Artem is building a new robot. He has a matrix a consisting of n rows and m columns. The cell located on the i-th row from the top and the j-th column from the left has a value a_{i,j} written in it. 

If two adjacent cells contain the same value, the robot will break. A matrix is called good if no two adjacent cells contain the same value, where two cells are called adjacent if they share a side. 

Artem wants to increment the values in some cells by one to make a good.

More formally, find a good matrix b that satisfies the following condition — 

  * For all valid (i,j), either b_{i,j} = a_{i,j} or b_{i,j} = a_{i,j}+1. 



For the constraints of this problem, it can be shown that such a matrix b always exists. If there are several such tables, you can output any of them. Please note that you do not have to minimize the number of increments.

Input

Each test contains multiple test cases. The first line contains the number of test cases t (1 ≤ t ≤ 10). Description of the test cases follows.

The first line of each test case contains two integers n, m (1 ≤ n ≤ 100, 1 ≤ m ≤ 100) — the number of rows and columns, respectively.

The following n lines each contain m integers. The j-th integer in the i-th line is a_{i,j} (1 ≤ a_{i,j} ≤ 10^9).

Output

For each case, output n lines each containing m integers. The j-th integer in the i-th line is b_{i,j}.

Example

Input


3
3 2
1 2
4 5
7 8
2 2
1 1
3 3
2 2
1 3
2 2


Output


1 2
5 6
7 8
2 1
4 3
2 4
3 2

Note

In all the cases, you can verify that no two adjacent cells have the same value and that b is the same as a with some values incremented by one. 
import sys
from math import gcd,sqrt,ceil,log2
from collections import defaultdict,Counter,deque
from bisect import bisect_left,bisect_right
import math
sys.setrecursionlimit(2*10**5+10)
import heapq
from itertools import permutations

# input=sys.stdin.readline
# def print(x):
#     sys.stdout.write(str(x)+"\n")

# sys.stdin = open('input.txt', 'r')
# sys.stdout = open('output.txt', 'w')
import os
import sys
from io import BytesIO, IOBase

BUFSIZE = 8192

aa='abcdefghijklmnopqrstuvwxyz'
class FastIO(IOBase):
    newlines = 0

    def __init__(self, file):
        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 = os.read(self._fd, max(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 = os.read(self._fd, max(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:
            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")

# import sys
# import io, os
# input = io.BytesIO(os.read(0,os.fstat(0).st_size)).readline
def get_sum(bit,i):
    s = 0

    i+=1
    while i>0:
        s+=bit[i]
        i-=i&(-i)

    return s

def update(bit,n,i,v):
    i+=1

    while i<=n:
        bit[i]+=v
        i+=i&(-i)


def modInverse(b,m):
    g = math.gcd(b, m)
    if (g != 1):
        return -1
    else:
        return pow(b, m - 2, m)

def primeFactors(n):

    sa = []
    # sa.add(n)
    while n % 2 == 0:
        sa.append(2)
        n = n // 2


    for i in range(3,int(math.sqrt(n))+1,2):


        while n % i== 0:
            sa.append(i)
            n = n // i

    # sa.add(n)
    if n > 2:
        sa.append(n)
    return sa


def seive(n):

    pri = [True]*(n+1)
    p = 2
    while p*p<=n:

        if pri[p] == True:

            for i in range(p*p,n+1,p):
                pri[i] = False

        p+=1

    return pri

def check_prim(n):

    if n<0:
        return False
    for i in range(2,int(sqrt(n))+1):
        if n%i == 0:
            return False

    return True


def getZarr(string, z):
    n = len(string)

    # [L,R] make a window which matches
    # with prefix of s
    l, r, k = 0, 0, 0
    for i in range(1, n):

        # if i>R nothing matches so we will calculate.
        # Z[i] using naive way.
        if i > r:
            l, r = i, i

            # R-L = 0 in starting, so it will start
            # checking from 0'th index. For example,
            # for "ababab" and i = 1, the value of R
            # remains 0 and Z[i] becomes 0. For string
            # "aaaaaa" and i = 1, Z[i] and R become 5
            while r < n and string[r - l] == string[r]:
                r += 1
            z[i] = r - l
            r -= 1
        else:

            # k = i-L so k corresponds to number which
            # matches in [L,R] interval.
            k = i - l

            # if Z[k] is less than remaining interval
            # then Z[i] will be equal to Z[k].
            # For example, str = "ababab", i = 3, R = 5
            # and L = 2
            if z[k] < r - i + 1:
                z[i] = z[k]

                # For example str = "aaaaaa" and i = 2,
            # R is 5, L is 0
            else:

                # else start from R and check manually
                l = i
                while r < n and string[r - l] == string[r]:
                    r += 1
                z[i] = r - l
                r -= 1

def search(text, pattern):

    # Create concatenated string "P$T"
    concat = pattern + "$" + text
    l = len(concat)


    z = [0] * l
    getZarr(concat, z)

    ha = []
    for i in range(l):


        if z[i] == len(pattern):
            ha.append(i - len(pattern) - 1)


    return ha


# n,k = map(int,input().split())
# l = list(map(int,input().split()))

#
# n = int(input())
# l = list(map(int,input().split()))
#
# hash = defaultdict(list)
# la = []
#
# for i in range(n):
#     la.append([l[i],i+1])
#
# la.sort(key = lambda x: (x[0],-x[1]))
# ans = []
# r = n
# flag = 0
# lo = []
# ha = [i for i in range(n,0,-1)]
# yo = []
# for a,b in la:
#
#    if a == 1:
#        ans.append([r,b])
#        # hash[(1,1)].append([b,r])
#        lo.append((r,b))
#        ha.pop(0)
#        yo.append([r,b])
#        r-=1
#
#    elif a == 2:
#        # print(yo,lo)
#        # print(hash[1,1])
#        if lo == []:
#            flag = 1
#            break
#        c,d = lo.pop(0)
#        yo.pop(0)
#        if b>=d:
#            flag = 1
#            break
#        ans.append([c,b])
#        yo.append([c,b])
#
#
#
#    elif a == 3:
#
#            if yo == []:
#                flag = 1
#                break
#            c,d = yo.pop(0)
#            if b>=d:
#                flag = 1
#                break
#            if ha == []:
#                flag = 1
#                break
#
#            ka = ha.pop(0)
#
#            ans.append([ka,b])
#            ans.append([ka,d])
#            yo.append([ka,b])
#
# if flag:
#     print(-1)
# else:
#     print(len(ans))
#     for a,b in ans:
#         print(a,b)
def mergeIntervals(arr):

    # Sorting based on the increasing order
    # of the start intervals
    arr.sort(key = lambda x: x[0])

    # array to hold the merged intervals
    m = []
    s = -10000
    max = -100000
    for i in range(len(arr)):
        a = arr[i]
        if a[0] > max:
            if i != 0:
                m.append([s,max])
            max = a[1]
            s = a[0]
        else:
            if a[1] >= max:
                max = a[1]

    #'max' value gives the last point of
    # that particular interval
    # 's' gives the starting point of that interval
    # 'm' array contains the list of all merged intervals

    if max != -100000 and [s, max] not in m:
        m.append([s, max])
    return m
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))

def ncr(n, r, p):

    num = den = 1
    for i in range(r):
        num = (num * (n - i)) % p
        den = (den * (i + 1)) % p
    return (num * pow(den,
                      p - 2, p)) % p


def sol(n):

    seti = set()
    for i in range(1,int(sqrt(n))+1):
        if n%i == 0:
            seti.add(n//i)
            seti.add(i)


    return seti
def lcm(a,b):

    return (a*b)//gcd(a,b)





#
# n,p = map(int,input().split())
#
# s = input()
#
# if n <=2:
#     if n == 1:
#         pass
#     if n == 2:
#         pass
# i = n-1
# idx = -1
# while i>=0:
#     z = ord(s[i])-96
#     k = chr(z+1+96)
#     flag = 1
#     if i-1>=0:
#         if s[i-1]!=k:
#             flag+=1
#     else:
#             flag+=1
#     if i-2>=0:
#         if s[i-2]!=k:
#             flag+=1
#     else:
#         flag+=1
#     if flag == 2:
#         idx = i
#         s[i] = k
#         break
# if idx == -1:
#     print('NO')
#     exit()
# for i in range(idx+1,n):
#     if
#

def moore_voting(l):

    count1 = 0
    count2 = 0
    first = 10**18
    second = 10**18
    n = len(l)
    for i in range(n):

        if l[i] == first:
            count1+=1
        elif l[i] == second:
            count2+=1

        elif count1 == 0:
            count1+=1
            first = l[i]

        elif count2 == 0:
            count2+=1
            second = l[i]
        else:
            count1-=1
            count2-=1

    for i in range(n):
        if l[i] == first:
            count1+=1
        elif l[i] == second:
            count2+=1
    if count1>n//3:
        return first
    if count2>n//3:
        return second

    return -1





def find_parent(u,parent):

    if u!=parent[u]:
        parent[u] = find_parent(parent[u],parent)

    return parent[u]






def dis_union(n):


    par = [i for i in range(n+1)]
    rank = [1]*(n+1)
    k = int(input())
    for i in range(k):
        a,b = map(int,input().split())
        z1,z2 = find_parent(a,par),find_parent(b,par)
        if z1!=z2:
            par[z1] = z2
            rank[z2]+=rank[z1]


def dijkstra(n,tot,hash):


    hea = [[0,n]]
    dis = [10**18]*(tot+1)
    dis[n] = 0
    boo = defaultdict(bool)
    check = defaultdict(int)
    while hea:
        a,b = heapq.heappop(hea)

        if boo[b]:
            continue

        boo[b] = True

        for i,w in hash[b]:
            if b == 1:
              c = 0
              if (1,i,w) in nodes:
                 c = nodes[(1,i,w)]
                 del nodes[(1,i,w)]

              if dis[b]+w<dis[i]:
                dis[i] = dis[b]+w

                check[i] = c

              elif dis[b]+w == dis[i] and c == 0:
                  dis[i] = dis[b]+w
                  check[i] = c

            else:

                if dis[b]+w<=dis[i]:
                    dis[i] = dis[b]+w
                    check[i] = check[b]



            heapq.heappush(hea,[dis[i],i])

    return check

def power(x,y,p):

    res = 1
    x = x%p
    if x == 0:
        return 0

    while y>0:

        if (y&1) == 1:
            res*=x

        x = x*x
        y = y>>1

    return res




t = int(input())

for _ in range(t):

     n,m = map(int,input().split())
     l = []
     for i in range(n):
         la = list(map(int,input().split()))
         l.append(la)
     seti = set()
     for i in range(n):
         for j in range(m):
             flag = 0
             if i-1>=0 and l[i][j] == l[i-1][j]:
                 flag = 1
             if j-1>=0 and l[i][j-1] == l[i][j]:
                 flag = 1
             if flag:
                 l[i][j]+=1


     for i in range(n-1,-1,-1):
         for j in range(m-1,-1,-1):
             flag = 0
             if i+1<n and l[i][j] == l[i+1][j]:
                 flag = 1
             if j+1<m and l[i][j] == l[i][j+1]:
                 flag = 1


             if flag == 1:
                 l[i][j]+=1




     for i in l:
         print(*i)

