Frodo was caught by Saruman. He tore a pouch from Frodo's neck, shook out its contents —there was a pile of different rings: gold and silver...

"How am I to tell which is the One?!" the mage howled.

"Throw them one by one into the Cracks of Doom and watch when Mordor falls!" 

Somewhere in a parallel Middle-earth, when Saruman caught Frodo, he only found n rings. And the i-th ring was either gold or silver. For convenience Saruman wrote down a binary string s of n characters, where the i-th character was 0 if the i-th ring was gold, and 1 if it was silver.

Saruman has a magic function f, which takes a binary string and returns a number obtained by converting the string into a binary number and then converting the binary number into a decimal number. For example, f(001010) = 10, f(111) = 7, f(11011101) = 221.

Saruman, however, thinks that the order of the rings plays some important role. He wants to find 2 pairs of integers (l_1, r_1), (l_2, r_2), such that:

  * 1 ≤ l_1 ≤ n, 1 ≤ r_1 ≤ n, r_1-l_1+1≥ ⌊ n/2 ⌋ 
  * 1 ≤ l_2 ≤ n, 1 ≤ r_2 ≤ n, r_2-l_2+1≥ ⌊ n/2 ⌋ 
  * Pairs (l_1, r_1) and (l_2, r_2) are distinct. That is, at least one of l_1 ≠ l_2 and r_1 ≠ r_2 must hold.
  * Let t be the substring s[l_1:r_1] of s, and w be the substring s[l_2:r_2] of s. Then there exists non-negative integer k, such that f(t) = f(w) ⋅ k.



Here substring s[l:r] denotes s_ls_{l+1}… s_{r-1}s_r, and ⌊ x ⌋ denotes rounding the number down to the nearest integer.

Help Saruman solve this problem! It is guaranteed that under the constraints of the problem at least one solution exists.

Input

Each test contains multiple test cases.

The first line contains one positive integer t (1 ≤ t ≤ 10^3), denoting the number of test cases. Description of the test cases follows.

The first line of each test case contains one positive integer n (2 ≤ n ≤ 2 ⋅ 10^4) — length of the string.

The second line of each test case contains a non-empty binary string of length n.

It is guaranteed that the sum of n over all test cases does not exceed 10^5.

Output

For every test case print four integers l_1, r_1, l_2, r_2, which denote the beginning of the first substring, the end of the first substring, the beginning of the second substring, and the end of the second substring, respectively.

If there are multiple solutions, print any.

Example

Input


7
6
101111
9
111000111
8
10000000
5
11011
6
001111
3
101
30
100000000000000100000000000000


Output


3 6 1 3
1 9 4 9
5 8 1 4
1 5 3 5
1 6 2 4
1 2 2 3
1 15 16 30

Note

In the first testcase f(t) = f(1111) = 15, f(w) = f(101) = 5.

In the second testcase f(t) = f(111000111) = 455, f(w) = f(000111) = 7.

In the third testcase f(t) = f(0000) = 0, f(w) = f(1000) = 8.

In the fourth testcase f(t) = f(11011) = 27, f(w) = f(011) = 3.

In the fifth testcase f(t) = f(001111) = 15, f(w) = f(011) = 3.
from math import gcd
from bisect import bisect_left, bisect_right
from itertools import combinations
from itertools import permutations
from bisect import bisect_left
from math import ceil
from heapq import heapify, heappush, heappop, nsmallest
import bisect
from math import pi
from collections import deque
from math import factorial
from math import log, ceil
from collections import defaultdict
from math import *
from sys import stdin, stdout
import itertools
import os
import sys
import threading
from collections import deque, Counter, OrderedDict, defaultdict
from heapq import *
# from math import ceil, floor, log, sqrt, factorial, pow, pi, gcd
# from bisect import bisect_left,bisect_right
# from decimal import *,threading
from fractions import Fraction
mod = int(pow(10, 9)+7)
# mod = 998244353


def ii(): return int(input())


def si(): return str(input())


def mi(): return map(int, input().split())


def li1(): return list(mi())


def fii(): return int(stdin.readline())


def fsi(): return str(stdin.readline())


def fmi(): return map(int, stdin.readline().split())


def fli(): return list(fmi())


abd = {'a': 0, 'b': 1, 'c': 2, 'd': 3, 'e': 4, 'f': 5, 'g': 6, 'h': 7, 'i': 8, 'j': 9, 'k': 10, 'l': 11, 'm': 12,
    'n': 13, 'o': 14, 'p': 15, 'q': 16, 'r': 17, 's': 18, 't': 19, 'u': 20, 'v': 21, 'w': 22, 'x': 23, 'y': 24,
    'z': 25}


def getKey(item): return item[0]


def sort2(l): return sorted(l, key=getKey)


def d2(n, m, num): return [[num for x in range(m)] for y in range(n)]


def isPowerOfTwo(x): return (x and (not (x & (x - 1))))


def decimalToBinary(n): return bin(n).replace("0b", "")


def ntl(n): return [int(i) for i in str(n)]


def powerMod(x, y, p):
    res = 1
    x %= p
    while y > 0:
        if y & 1:
            res = (res * x) % p
        y = y >> 1
        x = (x * x) % p
    return res


graph = defaultdict(list)
visited = [0] * 1000000
col = [-1] * 1000000


def bfs(d, v):
    q = []
    q.append(v)
    visited[v] = 1
    while len(q) != 0:
        x = q[0]
        q.pop(0)
        for i in d[x]:
            if visited[i] != 1:
                visited[i] = 1
                q.append(i)
        print(x)


def make_graph(e):
    d = {}
    for i in range(e):
        x, y = mi()
        if x not in d:
            d[x] = [y]
        else:
            d[x].append(y)
        if y not in d:
            d[y] = [x]
        else:
            d[y].append(x)
    return d


def gr2(n):
    d = defaultdict(list)
    for i in range(n):
        x, y = mi()
        d[x].append(y)
    return d


def connected_components(graph):
    seen = set()

    def dfs(v):
        vs = set([v])
        component = []
        while vs:
            v = vs.pop()
            seen.add(v)
            vs |= set(graph[v]) - seen
            component.append(v)
        return component

    ans = []
    for v in graph:
        if v not in seen:
            d = dfs(v)
            ans.append(d)
    return ans


def primeFactors(n):
    s = set()
    while n % 2 == 0:
        s.add(2)
        n = n // 2
    for i in range(3, int(sqrt(n)) + 1, 2):
        while n % i == 0 and i % 2 == 1:
            s.add(i)
            n = n // i
    if n > 2 and n % 2 == 1:
        s.add(n)
    return s


def find_all(a_str, sub):
    start = 0
    while True:
        start = a_str.find(sub, start)
        if start == -1:
            return
        yield start
        start += len(sub)


def SieveOfEratosthenes(n, isPrime):
    isPrime[0] = isPrime[1] = False
    for i in range(2, n):
        isPrime[i] = True
    p = 2
    while (p * p <= n):
        if (isPrime[p] == True):
            i = p * p
            while (i <= n):
                isPrime[i] = False
                i += p
        p += 1
    return isPrime


def dijkstra(edges, f, t):
    g = defaultdict(list)
    for l, r, c in edges:
        g[l].append((c, r))

    q, seen, mins = [(0, f, ())], set(), {f: 0}
    while q:
        (cost, v1, path) = heappop(q)
        if v1 not in seen:
            seen.add(v1)
            path = (v1, path)
            if v1 == t:
                return (cost, path)

            for c, v2 in g.get(v1, ()):
                if v2 in seen:
                    continue
                prev = mins.get(v2, None)
                next = cost + c
                if prev is None or next < prev:
                    mins[v2] = next
                    heappush(q, (next, v2, path))
    return float("inf")


def binsearch(a, l, r, x):
    while l <= r:
        mid = l + (r-1)//2
        if a[mid]:
            return mid
        elif a[mid] > x:
            l = mid-1
        else:
            r = mid+1
    return -1


# def input():
#    return stdin.buffer.readline()


def readTree(n):
    adj = [set() for _ in range(n)]
    for _ in range(n-1):
        u, v = map(int, input().split())
        adj[u-1].add(v-1)
        adj[v-1].add(u-1)
    return adj


def treeOrderByDepth(n, adj, root=0):
    parent = [-2] + [-1]*(n-1)
    ordered = []
    q = deque()
    q.append(root)
    depth = [0] * n
    while q:
        c = q.popleft()
        ordered.append(c)
        for a in adj[c]:
            if parent[a] == -1:
                parent[a] = c
                depth[a] = depth[c] + 1
                q.append(a)
    return (ordered, parent, depth)


def isSubSequence(str1, str2):
    m = len(str1)
    n = len(str2)
    j = 0
    i = 0
    while j < m and i < n:
        if str1[j] == str2[i]:
            j = j+1
        i = i + 1
    return j == m


def nextPowerOf2(n):
    count = 0
    if (n and not(n & (n - 1))):
        return n
    while(n != 0):
        n >>= 1
        count += 1
    return 1 << count


def lastPowerOf2(n):
    count = -1
    if (n and not(n & (n - 1))):
        return n
    while(n != 0):
        n >>= 1
        count += 1
    return 1 << count


def cou(n):
    c = 0
    while n > 1:
        c += 1
        n //= 2
    return c


def sortsec(l):
    return sorted(l, key=lambda x: x[1])


def BinarySearch(a, x):
    i = bisect_left(a, x)
    if i:
        return (i-1)
    else:
        return - 1


def subarray(A):
    r = set()

    p = {0}

    for x in A:
        p = {x | y for y in p} | {x}
        r |= p

    return len(r)


def setBitNumber(n):
    n |= n >> 1
    n |= n >> 2
    n |= n >> 4
    n |= n >> 8
    n |= n >> 16
    n = n + 1
    return (n >> 1)


def countSetBits(n):
    count = 0
    while (n):
        count += n & 1
        n >>= 1
    return count


def allsub(l):
    n = len(l)
    a = []
    for i in range(n - 1):
        a.append([l[:i], l[i:]])
        a.append([l[i:], l[:i]])
    return a


def closestMultiple(n, x):
    if x > n:
        return x
    z = (int)(x / 2)
    n = n + z
    n = n - (n % x)
    return n


def block(x):
    v = []
    res = []
    while (x > 0):
        v.append(int(x % 2))
        x = int(x / 2)
    for i in range(0, len(v)):
        if (v[i] == 1):
            res.append(i)
    return res
    
for _ in range(ii()):
    n=ii()
    p=0
    s=si()
    for i in range(1,n+1):
        if s[i-1] == '0':
            if i<=n//2:
                print(i,i+n//2,i+1,i+n//2)
                p=1
                break
            else:
                print(i-n//2,i,i-n//2,i-1)
                p=1
                break
    if p==0:
        print(1,n-1,2,n)