import numpy as np
a, b, c = map(int,input().split())
arrA = np.array([input().split() for _ in range(a)],int)
arrB = np.array([input().split() for _ in range(b)],int)
print(np.concatenate((arrA, arrB), axis = 0))

import numpy as np
N, M, _ = [int(x) for x in raw_input().strip().split()]
a, b = map(lambda x: np.array([raw_input().strip().split() for i in xrange(int(x))], int), [N, M])
print np.concatenate((a, b), axis = 0)

import numpy as np
n,m,p=map(int,input().split())
lis=[]
for i in range(n+m):
    inp=input().split()
    lis.append(inp)
print(np.array(lis,int))

import numpy

inp = input()
inp=[int(x) for x in inp.split(" ")]
N=inp[0]    #1st matrix row
M=inp[1]    #2nd matrix row
P=inp[2]    #col

mat1=[]
mat2=[]
for i in range(N):
    row = list(map(int,input().split(" ")))
    
    mat1.append(row)

for i in range(M):
    row = list(map(int,input().split(" ")))
    
    mat2.append(row)

arry1 = numpy.array(mat1)
arry2 = numpy.array(mat2)
arry1=numpy.reshape(arry1,(N,P))
arry2=numpy.reshape(arry2,(M,P))
print(numpy.concatenate((arry1,arry2),axis=0))