Given two arrays, find length of the longest common increasing subsequence (LCIS). For example length of LCIS for **A[]** = {3, 4, 9, 1} and **B[]** = {5, 3, 8, 9, 10, 2, 1} is 2 ( The subsequence {3, 9} is the longest subsequence that is both common and increasing. As another example LCIS for **A[]** = {1, 1, 4, 3} and **B[]** = {1, 1, 3, 4} is 2 (There are two subsequences {1, 4} and {1, 3}).

**Input:**

The first line of input contains an integer **T** denoting the number of test cases. Then **T** test cases follow.

The first line of each test case contains an integer '**a'**, where '**a' **is the size of the array **A[ ]**.

The second line of each test case contains '**a'** space separted integers denoting the array elements **A[0] ... A[a-1] **

The third line of each test case contains an integer '**b'**, where '**b'** is the size of the array **B[]**.

The next line below it contains the value of the array elements **B[0]**..**B[b-1]** separated by space.

**Output:**

For each test case output a single line containing the** length **of the** longest common increasing subsequnce **of the two array **A[]** and **B[]**

Remember to output the answer of each test case in a new line.

**Constraints:**

1<=**T**<=100

1<=**a**<=50

1<=**b**<=50

1<=**A[i]**<=100

1<=**B[i]**<=100

**Example:
Input:**

1

4

3 4 9 1

7

5 3 8 9 10 2 1

2

Here we have 2 arrays

A[] = {3, 4, 9, 1} and

B[] = {5, 3, 8, 9, 10, 2, 1}

of these the longest common increasing subsequence is {3,9} and its length is 2.

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