1 : M_1 and goes to bed exactly at the time H_2 : M_2. (See Sample Inputs below for clarity.)
He has decided to study for K consecutive minutes while he is up.
What is the length of the period in which he can start studying?

Constraints

0 \le H_1, H_2 \le 23

0 \le M_1, M_2 \le 59

The time H_1 : M_1 comes before the time H_2 : M_2.

K \ge 1

Takahashi is up for at least K minutes.

All values in input are integers (without leading zeros).

Input

Input is given from Standard Input in the following format:

H_1 M_1 H_2 M_2 K

Output

Print the length of the period in which he can start studying, as an integer.

Sample Input 1

10 0 15 0 30

Sample Output 1

270

Takahashi gets up at exactly ten in the morning and goes to bed at exactly three in the afternoon.
It takes 30 minutes to do the study, so he can start it in the period between ten o'clock and half-past two. The length of this period is 270 minutes, so we should print 270.

Sample Input 2

10 0 12 0 120

Sample Output 2

0

Takahashi gets up at exactly ten in the morning and goes to bed at exactly noon. It takes 120 minutes to do the study, so he has to start it at exactly ten o'clock. Thus, we should print 0.

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

use std::fmt::Debug;
use std::io::*;

use std::cmp::PartialOrd;
use std::str::*;

use std::string::*;


#[derive(Eq, PartialEq, Clone, Debug)]
pub struct Rev<T>(pub T);

impl<T: PartialOrd> PartialOrd for Rev<T> {
    fn partial_cmp(&self, other: &Rev<T>) -> Option<std::cmp::Ordering> {
        other.0.partial_cmp(&self.0)
    }
}

impl<T: Ord> Ord for Rev<T> {
    fn cmp(&self, other: &Rev<T>) -> std::cmp::Ordering {
        other.0.cmp(&self.0)
    }
}

macro_rules! read {
    (($($t:tt),*)) => {
        ( $(read!($t)),* )
    };
    ([[$t:tt; $len1:expr]; $len2:expr]) => {
        (0..$len2).map(|_| read!([$t; $len1])).collect::<Vec<_>>()
    };

    ([$t:tt; $len:expr]) => {
        (0..$len).map(|_| read!($t)).collect::<Vec<_>>()
    };

    (chars) => {
        read!(String).chars().collect::<Vec<char>>()
    };

    (usize1) => {
        read!(usize) - 1
    };

    ($t:ty) => {{
        let stdin = stdin();
        let stdin = stdin.lock();
        let token: String = stdin
            .bytes()
            .map(|c| c.unwrap() as char)
            .skip_while(|c| c.is_whitespace())
            .take_while(|c| !c.is_whitespace())
            .collect();

        token.parse::<$t>().unwrap()
    }};
}

fn read<T: FromStr>(s: &mut StdinLock) -> T {
    let s: String = s
        .by_ref()
        .bytes()
        .map(|c| c.unwrap() as char)
        .skip_while(|c| c.is_whitespace())
        .take_while(|c| !c.is_whitespace())
        .collect();

    return s.parse::<T>().ok().unwrap();
}

macro_rules! input {
    (mut $name:ident: $t:tt, $($r:tt)*) => {
        let mut $name = read!($t);
        input!($($r)*);
    };

    (mut $name:ident: $t:tt) => {
        let mut $name = read!($t);
    };

    ($name:ident: $t:tt, $($r:tt)*) => {
        let $name = read!($t);
        input!($($r)*);
    };

    ($name:ident: $t:tt) => {
        let $name = read!($t);
    };
}

struct Combination {
    MOD: i64,
    fac: Vec<i64>,
    fac_inv: Vec<i64>,
}

impl Combination {
    pub fn new(n: i64) -> Self {
        let MOD: i64 = 1_000_000_007;
        let mut fac: Vec<i64> = vec![0; n as usize + 1];
        let mut fac_inv: Vec<i64> = vec![0; n as usize + 1];

        let get_inverse = |mut n: i64| -> i64 {
            let (mut res, mut p) = (1, MOD - 2);

            while p != 0 {
                if p & 1 == 1 {
                    res = (res * n) % MOD;
                }
                n = (n * n) % MOD;
                p >>= 1;
            }

            return res;
        };

        fac[0] = 1;

        for i in 1..n + 1 {
            fac[i as usize] = (fac[i as usize - 1] * i) % MOD;
        }

        for i in 0..n + 1 {
            fac_inv[i as usize] = get_inverse(fac[i as usize]);
        }

        Combination {
            MOD: MOD,
            fac: fac,
            fac_inv: fac_inv,
        }
    }

    fn nCr(&self, n: i64, r: i64) -> i64 {
        if n < r {
            return 0;
        }

        let a: i64 = self.fac[n as usize];
        let b: i64 = self.fac_inv[(n - r) as usize];
        let c: i64 = self.fac_inv[r as usize];
        let bc: i64 = (b * c) % self.MOD;

        return (a * bc) % self.MOD;
    }

    fn nPr(&self, n: i64, r: i64) -> i64 {
        if n < r {
            return 0;
        }

        let a: i64 = self.fac[n as usize];
        let b: i64 = self.fac_inv[(n - r) as usize];

        return (a * b) % self.MOD;
    }

    fn nHr(&self, n: i64, r: i64) -> i64 {
        if n == 0 && r == 0 {
            return 1;
        }

        return self.nCr(n + r - 1, r);
    }
}

pub trait SliceExt<T>: Iterator + Sized {
    fn vec(self) -> Vec<Self::Item> {
        self.collect()
    }
}

#[derive(Copy, Clone, Eq, PartialEq)]
struct Edge {
    to: usize,
    cost: i64,
}

fn dijkstra(graph: &Vec<Vec<Edge>>, s: &usize) -> Vec<i64> {
    use std::collections::BinaryHeap;
    let mut dist = vec![1e18 as i64; graph.len()];
    let mut heap = BinaryHeap::new();
    dist[*s] = 0;
    heap.push(Rev((0, *s)));
    while let Some(Rev((cost, v))) = heap.pop() {
        if dist[v] < cost {
            continue;
        }

        for e in &graph[v] {
            if dist[e.to] <= dist[v] + e.cost {
                continue;
            }
            dist[e.to] = dist[v] + e.cost;
            heap.push(Rev((dist[e.to], e.to)));
        }
    }
    return dist;
}

struct LCA {
    par: Vec<Vec<Option<usize>>>,
    dist: Vec<i64>,
}

impl LCA {
    pub fn new(graph: &Vec<Vec<usize>>, root: &usize) -> LCA {
        let V = graph.len();
        let mut K = 1;

        while (1 << K) < V {
            K += 1;
        }

        let mut par = vec![vec![None; V]; K];
        let mut dist = vec![-1; V];
        let graph = graph.to_vec();

        fn dfs(
            v: usize,
            p: Option<usize>,
            d: i64,
            graph: &Vec<Vec<usize>>,
            par: &mut Vec<Vec<Option<usize>>>,
            dist: &mut Vec<i64>,
        ) {
            par[0][v] = p;
            dist[v] = d;
            for &to in &graph[v] {
                match p {
                    Some(p) => {
                        if to != p {
                            dfs(to, Some(v), d + 1, graph, par, dist)
                        }
                    }
                    None => dfs(to, Some(v), d + 1, graph, par, dist),
                }
            }
        }

        dfs(*root, None, 0, &graph, &mut par, &mut dist);

        for k in 0..K - 1 {
            for v in 0..V {
                match par[k][v] {
                    Some(x) => par[k + 1][v] = par[k][x],
                    None => (),
                }
            }
        }

        LCA {
            par: par,
            dist: dist,
        }
    }

    pub fn query(&self, u: usize, v: usize) -> usize {
        let mut u = u;
        let mut v = v;
        if self.dist[u] < self.dist[v] {
            return self.query(v, u);
        }

        let K = self.par.len();
        for k in 0..K {
            if ((self.dist[u] - self.dist[v]) >> k & 1) == 1 {
                u = self.par[k][u].unwrap();
            }
        }

        if u == v {
            return u;
        }

        for k in (0..K - 1).rev() {
            if self.par[k][u] != self.par[k][v] {
                u = self.par[k][u].unwrap();
                v = self.par[k][v].unwrap();
            }
        }

        return self.par[0][u].unwrap();
    }
}

struct Doubling {
    N: usize,
    LOG: usize,
    next: Vec<Vec<Option<usize>>>,
}

impl Doubling {
    pub fn new(vec: &Vec<usize>, lim: &usize) -> Doubling {
        let N = vec.len();
        let lim = *lim;
        let mut LOG = 1;
        while (1 << LOG) < 2 * lim {
            LOG += 1;
        }

        let mut next = vec![vec![None; N]; LOG];

        for i in 0..N {
            next[0][i] = Some(vec[i]);
        }

        for k in 0..LOG - 1 {
            for i in 0..N {
                match next[k][i] {
                    Some(x) => next[k + 1][i] = next[k][x],
                    None => (),
                }
            }
        }

        Doubling {
            N: N,
            LOG: LOG,
            next: next,
        }
    }

    pub fn query(&self, i: usize, n: usize) -> usize {
        let mut i = i;
        for k in (0..self.LOG).rev() {
            if (n >> k) & 1 == 1 {
                i = self.next[k][i].unwrap();
            }
        }
        return i;
    }
}

macro_rules! min {
    ($a:expr $(,)*) => {{
        $a
    }};
    ($a:expr, $b:expr $(,)*) => {{
        std::cmp::min($a, $b)
    }};
    ($a:expr, $($rest:expr),+ $(,)*) => {{
        std::cmp::min($a, min!($($rest),+))
    }};
}

macro_rules! chmin {
    ($base:expr, $($cmps:expr),+ $(,)*) => {{
        let cmp_min = min!($($cmps),+);
        if $base > cmp_min {
            $base = cmp_min;
            true
        } else {
            false
        }
    }};
}

macro_rules! max {
    ($a:expr $(,)*) => {{
        $a
    }};
    ($a:expr, $b:expr $(,)*) => {{
        std::cmp::max($a, $b)
    }};
    ($a:expr, $($rest:expr),+ $(,)*) => {{
        std::cmp::max($a, max!($($rest),+))
    }};
}

macro_rules! chmax {
    ($base:expr, $($cmps:expr),+ $(,)*) => {{
        let cmp_max = max!($($cmps),+);
        if $base < cmp_max {
            $base = cmp_max;
            true
        } else {
            false
        }
    }};
}

trait Semigroup {
    fn op(&self, other: &Self) -> Self;
}

trait Monoid: Semigroup {
    fn identity() -> Self;
}

impl<T: Semigroup + Clone> Semigroup for Option<T> {
    fn op(&self, other: &Self) -> Self {
        match self {
            Some(ref a) => match other {
                Some(ref b) => Some(a.op(b)),
                None => self.clone(),
            },
            None => other.clone(),
        }
    }
}

fn main() {
    input!(h1: i64, m1: i64, h2: i64, m2: i64, k: i64);
    println!("{}", 60 * (h2 - h1) + m2 - m1 - k);
}