Let's define $$$f(x)$$$ for a positive integer $$$x$$$ as the length of the base-10 representation of $$$x$$$ without leading zeros. I like to call it a digital logarithm. Similar to a digital root, if you are familiar with that.
You are given two arrays $$$a$$$ and $$$b$$$, each containing $$$n$$$ positive integers. In one operation, you do the following:
Two arrays are considered similar to each other if you can rearrange the elements in both of them, so that they are equal (e. g. $$$a_i = b_i$$$ for all $$$i$$$ from $$$1$$$ to $$$n$$$).
What's the smallest number of operations required to make $$$a$$$ and $$$b$$$ similar to each other?
The first line contains a single integer $$$t$$$ ($$$1 \le t \le 10^4$$$) — the number of testcases.
The first line of the testcase contains a single integer $$$n$$$ ($$$1 \le n \le 2 \cdot 10^5$$$) — the number of elements in each of the arrays.
The second line contains $$$n$$$ integers $$$a_1, a_2, \dots, a_n$$$ ($$$1 \le a_i < 10^9$$$).
The third line contains $$$n$$$ integers $$$b_1, b_2, \dots, b_n$$$ ($$$1 \le b_j < 10^9$$$).
The sum of $$$n$$$ over all testcases doesn't exceed $$$2 \cdot 10^5$$$.
For each testcase, print the smallest number of operations required to make $$$a$$$ and $$$b$$$ similar to each other.
411100041 2 3 43 1 4 232 9 31 100 91075019 709259 5 611271314 9024533 81871864 9 3 6 48659503 2 371245467 6 7 37376159 8 364036498 52295554 169
2 0 2 18
In the first testcase, you can apply the digital logarithm to $$$b_1$$$ twice.
In the second testcase, the arrays are already similar to each other.
In the third testcase, you can first apply the digital logarithm to $$$a_1$$$, then to $$$b_2$$$.
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