Trash Problem (Codeforces 1418D)
Tags: Implement, data structures

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 $$$q$$$ ($$$1 \le n, q \le 10^5$$$) — 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 $$$p_1, p_2, \dots, p_n$$$ ($$$1 \le p_i \le 10^9$$$), 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 $$$x_i$$$ ($$$0 \le t_i \le 1; 1 \le x_i \le 10^9$$$), 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.

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.

Sample Inputs:
5 6
1 2 6 8 10
1 4
1 9
0 6
0 10
1 100
1 50

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

Sample Outputs:
5
7
7
5
4
8
49

3
2
1
0
0
0
0
0
499999999

Solution (Python):
class SortedList:

    def __init__(self, iterable=[], _load=200):
        """"""
        values = sorted(iterable)
        self._len = _len = len(values)
        self._load = _load
        self._lists = _lists = [values[i:i + _load] for i in range(0, _len, _load)]
        self._list_lens = [len(_list) for _list in _lists]
        self._mins = [_list[0] for _list in _lists]
        self._fen_tree = []
        self._rebuild = True

    def _fen_build(self):
        """"""
        self._fen_tree[:] = self._list_lens
        _fen_tree = self._fen_tree
        for i in range(len(_fen_tree)):
            if i | i + 1 < len(_fen_tree):
                _fen_tree[i | i + 1] += _fen_tree[i]
        self._rebuild = False

    def _fen_update(self, index, value):
        """"""
        if not self._rebuild:
            _fen_tree = self._fen_tree
            while index < len(_fen_tree):
                _fen_tree[index] += value
                index |= index + 1

    def _fen_query(self, end):
        """"""
        if self._rebuild:
            self._fen_build()
        _fen_tree = self._fen_tree
        x = 0
        while end:
            x += _fen_tree[end - 1]
            end &= end - 1
        return x

    def _fen_findkth(self, k):
        """"""
        _list_lens = self._list_lens
        if k < _list_lens[0]:
            return (0, k)
        if k >= self._len - _list_lens[-1]:
            return (len(_list_lens) - 1, k + _list_lens[-1] - self._len)
        if self._rebuild:
            self._fen_build()
        _fen_tree = self._fen_tree
        idx = -1
        for d in reversed(range(len(_fen_tree).bit_length())):
            right_idx = idx + (1 << d)
            if right_idx < len(_fen_tree) and k >= _fen_tree[right_idx]:
                idx = right_idx
                k -= _fen_tree[idx]
        return (idx + 1, k)

    def _delete(self, pos, idx):
        """"""
        _lists = self._lists
        _mins = self._mins
        _list_lens = self._list_lens
        self._len -= 1
        self._fen_update(pos, -1)
        del _lists[pos][idx]
        _list_lens[pos] -= 1
        if _list_lens[pos]:
            _mins[pos] = _lists[pos][0]
        else:
            del _lists[pos]
            del _list_lens[pos]
            del _mins[pos]
            self._rebuild = True

    def _loc_left(self, value):
        """"""
        if not self._len:
            return (0, 0)
        _lists = self._lists
        _mins = self._mins
        (lo, pos) = (-1, len(_lists) - 1)
        while lo + 1 < pos:
            mi = lo + pos >> 1
            if value <= _mins[mi]:
                pos = mi
            else:
                lo = mi
        if pos and value <= _lists[pos - 1][-1]:
            pos -= 1
        _list = _lists[pos]
        (lo, idx) = (-1, len(_list))
        while lo + 1 < idx:
            mi = lo + idx >> 1
            if value <= _list[mi]:
                idx = mi
            else:
                lo = mi
        return (pos, idx)

    def _loc_right(self, value):
        """"""
        if not self._len:
            return (0, 0)
        _lists = self._lists
        _mins = self._mins
        (pos, hi) = (0, len(_lists))
        while pos + 1 < hi:
            mi = pos + hi >> 1
            if value < _mins[mi]:
                hi = mi
            else:
                pos = mi
        _list = _lists[pos]
        (lo, idx) = (-1, len(_list))
        while lo + 1 < idx:
            mi = lo + idx >> 1
            if value < _list[mi]:
                idx = mi
            else:
                lo = mi
        return (pos, idx)

    def add(self, value):
        """"""
        _load = self._load
        _lists = self._lists
        _mins = self._mins
        _list_lens = self._list_lens
        self._len += 1
        if _lists:
            (pos, idx) = self._loc_right(value)
            self._fen_update(pos, 1)
            _list = _lists[pos]
            _list.insert(idx, value)
            _list_lens[pos] += 1
            _mins[pos] = _list[0]
            if _load + _load < len(_list):
                _lists.insert(pos + 1, _list[_load:])
                _list_lens.insert(pos + 1, len(_list) - _load)
                _mins.insert(pos + 1, _list[_load])
                _list_lens[pos] = _load
                del _list[_load:]
                self._rebuild = True
        else:
            _lists.append([value])
            _mins.append(value)
            _list_lens.append(1)
            self._rebuild = True

    def discard(self, value):
        """"""
        _lists = self._lists
        if _lists:
            (pos, idx) = self._loc_right(value)
            if idx and _lists[pos][idx - 1] == value:
                self._delete(pos, idx - 1)

    def remove(self, value):
        """"""
        _len = self._len
        self.discard(value)
        if _len == self._len:
            raise ValueError('{0!r} not in list'.format(value))

    def pop(self, index=-1):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        value = self._lists[pos][idx]
        self._delete(pos, idx)
        return value

    def bisect_left(self, value):
        """"""
        (pos, idx) = self._loc_left(value)
        return self._fen_query(pos) + idx

    def bisect_right(self, value):
        """"""
        (pos, idx) = self._loc_right(value)
        return self._fen_query(pos) + idx

    def count(self, value):
        """"""
        return self.bisect_right(value) - self.bisect_left(value)

    def __len__(self):
        """"""
        return self._len

    def __getitem__(self, index):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        return self._lists[pos][idx]

    def __delitem__(self, index):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        self._delete(pos, idx)

    def __contains__(self, value):
        """"""
        _lists = self._lists
        if _lists:
            (pos, idx) = self._loc_left(value)
            return idx < len(_lists[pos]) and _lists[pos][idx] == value
        return False

    def __iter__(self):
        """"""
        return (value for _list in self._lists for value in _list)

    def __reversed__(self):
        """"""
        return (value for _list in reversed(self._lists) for value in reversed(_list))

    def __repr__(self):
        """"""
        return 'SortedList({0})'.format(list(self))

class OrderedList(SortedList):

    def __init__(self, arg):
        super().__init__(arg)

    def rangeCountByValue(self, leftVal, rightVal):
        leftCummulative = self.bisect_left(leftVal)
        rightCummulative = self.bisect_left(rightVal + 1)
        return rightCummulative - leftCummulative

def main():
    (n, q) = readIntArr()
    p = readIntArr()
    gaps = SortedList()
    p.sort()
    sl = SortedList(p)
    for i in range(1, n):
        gaps.add(p[i] - p[i - 1])

    def getans():
        if len(sl) <= 1:
            return 0
        return sl[-1] - sl[0] - gaps[-1]

    def add(x):
        idx = sl.bisect_left(x)
        if 0 <= idx - 1 and idx < len(sl):
            removegap = sl[idx] - sl[idx - 1]
            gaps.remove(removegap)
        if 0 <= idx - 1:
            addgap = x - sl[idx - 1]
            gaps.add(addgap)
        if idx < len(sl):
            addgap = sl[idx] - x
            gaps.add(addgap)
        sl.add(x)

    def remove(x):
        idx = sl.bisect_left(x)
        if 0 <= idx - 1:
            removegap = x - sl[idx - 1]
            gaps.remove(removegap)
        if idx + 1 < len(sl):
            removegap = sl[idx + 1] - x
            gaps.remove(removegap)
        if 0 <= idx - 1 and idx + 1 < len(sl):
            addgap = sl[idx + 1] - sl[idx - 1]
            gaps.add(addgap)
        sl.remove(x)
    allans = []
    allans.append(getans())
    for _ in range(q):
        (t, x) = readIntArr()
        if t == 0:
            remove(x)
        else:
            add(x)
        allans.append(getans())
    multiLineArrayPrint(allans)
    return
import sys
input = sys.stdin.buffer.readline

def oneLineArrayPrint(arr):
    print(' '.join([str(x) for x in arr]))

def multiLineArrayPrint(arr):
    print('\n'.join([str(x) for x in arr]))

def multiLineArrayOfArraysPrint(arr):
    print('\n'.join([' '.join([str(x) for x in y]) for y in arr]))

def readIntArr():
    return [int(x) for x in input().split()]

def makeArr(defaultValFactory, dimensionArr):
    dv = defaultValFactory
    da = dimensionArr
    if len(da) == 1:
        return [dv() for _ in range(da[0])]
    else:
        return [makeArr(dv, da[1:]) for _ in range(da[0])]

def queryInteractive(a, b, c):
    print('? {} {} {}'.format(a, b, c))
    sys.stdout.flush()
    return int(input())

def answerInteractive(x1, x2):
    print('! {} {}'.format(x1, x2))
    sys.stdout.flush()
inf = float('inf')
from math import gcd, floor, ceil
import math
for _abc in range(1):
    main()

Solution (Python):
import os
import sys
from io import BytesIO, IOBase
from bisect import bisect_left
BUFSIZE = 8192

class FastIO(IOBase):
    newlines = 0

    def __init__(self, file):
        import os
        self.os = os
        self._fd = file.fileno()
        self.buffer = BytesIO()
        self.writable = 'x' in file.mode or 'r' not in file.mode
        self.write = self.buffer.write if self.writable else None

    def read(self):
        while True:
            b = self.os.read(self._fd, max(self.os.fstat(self._fd).st_size, BUFSIZE))
            if not b:
                break
            ptr = self.buffer.tell()
            (self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr))
        self.newlines = 0
        return self.buffer.read()

    def readline(self):
        while self.newlines == 0:
            b = self.os.read(self._fd, max(self.os.fstat(self._fd).st_size, BUFSIZE))
            self.newlines = b.count(b'\n') + (not b)
            ptr = self.buffer.tell()
            (self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr))
        self.newlines -= 1
        return self.buffer.readline()

    def flush(self):
        if self.writable:
            self.os.write(self._fd, self.buffer.getvalue())
            (self.buffer.truncate(0), self.buffer.seek(0))

class IOWrapper(IOBase):

    def __init__(self, file):
        self.buffer = FastIO(file)
        self.flush = self.buffer.flush
        self.writable = self.buffer.writable
        self.write = lambda s: self.buffer.write(s.encode('ascii'))
        self.read = lambda : self.buffer.read().decode('ascii')
        self.readline = lambda : self.buffer.readline().decode('ascii')
(sys.stdin, sys.stdout) = (IOWrapper(sys.stdin), IOWrapper(sys.stdout))
input = lambda : sys.stdin.readline().rstrip('\r\n')

def ri():
    return int(input())

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

class SortedList:

    def __init__(self, iterable=[], _load=200):
        """"""
        values = sorted(iterable)
        self._len = _len = len(values)
        self._load = _load
        self._lists = _lists = [values[i:i + _load] for i in range(0, _len, _load)]
        self._list_lens = [len(_list) for _list in _lists]
        self._mins = [_list[0] for _list in _lists]
        self._fen_tree = []
        self._rebuild = True

    def _fen_build(self):
        """"""
        self._fen_tree[:] = self._list_lens
        _fen_tree = self._fen_tree
        for i in range(len(_fen_tree)):
            if i | i + 1 < len(_fen_tree):
                _fen_tree[i | i + 1] += _fen_tree[i]
        self._rebuild = False

    def _fen_update(self, index, value):
        """"""
        if not self._rebuild:
            _fen_tree = self._fen_tree
            while index < len(_fen_tree):
                _fen_tree[index] += value
                index |= index + 1

    def _fen_query(self, end):
        """"""
        if self._rebuild:
            self._fen_build()
        _fen_tree = self._fen_tree
        x = 0
        while end:
            x += _fen_tree[end - 1]
            end &= end - 1
        return x

    def _fen_findkth(self, k):
        """"""
        _list_lens = self._list_lens
        if k < _list_lens[0]:
            return (0, k)
        if k >= self._len - _list_lens[-1]:
            return (len(_list_lens) - 1, k + _list_lens[-1] - self._len)
        if self._rebuild:
            self._fen_build()
        _fen_tree = self._fen_tree
        idx = -1
        for d in reversed(range(len(_fen_tree).bit_length())):
            right_idx = idx + (1 << d)
            if right_idx < len(_fen_tree) and k >= _fen_tree[right_idx]:
                idx = right_idx
                k -= _fen_tree[idx]
        return (idx + 1, k)

    def _delete(self, pos, idx):
        """"""
        _lists = self._lists
        _mins = self._mins
        _list_lens = self._list_lens
        self._len -= 1
        self._fen_update(pos, -1)
        del _lists[pos][idx]
        _list_lens[pos] -= 1
        if _list_lens[pos]:
            _mins[pos] = _lists[pos][0]
        else:
            del _lists[pos]
            del _list_lens[pos]
            del _mins[pos]
            self._rebuild = True

    def _loc_left(self, value):
        """"""
        if not self._len:
            return (0, 0)
        _lists = self._lists
        _mins = self._mins
        (lo, pos) = (-1, len(_lists) - 1)
        while lo + 1 < pos:
            mi = lo + pos >> 1
            if value <= _mins[mi]:
                pos = mi
            else:
                lo = mi
        if pos and value <= _lists[pos - 1][-1]:
            pos -= 1
        _list = _lists[pos]
        (lo, idx) = (-1, len(_list))
        while lo + 1 < idx:
            mi = lo + idx >> 1
            if value <= _list[mi]:
                idx = mi
            else:
                lo = mi
        return (pos, idx)

    def _loc_right(self, value):
        """"""
        if not self._len:
            return (0, 0)
        _lists = self._lists
        _mins = self._mins
        (pos, hi) = (0, len(_lists))
        while pos + 1 < hi:
            mi = pos + hi >> 1
            if value < _mins[mi]:
                hi = mi
            else:
                pos = mi
        _list = _lists[pos]
        (lo, idx) = (-1, len(_list))
        while lo + 1 < idx:
            mi = lo + idx >> 1
            if value < _list[mi]:
                idx = mi
            else:
                lo = mi
        return (pos, idx)

    def add(self, value):
        """"""
        _load = self._load
        _lists = self._lists
        _mins = self._mins
        _list_lens = self._list_lens
        self._len += 1
        if _lists:
            (pos, idx) = self._loc_right(value)
            self._fen_update(pos, 1)
            _list = _lists[pos]
            _list.insert(idx, value)
            _list_lens[pos] += 1
            _mins[pos] = _list[0]
            if _load + _load < len(_list):
                _lists.insert(pos + 1, _list[_load:])
                _list_lens.insert(pos + 1, len(_list) - _load)
                _mins.insert(pos + 1, _list[_load])
                _list_lens[pos] = _load
                del _list[_load:]
                self._rebuild = True
        else:
            _lists.append([value])
            _mins.append(value)
            _list_lens.append(1)
            self._rebuild = True

    def discard(self, value):
        """"""
        _lists = self._lists
        if _lists:
            (pos, idx) = self._loc_right(value)
            if idx and _lists[pos][idx - 1] == value:
                self._delete(pos, idx - 1)

    def remove(self, value):
        """"""
        _len = self._len
        self.discard(value)
        if _len == self._len:
            raise ValueError('{0!r} not in list'.format(value))

    def pop(self, index=-1):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        value = self._lists[pos][idx]
        self._delete(pos, idx)
        return value

    def bisect_left(self, value):
        """"""
        (pos, idx) = self._loc_left(value)
        return self._fen_query(pos) + idx

    def bisect_right(self, value):
        """"""
        (pos, idx) = self._loc_right(value)
        return self._fen_query(pos) + idx

    def count(self, value):
        """"""
        return self.bisect_right(value) - self.bisect_left(value)

    def __len__(self):
        """"""
        return self._len

    def __getitem__(self, index):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        return self._lists[pos][idx]

    def __delitem__(self, index):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        self._delete(pos, idx)

    def __contains__(self, value):
        """"""
        _lists = self._lists
        if _lists:
            (pos, idx) = self._loc_left(value)
            return idx < len(_lists[pos]) and _lists[pos][idx] == value
        return False

    def __iter__(self):
        """"""
        return (value for _list in self._lists for value in _list)

    def __reversed__(self):
        """"""
        return (value for _list in reversed(self._lists) for value in reversed(_list))

    def __repr__(self):
        """"""
        return 'SortedList({0})'.format(list(self))

def solve_query():
    if len(pp) > 1:
        print(pp[-1] - pp[0] - distances[-1])
    else:
        print(0)
''
(n, q) = rl()
pp = rl()
pp = SortedList(pp)
distances = SortedList([pp[i] - pp[i - 1] for i in range(1, n)])
solve_query()
for query in range(q):
    (t, val) = rl()
    if t == 1:
        if len(pp) > 0:
            idx = pp.bisect_left(val)
            if idx == 0:
                distances.add(pp[0] - val)
                pp.add(val)
            elif idx == len(pp):
                distances.add(val - pp[-1])
                pp.add(val)
            else:
                distances.remove(pp[idx] - pp[idx - 1])
                distances.add(pp[idx] - val)
                distances.add(val - pp[idx - 1])
                pp.add(val)
        else:
            pp.add(val)
    else:
        pp.remove(val)
        if len(pp) > 0:
            idx = pp.bisect_left(val)
            if idx == 0:
                distances.remove(pp[0] - val)
            elif idx == len(pp):
                distances.remove(val - pp[-1])
            else:
                distances.add(pp[idx] - pp[idx - 1])
                distances.remove(pp[idx] - val)
                distances.remove(val - pp[idx - 1])
    solve_query()

Solution (Python):
import os, sys
from io import IOBase, BytesIO
py2 = round(0.5)
if py2:
    from future_builtins import ascii, filter, hex, map, oct, zip
    range = xrange
BUFSIZE = 8192

class FastIO(BytesIO):
    newlines = 0

    def __init__(self, file):
        self._file = file
        self._fd = file.fileno()
        self.writable = 'x' in file.mode or 'w' in file.mode
        self.write = super(FastIO, self).write if self.writable else None

    def _fill(self):
        s = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE))
        self.seek((self.tell(), self.seek(0, 2), super(FastIO, self).write(s))[0])
        return s

    def read(self):
        while self._fill():
            pass
        return super(FastIO, self).read()

    def readline(self):
        while self.newlines == 0:
            s = self._fill()
            self.newlines = s.count(b'\n') + (not s)
        self.newlines -= 1
        return super(FastIO, self).readline()

    def flush(self):
        if self.writable:
            os.write(self._fd, self.getvalue())
            (self.truncate(0), self.seek(0))

class IOWrapper(IOBase):

    def __init__(self, file):
        self.buffer = FastIO(file)
        self.flush = self.buffer.flush
        self.writable = self.buffer.writable
        if py2:
            self.write = self.buffer.write
            self.read = self.buffer.read
            self.readline = self.buffer.readline
        else:
            self.write = lambda s: self.buffer.write(s.encode('ascii'))
            self.read = lambda : self.buffer.read().decode('ascii')
            self.readline = lambda : self.buffer.readline().decode('ascii')
(sys.stdin, sys.stdout) = (IOWrapper(sys.stdin), IOWrapper(sys.stdout))
input = lambda : sys.stdin.readline().rstrip('\r\n')
import sys

class ostream:

    def __lshift__(self, a):
        sys.stdout.write(str(a))
        return self
cout = ostream()
endl = '\n'

def get_input(a=str):
    return a(input())

def get_int_input():
    return get_input(int)

def get_input_arr(a):
    return list(map(a, input().split()))

def get_int_input_arr():
    return get_input_arr(int)

class SortedList:

    def __init__(self, iterable=[], _load=200):
        """"""
        values = sorted(iterable)
        self._len = _len = len(values)
        self._load = _load
        self._lists = _lists = [values[i:i + _load] for i in range(0, _len, _load)]
        self._list_lens = [len(_list) for _list in _lists]
        self._mins = [_list[0] for _list in _lists]
        self._fen_tree = []
        self._rebuild = True

    def _fen_build(self):
        """"""
        self._fen_tree[:] = self._list_lens
        _fen_tree = self._fen_tree
        for i in range(len(_fen_tree)):
            if i | i + 1 < len(_fen_tree):
                _fen_tree[i | i + 1] += _fen_tree[i]
        self._rebuild = False

    def _fen_update(self, index, value):
        """"""
        if not self._rebuild:
            _fen_tree = self._fen_tree
            while index < len(_fen_tree):
                _fen_tree[index] += value
                index |= index + 1

    def _fen_query(self, end):
        """"""
        if self._rebuild:
            self._fen_build()
        _fen_tree = self._fen_tree
        x = 0
        while end:
            x += _fen_tree[end - 1]
            end &= end - 1
        return x

    def _fen_findkth(self, k):
        """"""
        _list_lens = self._list_lens
        if k < _list_lens[0]:
            return (0, k)
        if k >= self._len - _list_lens[-1]:
            return (len(_list_lens) - 1, k + _list_lens[-1] - self._len)
        if self._rebuild:
            self._fen_build()
        _fen_tree = self._fen_tree
        idx = -1
        for d in reversed(range(len(_fen_tree).bit_length())):
            right_idx = idx + (1 << d)
            if right_idx < len(_fen_tree) and k >= _fen_tree[right_idx]:
                idx = right_idx
                k -= _fen_tree[idx]
        return (idx + 1, k)

    def _delete(self, pos, idx):
        """"""
        _lists = self._lists
        _mins = self._mins
        _list_lens = self._list_lens
        self._len -= 1
        self._fen_update(pos, -1)
        del _lists[pos][idx]
        _list_lens[pos] -= 1
        if _list_lens[pos]:
            _mins[pos] = _lists[pos][0]
        else:
            del _lists[pos]
            del _list_lens[pos]
            del _mins[pos]
            self._rebuild = True

    def _loc_left(self, value):
        """"""
        if not self._len:
            return (0, 0)
        _lists = self._lists
        _mins = self._mins
        (lo, pos) = (-1, len(_lists) - 1)
        while lo + 1 < pos:
            mi = lo + pos >> 1
            if value <= _mins[mi]:
                pos = mi
            else:
                lo = mi
        if pos and value <= _lists[pos - 1][-1]:
            pos -= 1
        _list = _lists[pos]
        (lo, idx) = (-1, len(_list))
        while lo + 1 < idx:
            mi = lo + idx >> 1
            if value <= _list[mi]:
                idx = mi
            else:
                lo = mi
        return (pos, idx)

    def _loc_right(self, value):
        """"""
        if not self._len:
            return (0, 0)
        _lists = self._lists
        _mins = self._mins
        (pos, hi) = (0, len(_lists))
        while pos + 1 < hi:
            mi = pos + hi >> 1
            if value < _mins[mi]:
                hi = mi
            else:
                pos = mi
        _list = _lists[pos]
        (lo, idx) = (-1, len(_list))
        while lo + 1 < idx:
            mi = lo + idx >> 1
            if value < _list[mi]:
                idx = mi
            else:
                lo = mi
        return (pos, idx)

    def add(self, value):
        """"""
        _load = self._load
        _lists = self._lists
        _mins = self._mins
        _list_lens = self._list_lens
        self._len += 1
        if _lists:
            (pos, idx) = self._loc_right(value)
            self._fen_update(pos, 1)
            _list = _lists[pos]
            _list.insert(idx, value)
            _list_lens[pos] += 1
            _mins[pos] = _list[0]
            if _load + _load < len(_list):
                _lists.insert(pos + 1, _list[_load:])
                _list_lens.insert(pos + 1, len(_list) - _load)
                _mins.insert(pos + 1, _list[_load])
                _list_lens[pos] = _load
                del _list[_load:]
                self._rebuild = True
        else:
            _lists.append([value])
            _mins.append(value)
            _list_lens.append(1)
            self._rebuild = True

    def discard(self, value):
        """"""
        _lists = self._lists
        if _lists:
            (pos, idx) = self._loc_right(value)
            if idx and _lists[pos][idx - 1] == value:
                self._delete(pos, idx - 1)

    def remove(self, value):
        """"""
        _len = self._len
        self.discard(value)
        if _len == self._len:
            raise ValueError('{0!r} not in list'.format(value))

    def pop(self, index=-1):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        value = self._lists[pos][idx]
        self._delete(pos, idx)
        return value

    def bisect_left(self, value):
        """"""
        (pos, idx) = self._loc_left(value)
        return self._fen_query(pos) + idx

    def bisect_right(self, value):
        """"""
        (pos, idx) = self._loc_right(value)
        return self._fen_query(pos) + idx

    def count(self, value):
        """"""
        return self.bisect_right(value) - self.bisect_left(value)

    def __len__(self):
        """"""
        return self._len

    def __getitem__(self, index):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        return self._lists[pos][idx]

    def __delitem__(self, index):
        """"""
        (pos, idx) = self._fen_findkth(self._len + index if index < 0 else index)
        self._delete(pos, idx)

    def __contains__(self, value):
        """"""
        _lists = self._lists
        if _lists:
            (pos, idx) = self._loc_left(value)
            return idx < len(_lists[pos]) and _lists[pos][idx] == value
        return False

    def __iter__(self):
        """"""
        return (value for _list in self._lists for value in _list)

    def __reversed__(self):
        """"""
        return (value for _list in reversed(self._lists) for value in reversed(_list))

    def __repr__(self):
        """"""
        return 'SortedList({0})'.format(list(self))
import bisect

def solve():
    (n, q) = get_int_input_arr()
    trash = get_int_input_arr()
    trash.sort()
    gs = []
    if len(trash) == 1:
        cout << 0 << endl
    else:
        for i in range(len(trash) - 1):
            gs.append(trash[i] - trash[i + 1])
        gs.sort()
        cout << trash[-1] - trash[0] + gs[0] << endl
    tr = SortedList(trash)
    gaps = SortedList(gs)
    for _ in range(q):
        (q_type, val) = get_int_input_arr()
        if q_type == 1:
            if len(tr) <= 1:
                tr.add(val)
                if len(tr) > 1:
                    gaps.add(tr[0] - tr[1])
                cout << 0 << endl
            else:
                pos = bisect.bisect_left(tr, val)
                if pos > 0:
                    g1 = tr[pos - 1] - val
                    gaps.add(g1)
                if pos < len(tr):
                    g2 = val - tr[pos]
                    gaps.add(g2)
                if 0 < pos < len(tr):
                    g3 = tr[pos - 1] - tr[pos]
                    gaps.remove(g3)
                tr.add(val)
                cout << tr[-1] - tr[0] + gaps[0] << endl
        elif len(tr) <= 2:
            if len(tr) > 1:
                gaps = SortedList([])
            tr.remove(val)
            cout << 0 << endl
        else:
            pos = bisect.bisect_left(tr, val)
            if pos > 0:
                g1 = tr[pos - 1] - tr[pos]
                gaps.remove(g1)
            if pos < len(tr) - 1:
                g2 = val - tr[pos + 1]
                gaps.remove(g2)
            if 0 < pos < len(tr) - 1:
                gaps.add(tr[pos - 1] - tr[pos + 1])
            tr.remove(val)
            cout << tr[-1] - tr[0] + gaps[0] << endl

def main():
    solve()
if __name__ == '__main__':
    main()