The only difference between easy and hard versions is constraints.

If you write a solution in Python, then prefer to send it in PyPy to speed up execution time.

A session has begun at Beland State University. Many students are taking exams.

Polygraph Poligrafovich is going to examine a group of n students. Students will take the exam one-by-one in order from 1-th to n-th. Rules of the exam are following:

  * The i-th student randomly chooses a ticket. 
  * if this ticket is too hard to the student, he doesn't answer and goes home immediately (this process is so fast that it's considered no time elapses). This student fails the exam. 
  * if the student finds the ticket easy, he spends exactly t_i minutes to pass the exam. After it, he immediately gets a mark and goes home. 



Students take the exam in the fixed order, one-by-one, without any interruption. At any moment of time, Polygraph Poligrafovich takes the answer from one student.

The duration of the whole exam for all students is M minutes (max t_i ≤ M), so students at the end of the list have a greater possibility to run out of time to pass the exam.

For each student i, you should count the minimum possible number of students who need to fail the exam so the i-th student has enough time to pass the exam.

For each student i, find the answer independently. That is, if when finding the answer for the student i_1 some student j should leave, then while finding the answer for i_2 (i_2>i_1) the student j student does not have to go home.

Input

The first line of the input contains two integers n and M (1 ≤ n ≤ 2 ⋅ 10^5, 1 ≤ M ≤ 2 ⋅ 10^7) — the number of students and the total duration of the exam in minutes, respectively.

The second line of the input contains n integers t_i (1 ≤ t_i ≤ 100) — time in minutes that i-th student spends to answer to a ticket.

It's guaranteed that all values of t_i are not greater than M.

Output

Print n numbers: the i-th number must be equal to the minimum number of students who have to leave the exam in order to i-th student has enough time to pass the exam.

Examples

Input


7 15
1 2 3 4 5 6 7


Output


0 0 0 0 0 2 3 

Input


5 100
80 40 40 40 60


Output


0 1 1 2 3 

Note

The explanation for the example 1.

Please note that the sum of the first five exam times does not exceed M=15 (the sum is 1+2+3+4+5=15). Thus, the first five students can pass the exam even if all the students before them also pass the exam. In other words, the first five numbers in the answer are 0.

In order for the 6-th student to pass the exam, it is necessary that at least 2 students must fail it before (for example, the 3-rd and 4-th, then the 6-th will finish its exam in 1+2+5+6=14 minutes, which does not exceed M).

In order for the 7-th student to pass the exam, it is necessary that at least 3 students must fail it before (for example, the 2-nd, 5-th and 6-th, then the 7-th will finish its exam in 1+3+4+7=15 minutes, which does not exceed M).
import sys, os, io
def rs(): return sys.stdin.readline().rstrip()
def ri(): return int(sys.stdin.readline())
def ria(): return list(map(int, sys.stdin.readline().split()))
def ws(s): sys.stdout.write(s + '\n')
def wi(n): sys.stdout.write(str(n) + '\n')
def wia(a): sys.stdout.write(' '.join([str(x) for x in a]) + '\n')
import math,datetime,functools,itertools,operator,bisect,fractions,statistics
from collections import deque,defaultdict,OrderedDict,Counter
from fractions import Fraction
from decimal import Decimal
from sys import stdout
from heapq import heappush, heappop, heapify ,_heapify_max,_heappop_max,nsmallest,nlargest
# sys.setrecursionlimit(111111) 
INF=999999999999999999999999
alphabets="abcdefghijklmnopqrstuvwxyz"
class SortedList:
    def __init__(self, iterable=[], _load=200):
        """Initialize sorted list instance."""
        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):
        """Build a fenwick tree instance."""
        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):
        """Update `fen_tree[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):
        """Return `sum(_fen_tree[: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):
        """Return a pair of (the largest `idx` such that `sum(_fen_tree[:idx]) <= k`, `k - sum(_fen_tree[:idx])`)."""
        _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):
        """Delete value at the given `(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):
        """Return an index pair that corresponds to the first position of `value` in the sorted list."""
        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):
        """Return an index pair that corresponds to the last position of `value` in the sorted list."""
        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):
        """Add `value` to sorted list."""
        _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):
        """Remove `value` from sorted list if it is a member."""
        _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):
        """Remove `value` from sorted list; `value` must be a member."""
        _len = self._len
        self.discard(value)
        if _len == self._len:
            raise ValueError('{0!r} not in list'.format(value))
 
    def pop(self, index=-1):
        """Remove and return value at `index` in sorted list."""
        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):
        """Return the first index to insert `value` in the sorted list."""
        pos, idx = self._loc_left(value)
        return self._fen_query(pos) + idx
 
    def bisect_right(self, value):
        """Return the last index to insert `value` in the sorted list."""
        pos, idx = self._loc_right(value)
        return self._fen_query(pos) + idx
 
    def count(self, value):
        """Return number of occurrences of `value` in the sorted list."""
        return self.bisect_right(value) - self.bisect_left(value)
 
    def __len__(self):
        """Return the size of the sorted list."""
        return self._len
 
    def __getitem__(self, index):
        """Lookup value at `index` in sorted list."""
        pos, idx = self._fen_findkth(self._len + index if index < 0 else index)
        return self._lists[pos][idx]
 
    def __delitem__(self, index):
        """Remove value at `index` from sorted list."""
        pos, idx = self._fen_findkth(self._len + index if index < 0 else index)
        self._delete(pos, idx)
 
    def __contains__(self, value):
        """Return true if `value` is an element of the sorted list."""
        _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 an iterator over the sorted list."""
        return (value for _list in self._lists for value in _list)
 
    def __reversed__(self):
        """Return a reverse iterator over the sorted list."""
        return (value for _list in reversed(self._lists) for value in reversed(_list))
 
    def __repr__(self):
        """Return string representation of sorted list."""
        return 'SortedList({0})'.format(list(self))
    
class SegTree:
    
    def __init__(self, n):
        self.N = 1 << n.bit_length()
        self.tree = [0] * (self.N<<1)
    
    def update(self, i, j, v):
        i += self.N
        j += self.N
        while i <= j:
            if i%2==1: self.tree[i] += v
            if j%2==0: self.tree[j] += v
            i, j = (i+1) >> 1, (j-1) >> 1
    
    def query(self, i):
        v = 0
        i += self.N
        while i > 0:
            v += self.tree[i]
            i >>= 1
        return v

def SieveOfEratosthenes(limit):
    """Returns all primes not greater than limit."""
    isPrime = [True]*(limit+1)
    isPrime[0] = isPrime[1] = False
    primes = []
    for i in range(2, limit+1):
        if not isPrime[i]:continue
        primes += [i]
        for j in range(i*i, limit+1, i):
            isPrime[j] = False
    return primes
from collections import Counter


def gcd(x, y):
    """greatest common divisor of x and y"""
    while y:
        x, y = y, x % y
    return x


def memodict(f):
    """memoization decorator for a function taking a single argument"""
    class memodict(dict):
        def __missing__(self, key):
            ret = self[key] = f(key)
            return ret

    return memodict().__getitem__


def pollard_rho(n):
    """returns a random factor of n"""
    if n & 1 == 0:
        return 2
    if n % 3 == 0:
        return 3

    s = ((n - 1) & (1 - n)).bit_length() - 1
    d = n >> s
    for a in [2, 325, 9375, 28178, 450775, 9780504, 1795265022]:
        p = pow(a, d, n)
        if p == 1 or p == n - 1 or a % n == 0:
            continue
        for _ in range(s):
            prev = p
            p = (p * p) % n
            if p == 1:
                return gcd(prev - 1, n)
            if p == n - 1:
                break
        else:
            for i in range(2, n):
                x, y = i, (i * i + 1) % n
                f = gcd(abs(x - y), n)
                while f == 1:
                    x, y = (x * x + 1) % n, (y * y + 1) % n
                    y = (y * y + 1) % n
                    f = gcd(abs(x - y), n)
                if f != n:
                    return f
    return n


@memodict
def prime_factors(n):
    """returns a Counter of the prime factorization of n"""
    if n <= 1:
        return Counter()
    f = pollard_rho(n)
    return Counter([n]) if f == n else prime_factors(f) + prime_factors(n // f)


def distinct_factors(n):
    """returns a list of all distinct factors of n"""
    factors = [1]
    for p, exp in prime_factors(n).items():
        factors += [p**i * factor for factor in factors for i in range(1, exp + 1)]
    return factors


def all_factors(n):
    """returns a sorted list of all distinct factors of n"""
    small, large = [], []
    for i in range(1, int(n**0.5) + 1, 2 if n & 1 else 1):
        if not n % i:
            small.append(i)
            large.append(n // i)
    if small[-1] == large[-1]:
        large.pop()
    large.reverse()
    small.extend(large)
    return small

# N = 200000
 
# # array to store inverse of 1 to N 
# factorialNumInverse = [None] * (N + 1) 
 
# # array to precompute inverse of 1! to N! 
# naturalNumInverse = [None] * (N + 1) 
 
# # array to store factorial of  
# # first N numbers 
# fact = [None] * (N + 1) 
 
# # Function to precompute inverse of numbers 
# def InverseofNumber(p): 
#     naturalNumInverse[0] = naturalNumInverse[1] = 1
#     for i in range(2, N + 1, 1): 
#         naturalNumInverse[i] = (naturalNumInverse[p % i] * 
#                                 (p - int(p / i)) % p) 
# # Function to precompute inverse  
# # of factorials 
# def InverseofFactorial(p): 
#     factorialNumInverse[0] = factorialNumInverse[1] = 1
  
#     # precompute inverse of natural numbers 
#     for i in range(2, N + 1, 1): 
#         factorialNumInverse[i] = (naturalNumInverse[i] * 
#                                   factorialNumInverse[i - 1]) % p 
  
# # Function to calculate factorial of 1 to N 
# def factorial(p): 
#     fact[0] = 1
  
#     # precompute factorials 
#     for i in range(1, N + 1): 
#         fact[i] = (fact[i - 1] * i) % p 
  
# # Function to return nCr % p in O(1) time 
# def nCr(N, R, p): 
      
#     # n C r = n!*inverse(r!)*inverse((n-r)!) 
#     ans = ((fact[N] * factorialNumInverse[R])% p * 
#                       factorialNumInverse[N - R])% p 
    return ans 
def main():

    mod=1000000007
    # InverseofNumber(mod)
    # InverseofFactorial(mod)
    # factorial(mod)
    starttime=datetime.datetime.now()
    if(os.path.exists('input.txt')):
        sys.stdin = open("input.txt","r")
        sys.stdout = open("output.txt","w")
    
    tc=1
    
    # Did you look at the constraints dummy?
    # 1.Greedy? Dictionary keep a count of values if constraint on something is low? 
    # 2.DP?
    # 3.Binary Search?(Monotonic? any one directed order in which we have to perform something?)
    # 4.Graph? Bipartitenes???
    # 5.Number Theory?(GCD subtraction?)
    # 6.Bruteforce?(Redundant part of N which may not give answer?Constraints?)
    # 7.Range Queries?
    # 8.Any Equivalency?(We have A and B and have to do 
    #   something between them maybe difficult if there was A~C and C~B then A~B
    #   C could be max or min or some other thing)
    # 9.Reverse Engineering?(From Answer to quesn or last step to first step)
    #10.Constructive? Mod?
    #11.Combinatorics--> (n to i-1 index ways) * (ith index ways) * Ways (for i-1 till 0 index)?

    tc=1
    for _ in range(tc):
        
        # LOGIC-->
        # The main hint was the value of k 
        # We have to worry about students before i for calculating answer for i
        # Total time of all students including i is (sum of t from 1 to i-1 +t[i]) or basically sum of first i elements in t
        # Lets denote this sum as S which denotes sum of first i durations of student exams
        # S<=m
        # If S>m we go through counts of all numbers from 100 moving to smaller till 1 for range 1 to i-1
        # But we can break in middle as we are trying to find the min count of students who will leave exam in order to accomodate ith student
        # IMPORTANT CLUE-->
        # We can calculate cnt[j] for j from 1 to 100 very easily using a count frequency array as we have to keep track of just first 100 numbers 
        # Now for cnt of j from 100 moving towards 1 
        # if S-cnt[j]*j>m  then S-=cnt[j]*j and ans_i+=cnt[j]
        # if S-cnt[j]*j<=m then we cant just add cnt[j] we need to subtract min times j such that condition still holds    
        # Let min times to subtract j from S be e
        # S-e*j<=m
        # e>=(S-m)/j
        # e=math.ceil((S-m)/j)
        # So if S-cnt[j]*j<=m then ans_i+=e and then break we dont have to check for more cnt values we have achieved min answer required
        # Remember to update back the S for calculating answer for next index as we calculate for every index independently
        
        n,m=ria()
        t=ria()
        cnt=[0]*101
        S=0
        ans=[]
        for i in range(n):
            ans_i=0
            S+=t[i]
            if S>m:
                temp_s=S
                for j in range(100,0,-1):
                    if temp_s-cnt[j]*j>m:
                        temp_s-=cnt[j]*j
                        ans_i+=cnt[j]
                    else:
                        ans_i+=(temp_s-m+j-1)//j
                        break
            cnt[t[i]]+=1
            ans.append(ans_i)
        wia(ans)  
        
        



            
            
        
           
        
        
         
                                
                
            


        
        

        
        

        
        
        
            
        
        
            
                

            
            
                
            
            
            
            
        
        
       
         
        

        
        
                    
                        

                    
           
                     
            
        
                
        
        
            
        
        
        
        
        

    
        
        
        
                
                
        
        
        
    

        
        
        

        
                             
        
        
        
            
        
        
                     
        
        
                    
        
                     
                    
                    
                
                
                    
                
        
        
            
                   
        
                    

        
        
                
            
            
    
            
                        
        
    

        
    #<--Solving Area Ends
    endtime=datetime.datetime.now()
    time=(endtime-starttime).total_seconds()*1000
    if(os.path.exists('input.txt')):
        print("Time:",time,"ms")  
    
                
class FastReader(io.IOBase):
    newlines = 0

    def __init__(self, fd, chunk_size=1024 * 8):
        self._fd = fd
        self._chunk_size = chunk_size
        self.buffer = io.BytesIO()

    def read(self):
        while True:
            b = os.read(self._fd, max(os.fstat(self._fd).st_size, self._chunk_size))
            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, size=-1):
        while self.newlines == 0:
            b = os.read(self._fd, max(os.fstat(self._fd).st_size, self._chunk_size if size == -1 else size))
            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()


class FastWriter(io.IOBase):

    def __init__(self, fd):
        self._fd = fd
        self.buffer = io.BytesIO()
        self.write = self.buffer.write

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


class FastStdin(io.IOBase):
    def __init__(self, fd=0):
        self.buffer = FastReader(fd)
        self.read = lambda: self.buffer.read().decode("ascii")
        self.readline = lambda: self.buffer.readline().decode("ascii")


class FastStdout(io.IOBase):
    def __init__(self, fd=1):
        self.buffer = FastWriter(fd)
        self.write = lambda s: self.buffer.write(s.encode("ascii"))
        self.flush = self.buffer.flush


if __name__ == '__main__':
    sys.stdin = FastStdin()
    sys.stdout = FastStdout()
    main()
    