Meanwhile, Candace and Stacy are busy planning to attend the concert of the famous Love Händel. Jeremy will also be attending the event. Therefore, Candace plans to offer the best possible gift to Jeremy.
Candace has $N$ strings, each of length $M$. Each character of each string can either be a lowercase English letter or the character '#'. She denotes the substring of $i$-$th$ string starting from the $l$-$th$ character and ending with the $r$-$th$ character as $S_{i}[l, r]$. She has to choose a list $a$ of $N - 1$ numbers such that  
- $1 \leq a_1 \leq a_2 \leq a_3 \leq ... \leq a_{N-1} \leq  M$.
- The final gift string is obtained by appending the substrings $S_{1}[1, a_{1}]$, $S_{2}[a_{1}, a_{2}]$, $S_{3}[a_{2}, a_{3}]$, .., $S_{N-1}[a_{N-2}, a_{N-1}]$, $S_{N}[a_{N-1}, M]$.
- Candace considers the gift to be the most beautiful one if the final gift string is the lexicographically smallest possible string and it doesn't contain the '#' character.
Let $P$ = $S_{1}[1, a_{1}]$ + $S_{2}[a_{1}, a_{2}]$ + $S_{3}[a_{2}, a_{3}]$ + .., + $S_{N-1}[a_{N-2}, a_{N-1}]$ + $S_{N}[a_{N-1}, M]$, then $P$ should be the lexicographically smallest string  possible and it should not contain '#' character, where '+' denotes concatenation of two substrings.
Help Candace find the best possible gift string quickly as she does not want Jeremy to wait for her. Also, it is guaranteed that at least one such valid string exists.

-----Input-----
- The first line contains a single integer $T$ denoting the number of testcases.
- The first line of each test case contains $2$ space separated integers denoting the values of $N$ and $M$ respectively.
- $N$ lines follow. Each line contains a string $S_i$ of length $M$ as described above.

-----Output-----
For every test case, print a line containing lexicographically lowest possible gift string.

-----Constraints-----
- $1 \leq T \leq 10^4$
- $1 \leq N, M \leq 10^6$
- $|S_i| = M$
- All $S_i$ will contain either a lower English letter ('a' to 'z' ) or the character '#' (ASCII $35$).
- Sum of $N * M$ over all test cases for a particular test file does not exceed $10^7$.
- It is guaranteed that a valid solution will always exist.

-----Sample Input-----
2
3 3
xab
a#z
caa
5 4
pyqs
vcot
qbiu
lihj
uvmz

-----Sample Output-----
xabza
pvcbihjz

-----Explanation-----
For test $1$:
The array $a$ chosen is: $[3, 3]$
The resulting string $P$ is formed by = $S_{1}[1, 3]$ + $S_{2}[3, 3]$ + $S_{3}[3, 3]$ = xabza
For test $2$:
The array $a$ chosen is: $[1, 2, 3, 4]$
The resulting string $P$ is formed by = $S_{1}[1, 1]$ + $S_{2}[1, 2]$ + $S_{3}[2, 3]$ + $S_{4}[3, 4]$ + $S_{5}[4, 4]$ = pvcbihjz

Starter code:

Solutions:
# import all important libraries and inbuilt functions

from fractions import Fraction
import numpy as np
import sys,bisect,copyreg,copy,statistics,os
from math import *
from collections import Counter,defaultdict,deque,OrderedDict   
from itertools import combinations,permutations,accumulate 
from numpy.linalg import matrix_power as mp
from bisect import bisect_left,bisect_right,bisect,insort,insort_left,insort_right
from statistics import mode
from functools import reduce,cmp_to_key 
from io import BytesIO, IOBase
from scipy.spatial import ConvexHull
from heapq import *
from decimal import *
from queue import Queue,PriorityQueue
from re import sub,subn

# end of library import

# map system version faults
if sys.version_info[0] < 3:
    from builtins import xrange as range
    from future_builtins import ascii, filter, hex, map, oct, zip

# template of many functions used in competitive programming can add more later 
# based on need we will use this commonly.

# bfs in a graph
def bfs(adj,v): # a schema of bfs
    visited=[False]*(v+1);q=deque()
    while q:pass

# definition of vertex of a graph
def graph(vertex): return [[] for i in range(vertex+1)]

def powermodulo(x, y, p) : 
    res = 1;x = x % p        
    if (x == 0) : return 0  
    while (y > 0) : 
        if ((y & 1) == 1) :   res = (res * x) % p 
        y = y >> 1 
        x = (x * x) % p           
    return res

def lcm(a,b): return (a*b)//gcd(a,b)

# most common list in a array of lists
def most_frequent(List):return Counter(List).most_common(1)[0][0]

# element with highest frequency
def most_common(List):return(mode(List))

#In number theory, the Chinese remainder theorem states that 
#if one knows the remainders of the Euclidean division of an integer n by 
#several integers, then one can determine uniquely the remainder of the 
#division of n by the product of these integers, under the condition 
#that the divisors are pairwise coprime.
def chinese_remainder(a, p):
    prod = reduce(op.mul, p, 1);x = [prod // pi for pi in p]
    return sum(a[i] * powermodulo(x[i], p[i] - 2, p[i]) * x[i] for i in range(len(a))) % prod

# make a matrix
def createMatrix(rowCount, colCount, dataList):   
    mat = []
    for i in range (rowCount):
        rowList = []
        for j in range (colCount):
            if dataList[j] not in mat:rowList.append(dataList[j])
        mat.append(rowList) 
    return mat

# input for a binary tree
def readTree(): 
    v=int(inp());adj=[set() for i in range(v+1)]
    for i in range(v-1):u1,u2=In(); adj[u1].add(u2);adj[u2].add(u1)
    return adj,v
    
# sieve of prime numbers    
def sieve():
    li=[True]*1000001;li[0],li[1]=False,False;prime=[]
    for i in range(2,len(li),1):
        if li[i]==True:
            for j in range(i*i,len(li),i):li[j]=False    
    for i in range(1000001):
        if li[i]==True:prime.append(i)
    return prime

#count setbits of a number.
def setBit(n):
    count=0
    while n!=0:n=n&(n-1);count+=1
    return count

# sum of digits of a number
def digitsSum(n):
    if n == 0:return 0
    r = 0
    while n > 0:r += n % 10;n //= 10
    return r

# ncr efficiently
def ncr(n, r):
    r = min(r, n - r);numer = reduce(op.mul, list(range(n, n - r, -1)), 1);denom = reduce(op.mul, list(range(1, r + 1)), 1)
    return numer // denom  # or / in Python 2

#factors of a number
def factors(n):return list(set(reduce(list.__add__, ([i, n // i] for i in range(1, int(n**0.5) + 1) if n % i == 0))))

#prime fators of a number
def prime_factors(n):
    i = 2;factors = []
    while i * i <= n:
        if n % i:i += 1
        else:n //= i;factors.append(i)
    if n > 1:factors.append(n)
    return len(set(factors))

def prefixSum(arr):
    for i in range(1, len(arr)):arr[i] = arr[i] + arr[i-1]
    return arr    

def binomial_coefficient(n, k):
    if 0 <= k <= n:
        ntok = 1;ktok = 1
        for t in range(1, min(k, n - k) + 1):ntok *= n;ktok *= t;n -= 1
        return ntok // ktok
    else:return 0
 
def powerOfK(k, max):
    if k == 1:return [1]
    if k == -1:return [-1, 1] 
    result = [];n = 1
    while n <= max:result.append(n);n *= k
    return result

# maximum subarray sum use kadane's algorithm
def kadane(a,size):
    max_so_far = 0;max_ending_here = 0 
    for i in range(0, size):
        max_ending_here = max_ending_here + a[i]
        if (max_so_far < max_ending_here):max_so_far = max_ending_here 
        if max_ending_here < 0:max_ending_here = 0
    return max_so_far                                    
                  
def divisors(n):
    result = []
    for i in range(1,ceil(sqrt(n))+1):
        if n%i == 0:
            if n/i == i:result.append(i)
            else:result.append(i);result.append(n/i)
    return result

def sumtilln(n): return ((n*(n+1))//2)

def isPrime(n) : 
	if (n <= 1) :return False
	if (n <= 3) :return True
	if (n % 2 == 0 or n % 3 == 0) :return False
	for i in range(5,ceil(sqrt(n))+1,6):
		if (n % i == 0 or n % (i + 2) == 0) :return False
	return True

def isPowerOf2(n):
    while n % 2 == 0:n //= 2
    return (True if n == 1 else False)

def power2(n):
    k = 0
    while n % 2 == 0:k += 1;n //= 2
    return k

def sqsum(n):return ((n*(n+1))*(2*n+1)//6)
    
def cusum(n):return ((sumn(n))**2)

def pa(a):
    for i in range(len(a)):print(a[i], end = " ")
    print()

def pm(a,rown,coln):
    for i in range(rown):
        for j in range(coln):print(a[i][j],end = " ")
        print()

def pmasstring(a,rown,coln):
    for i in range(rown):
        for j in range(coln):print(a[i][j],end = "")
        print()
        
def isPerfectSquare(n):return pow(floor(sqrt(n)),2) == n

def nC2(n,m):return (((n*(n-1))//2) % m)

def modInverse(n,p):return powermodulo(n,p-2,p)

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

def reverse(string):return "".join(reversed(string))        

def listtostr(s):return ' '.join([str(elem) for elem in s]) 

def binarySearch(arr, l, r, x): 
	while l <= r: 
		mid = l + (r - l) // 2; 
		if arr[mid] == x:return mid 
		elif arr[mid] < x:l = mid + 1
		else:r = mid - 1
	return -1

def isarrayodd(a):
    r = True
    for i in range(len(a)):
        if a[i] % 2 == 0:
            r = False
            break
    return r

def isPalindrome(s):return s == s[::-1] 

def gt(x,h,c,t):return ((x*h+(x-1)*c)/(2*x-1))

def CountFrequency(my_list): 
    freq = {} 
    for item in my_list:freq[item] = (freq[item] + 1 if (item in freq) else 1)
    return freq

def CountFrequencyasPair(my_list1,my_list2,freq): 
    for item in my_list1:freq[item][0] = (freq[item][0] + 1 if (item in freq) else 1)
    for item in my_list2:freq[item][1] = (freq[item][1] + 1 if (item in freq) else 1)     
    return freq 
 
def binarySearchCount(arr, n, key):   
    left = 0;right = n - 1;count = 0  
    while (left <= right):  
        mid = int((right + left) / 2) 
        if (arr[mid] <= key):count,left = mid + 1,mid + 1
        else:right = mid - 1      
    return count

def primes(n):
  sieve,l = [True] * (n+1),[]
  for p in range(2, n+1):
    if (sieve[p]):
      l.append(p)
      for i in range(p, n+1, p):sieve[i] = False
  return l

def Next_Greater_Element_for_all_in_array(arr): 
	s,n,reta,retb = list(),len(arr),[],[];arr1 = [list([0,i]) for i in range(n)]
	for i in range(n - 1, -1, -1): 
		while (len(s) > 0 and s[-1][0] <= arr[i]):s.pop() 
		if (len(s) == 0):arr1[i][0] = -1					
		else:arr1[i][0] = s[-1]	 
		s.append(list([arr[i],i]))		
	for i in range(n):reta.append(list([arr[i],i]));retb.append(arr1[i][0])
	return reta,retb

def polygonArea(X,Y,n):   
    area = 0.0;j = n - 1
    for i in range(n):area += (X[j] + X[i]) * (Y[j] - Y[i]);j = i   
    return abs(area / 2.0)
 
#defining a LRU Cache
# where we can set values and get values based on our requirement
class LRUCache: 
	# initialising capacity 
	def __init__(self, capacity: int): 
		self.cache = OrderedDict() 
		self.capacity = capacity 

	# we return the value of the key 
	# that is queried in O(1) and return -1 if we 
	# don't find the key in out dict / cache. 
	# And also move the key to the end 
	# to show that it was recently used. 
	def get(self, key: int) -> int: 
		if key not in self.cache:return -1
		else:self.cache.move_to_end(key);return self.cache[key] 

	# first, we add / update the key by conventional methods. 
	# And also move the key to the end to show that it was recently used. 
	# But here we will also check whether the length of our 
	# ordered dictionary has exceeded our capacity, 
	# If so we remove the first key (least recently used) 
	def put(self, key: int, value: int) -> None: 
		self.cache[key] = value;self.cache.move_to_end(key) 
		if len(self.cache) > self.capacity:self.cache.popitem(last = False)

class segtree:
    def __init__(self,n):
        self.m = 1
        while self.m < n:self.m *= 2
        self.data = [0] * (2 * self.m)
    def __setitem__(self,i,x):
        x = +(x != 1);i += self.m;self.data[i] = x;i >>= 1
        while i:self.data[i] = self.data[2 * i] + self.data[2 * i + 1];i >>= 1
    def __call__(self,l,r):
        l += self.m;r += self.m;s = 0
        while l < r:
            if l & 1:s += self.data[l];l += 1
            if r & 1:r -= 1;s += self.data[r]
            l >>= 1;r >>= 1
        return s        

class FenwickTree:
  def __init__(self, n):self.n = n;self.bit = [0]*(n+1)  
  def update(self, x, d):
    while x <= self.n:self.bit[x] += d;x += (x & (-x))  
  def query(self, x):
    res = 0
    while x > 0:res += self.bit[x];x -= (x & (-x))
    return res
  def range_query(self, l, r):return self.query(r) - self.query(l-1)        
# can add more template functions here
    
# end of template functions

# To enable the file I/O i the below 2 lines are uncommented.
# read from in.txt if uncommented
if os.path.exists('in.txt'): sys.stdin=open('in.txt','r')
# will print on Console if file I/O is not activated
#if os.path.exists('out.txt'): sys.stdout=open('out.txt', 'w')

# inputs template
#for fast input we areusing sys.stdin
def inp(): return sys.stdin.readline().strip()

#for fast output, always take string
def out(var): sys.stdout.write(str(var))  

# cusom base input needed for the program
def I():return (inp())
def II():return (int(inp()))
def FI():return (float(inp()))
def SI():return (list(str(inp())))
def MI():return (map(int,inp().split()))
def LI():return (list(MI()))
def SLI():return (sorted(LI()))
def MF():return (map(float,inp().split()))
def LF():return (list(MF()))

# end of inputs template

# common modulo values used in competitive programming
MOD = 998244353
mod = 10**9+7

# any particular user-defined functions for the code.
# can be written here.  
def solve():
    n,m = MI();ss = []
    for _ in range(n):ss.append(list(I()) + ['#'])
    ss.append(['#']*(m+1))
    for i in range(n-1, -1, -1):
        for j in range(m-1, -1, -1):
            if ss[i+1][j] == '#' and ss[i][j+1] == '#' and (i,j) != (n-1, m-1):ss[i][j] = '#'
    res = [ss[0][0]];cend = {(0,0)}
    for _ in range(n+m-2):
        ncend = set();mn = 'z'
        for i,j in cend:
            if ss[i+1][j] != '#' and ss[i+1][j] <= mn:ncend.add((i+1, j));mn = ss[i+1][j]
            if ss[i][j+1] != '#' and ss[i][j+1] <= mn:ncend.add((i, j+1));mn = ss[i][j+1]
        res.append(mn)
        cend = {(i,j) for (i,j) in ncend if ss[i][j] == mn}

    print(''.join(res))
# end of any user-defined functions

# main functions for execution of the program.
def __starting_point():  
    # execute your program from here.
    # start your main code from here
        
    # Write your code here
    for _ in range(II()):solve()
                    
    # end of main code
    # end of program

# This program is written by :
#   Shubham Gupta
#   B.Tech (2019-2023)
#   Computer Science and Engineering,
#   Department of EECS
#   Contact No:8431624358
#   Indian Institute of Technology(IIT),Bhilai
#   Sejbahar,
#   Datrenga,
#   Raipur,
#   Chhattisgarh
#   492015

#   THANK YOU FOR 
#YOUR KIND PATIENCE FOR READING THE PROGRAM.    
__starting_point()

# import all important libraries and inbuilt functions

from fractions import Fraction
import numpy as np
import sys,bisect,copyreg,copy,statistics,os
from math import *
from collections import Counter,defaultdict,deque,OrderedDict   
from itertools import combinations,permutations,accumulate 
from numpy.linalg import matrix_power as mp
from bisect import bisect_left,bisect_right,bisect,insort,insort_left,insort_right
from statistics import mode
from functools import reduce,cmp_to_key 
from io import BytesIO, IOBase
from scipy.spatial import ConvexHull
from heapq import *
from decimal import *
from queue import Queue,PriorityQueue
from re import sub,subn

# end of library import

# map system version faults
if sys.version_info[0] < 3:
    from builtins import xrange as range
    from future_builtins import ascii, filter, hex, map, oct, zip

# template of many functions used in competitive programming can add more later 
# based on need we will use this commonly.

# bfs in a graph
def bfs(adj,v): # a schema of bfs
    visited=[False]*(v+1);q=deque()
    while q:pass

# definition of vertex of a graph
def graph(vertex): return [[] for i in range(vertex+1)]

def powermodulo(x, y, p) : 
    res = 1;x = x % p        
    if (x == 0) : return 0  
    while (y > 0) : 
        if ((y & 1) == 1) :   res = (res * x) % p 
        y = y >> 1 
        x = (x * x) % p           
    return res

def lcm(a,b): return (a*b)//gcd(a,b)

# most common list in a array of lists
def most_frequent(List):return Counter(List).most_common(1)[0][0]

# element with highest frequency
def most_common(List):return(mode(List))

#In number theory, the Chinese remainder theorem states that 
#if one knows the remainders of the Euclidean division of an integer n by 
#several integers, then one can determine uniquely the remainder of the 
#division of n by the product of these integers, under the condition 
#that the divisors are pairwise coprime.
def chinese_remainder(a, p):
    prod = reduce(op.mul, p, 1);x = [prod // pi for pi in p]
    return sum(a[i] * powermodulo(x[i], p[i] - 2, p[i]) * x[i] for i in range(len(a))) % prod

# make a matrix
def createMatrix(rowCount, colCount, dataList):   
    mat = []
    for i in range (rowCount):
        rowList = []
        for j in range (colCount):
            if dataList[j] not in mat:rowList.append(dataList[j])
        mat.append(rowList) 
    return mat

# input for a binary tree
def readTree(): 
    v=int(inp());adj=[set() for i in range(v+1)]
    for i in range(v-1):u1,u2=In(); adj[u1].add(u2);adj[u2].add(u1)
    return adj,v
    
# sieve of prime numbers    
def sieve():
    li=[True]*1000001;li[0],li[1]=False,False;prime=[]
    for i in range(2,len(li),1):
        if li[i]==True:
            for j in range(i*i,len(li),i):li[j]=False    
    for i in range(1000001):
        if li[i]==True:prime.append(i)
    return prime

#count setbits of a number.
def setBit(n):
    count=0
    while n!=0:n=n&(n-1);count+=1
    return count

# sum of digits of a number
def digitsSum(n):
    if n == 0:return 0
    r = 0
    while n > 0:r += n % 10;n //= 10
    return r

# ncr efficiently
def ncr(n, r):
    r = min(r, n - r);numer = reduce(op.mul, list(range(n, n - r, -1)), 1);denom = reduce(op.mul, list(range(1, r + 1)), 1)
    return numer // denom  # or / in Python 2

#factors of a number
def factors(n):return list(set(reduce(list.__add__, ([i, n // i] for i in range(1, int(n**0.5) + 1) if n % i == 0))))

#prime fators of a number
def prime_factors(n):
    i = 2;factors = []
    while i * i <= n:
        if n % i:i += 1
        else:n //= i;factors.append(i)
    if n > 1:factors.append(n)
    return len(set(factors))

def prefixSum(arr):
    for i in range(1, len(arr)):arr[i] = arr[i] + arr[i-1]
    return arr    

def binomial_coefficient(n, k):
    if 0 <= k <= n:
        ntok = 1;ktok = 1
        for t in range(1, min(k, n - k) + 1):ntok *= n;ktok *= t;n -= 1
        return ntok // ktok
    else:return 0
 
def powerOfK(k, max):
    if k == 1:return [1]
    if k == -1:return [-1, 1] 
    result = [];n = 1
    while n <= max:result.append(n);n *= k
    return result

# maximum subarray sum use kadane's algorithm
def kadane(a,size):
    max_so_far = 0;max_ending_here = 0 
    for i in range(0, size):
        max_ending_here = max_ending_here + a[i]
        if (max_so_far < max_ending_here):max_so_far = max_ending_here 
        if max_ending_here < 0:max_ending_here = 0
    return max_so_far                                    
                  
def divisors(n):
    result = []
    for i in range(1,ceil(sqrt(n))+1):
        if n%i == 0:
            if n/i == i:result.append(i)
            else:result.append(i);result.append(n/i)
    return result

def sumtilln(n): return ((n*(n+1))//2)

def isPrime(n) : 
	if (n <= 1) :return False
	if (n <= 3) :return True
	if (n % 2 == 0 or n % 3 == 0) :return False
	for i in range(5,ceil(sqrt(n))+1,6):
		if (n % i == 0 or n % (i + 2) == 0) :return False
	return True

def isPowerOf2(n):
    while n % 2 == 0:n //= 2
    return (True if n == 1 else False)

def power2(n):
    k = 0
    while n % 2 == 0:k += 1;n //= 2
    return k

def sqsum(n):return ((n*(n+1))*(2*n+1)//6)
    
def cusum(n):return ((sumn(n))**2)

def pa(a):
    for i in range(len(a)):print(a[i], end = " ")
    print()

def pm(a,rown,coln):
    for i in range(rown):
        for j in range(coln):print(a[i][j],end = " ")
        print()

def pmasstring(a,rown,coln):
    for i in range(rown):
        for j in range(coln):print(a[i][j],end = "")
        print()
        
def isPerfectSquare(n):return pow(floor(sqrt(n)),2) == n

def nC2(n,m):return (((n*(n-1))//2) % m)

def modInverse(n,p):return powermodulo(n,p-2,p)

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

def reverse(string):return "".join(reversed(string))        

def listtostr(s):return ' '.join([str(elem) for elem in s]) 

def binarySearch(arr, l, r, x): 
	while l <= r: 
		mid = l + (r - l) // 2; 
		if arr[mid] == x:return mid 
		elif arr[mid] < x:l = mid + 1
		else:r = mid - 1
	return -1

def isarrayodd(a):
    r = True
    for i in range(len(a)):
        if a[i] % 2 == 0:
            r = False
            break
    return r

def isPalindrome(s):return s == s[::-1] 

def gt(x,h,c,t):return ((x*h+(x-1)*c)/(2*x-1))

def CountFrequency(my_list): 
    freq = {} 
    for item in my_list:freq[item] = (freq[item] + 1 if (item in freq) else 1)
    return freq

def CountFrequencyasPair(my_list1,my_list2,freq): 
    for item in my_list1:freq[item][0] = (freq[item][0] + 1 if (item in freq) else 1)
    for item in my_list2:freq[item][1] = (freq[item][1] + 1 if (item in freq) else 1)     
    return freq 
 
def binarySearchCount(arr, n, key):   
    left = 0;right = n - 1;count = 0  
    while (left <= right):  
        mid = int((right + left) / 2) 
        if (arr[mid] <= key):count,left = mid + 1,mid + 1
        else:right = mid - 1      
    return count

def primes(n):
  sieve,l = [True] * (n+1),[]
  for p in range(2, n+1):
    if (sieve[p]):
      l.append(p)
      for i in range(p, n+1, p):sieve[i] = False
  return l

def Next_Greater_Element_for_all_in_array(arr): 
	s,n,reta,retb = list(),len(arr),[],[];arr1 = [list([0,i]) for i in range(n)]
	for i in range(n - 1, -1, -1): 
		while (len(s) > 0 and s[-1][0] <= arr[i]):s.pop() 
		if (len(s) == 0):arr1[i][0] = -1					
		else:arr1[i][0] = s[-1]	 
		s.append(list([arr[i],i]))		
	for i in range(n):reta.append(list([arr[i],i]));retb.append(arr1[i][0])
	return reta,retb

def polygonArea(X,Y,n):   
    area = 0.0;j = n - 1
    for i in range(n):area += (X[j] + X[i]) * (Y[j] - Y[i]);j = i   
    return abs(area / 2.0)
 
#defining a LRU Cache
# where we can set values and get values based on our requirement
class LRUCache: 
	# initialising capacity 
	def __init__(self, capacity: int): 
		self.cache = OrderedDict() 
		self.capacity = capacity 

	# we return the value of the key 
	# that is queried in O(1) and return -1 if we 
	# don't find the key in out dict / cache. 
	# And also move the key to the end 
	# to show that it was recently used. 
	def get(self, key: int) -> int: 
		if key not in self.cache:return -1
		else:self.cache.move_to_end(key);return self.cache[key] 

	# first, we add / update the key by conventional methods. 
	# And also move the key to the end to show that it was recently used. 
	# But here we will also check whether the length of our 
	# ordered dictionary has exceeded our capacity, 
	# If so we remove the first key (least recently used) 
	def put(self, key: int, value: int) -> None: 
		self.cache[key] = value;self.cache.move_to_end(key) 
		if len(self.cache) > self.capacity:self.cache.popitem(last = False)

class segtree:
    def __init__(self,n):
        self.m = 1
        while self.m < n:self.m *= 2
        self.data = [0] * (2 * self.m)
    def __setitem__(self,i,x):
        x = +(x != 1);i += self.m;self.data[i] = x;i >>= 1
        while i:self.data[i] = self.data[2 * i] + self.data[2 * i + 1];i >>= 1
    def __call__(self,l,r):
        l += self.m;r += self.m;s = 0
        while l < r:
            if l & 1:s += self.data[l];l += 1
            if r & 1:r -= 1;s += self.data[r]
            l >>= 1;r >>= 1
        return s        

class FenwickTree:
  def __init__(self, n):self.n = n;self.bit = [0]*(n+1)  
  def update(self, x, d):
    while x <= self.n:self.bit[x] += d;x += (x & (-x))  
  def query(self, x):
    res = 0
    while x > 0:res += self.bit[x];x -= (x & (-x))
    return res
  def range_query(self, l, r):return self.query(r) - self.query(l-1)        
# can add more template functions here
    
# end of template functions

# To enable the file I/O i the below 2 lines are uncommented.
# read from in.txt if uncommented
if os.path.exists('in.txt'): sys.stdin=open('in.txt','r')
# will print on Console if file I/O is not activated
if os.path.exists('out.txt'): sys.stdout=open('out.txt', 'w')

# inputs template
#for fast input we areusing sys.stdin
def inp(): return sys.stdin.readline().strip()

#for fast output, always take string
def out(var): sys.stdout.write(str(var))  

# cusom base input needed for the program
def I():return (inp())
def II():return (int(inp()))
def FI():return (float(inp()))
def SI():return (list(str(inp())))
def MI():return (map(int,inp().split()))
def LI():return (list(MI()))
def SLI():return (sorted(LI()))
def MF():return (map(float,inp().split()))
def LF():return (list(MF()))

# end of inputs template

# common modulo values used in competitive programming
MOD = 998244353
mod = 10**9+7

# any particular user-defined functions for the code.
# can be written here.  
def solve():
    n,m = MI()
    ss = []
    for _ in range(n):
        ss.append(list(I()) + ['#'])
    ss.append(['#']*(m+1))
    for i in range(n-1, -1, -1):
        for j in range(m-1, -1, -1):
            if ss[i+1][j] == '#' and ss[i][j+1] == '#' and (i,j) != (n-1, m-1):
                ss[i][j] = '#'
    res = [ss[0][0]]
    cend = {(0,0)}
    for _ in range(n+m-2):
        ncend = set()
        mn = 'z'
        for i,j in cend:
            if ss[i+1][j] != '#' and ss[i+1][j] <= mn:
                ncend.add((i+1, j))
                mn = ss[i+1][j]
            if ss[i][j+1] != '#' and ss[i][j+1] <= mn:
                ncend.add((i, j+1))
                mn = ss[i][j+1]
        res.append(mn)
        cend = {(i,j) for (i,j) in ncend if ss[i][j] == mn}

    print(''.join(res))
# end of any user-defined functions

# main functions for execution of the program.
def __starting_point():  
    # execute your program from here.
    # start your main code from here
        
    # Write your code here
    for _ in range(II()):solve()
                    
    # end of main code
    # end of program

# This program is written by :
#   Shubham Gupta
#   B.Tech (2019-2023)
#   Computer Science and Engineering,
#   Department of EECS
#   Contact No:8431624358
#   Indian Institute of Technology(IIT),Bhilai
#   Sejbahar,
#   Datrenga,
#   Raipur,
#   Chhattisgarh
#   492015

#   THANK YOU FOR 
#YOUR KIND PATIENCE FOR READING THE PROGRAM.    
__starting_point()

# import all important libraries and inbuilt functions

from fractions import Fraction
import numpy as np
import sys,bisect,copyreg,copy,statistics,os
from math import *
from collections import Counter,defaultdict,deque,OrderedDict   
from itertools import combinations,permutations,accumulate 
from numpy.linalg import matrix_power as mp
from bisect import bisect_left,bisect_right,bisect,insort,insort_left,insort_right
from statistics import mode
from functools import reduce,cmp_to_key 
from io import BytesIO, IOBase
from scipy.spatial import ConvexHull
from heapq import *
from decimal import *
from queue import Queue,PriorityQueue
from re import sub,subn

# end of library import

# map system version faults
if sys.version_info[0] < 3:
    from builtins import xrange as range
    from future_builtins import ascii, filter, hex, map, oct, zip

# template of many functions used in competitive programming can add more later 
# based on need we will use this commonly.

# bfs in a graph
def bfs(adj,v): # a schema of bfs
    visited=[False]*(v+1);q=deque()
    while q:pass

# definition of vertex of a graph
def graph(vertex): return [[] for i in range(vertex+1)]

def powermodulo(x, y, p) : 
    res = 1;x = x % p        
    if (x == 0) : return 0  
    while (y > 0) : 
        if ((y & 1) == 1) :   res = (res * x) % p 
        y = y >> 1 
        x = (x * x) % p           
    return res

def lcm(a,b): return (a*b)//gcd(a,b)

# most common list in a array of lists
def most_frequent(List):return Counter(List).most_common(1)[0][0]

# element with highest frequency
def most_common(List):return(mode(List))

#In number theory, the Chinese remainder theorem states that 
#if one knows the remainders of the Euclidean division of an integer n by 
#several integers, then one can determine uniquely the remainder of the 
#division of n by the product of these integers, under the condition 
#that the divisors are pairwise coprime.
def chinese_remainder(a, p):
    prod = reduce(op.mul, p, 1);x = [prod // pi for pi in p]
    return sum(a[i] * powermodulo(x[i], p[i] - 2, p[i]) * x[i] for i in range(len(a))) % prod

# make a matrix
def createMatrix(rowCount, colCount, dataList):   
    mat = []
    for i in range (rowCount):
        rowList = []
        for j in range (colCount):
            if dataList[j] not in mat:rowList.append(dataList[j])
        mat.append(rowList) 
    return mat

# input for a binary tree
def readTree(): 
    v=int(inp());adj=[set() for i in range(v+1)]
    for i in range(v-1):u1,u2=In(); adj[u1].add(u2);adj[u2].add(u1)
    return adj,v
    
# sieve of prime numbers    
def sieve():
    li=[True]*1000001;li[0],li[1]=False,False;prime=[]
    for i in range(2,len(li),1):
        if li[i]==True:
            for j in range(i*i,len(li),i):li[j]=False    
    for i in range(1000001):
        if li[i]==True:prime.append(i)
    return prime

#count setbits of a number.
def setBit(n):
    count=0
    while n!=0:n=n&(n-1);count+=1
    return count

# sum of digits of a number
def digitsSum(n):
    if n == 0:return 0
    r = 0
    while n > 0:r += n % 10;n //= 10
    return r

# ncr efficiently
def ncr(n, r):
    r = min(r, n - r);numer = reduce(op.mul, list(range(n, n - r, -1)), 1);denom = reduce(op.mul, list(range(1, r + 1)), 1)
    return numer // denom  # or / in Python 2

#factors of a number
def factors(n):return list(set(reduce(list.__add__, ([i, n // i] for i in range(1, int(n**0.5) + 1) if n % i == 0))))

#prime fators of a number
def prime_factors(n):
    i = 2;factors = []
    while i * i <= n:
        if n % i:i += 1
        else:n //= i;factors.append(i)
    if n > 1:factors.append(n)
    return len(set(factors))

def prefixSum(arr):
    for i in range(1, len(arr)):arr[i] = arr[i] + arr[i-1]
    return arr    

def binomial_coefficient(n, k):
    if 0 <= k <= n:
        ntok = 1;ktok = 1
        for t in range(1, min(k, n - k) + 1):ntok *= n;ktok *= t;n -= 1
        return ntok // ktok
    else:return 0
 
def powerOfK(k, max):
    if k == 1:return [1]
    if k == -1:return [-1, 1] 
    result = [];n = 1
    while n <= max:result.append(n);n *= k
    return result

# maximum subarray sum use kadane's algorithm
def kadane(a,size):
    max_so_far = 0;max_ending_here = 0 
    for i in range(0, size):
        max_ending_here = max_ending_here + a[i]
        if (max_so_far < max_ending_here):max_so_far = max_ending_here 
        if max_ending_here < 0:max_ending_here = 0
    return max_so_far                                    
                  
def divisors(n):
    result = []
    for i in range(1,ceil(sqrt(n))+1):
        if n%i == 0:
            if n/i == i:result.append(i)
            else:result.append(i);result.append(n/i)
    return result

def sumtilln(n): return ((n*(n+1))//2)

def isPrime(n) : 
	if (n <= 1) :return False
	if (n <= 3) :return True
	if (n % 2 == 0 or n % 3 == 0) :return False
	for i in range(5,ceil(sqrt(n))+1,6):
		if (n % i == 0 or n % (i + 2) == 0) :return False
	return True

def isPowerOf2(n):
    while n % 2 == 0:n //= 2
    return (True if n == 1 else False)

def power2(n):
    k = 0
    while n % 2 == 0:k += 1;n //= 2
    return k

def sqsum(n):return ((n*(n+1))*(2*n+1)//6)
    
def cusum(n):return ((sumn(n))**2)

def pa(a):
    for i in range(len(a)):print(a[i], end = " ")
    print()

def pm(a,rown,coln):
    for i in range(rown):
        for j in range(coln):print(a[i][j],end = " ")
        print()

def pmasstring(a,rown,coln):
    for i in range(rown):
        for j in range(coln):print(a[i][j],end = "")
        print()
        
def isPerfectSquare(n):return pow(floor(sqrt(n)),2) == n

def nC2(n,m):return (((n*(n-1))//2) % m)

def modInverse(n,p):return powermodulo(n,p-2,p)

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

def reverse(string):return "".join(reversed(string))        

def listtostr(s):return ' '.join([str(elem) for elem in s]) 

def binarySearch(arr, l, r, x): 
	while l <= r: 
		mid = l + (r - l) // 2; 
		if arr[mid] == x:return mid 
		elif arr[mid] < x:l = mid + 1
		else:r = mid - 1
	return -1

def isarrayodd(a):
    r = True
    for i in range(len(a)):
        if a[i] % 2 == 0:
            r = False
            break
    return r

def isPalindrome(s):return s == s[::-1] 

def gt(x,h,c,t):return ((x*h+(x-1)*c)/(2*x-1))

def CountFrequency(my_list): 
    freq = {} 
    for item in my_list:freq[item] = (freq[item] + 1 if (item in freq) else 1)
    return freq

def CountFrequencyasPair(my_list1,my_list2,freq): 
    for item in my_list1:freq[item][0] = (freq[item][0] + 1 if (item in freq) else 1)
    for item in my_list2:freq[item][1] = (freq[item][1] + 1 if (item in freq) else 1)     
    return freq 
 
def binarySearchCount(arr, n, key):   
    left = 0;right = n - 1;count = 0  
    while (left <= right):  
        mid = int((right + left) / 2) 
        if (arr[mid] <= key):count,left = mid + 1,mid + 1
        else:right = mid - 1      
    return count

def primes(n):
  sieve,l = [True] * (n+1),[]
  for p in range(2, n+1):
    if (sieve[p]):
      l.append(p)
      for i in range(p, n+1, p):sieve[i] = False
  return l

def Next_Greater_Element_for_all_in_array(arr): 
	s,n,reta,retb = list(),len(arr),[],[];arr1 = [list([0,i]) for i in range(n)]
	for i in range(n - 1, -1, -1): 
		while (len(s) > 0 and s[-1][0] <= arr[i]):s.pop() 
		if (len(s) == 0):arr1[i][0] = -1					
		else:arr1[i][0] = s[-1]	 
		s.append(list([arr[i],i]))		
	for i in range(n):reta.append(list([arr[i],i]));retb.append(arr1[i][0])
	return reta,retb

def polygonArea(X,Y,n):   
    area = 0.0;j = n - 1
    for i in range(n):area += (X[j] + X[i]) * (Y[j] - Y[i]);j = i   
    return abs(area / 2.0)
 
#defining a LRU Cache
# where we can set values and get values based on our requirement
class LRUCache: 
	# initialising capacity 
	def __init__(self, capacity: int): 
		self.cache = OrderedDict() 
		self.capacity = capacity 

	# we return the value of the key 
	# that is queried in O(1) and return -1 if we 
	# don't find the key in out dict / cache. 
	# And also move the key to the end 
	# to show that it was recently used. 
	def get(self, key: int) -> int: 
		if key not in self.cache:return -1
		else:self.cache.move_to_end(key);return self.cache[key] 

	# first, we add / update the key by conventional methods. 
	# And also move the key to the end to show that it was recently used. 
	# But here we will also check whether the length of our 
	# ordered dictionary has exceeded our capacity, 
	# If so we remove the first key (least recently used) 
	def put(self, key: int, value: int) -> None: 
		self.cache[key] = value;self.cache.move_to_end(key) 
		if len(self.cache) > self.capacity:self.cache.popitem(last = False)

class segtree:
    def __init__(self,n):
        self.m = 1
        while self.m < n:self.m *= 2
        self.data = [0] * (2 * self.m)
    def __setitem__(self,i,x):
        x = +(x != 1);i += self.m;self.data[i] = x;i >>= 1
        while i:self.data[i] = self.data[2 * i] + self.data[2 * i + 1];i >>= 1
    def __call__(self,l,r):
        l += self.m;r += self.m;s = 0
        while l < r:
            if l & 1:s += self.data[l];l += 1
            if r & 1:r -= 1;s += self.data[r]
            l >>= 1;r >>= 1
        return s        

class FenwickTree:
  def __init__(self, n):self.n = n;self.bit = [0]*(n+1)  
  def update(self, x, d):
    while x <= self.n:self.bit[x] += d;x += (x & (-x))  
  def query(self, x):
    res = 0
    while x > 0:res += self.bit[x];x -= (x & (-x))
    return res
  def range_query(self, l, r):return self.query(r) - self.query(l-1)        
# can add more template functions here
    
# end of template functions

# To enable the file I/O i the below 2 lines are uncommented.
# read from in.txt if uncommented
if os.path.exists('in.txt'): sys.stdin=open('in.txt','r')
# will print on Console if file I/O is not activated
#if os.path.exists('out.txt'): sys.stdout=open('out.txt', 'w')

# inputs template
#for fast input we areusing sys.stdin
def inp(): return sys.stdin.readline().strip()

#for fast output, always take string
def out(var): sys.stdout.write(str(var))  

# cusom base input needed for the program
def I():return (inp())
def II():return (int(inp()))
def FI():return (float(inp()))
def SI():return (list(str(inp())))
def MI():return (map(int,inp().split()))
def LI():return (list(MI()))
def SLI():return (sorted(LI()))
def MF():return (map(float,inp().split()))
def LF():return (list(MF()))

# end of inputs template

# common modulo values used in competitive programming
MOD = 998244353
mod = 10**9+7

# any particular user-defined functions for the code.
# can be written here.  
def solve():
    n,m = map(int, input().split())
    ss = []
    for _ in range(n):
        ss.append(list(eval(input())) + ['#'])
    ss.append(['#']*(m+1))
    for i in range(n-1, -1, -1):
        for j in range(m-1, -1, -1):
            if ss[i+1][j] == '#' and ss[i][j+1] == '#' and (i,j) != (n-1, m-1):
                ss[i][j] = '#'
    res = [ss[0][0]]
    cend = {(0,0)}
    len = 1
    for _ in range(n+m-2):
        ncend = set()
        mn = 'z'
        for i,j in cend:
            if ss[i+1][j] != '#' and ss[i+1][j] <= mn:
                ncend.add((i+1, j))
                mn = ss[i+1][j]
            if ss[i][j+1] != '#' and ss[i][j+1] <= mn:
                ncend.add((i, j+1))
                mn = ss[i][j+1]
        res.append(mn)
        cend = {(i,j) for (i,j) in ncend if ss[i][j] == mn}

    print(''.join(res))
# end of any user-defined functions

# main functions for execution of the program.
def __starting_point():  
    # execute your program from here.
    # start your main code from here
        
    # Write your code here
    for _ in range(II()):solve()
                    
    # end of main code
    # end of program

# This program is written by :
#   Shubham Gupta
#   B.Tech (2019-2023)
#   Computer Science and Engineering,
#   Department of EECS
#   Contact No:8431624358
#   Indian Institute of Technology(IIT),Bhilai
#   Sejbahar,
#   Datrenga,
#   Raipur,
#   Chhattisgarh
#   492015

#   THANK YOU FOR 
#YOUR KIND PATIENCE FOR READING THE PROGRAM.    
__starting_point()