Problem: Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements.

Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers.

Input

The input consists of multiple test cases. The first line contains an integer t (1 ≤ t ≤ 50) — the number of test cases.

The first line of each test case contains two integers n and k (1 ≤ k ≤ n ≤ 100).

The second line of each test case contains n space-separated integers (1 ≤ a_i ≤ n) — the array that Phoenix currently has. This array may or may not be already beautiful.

Output

For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines.

The first line should contain the length of the beautiful array m (n ≤ m ≤ 10^4). You don't need to minimize m.

The second line should contain m space-separated integers (1 ≤ b_i ≤ n) — a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a.

If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4.

Example

Input


4
4 2
1 2 2 1
4 3
1 2 2 1
3 2
1 2 3
4 4
4 3 4 2


Output


5
1 2 1 2 1
4
1 2 2 1
-1
7
4 3 2 1 4 3 2

Note

In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: 

  * 2, 1, 2, 1, 2, 1 
  * 1, 2, 1, 2, 1, 2 



In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5.

In the third test case, it can be shown that we cannot insert numbers to make array a beautiful.

In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.

Solution (in PYTHON3):

Solution:
'''

Windows
If you don't already have Python 2.7 or 3.4 installed (32-bit), we recommend installing Azure SDK for Python 2.7 or Azure SDK for Python 3.4 using Web Platform Installer. This installs the 32-bit version of Python, setuptools, pip, virtualenv, etc (32-bit Python is what's installed on the Azure host machines). Alternatively, you can get Python from python.org.

For Git, we recommend Git for Windows or GitHub for Windows. If you use Visual Studio, you can use the integrated Git support.

We also recommend installing Python Tools 2.2 for Visual Studio. This is optional, but if you have Visual Studio, including the free Visual Studio Community 2013 or Visual Studio Express 2013 for Web, then this will give you a great Python IDE.

Mac/Linux
You should have Python and Git already installed, but make sure you have either Python 2.7 or 3.4.


*/
//Lannisters Don't Act Like Fools
/*
Windows
If you don't already have Python 2.7 or 3.4 installed (32-bit), we recommend installing Azure SDK for Python 2.7 or Azure SDK for Python 3.4 using Web Platform Installer. This installs the 32-bit version of Python, setuptools, pip, virtualenv, etc (32-bit Python is what's installed on the Azure host machines). Alternatively, you can get Python from python.org.

For Git, we recommend Git for Windows or GitHub for Windows. If you use Visual Studio, you can use the integrated Git support.

We also recommend installing Python Tool


'''
#In the Name of God
from collections import OrderedDict 
t = int(input())
 
for _ in range(t):
	z = input().split()
	n = int(z[0])
	k = int(z[1])
	z = input().split()
	arr = [int(a) for a in z]
	dict1 = OrderedDict() 
	for i in range(len(arr)):
		if arr[i] not in dict1:
			dict1[arr[i]] = 1
	if(len(dict1.keys()) > k):
		print(-1)
	else:
		m = len(dict1.keys())
		i = 1
		while(m != k):
			if i not in dict1:
				dict1[i] = 1
				m += 1
			i += 1
		dict2 = {}
		for i in range(len(arr)):
			if arr[i] not in dict2:
				dict2[arr[i]] = 1
			else:
				dict2[arr[i]] += 1
		x = max(dict2.values())
		print(n*len(dict1.keys()))
		s = ""
		for i in range(n):
			for j in list(dict1.keys()):
				s += str(j)+" "
		print(s)