The next "Data Structures and Algorithms" lesson will be about Longest Increasing Subsequence (LIS for short) of a sequence. For better understanding, Nam decided to learn it a few days before the lesson.
Nam created a sequence a consisting of n (1≤n≤105) elements a1,a2,...,an (1≤ai≤105). A subsequence ai1,ai2,...,aik where 1≤i1<i2<...<ik≤n is called increasing if ai1<ai2<ai3<...<aik. An increasing subsequence is called longest if it has maximum length among all increasing subsequences.
Nam realizes that a sequence may have several longest increasing subsequences. Hence, he divides all indexes i (1≤i≤n), into three groups:
Since the number of longest increasing subsequences of a may be very large, categorizing process is very difficult. Your task is to help him finish this job.
The first line contains the single integer n (1≤n≤105) denoting the number of elements of sequence a.
The second line contains n space-separated integers a1,a2,...,an (1≤ai≤105).
Print a string consisting of n characters. i-th character should be '1', '2' or '3' depending on which group among listed above index i belongs to.
1
4
3
4
1 3 2 5
3223
4
1 5 2 3
3133
In the second sample, sequence a consists of 4 elements: {a1,a2,a3,a4} = {1,3,2,5}. Sequence a has exactly 2 longest increasing subsequences of length 3, they are {a1,a2,a4} = {1,3,5} and {a1,a3,a4} = {1,2,5}.
In the third sample, sequence a consists of 4 elements: {a1,a2,a3,a4} = {1,5,2,3}. Sequence a have exactly 1 longest increasing subsequence of length 3, that is {a1,a3,a4} = {1,2,3}.