Professor Abacus has just built a new computing engine for making numerical tables. It was designed to calculate the values of a polynomial function in one variable at several points at a time. With the polynomial function f(x) = x2 + 2x + 1, for instance, a possible expected calculation result is 1 (= f(0)), 4 (= f(1)), 9 (= f(2)), 16 (= f(3)), and 25 (= f(4)).

It is a pity, however, the engine seemingly has faulty components and exactly one value among those calculated simultaneously is always wrong. With the same polynomial function as above, it can, for instance, output 1, 4, 12, 16, and 25 instead of 1, 4, 9, 16, and 25.

You are requested to help the professor identify the faulty components. As the first step, you should write a program that scans calculation results of the engine and finds the wrong values.



Input

The input is a sequence of datasets, each representing a calculation result in the following format.

d
v0
v1
...
vd+2


Here, d in the first line is a positive integer that represents the degree of the polynomial, namely, the highest exponent of the variable. For instance, the degree of 4x5 + 3x + 0.5 is five and that of 2.4x + 3.8 is one. d is at most five.

The following d + 3 lines contain the calculation result of f(0), f(1), ... , and f(d + 2) in this order, where f is the polynomial function. Each of the lines contains a decimal fraction between -100.0 and 100.0, exclusive.

You can assume that the wrong value, which is exactly one of f(0), f(1), ... , and f(d+2), has an error greater than 1.0. Since rounding errors are inevitable, the other values may also have errors but they are small and never exceed 10-6.

The end of the input is indicated by a line containing a zero.

Output

For each dataset, output i in a line when vi is wrong.

Example

Input

2
1.0
4.0
12.0
16.0
25.0
1
-30.5893962764
5.76397083962
39.3853798058
74.3727663177
4
42.4715310246
79.5420238202
28.0282396675
-30.3627807522
-49.8363481393
-25.5101480106
7.58575761381
5
-21.9161699038
-48.469304271
-24.3188578417
-2.35085940324
-9.70239202086
-47.2709510623
-93.5066246072
-82.5073836498
0


Output

2
1
1
6

Difficulty: UNKNOWN_DIFFICULTY

Solutions:
from itertools import combinations

def build(X, Y):
	A = []
	for x in X:
		res = 1
		for xi in X:
			if x == xi:
				continue
			res *= x - xi
		A.append(Y[x] / res)
	return A

def calc(X, A, x):
	base = 1
	for xi in X:
		base *= i - xi
	return sum((base / (i - x) * a for (x, a) in zip(X, A)))
while 1:
	d = int(input())
	if d == 0:
		break
	N = d + 3
	Y = [float(input()) for i in range(N)]
	cnts = [0] * N
	for X in combinations(range(N), d + 1):
		U = [0] * N
		for x in X:
			U[x] = 1
		A = build(X, Y)
		for i in range(N):
			if U[i]:
				continue
			res = calc(X, A, i)
			if abs(Y[i] - res) > 0.5:
				cnts[i] += 1
	print(cnts.index(max(cnts)))


import math, string, itertools, fractions, heapq, collections, re, array, bisect, sys, random, time, copy, functools
sys.setrecursionlimit(10 ** 7)
inf = 10 ** 20
eps = 1.0 / 10 ** 13
mod = 10 ** 9 + 7
dd = [(-1, 0), (0, 1), (1, 0), (0, -1)]
ddn = [(-1, 0), (-1, 1), (0, 1), (1, 1), (1, 0), (1, -1), (0, -1), (-1, -1)]

def LI():
	return [int(x) for x in sys.stdin.readline().split()]

def LI_():
	return [int(x) - 1 for x in sys.stdin.readline().split()]

def LF():
	return [float(x) for x in sys.stdin.readline().split()]

def LS():
	return sys.stdin.readline().split()

def I():
	return int(sys.stdin.readline())

def F():
	return float(sys.stdin.readline())

def S():
	return input()

def pf(s):
	return print(s, flush=True)

def main():
	rr = []

	def f(n):
		a = [F() for _ in range(n + 3)]
		kd = {}
		for i in range(n + 3):
			k = [i ** c for c in range(n, -1, -1)]
			kd[i,] = [a[i], k]
		for _ in range(n):
			nd = {}
			kl = sorted(list(kd.keys()))
			for i in range(len(kl)):
				k1 = kl[i]
				t1 = kd[k1]
				if t1[-1][-1] == 0:
					nd[k1] = [t1[0], t1[1][:-1]]
					continue
				for j in range(i + 1, len(kl)):
					k2 = kl[j]
					sf = 0
					for c in k1:
						if c not in k2:
							sf += 1
					if sf != 1:
						continue
					t2 = kd[k2]
					if t2[-1][-1] == 0:
						continue
					w = t2[-1][-1] / t1[-1][-1]
					mt = t2[0] - t1[0] * w
					ma = [c2 - c1 * w for (c1, c2) in zip(t1[-1][:-1], t2[-1][:-1])]
					mk = tuple(sorted(set(k1) | set(k2)))
					nd[mk] = [mt, ma]
			kd = nd
		msa = inf
		msi = -1
		kl = sorted(list(kd.keys()))
		for i in range(n + 3):
			mi = inf
			ma = -inf
			for k in kl:
				if i in k or abs(kd[k][1][0]) < eps:
					continue
				t = kd[k][0] / kd[k][1][0]
				if mi > t:
					mi = t
				if ma < t:
					ma = t
			sa = ma - mi
			if msa > sa:
				msa = sa
				msi = i
		return msi
	while 1:
		n = I()
		if n == 0:
			break
		rr.append(f(n))
	return '\n'.join(map(str, rr))
print(main())


from functools import reduce
EPSILON = 1e-05
d = 0
Vs = []
times = lambda x, y: x * y

def interpolate(x, e):
	return sum((reduce(times, [(x - j) / (i - j) for j in range(len(Vs)) if j not in [i, x, e]]) * v for (i, v) in enumerate(Vs) if i not in [x, e]))

def outlier(e):
	for (i, v) in enumerate(Vs):
		if i == e:
			continue
		if abs(interpolate(i, e) - v) < EPSILON:
			return False
	return True

def solve():
	for i in range(d + 3):
		if not outlier(i):
			return i
	return -1
while True:
	d = int(input())
	if d == 0:
		break
	Vs = [float(input()) for i in range(d + 3)]
	print(solve())