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 (Python):

def main():

    """ convenient functions
    
    
    
    
    """

    import sys
    sys.setrecursionlimit(10**7)
    from itertools import accumulate, combinations, permutations, product 
    
    from math import factorial, ceil, floor
    def factorize(n):
        """return the factors of the Arg and count of each factor
        
        Args:
            n (long): number to be resolved into factors
        
        Returns:
            list of tuples: factorize(220) returns [(2, 2), (5, 1), (11, 1)]
        """
        fct = []  
        b, e = 2, 0  
        while b * b <= n:
            while n % b == 0:
                n = n // b
                e = e + 1
            if e > 0:
                fct.append((b, e))
            b, e = b + 1, 0
        if n > 1:
            fct.append((n, 1))
        return fct
    def combinations_count(n, r):
        """Return the number of selecting r pieces of items from n kinds of items.
        
        Args:
            n (long): number
            r (long): number
        
        Raises:
            Exception: not defined when n or r is negative
        
        Returns:
            long: number
        """
        
        if n < 0 or r < 0:
            raise Exception('combinations_count(n, r) not defined when n or r is negative')
        if n - r < r: r = n - r
        if r < 0: return 0
        if r == 0: return 1
        if r == 1: return n
        numerator = [n - r + k + 1 for k in range(r)]
        denominator = [k + 1 for k in range(r)]
        for p in range(2,r+1):
            pivot = denominator[p - 1]
            if pivot > 1:
                offset = (n - r) % p
                for k in range(p-1,r,p):
                    numerator[k - offset] /= pivot
                    denominator[k] /= pivot
        result = 1
        for k in range(r):
            if numerator[k] > 1:
                result *= int(numerator[k])
        return result
    def combinations_with_replacement_count(n, r):
        """Return the number of selecting r pieces of items from n kinds of items allowing individual elements to be repeated more than once.
        
        Args:
            n (long): number
            r (long): number
        
        Raises:
            Exception: not defined when n or r is negative
        
        Returns:
            long: number
        """
        if n < 0 or r < 0:
            raise Exception('combinations_with_replacement_count(n, r) not defined when n or r is negative')
        elif n == 0:
            return 1
        else:
            return combinations_count(n + r - 1, r)
    from bisect import bisect_left, bisect_right
    from collections import deque, Counter, defaultdict 
    from heapq import heapify, heappop, heappush, heappushpop, heapreplace,nlargest,nsmallest 
    from copy import deepcopy, copy 
    from operator import itemgetter
    
    
    from functools import reduce
    def chmin(x, y):
        """change minimum
        if x > y, x = y and return (x, True).
        convenient when solving problems of dp[i]
        
        Args:
            x (long): current minimum value
            y (long): potential minimum value
        
        Returns:
            (x, bool): (x, True) when updated, else (x, False)
        """
        if x > y:
            x = y
            return (x, True)
        else:
            return (x, False)
    def chmax(x, y):
        """change maximum
        if x < y, x = y and return (x, True).
        convenient when solving problems of dp[i]
        
        Args:
            x (long): current maximum value
            y (long): potential maximum value
        
        Returns:
            (x, bool): (x, True) when updated, else (x, False)
        """
        if x < y:
            x = y
            return (x, True)
        else:
            return (x, False)

    from fractions import gcd 
    def gcds(numbers):
        return reduce(gcd, numbers)
    def lcm(x, y):
        return (x * y) // gcd(x, y)
    def lcms(numbers):
        return reduce(lcm, numbers, 1)

    
    
    INF = 10 ** 18
    MOD = 10 ** 9 + 7
    modpow = lambda a, n, p = MOD: pow(a, n, p) 
    def modinv(a, p = MOD):
        
        
        return modpow(a, p-2, p)
    def modinv_list(n, p = MOD):
        if n <= 1:
            return [0,1][:n+1]
        else:
            inv_t = [0,1]
            for i in range(2, n+1):
                inv_t += [inv_t[p % i] * (p - int(p / i)) % p]
            return inv_t
    def modfactorial_list(n, p = MOD):
        if n == 0:
            return [1]
        else:
            l = [0] * (n+1)
            tmp = 1
            for i in range(1, n+1):
                tmp = tmp * i % p
                l[i] = tmp
            return l
    def modcomb(n, k, fac_list = [], p = MOD):
        
        
        from math import factorial
        if n < 0 or k < 0 or n < k: return 0
        if n == 0 or k == 0: return 1
        if len(fac_list) <= n:
            a = factorial(n) % p
            b = factorial(k) % p
            c = factorial(n-k) % p
        else:
            a = fac_list[n]
            b = fac_list[k]
            c = fac_list[n-k]
        return (a * modpow(b, p-2, p) * modpow(c, p-2, p)) % p
    def modadd(a, b, p = MOD):
        return (a + b) % MOD
    def modsub(a, b, p = MOD):
        return (a - b) % p
    def modmul(a, b, p = MOD):
        return ((a % p) * (b % p)) % p
    def moddiv(a, b, p = MOD):
        return modmul(a, modpow(b, p-2, p))

    """ initialize variables and set inputs
    
        
        
    
        
        
        
        
        
    
        
        
        
        
    
        
        
    """

    
    r = lambda: sys.stdin.readline().strip()
    r_int = lambda: int(r())
    R = lambda: list(map(int, r().split()))
    Rfloat = lambda: list(map(float, r().split()))
    Rtuple = lambda: tuple(map(int, r().split()))
    Rmap = lambda: map(int, r().split())

    """ how to treat input
    
    
    
    
    
    
    
    """

    
    N, Q = R()
    STX = [R() for _ in range(N)]
    STX.sort(key=itemgetter(2))

    D = [int(r()) for _ in range(Q)]
    Stopped = [-1] * Q
    ans = [-1] * Q

    for s, t, x in STX:
        l = bisect_left(D, s-x)
        r = bisect_left(D,t-x)
        a = l
        while a < r:
            if Stopped[a] == -1:
                ans[a] = x
                Stopped[a] = r
                a += 1
            else:
                a = Stopped[a]

    for i in ans:
        print(i)

    """memo: how to use defaultdict of list
    
    Dic = defaultdict(list)
    
    Dic[x].append(y)
    
    for k, v in Dic.items():
    """

if __name__ == '__main__':
    main()

Solution (Python):



""" convenient functions




"""

import sys
sys.setrecursionlimit(10**7)
from itertools import accumulate, combinations, permutations, product 

from math import factorial, ceil, floor
def factorize(n):
    """return the factors of the Arg and count of each factor
    
    Args:
        n (long): number to be resolved into factors
    
    Returns:
        list of tuples: factorize(220) returns [(2, 2), (5, 1), (11, 1)]
    """
    fct = []  
    b, e = 2, 0  
    while b * b <= n:
        while n % b == 0:
            n = n // b
            e = e + 1
        if e > 0:
            fct.append((b, e))
        b, e = b + 1, 0
    if n > 1:
        fct.append((n, 1))
    return fct
def combinations_count(n, r):
    """Return the number of selecting r pieces of items from n kinds of items.
    
    Args:
        n (long): number
        r (long): number
    
    Raises:
        Exception: not defined when n or r is negative
    
    Returns:
        long: number
    """
    
    if n < 0 or r < 0:
        raise Exception('combinations_count(n, r) not defined when n or r is negative')
    if n - r < r: r = n - r
    if r < 0: return 0
    if r == 0: return 1
    if r == 1: return n
    numerator = [n - r + k + 1 for k in range(r)]
    denominator = [k + 1 for k in range(r)]
    for p in range(2,r+1):
        pivot = denominator[p - 1]
        if pivot > 1:
            offset = (n - r) % p
            for k in range(p-1,r,p):
                numerator[k - offset] /= pivot
                denominator[k] /= pivot
    result = 1
    for k in range(r):
        if numerator[k] > 1:
            result *= int(numerator[k])
    return result
def combinations_with_replacement_count(n, r):
    """Return the number of selecting r pieces of items from n kinds of items allowing individual elements to be repeated more than once.
    
    Args:
        n (long): number
        r (long): number
    
    Raises:
        Exception: not defined when n or r is negative
    
    Returns:
        long: number
    """
    if n < 0 or r < 0:
        raise Exception('combinations_with_replacement_count(n, r) not defined when n or r is negative')
    elif n == 0:
        return 1
    else:
        return combinations_count(n + r - 1, r)
from bisect import bisect_left, bisect_right
from collections import deque, Counter, defaultdict 
from heapq import heapify, heappop, heappush, heappushpop, heapreplace,nlargest,nsmallest 
from copy import deepcopy, copy 
from operator import itemgetter


from functools import reduce
def chmin(x, y):
    """change minimum
    if x > y, x = y and return (x, True).
    convenient when solving problems of dp[i]
    
    Args:
        x (long): current minimum value
        y (long): potential minimum value
    
    Returns:
        (x, bool): (x, True) when updated, else (x, False)
    """
    if x > y:
        x = y
        return (x, True)
    else:
        return (x, False)
def chmax(x, y):
    """change maximum
    if x < y, x = y and return (x, True).
    convenient when solving problems of dp[i]
    
    Args:
        x (long): current maximum value
        y (long): potential maximum value
    
    Returns:
        (x, bool): (x, True) when updated, else (x, False)
    """
    if x < y:
        x = y
        return (x, True)
    else:
        return (x, False)

from fractions import gcd 
def gcds(numbers):
    return reduce(gcd, numbers)
def lcm(x, y):
    return (x * y) // gcd(x, y)
def lcms(numbers):
    return reduce(lcm, numbers, 1)



INF = 10 ** 18
MOD = 10 ** 9 + 7
modpow = lambda a, n, p = MOD: pow(a, n, p) 
def modinv(a, p = MOD):
    
    
    return modpow(a, p-2, p)
def modinv_list(n, p = MOD):
    if n <= 1:
        return [0,1][:n+1]
    else:
        inv_t = [0,1]
        for i in range(2, n+1):
            inv_t += [inv_t[p % i] * (p - int(p / i)) % p]
        return inv_t
def modfactorial_list(n, p = MOD):
    if n == 0:
        return [1]
    else:
        l = [0] * (n+1)
        tmp = 1
        for i in range(1, n+1):
            tmp = tmp * i % p
            l[i] = tmp
        return l
def modcomb(n, k, fac_list = [], p = MOD):
    
    
    from math import factorial
    if n < 0 or k < 0 or n < k: return 0
    if n == 0 or k == 0: return 1
    if len(fac_list) <= n:
        a = factorial(n) % p
        b = factorial(k) % p
        c = factorial(n-k) % p
    else:
        a = fac_list[n]
        b = fac_list[k]
        c = fac_list[n-k]
    return (a * modpow(b, p-2, p) * modpow(c, p-2, p)) % p
def modadd(a, b, p = MOD):
    return (a + b) % MOD
def modsub(a, b, p = MOD):
    return (a - b) % p
def modmul(a, b, p = MOD):
    return ((a % p) * (b % p)) % p
def moddiv(a, b, p = MOD):
    return modmul(a, modpow(b, p-2, p))

""" initialize variables and set inputs

    
    

    
    
    
    
    

    
    
    
    

    
    
"""


r = lambda: sys.stdin.readline().strip()
r_int = lambda: int(r())
R = lambda: list(map(int, r().split()))
Rfloat = lambda: list(map(float, r().split()))
Rtuple = lambda: tuple(map(int, r().split()))
Rmap = lambda: map(int, r().split())

""" how to treat input







"""


N, Q = R()
STX = [R() for _ in range(N)]
STX.sort(key=itemgetter(2))

D = [int(r()) for _ in range(Q)]
Stopped = [-1] * Q
ans = [-1] * Q

for s, t, x in STX:
    l = bisect_left(D, s-x)
    r = bisect_left(D,t-x)
    a = l
    while a < r:
        if Stopped[a] == -1:
            ans[a] = x
            Stopped[a] = r
            a += 1
        else:
            a = Stopped[a]

for i in ans:
    print(i)

"""memo: how to use defaultdict of list

Dic = defaultdict(list)

Dic[x].append(y)

for k, v in Dic.items():
"""

Solution (Python):



""" convenient functions




"""

import sys
sys.setrecursionlimit(10**7)
from itertools import accumulate, combinations, permutations, product 

from math import factorial, ceil, floor
def factorize(n):
    """return the factors of the Arg and count of each factor
    
    Args:
        n (long): number to be resolved into factors
    
    Returns:
        list of tuples: factorize(220) returns [(2, 2), (5, 1), (11, 1)]
    """
    fct = []  
    b, e = 2, 0  
    while b * b <= n:
        while n % b == 0:
            n = n // b
            e = e + 1
        if e > 0:
            fct.append((b, e))
        b, e = b + 1, 0
    if n > 1:
        fct.append((n, 1))
    return fct
def combinations_count(n, r):
    """Return the number of selecting r pieces of items from n kinds of items.
    
    Args:
        n (long): number
        r (long): number
    
    Raises:
        Exception: not defined when n or r is negative
    
    Returns:
        long: number
    """
    
    if n < 0 or r < 0:
        raise Exception('combinations_count(n, r) not defined when n or r is negative')
    if n - r < r: r = n - r
    if r < 0: return 0
    if r == 0: return 1
    if r == 1: return n
    numerator = [n - r + k + 1 for k in range(r)]
    denominator = [k + 1 for k in range(r)]
    for p in range(2,r+1):
        pivot = denominator[p - 1]
        if pivot > 1:
            offset = (n - r) % p
            for k in range(p-1,r,p):
                numerator[k - offset] /= pivot
                denominator[k] /= pivot
    result = 1
    for k in range(r):
        if numerator[k] > 1:
            result *= int(numerator[k])
    return result
def combinations_with_replacement_count(n, r):
    """Return the number of selecting r pieces of items from n kinds of items allowing individual elements to be repeated more than once.
    
    Args:
        n (long): number
        r (long): number
    
    Raises:
        Exception: not defined when n or r is negative
    
    Returns:
        long: number
    """
    if n < 0 or r < 0:
        raise Exception('combinations_with_replacement_count(n, r) not defined when n or r is negative')
    elif n == 0:
        return 1
    else:
        return combinations_count(n + r - 1, r)
from bisect import bisect_left, bisect_right
from collections import deque, Counter, defaultdict 
from heapq import heapify, heappop, heappush, heappushpop, heapreplace,nlargest,nsmallest 
from copy import deepcopy, copy 
from operator import itemgetter


from functools import reduce
def chmin(x, y):
    """change minimum
    if x > y, x = y and return (x, True).
    convenient when solving problems of dp[i]
    
    Args:
        x (long): current minimum value
        y (long): potential minimum value
    
    Returns:
        (x, bool): (x, True) when updated, else (x, False)
    """
    if x > y:
        x = y
        return (x, True)
    else:
        return (x, False)
def chmax(x, y):
    """change maximum
    if x < y, x = y and return (x, True).
    convenient when solving problems of dp[i]
    
    Args:
        x (long): current maximum value
        y (long): potential maximum value
    
    Returns:
        (x, bool): (x, True) when updated, else (x, False)
    """
    if x < y:
        x = y
        return (x, True)
    else:
        return (x, False)

from fractions import gcd 
def gcds(numbers):
    return reduce(gcd, numbers)
def lcm(x, y):
    return (x * y) // gcd(x, y)
def lcms(numbers):
    return reduce(lcm, numbers, 1)



INF = 10 ** 18
MOD = 10 ** 9 + 7
modpow = lambda a, n, p = MOD: pow(a, n, p) 
def modinv(a, p = MOD):
    
    
    return modpow(a, p-2, p)
def modinv_list(n, p = MOD):
    if n <= 1:
        return [0,1][:n+1]
    else:
        inv_t = [0,1]
        for i in range(2, n+1):
            inv_t += [inv_t[p % i] * (p - int(p / i)) % p]
        return inv_t
def modfactorial_list(n, p = MOD):
    if n == 0:
        return [1]
    else:
        l = [0] * (n+1)
        tmp = 1
        for i in range(1, n+1):
            tmp = tmp * i % p
            l[i] = tmp
        return l
def modcomb(n, k, fac_list = [], p = MOD):
    
    
    from math import factorial
    if n < 0 or k < 0 or n < k: return 0
    if n == 0 or k == 0: return 1
    if len(fac_list) <= n:
        a = factorial(n) % p
        b = factorial(k) % p
        c = factorial(n-k) % p
    else:
        a = fac_list[n]
        b = fac_list[k]
        c = fac_list[n-k]
    return (a * modpow(b, p-2, p) * modpow(c, p-2, p)) % p
def modadd(a, b, p = MOD):
    return (a + b) % MOD
def modsub(a, b, p = MOD):
    return (a - b) % p
def modmul(a, b, p = MOD):
    return ((a % p) * (b % p)) % p
def moddiv(a, b, p = MOD):
    return modmul(a, modpow(b, p-2, p))

""" initialize variables and set inputs

    
    

    
    
    
    
    

    
    
    
    

    
    
"""


r = lambda: sys.stdin.readline().strip()
r_int = lambda: int(r())
R = lambda: list(map(int, r().split()))
Rfloat = lambda: list(map(float, r().split()))
Rtuple = lambda: tuple(map(int, r().split()))
Rmap = lambda: map(int, r().split())

""" how to treat input







"""





N, Q = R()
STX = [R() for _ in range(N)]
STX.sort(key=itemgetter(2))

D = [int(r()) for _ in range(Q)]
Stopped = [-1] * Q
ans = [-1] * Q

for s, t, x in STX:
    l = bisect_left(D, s-x)
    r = bisect_left(D,t-x)
    a = l
    while a < r:
        if Stopped[a] == -1:
            ans[a] = x
            Stopped[a] = r
            a += 1
        else:
            a = Stopped[a]

for i in ans:
    print(i)

"""memo: how to use defaultdict of list

Dic = defaultdict(list)

Dic[x].append(y)

for k, v in Dic.items():
"""

Solution (Python):

from bisect import bisect, bisect_left
from collections import Counter
from functools import reduce
from itertools import accumulate
from operator import itemgetter, xor

import sys
input = sys.stdin.readline

def inpl(): return list(map(int, input().split()))

class BIT:
    def __init__(self, N):
        
        self.size = 2 ** (int.bit_length(N+1))
        self.node = [0]*(self.size + 1)
 
    def initialize(self, S):
        
        
        if len(S) < self.size + 1:
            S += [S[-1]] * (self.size+1 - len(S))
        for i in range(1, self.size+1):
            self.node[i] = S[i] - S[i - (i&-i)]
 
    def sum(self, i):
        res = 0
        while i:
            res += self.node[i]
            i -= (i & -(i))
        return res
 
    def add(self, i, x):
        if i == 0:
            return
        while i <= self.size:
            self.node[i] += x
            i += (i & -(i))
 
    def bisect_left(self, x):
        res = 0
        tmp = 0
        b = 2**(int.bit_length(self.size)-2)
        while b:
            if tmp + self.node[res+b] < x:
                res += b
                tmp += self.node[res]
            b //= 2
        return res + 1
 
    def bisect(self, x):
        res = 0
        tmp = 0
        b = 2**(int.bit_length(self.size)-2)
        while b:
            if tmp + self.node[res+b] <= x:
                res += b
                tmp += self.node[res]
            b //= 2
        return res + 1

class DammySet:

    def __init__(self, counter, INF=2**32, counter_is_unique_and_sorted=True):
        if not counter_is_unique_and_sorted:
            if type(counter) != Counter:
                counter = Counter(counter)

            self.bit = BIT(len(counter.keys())+3)
            self.key = sorted([-INF, -INF] + sorted(counter.keys()) + [INF])
            self.val = [counter[k] for k in self.key]
            S = list(accumulate(self.val))
            self.bit.initialize(S)

        else:
            self.bit = BIT(len(counter) + 3)
            self.key = [-INF] * (len(counter) + 3)
            self.val = [0] * (len(counter) + 3)
            S = [0] * (len(counter) + 3)
            for i in range(2, len(counter)+2):
                self.key[i] = counter[i-2]
                self.val[i] = 1
                S[i] = i-1
            self.key[-1] = INF
            S[-1] = len(counter)
            self.bit.initialize(S)

    def add(self, val):
        ix = bisect_left(self.key, val)
        assert self.key[ix] == val
        self.bit.add(ix, 1)


    def update(self, vals):
        for k, v in Counter(vals).items():
            ix = bisect_left(self.key, k)
            if self.key[ix] != k:
                raise KeyError
            self.bit.add(ix, v)


    def remove(self, vals):
        for k, v in Counter(vals).items():
            ix = bisect_left(self.key, k)
            if self.key[ix] != k:
                raise KeyError
            
            
            
            assert self.bit.sum(ix) - self.bit.sum(ix-1) > 0

            self.bit.add(ix, -v)


    def pop_vals(self, l, r):
        assert l <= r

        rix = bisect(self.key, r) - 1
        lix = bisect_left(self.key, l) - 1
        
        rv = self.bit.sum(rix)
        lv = self.bit.sum(lix)
        delta = rv - lv
        tv = lv+1
        tix = lix*1

        vix = 0
        rmvix = 0
        vals = [0]*delta
        rmvk = [0]*delta
        rmvv = [0]*delta
        while delta:
            OK = self.bit.bisect_left(tv)
            c = self.bit.sum(OK)
            d = c - tv + 1
            for _ in range(d):
                vals[vix] = self.key[OK]
                vix += 1
            rmvk[rmvix] = OK
            rmvv[rmvix] = d
            rmvix += 1
            tv += d
            tix = OK
            delta -= d

        for i in range(rmvix):
            self.bit.add(rmvk[i], -rmvv[i])
        return vals

N, M = inpl()
Q = sorted([inpl() for _ in range(N)], key=itemgetter(2))
D = [int(input()) for _ in range(M)]
rD = {v:i for i, v in enumerate(D)}
ans = [-1]*(M)
 
dmap = DammySet(D)
 
for s, t, x in Q:
    val = dmap.pop_vals(s-x, t-1-x)
    for v in val:
        ans[rD[v]] = x
 
print(*ans, sep="\n")

Solution (Python):

from bisect import bisect, bisect_left
from collections import Counter
from functools import reduce
from itertools import accumulate
from operator import itemgetter, xor

import sys
input = sys.stdin.readline

def inpl(): return list(map(int, input().split()))

class BIT:
    def __init__(self, N):
        
        self.size = 2 ** (int.bit_length(N+1))
        self.node = [0]*(self.size + 1)
 
    def initialize(self, S):
        
        
        if len(S) < self.size + 1:
            S += [S[-1]] * (self.size+1 - len(S))
        for i in range(1, self.size+1):
            self.node[i] = S[i] - S[i - (i&-i)]
 
    def sum(self, i):
        res = 0
        while i:
            res += self.node[i]
            i -= (i & -(i))
        return res
 
    def add(self, i, x):
        if i == 0:
            return
        while i <= self.size:
            self.node[i] += x
            i += (i & -(i))
 
    def bisect_left(self, x):
        res = 0
        tmp = 0
        b = 2**(int.bit_length(self.size)-2)
        while b:
            if tmp + self.node[res+b] < x:
                res += b
                tmp += self.node[res]
            b //= 2
        return res + 1
 
    def bisect(self, x):
        res = 0
        tmp = 0
        b = 2**(int.bit_length(self.size)-2)
        while b:
            if tmp + self.node[res+b] <= x:
                res += b
                tmp += self.node[res]
            b //= 2
        return res + 1

class DammySet:

    def __init__(self, counter, INF=2**32, counter_is_unique_and_sorted=True):
        if not counter_is_unique_and_sorted:
            if type(counter) != Counter:
                counter = Counter(counter)

            self.bit = BIT(len(counter.keys())+3)
            self.key = sorted([-INF, -INF] + sorted(counter.keys()) + [INF])
            self.val = [counter[k] for k in self.key]
            S = list(accumulate(self.val))
            self.bit.initialize(S)

        else:
            self.bit = BIT(len(counter) + 3)
            self.key = [-INF, -INF] + counter + [INF]
            self.val = [0, 0] + [1]*len(counter) + [0]
            S = [0] + list(range(len(counter) + 1)) + [len(counter)]
            self.bit.initialize(S)

    def add(self, val):
        ix = bisect_left(self.key, val)
        assert self.key[ix] == val
        self.bit.add(ix, 1)


    def update(self, vals):
        for k, v in Counter(vals).items():
            ix = bisect_left(self.key, k)
            if self.key[ix] != k:
                raise KeyError
            self.bit.add(ix, v)


    def remove(self, vals):
        for k, v in Counter(vals).items():
            ix = bisect_left(self.key, k)
            if self.key[ix] != k:
                raise KeyError
            
            
            
            assert self.bit.sum(ix) - self.bit.sum(ix-1) > 0

            self.bit.add(ix, -v)


    def pop_vals(self, l, r):
        assert l <= r

        rix = bisect(self.key, r) - 1
        lix = bisect_left(self.key, l) - 1
        
        rv = self.bit.sum(rix)
        lv = self.bit.sum(lix)
        delta = rv - lv
        tv = lv+1
        tix = lix*1

        vix = 0
        rmvix = 0
        vals = [0]*delta
        rmvk = [0]*delta
        rmvv = [0]*delta
        while delta:
            OK = self.bit.bisect_left(tv)
            c = self.bit.sum(OK)
            d = c - tv + 1
            for _ in range(d):
                vals[vix] = self.key[OK]
                vix += 1
            rmvk[rmvix] = OK
            rmvv[rmvix] = d
            rmvix += 1
            tv += d
            tix = OK
            delta -= d

        for i in range(rmvix):
            self.bit.add(rmvk[i], -rmvv[i])
        return vals

N, M = inpl()
Q = sorted([inpl() for _ in range(N)], key=itemgetter(2))
D = [int(input()) for _ in range(M)]
rD = {v:i for i, v in enumerate(D)}
ans = [-1]*(M)
 
dmap = DammySet(D)
 
for s, t, x in Q:
    val = dmap.pop_vals(s-x, t-1-x)
    for v in val:
        ans[rD[v]] = x
 
print(*ans, sep="\n")

Solution (Python):
from bisect import bisect, bisect_left
from collections import Counter
from functools import reduce
from itertools import accumulate
from operator import itemgetter, xor

import sys
input = sys.stdin.readline

def inpl(): return list(map(int, input().split()))

class BIT:
    def __init__(self, N):
        
        self.size = 2 ** (int.bit_length(N+1))
        self.node = [0]*(self.size + 1)
 
    def initialize(self, S):
        
        
        if len(S) < self.size + 1:
            S += [S[-1]] * (self.size+1 - len(S))
        for i in range(1, self.size+1):
            self.node[i] = S[i] - S[i - (i&-i)]
 
    def sum(self, i):
        res = 0
        while i:
            res += self.node[i]
            i -= (i & -(i))
        return res
 
    def add(self, i, x):
        if i == 0:
            return
        while i <= self.size:
            self.node[i] += x
            i += (i & -(i))
 
    def bisect_left(self, x):
        res = 0
        tmp = 0
        b = 2**(int.bit_length(self.size)-2)
        while b:
            if tmp + self.node[res+b] < x:
                res += b
                tmp += self.node[res]
            b //= 2
        return res + 1
 
    def bisect(self, x):
        res = 0
        tmp = 0
        b = 2**(int.bit_length(self.size)-2)
        while b:
            if tmp + self.node[res+b] <= x:
                res += b
                tmp += self.node[res]
            b //= 2
        return res + 1

class DammySet:

    def __init__(self, counter, INF=2**32):
        if type(counter) != Counter:
            counter = Counter(counter)

        self.bit = BIT(len(counter.keys())+3)
        self.key = sorted([-INF, -INF] + sorted(counter.keys()) + [INF])
        self.val = [counter[k] for k in self.key]
        S = list(accumulate(self.val))

        for i in range(len(self.key)):
            self.bit.node[i] = S[i] - S[i - (i&-i)]
        for i in range(len(self.key), len(self.bit.node)):
            j = i - (i&-i)
            if j < len(S):
                self.bit.node[i] = S[-1] - S[i - (i&-i)]


    def add(self, val):
        ix = bisect_left(self.key, val)
        assert self.key[ix] == val
        self.bit.add(ix, 1)


    def update(self, vals):
        for k, v in Counter(vals).items():
            ix = bisect_left(self.key, k)
            if self.key[ix] != k:
                raise KeyError
            self.bit.add(ix, v)


    def remove(self, vals):
        for k, v in Counter(vals).items():
            ix = bisect_left(self.key, k)
            if self.key[ix] != k:
                raise KeyError
            
            
            
            assert self.bit.sum(ix) - self.bit.sum(ix-1) > 0

            self.bit.add(ix, -v)


    def pop_vals(self, l, r):
        assert l <= r

        rix = bisect(self.key, r) - 1
        lix = bisect_left(self.key, l) - 1
        
        rv = self.bit.sum(rix)
        lv = self.bit.sum(lix)
        delta = rv - lv
        tv = lv+1
        tix = lix*1

        vix = 0
        rmvix = 0
        vals = [0]*delta
        rmvk = [0]*delta
        rmvv = [0]*delta
        while delta:
            OK = self.bit.bisect_left(tv)
            c = self.bit.sum(OK)
            d = c - tv + 1
            for _ in range(d):
                vals[vix] = self.key[OK]
                vix += 1
            rmvk[rmvix] = OK
            rmvv[rmvix] = d
            rmvix += 1
            tv += d
            tix = OK
            delta -= d

        for i in range(rmvix):
            self.bit.add(rmvk[i], -rmvv[i])
        return vals

N, M = inpl()
Q = sorted([inpl() for _ in range(N)], key=itemgetter(2))
D = [int(input()) for _ in range(M)]
rD = {v:i for i, v in enumerate(D)}
ans = [-1]*(M)
 
dmap = DammySet(D)
 
for s, t, x in Q:
    val = dmap.pop_vals(s-x, t-1-x)
    for v in val:
        ans[rD[v]] = x
 
print(*ans, sep="\n")