Problem: Vova decided to clean his room. The room can be represented as the coordinate axis OX. There are n piles of trash in the room, coordinate of the i-th pile is the integer p_i. All piles have different coordinates.

Let's define a total cleanup as the following process. The goal of this process is to collect all the piles in no more than two different x coordinates. To achieve this goal, Vova can do several (possibly, zero) moves. During one move, he can choose some x and move all piles from x to x+1 or x-1 using his broom. Note that he can't choose how many piles he will move.

Also, there are two types of queries:

  * 0 x — remove a pile of trash from the coordinate x. It is guaranteed that there is a pile in the coordinate x at this moment. 
  * 1 x — add a pile of trash to the coordinate x. It is guaranteed that there is no pile in the coordinate x at this moment. 



Note that it is possible that there are zero piles of trash in the room at some moment.

Vova wants to know the minimum number of moves he can spend if he wants to do a total cleanup before any queries. He also wants to know this number of moves after applying each query. Queries are applied in the given order. Note that the total cleanup doesn't actually happen and doesn't change the state of piles. It is only used to calculate the number of moves.

For better understanding, please read the Notes section below to see an explanation for the first example.

Input

The first line of the input contains two integers n and q (1 ≤ n, q ≤ 10^5) — the number of piles in the room before all queries and the number of queries, respectively.

The second line of the input contains n distinct integers p_1, p_2, ..., p_n (1 ≤ p_i ≤ 10^9), where p_i is the coordinate of the i-th pile.

The next q lines describe queries. The i-th query is described with two integers t_i and x_i (0 ≤ t_i ≤ 1; 1 ≤ x_i ≤ 10^9), where t_i is 0 if you need to remove a pile from the coordinate x_i and is 1 if you need to add a pile to the coordinate x_i. It is guaranteed that for t_i = 0 there is such pile in the current set of piles and for t_i = 1 there is no such pile in the current set of piles.

Output

Print q+1 integers: the minimum number of moves Vova needs to do a total cleanup before the first query and after each of q queries.

Examples

Input


5 6
1 2 6 8 10
1 4
1 9
0 6
0 10
1 100
1 50


Output


5
7
7
5
4
8
49


Input


5 8
5 1 2 4 3
0 1
0 2
0 3
0 4
0 5
1 1000000000
1 1
1 500000000


Output


3
2
1
0
0
0
0
0
499999999

Note

Consider the first example.

Initially, the set of piles is [1, 2, 6, 8, 10]. The answer before the first query is 5 because you can move all piles from 1 to 2 with one move, all piles from 10 to 8 with 2 moves and all piles from 6 to 8 with 2 moves.

After the first query, the set becomes [1, 2, 4, 6, 8, 10]. Then the answer is 7 because you can move all piles from 6 to 4 with 2 moves, all piles from 4 to 2 with 2 moves, all piles from 2 to 1 with 1 move and all piles from 10 to 8 with 2 moves.

After the second query, the set of piles becomes [1, 2, 4, 6, 8, 9, 10] and the answer is the same (and the previous sequence of moves can be applied to the current set of piles).

After the third query, the set of piles becomes [1, 2, 4, 8, 9, 10] and the answer is 5 because you can move all piles from 1 to 2 with 1 move, all piles from 2 to 4 with 2 moves, all piles from 10 to 9 with 1 move and all piles from 9 to 8 with 1 move.

After the fourth query, the set becomes [1, 2, 4, 8, 9] and the answer is almost the same (the previous sequence of moves can be applied without moving piles from 10).

After the fifth query, the set becomes [1, 2, 4, 8, 9, 100]. You can move all piles from 1 and further to 9 and keep 100 at its place. So the answer is 8.

After the sixth query, the set becomes [1, 2, 4, 8, 9, 50, 100]. The answer is 49 and can be obtained with almost the same sequence of moves as after the previous query. The only difference is that you need to move all piles from 50 to 9 too.

Solution (in PYTHON):

Solution:
from __future__ import print_function, division
from sys import stdin, stdout
import operator as op
from bisect import *
from itertools import chain, repeat, starmap
from functools import reduce


class SortedList():
    """Sorted list is a sorted mutable sequence."""
    DEFAULT_LOAD_FACTOR = 500

    def __init__(self, iterable=None):
        """Initialize sorted list instance."""
        self._len = 0
        self._load = self.DEFAULT_LOAD_FACTOR
        self._lists = []
        self._maxes = []
        self._index = []
        self._offset = 0
        if iterable is not None:
            self.update(iterable)

    def clear(self):
        """Remove all values from sorted list."""
        self._len = 0
        del self._lists[:]
        del self._maxes[:]
        del self._index[:]
        self._offset = 0

    def add(self, value):
        """Add `value` to sorted list."""
        _lists = self._lists
        _maxes = self._maxes
        if _maxes:
            pos = bisect_right(_maxes, value)
            if pos == len(_maxes):
                _lists[pos - 1].append(value)
                _maxes[pos - 1] = value
            else:
                insort(_lists[pos], value)
            self._expand(pos)
        else:
            _lists.append([value])
            _maxes.append(value)
        self._len += 1

    def _expand(self, pos):
        """Split sublists with length greater than double the load-factor."""
        _load = self._load
        _lists = self._lists
        _index = self._index

        if len(_lists[pos]) > (_load << 1):
            _maxes = self._maxes
            _lists_pos = _lists[pos]
            half = _lists_pos[_load:]
            del _lists_pos[_load:]
            _maxes[pos] = _lists_pos[-1]
            _lists.insert(pos + 1, half)
            _maxes.insert(pos + 1, half[-1])
            del _index[:]
        else:
            if _index:
                child = self._offset + pos
                while child:
                    _index[child] += 1
                    child = (child - 1) >> 1
                _index[0] += 1

    def update(self, iterable):
        """Update sorted list by adding all values from `iterable`."""
        _lists = self._lists
        _maxes = self._maxes
        values = sorted(iterable)

        if _maxes:
            if len(values) * 4 >= self._len:
                values.extend(chain.from_iterable(_lists))
                values.sort()
                self.clear()
            else:
                _add = self.add
                for val in values:
                    _add(val)
                return

        _load = self._load
        _lists.extend(values[pos:(pos + _load)] for pos in range(0, len(values), _load))
        _maxes.extend(sublist[-1] for sublist in _lists)
        self._len = len(values)
        del self._index[:]

    def __contains__(self, value):
        """Return true if `value` is an element of the sorted list."""
        _maxes = self._maxes
        pos = bisect_left(_maxes, value)
        if pos == len(_maxes):
            return False

        _lists = self._lists
        idx = bisect_left(_lists[pos], value)
        return _lists[pos][idx] == value

    def remove(self, value):
        """Remove `value` from sorted list if it is a member."""
        _maxes = self._maxes
        pos = bisect_left(_maxes, value)
        if pos == len(_maxes):
            return

        _lists = self._lists
        idx = bisect_left(_lists[pos], value)
        if _lists[pos][idx] == value:
            self._delete(pos, idx)

    def _delete(self, pos, idx):
        """Delete value at the given `(pos, idx)`."""
        _lists = self._lists
        _maxes = self._maxes
        _index = self._index

        _lists_pos = _lists[pos]
        del _lists_pos[idx]
        self._len -= 1

        len_lists_pos = len(_lists_pos)
        if len_lists_pos > (self._load >> 1):
            _maxes[pos] = _lists_pos[-1]

            if _index:
                child = self._offset + pos
                while child > 0:
                    _index[child] -= 1
                    child = (child - 1) >> 1
                _index[0] -= 1
        elif len(_lists) > 1:
            if not pos:
                pos += 1
            prev = pos - 1
            _lists[prev].extend(_lists[pos])
            _maxes[prev] = _lists[prev][-1]
            del _lists[pos]
            del _maxes[pos]
            del _index[:]
            self._expand(prev)
        elif len_lists_pos:
            _maxes[pos] = _lists_pos[-1]
        else:
            del _lists[pos]
            del _maxes[pos]
            del _index[:]

    def _loc(self, pos, idx):
        """Convert an index pair (lists index, sublist index) into a single
        index number that corresponds to the position of the value in the
        sorted list."""
        if not pos:
            return idx

        _index = self._index
        if not _index:
            self._build_index()
        total = 0
        pos += self._offset
        while pos:
            if not pos & 1:
                total += _index[pos - 1]
            pos = (pos - 1) >> 1
        return total + idx

    def _pos(self, idx):
        """Convert an index into an index pair (lists index, sublist index)
        that can be used to access the corresponding lists position."""
        if idx < 0:
            last_len = len(self._lists[-1])
            if (-idx) <= last_len:
                return len(self._lists) - 1, last_len + idx
            idx += self._len
            if idx < 0:
                raise IndexError('list index out of range')
        elif idx >= self._len:
            raise IndexError('list index out of range')

        if idx < len(self._lists[0]):
            return 0, idx

        _index = self._index
        if not _index:
            self._build_index()

        pos = 0
        child = 1
        len_index = len(_index)
        while child < len_index:
            index_child = _index[child]
            if idx < index_child:
                pos = child
            else:
                idx -= index_child
                pos = child + 1
            child = (pos << 1) + 1
        return (pos - self._offset, idx)

    def _build_index(self):
        """Build a positional index for indexing the sorted list."""
        row0 = list(map(len, self._lists))
        if len(row0) == 1:
            self._index[:] = row0
            self._offset = 0
            return

        head = iter(row0)
        tail = iter(head)
        row1 = list(starmap(op.add, zip(head, tail)))
        if len(row0) & 1:
            row1.append(row0[-1])
        if len(row1) == 1:
            self._index[:] = row1 + row0
            self._offset = 1
            return

        size = 1 << (len(row1) - 1).bit_length()
        row1.extend(repeat(0, size - len(row1)))
        tree = [row0, row1]
        while len(tree[-1]) > 1:
            head = iter(tree[-1])
            tail = iter(head)
            row = list(starmap(op.add, zip(head, tail)))
            tree.append(row)
        reduce(list.__iadd__, reversed(tree), self._index)
        self._offset = size * 2 - 1

    def __delitem__(self, index):
        """Remove value at `index` from sorted list."""
        if isinstance(index, slice):
            start, stop, step = index.indices(self._len)
            if step == 1 and start < stop:
                if start == 0 and stop == self._len:
                    return self.clear()
                elif self._len <= 8 * (stop - start):
                    values = self.__getitem__(slice(None, start))
                    if stop < self._len:
                        values += self.__getitem__(slice(stop, None))
                    self.clear()
                    return self.update(values)

            indices = range(start, stop, step)
            if step > 0:
                indices = reversed(indices)
            _pos, _delete = self._pos, self._delete
            for index in indices:
                pos, idx = _pos(index)
                _delete(pos, idx)
        else:
            pos, idx = self._pos(index)
            self._delete(pos, idx)

    def __getitem__(self, index):
        """Lookup value at `index` in sorted list."""
        _lists = self._lists

        if isinstance(index, slice):
            start, stop, step = index.indices(self._len)

            if step == 1 and start < stop:
                if start == 0 and stop == self._len:
                    return reduce(list.__iadd__, self._lists, [])

                start_pos, start_idx = self._pos(start)
                if stop == self._len:
                    stop_pos = len(_lists) - 1
                    stop_idx = len(_lists[stop_pos])
                else:
                    stop_pos, stop_idx = self._pos(stop)
                if start_pos == stop_pos:
                    return _lists[start_pos][start_idx:stop_idx]

                prefix = _lists[start_pos][start_idx:]
                middle = _lists[(start_pos + 1):stop_pos]
                result = reduce(list.__iadd__, middle, prefix)
                result += _lists[stop_pos][:stop_idx]
                return result

            if step == -1 and start > stop:
                result = self.__getitem__(slice(stop + 1, start + 1))
                result.reverse()
                return result

            indices = range(start, stop, step)
            return list(self.__getitem__(index) for index in indices)
        else:
            if self._len:
                if index == 0:
                    return _lists[0][0]
                elif index == -1:
                    return _lists[-1][-1]
            else:
                raise IndexError('list index out of range')

            if 0 <= index < len(_lists[0]):
                return _lists[0][index]

            len_last = len(_lists[-1])
            if -len_last < index < 0:
                return _lists[-1][len_last + index]

            pos, idx = self._pos(index)
            return _lists[pos][idx]

    def __iter__(self):
        """Return an iterator over the sorted list."""
        return chain.from_iterable(self._lists)

    def __reversed__(self):
        """Return a reverse iterator over the sorted list."""
        return chain.from_iterable(map(reversed, reversed(self._lists)))

    def __len__(self):
        """Return the size of the sorted list."""
        return self._len

    def bisect_left(self, value):
        """Return an index to insert `value` in the sorted list."""
        pos = bisect_left(self._maxes, value)
        return self._len if pos == len(self._maxes) else self._loc(pos, bisect_left(self._lists[pos], value))

    def bisect_right(self, value):
        """Return an index to insert `value` in the sorted list."""
        pos = bisect_right(self._maxes, value)
        return self._len if pos == len(self._maxes) else self._loc(pos, bisect_right(self._lists[pos], value))

    bisect = bisect_right

    def count(self, value):
        """Return number of occurrences of `value` in the sorted list."""
        _maxes = self._maxes
        if not _maxes:
            return 0

        pos_left = bisect_left(_maxes, value)
        if pos_left == len(_maxes):
            return 0

        _lists = self._lists
        idx_left = bisect_left(_lists[pos_left], value)
        pos_right = bisect_right(_maxes, value)
        if pos_right == len(_maxes):
            return self._len - self._loc(pos_left, idx_left)

        idx_right = bisect_right(_lists[pos_right], value)
        if pos_left == pos_right:
            return idx_right - idx_left

        right = self._loc(pos_right, idx_right)
        left = self._loc(pos_left, idx_left)
        return right - left

    def copy(self):
        """Return a shallow copy of the sorted list."""
        return self.__class__(self)

    __copy__ = copy

    def pop(self, index=-1):
        """Remove and return value at `index` in sorted list."""
        if not self._len:
            raise IndexError('pop index out of range')

        _lists = self._lists
        if 0 <= index < len(_lists[0]):
            val = _lists[0][index]
            self._delete(0, index)
            return val

        len_last = len(_lists[-1])
        if -len_last < index < 0:
            pos = len(_lists) - 1
            loc = len_last + index
            val = _lists[pos][loc]
            self._delete(pos, loc)
            return val

        pos, idx = self._pos(index)
        val = _lists[pos][idx]
        self._delete(pos, idx)
        return val

    def index(self, value, start=0, stop=None):
        """Return first index of value in sorted list."""
        _len = self._len
        if start < 0:
            start += _len
        if start < 0:
            start = 0
        if stop is None:
            stop = _len
        if stop < 0:
            stop += _len
        if stop > _len:
            stop = _len

        if stop <= start:
            raise ValueError('{0!r} is not in list'.format(value))

        _maxes = self._maxes
        pos_left = bisect_left(_maxes, value)
        if pos_left == len(_maxes):
            raise ValueError('{0!r} is not in list'.format(value))

        _lists = self._lists
        idx_left = bisect_left(_lists[pos_left], value)
        if _lists[pos_left][idx_left] != value:
            raise ValueError('{0!r} is not in list'.format(value))

        stop -= 1
        left = self._loc(pos_left, idx_left)
        if start <= left:
            if left <= stop:
                return left
        else:
            if start <= self.bisect_right(value) - 1:
                return start
        raise ValueError('{0!r} is not in list'.format(value))

    def __add__(self, other):
        """Return new sorted list containing all values in both sequences."""
        values = reduce(list.__iadd__, self._lists, [])
        values.extend(other)
        return self.__class__(values)

    __radd__ = __add__

    def __iadd__(self, other):
        """Update sorted list with values from `other`."""
        self.update(other)
        return self

    def __mul__(self, num):
        """Return new sorted list with `num` shallow copies of values."""
        values = reduce(list.__iadd__, self._lists, []) * num
        return self.__class__(values)

    __rmul__ = __mul__

    def __imul__(self, num):
        """Update the sorted list with `num` shallow copies of values."""
        values = reduce(list.__iadd__, self._lists, []) * num
        self.clear()
        self.update(values)
        return self

    def __make_cmp(seq_op):
        "Make comparator method."

        def comparer(self, other):
            "Compare method for sorted list and sequence."
            self_len = self._len
            len_other = len(other)
            if self_len != len_other:
                if seq_op is op.eq:
                    return False
                if seq_op is op.ne:
                    return True

            for alpha, beta in zip(self, other):
                if alpha != beta:
                    return seq_op(alpha, beta)
            return seq_op(self_len, len_other)

        comparer.__name__ = '__{0}__'.format(seq_op.__name__)
        return comparer

    __eq__ = __make_cmp(op.eq)
    __ne__ = __make_cmp(op.ne)
    __lt__ = __make_cmp(op.lt)
    __gt__ = __make_cmp(op.gt)
    __le__ = __make_cmp(op.le)
    __ge__ = __make_cmp(op.ge)
    __make_cmp = staticmethod(__make_cmp)

    def __repr__(self):
        """Return string representation of sorted list."""
        return 'SortedList({0})'.format(reduce(list.__iadd__, self._lists, []))


rint = lambda: int(stdin.readline())
rints = lambda: [int(x) for x in stdin.readline().split()]
rints_2d = lambda n: [rints() for _ in range(n)]
pr = lambda args, sep: stdout.write(sep.join(map(str, args)) + '\n')
solve = lambda: 0 if len(a) < 4 else a[-2] - a[0] - diff[-2]
bound = lambda x: (bisect_left(a, x) - 1, bisect_right(a, x))
out = []

n, m = rints()
a, qur = SortedList(rints() + [10 ** 9 + 2]), rints_2d(m)
diff = SortedList([10 ** 9 + 2])

for i in range(n - 1):
    diff.add(a[i + 1] - a[i])

out.append(solve())

for x, y in qur:
    lo, hi = bound(y)
    if x:
        if lo > -1:
            diff.add(y - a[lo])
        if hi != len(a) - 1:
            diff.add(a[hi] - y)
        if lo > -1 and hi != len(a) - 1:
            diff.remove(a[hi] - a[lo])
        a.add(y)
    else:
        if lo > -1:
            diff.remove(y - a[lo])
        if hi != len(a) - 1:
            diff.remove(a[hi] - y)
        if lo > -1 and hi != len(a) - 1:
            diff.add(a[hi] - a[lo])
        a.remove(y)

    out.append(solve())
pr(out, '\n')