Problem:
Score : 500 points

Problem Statement

There is an infinitely long street that runs west to east, which we consider as a number line.

There are N roadworks scheduled on this street.
The i-th roadwork blocks the point at coordinate X_i from time S_i - 0.5 to time T_i - 0.5.

Q people are standing at coordinate 0. The i-th person will start the coordinate 0 at time D_i, continue to walk with speed 1 in the positive direction and stop walking when reaching a blocked point.

Find the distance each of the Q people will walk.

Constraints

All values in input are integers.

1 \leq N, Q \leq 2 \times 10^5

0 \leq S_i < T_i \leq 10^9

1 \leq X_i \leq 10^9

0 \leq D_1 < D_2 < ... < D_Q \leq 10^9

If i \neq j and X_i = X_j, the intervals [S_i, T_i) and [S_j, T_j) do not overlap.

Input

Input is given from Standard Input in the following format:

N Q
S_1 T_1 X_1
:
S_N T_N X_N
D_1
:
D_Q

Output

Print Q lines. The i-th line should contain the distance the i-th person will walk or -1 if that person walks forever.

Sample Input 1

4 6
1 3 2
7 13 10
18 20 13
3 4 2
0
1
2
3
5
8

Sample Output 1

2
2
10
-1
13
-1

The first person starts coordinate 0 at time 0 and stops walking at coordinate 2 when reaching a point blocked by the first roadwork at time 2.

The second person starts coordinate 0 at time 1 and reaches coordinate 2 at time 3. The first roadwork has ended, but the fourth roadwork has begun, so this person also stops walking at coordinate 2.

The fourth and sixth persons encounter no roadworks while walking, so they walk forever. The output for these cases is -1.

Solution in Rust (1.15.1) (judge verdict: Accepted)

use std::fmt;
use std::iter::IntoIterator;
use std::iter::Iterator;

#[allow(dead_code)]
fn read<T: std::str::FromStr>() -> T {
    let mut s = String::new();
    std::io::stdin().read_line(&mut s).ok();
    s.trim().parse().ok().unwrap()
}

#[allow(dead_code)]
fn read_vec<T: std::str::FromStr>() -> Vec<T> {
    let mut s = String::new();
    std::io::stdin().read_line(&mut s).ok();
    s.trim()
        .split_whitespace()
        .map(|e| e.parse().ok().unwrap())
        .collect()
}

type Work = (i32, i32, i32); // S', T', X

fn main() {
    let nq: Vec<usize> = read_vec();
    let n = nq[0];
    let q = nq[1];

    let mut works: Vec<Work> = Vec::with_capacity(n);
    for _i in 0..n {
        let stx: Vec<i32> = read_vec();
        let s = stx[0] - stx[2];
        let t = stx[1] - stx[2];
        let w: Work = (s, t, stx[2]);
        works.push(w);
    }

    //let mut starts = BTreeMap::new();
    // 11 is the same as the order of rust BTreeMap
    let mut starts = BTree::<i32, usize>::new_with(11);
    for i in 0..q {
        let d: i32 = read();
        starts.insert(d, i);
    }

    let result = solve(q, &mut works, &mut starts);
    //result.iter().for_each(|x|println!("{}", x));
    for stop in &result {
        println!("{}", stop);
    }
}

fn solve(q: usize, works: &mut [Work], starts: &mut BTree<i32, usize>) -> Vec<i32> {
    let mut stops: Vec<i32> = vec![-1; q];

    // 1. Sort (NlogN)
    works.sort_by_key(|x| x.2);

    // 2. Find intercepted person (QlogQ)
    let mut intercepted: Vec<i32> = Vec::with_capacity(q);
    for w in works {
        if starts.is_empty() {
            break;
        }

        {
            let it = &mut starts.iter();
            it.move_to(&w.0);
            for d in it {
                if *d.0 >= w.1 {
                    break;
                }
                stops[*d.1] = w.2;
                intercepted.push(*d.0)
            }
        }

        for i in &intercepted {
            starts.remove(i);
        }
        intercepted.clear();
    }

    return stops;
}



struct BTree<K, V>
where
    K: Ord,
    K: fmt::Display,
{
    m: usize,
    root: Node<K, V>,
}

// Separate keys and values.
// In the search, I need to acess only keys.
// Having keys as a dedicated data structure makes
// the search faster.
// More work is required in the insert, but it does not matter
// in a usual case.
struct Node<K, V>
where
    K: Ord,
{
    ks: Vec<K>,
    vs: Vec<V>,
    ns: Vec<Node<K, V>>,
}

struct NodeIter<'a, K: 'a, V: 'a>
where
    K: Ord,
    K: fmt::Display,
{
    node: &'a Node<K, V>,
    pos: usize,
    go_child: bool,
}

struct BTreeIterator<'a, K: 'a, V: 'a>
where
    K: Ord,
    K: fmt::Display,
{
    stack: Vec<NodeIter<'a, K, V>>,
    curr: NodeIter<'a, K, V>,
}

impl<K, V> BTree<K, V>
where
    K: Ord,
    K: fmt::Display,
{
    fn new() -> BTree<K, V> {
        BTree::<K, V>::new_with(3)
    }

    fn new_with(order: usize) -> BTree<K, V> {
        BTree::<K, V> {
            m: order,
            root: Node::<K, V>::new(order),
        }
    }

    fn is_empty(&self) -> bool {
        self.root.is_empty()
    }

    fn iter_from(&self, x: &K) -> BTreeIterator<K, V> {
        let mut it = self.iter();

        loop {
            let pos = it.curr.node.find_pos(x);
            if pos.1 {
                it.curr.pos = pos.0;
                it.curr.go_child = false;
            }

            if it.curr.node.is_leaf() {}
        }
    }

    fn iter(&self) -> BTreeIterator<K, V> {
        BTreeIterator {
            stack: Vec::new(),
            curr: NodeIter {
                node: &self.root,
                pos: 0,
                go_child: true,
            },
        }
    }

    fn insert(&mut self, x: K, v: V) {
        let need_split = self.root.insert(x, v, self.m);
        if need_split {
            let mut tmp = Node::new(self.m);
            std::mem::swap(&mut tmp, &mut self.root);

            let split = tmp.split(self.m);

            self.root.ks.push(split.0);
            self.root.vs.push(split.1);
            self.root.ns.push(tmp);
            self.root.ns.push(split.2);
        }
    }

    fn remove(&mut self, x: &K) -> Option<V> {
        let result = self.root.remove(x, self.m);
        if self.root.is_empty() && !self.root.ns.is_empty() {
            let newRoot = self.root.ns.pop().unwrap();
            self.root = newRoot;
        }
        return result.0;
    }

    fn find(&self, x: &K) -> Option<&V> {
        return self.root.find(x);
    }

    fn print(&self) {
        println!("{}", self.root);

        let mut next = Vec::<&Node<K, V>>::with_capacity(10);
        for n in &self.root.ns {
            next.push(n);
        }

        loop {
            if next.len() == 0 {
                break;
            }

            for n in &next {
                print!("{} ", n);
            }
            println!();

            let mut tmp = Vec::<&Node<K, V>>::with_capacity(10);
            for n in &next {
                for c in &n.ns {
                    tmp.push(c);
                }
            }

            std::mem::swap(&mut tmp, &mut next);
        }

        println!();
    }
}

impl<'a, K, V> IntoIterator for &'a BTree<K, V>
where
    K: Ord,
    K: fmt::Display,
{
    type Item = (&'a K, &'a V);
    type IntoIter = BTreeIterator<'a, K, V>;

    fn into_iter(self) -> Self::IntoIter {
        self.iter()
    }
}

const CHECK_RIGHT_MOST_THRESHOLD : usize = 7;
const USE_LINEAR_THRESHOLD : usize = 7;

impl<K, V> Node<K, V>
where
    K: Ord,
    K: fmt::Display,
{
    fn new(m: usize) -> Node<K, V> {
        Node::<K, V> {
            ks: Vec::<K>::with_capacity(m - 1),
            vs: Vec::<V>::with_capacity(m - 1),
            ns: Vec::<Node<K, V>>::with_capacity(m),
        }
    }

    fn is_leaf(&self) -> bool {
        self.ns.is_empty()
    }

    fn is_empty(&self) -> bool {
        self.ks.is_empty()
    }

    fn insert(&mut self, x: K, v: V, m: usize) -> bool {
        let pos = self.find_pos(&x);
        if self.is_leaf() {
            if pos.1 {
                // overwrite
                self.ks[pos.0] = x;
                self.vs[pos.0] = v;
                return false;
            }
            // insert
            self.ks.insert(pos.0, x);
            self.vs.insert(pos.0, v);
            return self.ks.len() == m;
        }

        let need_split = self.ns[pos.0].insert(x, v, m);
        if need_split {
            self.split_child(pos.0, m);
            return self.ks.len() == m;
        }

        return false;
    }

    fn remove(&mut self, x: &K, m: usize) -> (Option<V>, bool) {
        let pos = self.find_pos(&x);
        if self.is_leaf() {
            // 1. Leaf
            if !pos.1 {
                // Not found
                return (None, false);
            }
            self.ks.remove(pos.0);
            let removed = self.vs.remove(pos.0);
            return (Some(removed), self.ks.len() == 0);
        }

        // 2. Non-leaf
        if pos.1 {
            // 2.1. Remove from this node
            let rm = self.ns[pos.0].remove_right_most(m);

            self.ks.remove(pos.0);
            let v = self.vs.remove(pos.0);

            self.ks.insert(pos.0, rm.0);
            self.vs.insert(pos.0, rm.1);

            if rm.2 {
                self.borrow_or_merge_from_right(pos.0, m);
            }
            return (Some(v), self.ks.len() < m / 2);
        }

        // 2.2. Remove from child
        let result = self.ns[pos.0].remove(x, m);
        if result.1 {
            if pos.0 == self.ks.len() {
                self.borrow_or_merge_from_left(pos.0, m);
            } else {
                self.borrow_or_merge_from_right(pos.0, m);
            }
            return (result.0, self.ks.len() < m / 2);
        }
        return result;
    }

    fn find(&self, x: &K) -> Option<&V> {
        let pos = self.find_pos(x);
        if pos.1 {
            return Some(&self.vs[pos.0]);
        }

        if self.ns.len() == 0 {
            return None;
        }

        return self.ns[pos.0].find(x);
    }

    fn split_child(&mut self, pos: usize, m: usize) {
        let result = self.ns[pos].split(m);
        self.ks.insert(pos, result.0);
        self.vs.insert(pos, result.1);
        self.ns.insert(pos + 1, result.2);
    }

    // Split self into two nodes (self and right).
    fn split(&mut self, m: usize) -> (K, V, Node<K, V>) {
        let mut right = Node::new(m);

        let mid = m / 2;

        right.ks = self.ks.split_off(mid + 1);
        right.vs = self.vs.split_off(mid + 1);

        let midE = self.ks.pop().unwrap();
        let midV = self.vs.pop().unwrap();

        if self.ns.len() > 0 {
            right.ns = self.ns.split_off(mid + 1);
        }
        return (midE, midV, right);
    }

    // For small m (around 11), linear search is better than 
    // binary search. But the plain linear search is too inefficient.
    // I check the value of the right end and mid. This makes
    // the performance much better (40% - 50% faster).
    fn find_pos(&self, x: &K) -> (usize, bool) {
        let len = self.ks.len();

        if len > CHECK_RIGHT_MOST_THRESHOLD && self.ks[len - 1] < *x {
            return (len, false);
        }

        if len < USE_LINEAR_THRESHOLD {
            return self.linear_search(x, 0, len);
        }

        let mid = self.ks.len() / 2;
        if self.ks[mid] < *x {
            return self.linear_search(x, mid + 1, len);
        } 
        if self.ks[mid] == *x {
            return (mid, true);
        }
        return self.linear_search_reverse(x, 0, mid);
    }

    fn linear_search(&self, x: &K, start: usize, end: usize) -> (usize, bool) {
        for i in start..end {
            if self.ks[i] < *x {
                continue;
            }
            if self.ks[i] == *x {
                return (i, true);
            }
            return (i, false);
        }
        return (end, false);
    }

    fn linear_search_reverse(&self, x: &K, start: usize, end: usize) -> (usize, bool) {
        for i in (start..end).rev() {
            if self.ks[i] < *x {
                return (i + 1, false);
            }
            if self.ks[i] == *x {
                return (i, true);
            }
        }
        return (0, false);
    }

    fn remove_right_most(&mut self, m: usize) -> (K, V, bool) {
        if self.is_leaf() {
            // 1. Leaf
            let last = self.ks.len() - 1;
            let k = self.ks.remove(last);
            let v = self.vs.remove(last);
            return (k, v, self.is_empty());
        }
        // 2. Node (remove from child)
        let last = self.ns.len() - 1;
        // self.ns.last() gets & reference. So it does not work.
        //let child = &mut self.ns[last];
        //let result = child.remove_right_most(m);
        let result = self.ns[last].remove_right_most(m);
        if result.2 {
            self.borrow_or_merge_from_left(last, m);
        }
        return (result.0, result.1, self.ks.len() < m / 2);
    }

    fn can_borrow(&self, m: usize) -> bool {
        if self.is_leaf() {
            return self.ks.len() > 1;
        }
        return self.ks.len() > m / 2;
    }

    fn borrow_left_most(&mut self) -> (K, V, Option<Node<K, V>>) {
        let k = self.ks.remove(0);
        let v = self.vs.remove(0);
        if self.is_leaf() {
            return (k, v, None);
        }
        let n = self.ns.remove(0);
        return (k, v, Some(n));
    }

    fn borrow_right_most(&mut self) -> (K, V, Option<Node<K, V>>) {
        let k = self.ks.pop().unwrap();
        let v = self.vs.pop().unwrap();
        if self.is_leaf() {
            return (k, v, None);
        }
        let n = self.ns.pop();
        return (k, v, n);
    }

    // ns[pos] <- ns[pos+1] or merge ns[pos] and ns[pos+1
    fn borrow_or_merge_from_right(&mut self, pos: usize, m: usize) {
        if self.ns[pos + 1].can_borrow(m) {
            // 1. borrow
            // remove(pos) and insert(ns) is inefficient, but
            // I need to do that. Otherwise, I have to move ks[pos]
            // and vs[pos] but Rust does not allow that.
            let pivot = (self.ks.remove(pos), self.vs.remove(pos));
            self.ns[pos].ks.push(pivot.0);
            self.ns[pos].vs.push(pivot.1);

            let borrowed = self.ns[pos + 1].borrow_left_most();

            self.ks.insert(pos, borrowed.0);
            self.vs.insert(pos, borrowed.1);

            if let Some(n) = borrowed.2 {
                self.ns[pos].ns.push(n);
            }
        } else {
            // 2. merge
            let pivot = (self.ks.remove(pos), self.vs.remove(pos));
            self.ns[pos].ks.push(pivot.0);
            self.ns[pos].vs.push(pivot.1);

            let mut removed = self.ns.remove(pos + 1);
            self.ns[pos].ks.append(&mut removed.ks);
            self.ns[pos].vs.append(&mut removed.vs);

            if !self.ns[pos].is_leaf() {
                self.ns[pos].ns.append(&mut removed.ns);
            }
        }
    }

    // ns[pos-1] -> ns[pos] or merge ns[pos-1] and ns[pos]
    fn borrow_or_merge_from_left(&mut self, pos: usize, m: usize) {
        if self.ns[pos - 1].can_borrow(m) {
            // 1. borrow
            let pivot = (self.ks.remove(pos - 1), self.vs.remove(pos - 1));
            self.ns[pos].ks.insert(0, pivot.0);
            self.ns[pos].vs.insert(0, pivot.1);

            let borrowed = self.ns[pos - 1].borrow_right_most();
            self.ks.insert(pos - 1, borrowed.0);
            self.vs.insert(pos - 1, borrowed.1);

            if let Some(n) = borrowed.2 {
                self.ns[pos].ns.insert(0, n);
            }
        } else {
            // 2. merge
            let pivot = (self.ks.remove(pos - 1), self.vs.remove(pos - 1));
            self.ns[pos - 1].ks.push(pivot.0);
            self.ns[pos - 1].vs.push(pivot.1);

            let mut removed = self.ns.remove(pos);
            self.ns[pos - 1].ks.append(&mut removed.ks);
            self.ns[pos - 1].vs.append(&mut removed.vs);

            if !self.ns[pos - 1].is_leaf() {
                self.ns[pos - 1].ns.append(&mut removed.ns);
            }
        }
    }
}

impl<K, V> fmt::Display for Node<K, V>
where
    K: Ord,
    K: fmt::Display,
{
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        write!(f, "[");
        if self.ks.len() > 0 {
            write!(f, "{}", self.ks[0]);
            for i in 1..self.ks.len() {
                write!(f, ",{}", self.ks[i]);
            }
        }
        write!(f, "]");
        Ok(())
    }
}

impl<'a, K, V> BTreeIterator<'a, K, V>
where
    K: Ord,
    K: fmt::Display,
{
    fn move_to(&mut self, x: &K) {
        loop {
            let pos = self.curr.node.find_pos(x);
            self.curr.pos = pos.0;
            if pos.1 {
                self.curr.go_child = false;
                return;
            }

            if self.curr.node.is_leaf() {
                return;
            }

            self.curr.go_child = false;
            let child = &self.curr.node.ns[pos.0];
            let mut tmp = NodeIter {
                node: child,
                pos: 0,
                go_child: false,
            };
            std::mem::swap(&mut tmp, &mut self.curr);
            self.stack.push(tmp);
        }
    }
}

impl<'a, K, V> Iterator for BTreeIterator<'a, K, V>
where
    K: Ord,
    K: fmt::Display,
{
    type Item = (&'a K, &'a V);

    fn next(&mut self) -> Option<Self::Item> {
        loop {
            if self.curr.node.is_leaf() {
                if self.curr.pos < self.curr.node.ks.len() {
                    // Get the right neighbor
                    let key = &self.curr.node.ks[self.curr.pos];
                    let val = &self.curr.node.vs[self.curr.pos];
                    self.curr.pos += 1;
                    return Some((key, val));
                } else {
                    match self.stack.pop() {
                        Some(x) => {
                            self.curr = x;
                            continue;
                        }
                        None => {
                            return None;
                        }
                    }
                }
            } else {
                if self.curr.go_child {
                    loop {
                        self.curr.go_child = false;
                        let child = &self.curr.node.ns[self.curr.pos];
                        let mut tmp = NodeIter {
                            node: child,
                            pos: 0,
                            go_child: false,
                        };

                        std::mem::swap(&mut tmp, &mut self.curr);
                        self.stack.push(tmp);

                        if child.is_leaf() {
                            break;
                        }
                    }
                    continue;
                } else {
                    if self.curr.pos < self.curr.node.ks.len() {
                        // Get the right neighbor
                        let key = &self.curr.node.ks[self.curr.pos];
                        let val = &self.curr.node.vs[self.curr.pos];
                        self.curr.pos += 1;
                        self.curr.go_child = true;
                        return Some((key, val));
                    } else {
                        match self.stack.pop() {
                            Some(x) => {
                                self.curr = x;
                                continue;
                            }
                            None => {
                                return None;
                            }
                        }
                    }
                }
            }
        }
    }
}