Problem: One day Igor K. stopped programming and took up math. One late autumn evening he was sitting at a table reading a book and thinking about something. 

The following statement caught his attention: "Among any six people there are either three pairwise acquainted people or three pairwise unacquainted people"

Igor just couldn't get why the required minimum is 6 people. "Well, that's the same for five people, too!" — he kept on repeating in his mind. — "Let's take, say, Max, Ilya, Vova — here, they all know each other! And now let's add Dima and Oleg to Vova — none of them is acquainted with each other! Now, that math is just rubbish!"

Igor K. took 5 friends of his and wrote down who of them is friends with whom. Now he wants to check whether it is true for the five people that among them there are either three pairwise acquainted or three pairwise not acquainted people.

Input

The first line contains an integer m (0 ≤ m ≤ 10), which is the number of relations of acquaintances among the five friends of Igor's.

Each of the following m lines contains two integers ai and bi (1 ≤ ai, bi ≤ 5;ai ≠ bi), where (ai, bi) is a pair of acquainted people. It is guaranteed that each pair of the acquaintances is described exactly once. The acquaintance relation is symmetrical, i.e. if x is acquainted with y, then y is also acquainted with x.

Output

Print "FAIL", if among those five people there are no either three pairwise acquainted or three pairwise unacquainted people. Otherwise print "WIN".

Examples

Input

4
1 3
2 3
1 4
5 3


Output

WIN


Input

5
1 2
2 3
3 4
4 5
5 1


Output

FAIL

Solution (in PYTHON3):

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


def ocycle(x):
    if x[0] in g.gdict[x[1]] and x[2] in g.gdict[x[1]] and x[0] in g.gdict[x[2]]:
        return True
    return False


def ouncycle(x):
    if x[0] not in g.gdict[x[1]] and x[2] not in g.gdict[x[1]] and x[0] not in g.gdict[x[2]]:
        return True
    return False

class graph:
    # initialize graph
    def __init__(self, gdict=None):
        if gdict is None:
            gdict = defaultdict(list)
        self.gdict = gdict

    # get edges
    def edges(self):
        return self.find_edges()

    # find edges
    def find_edges(self):
        edges = []
        for node in self.gdict:
            for nxNode in self.gdict[node]:
                if {nxNode, node} not in edges:
                    edges.append({node, nxNode})
        return edges

    # Get verticies
    def get_vertices(self):
        return list(self.gdict.keys())

    # add vertix
    def add_vertix(self, node):
        if node not in self.gdict:
            self.gdict[node] = []

    # add edge
    def add_edge(self, node1, node2):
        self.gdict[node1].append(node2)
        self.gdict[node2].append(node1)


from sys import *
from collections import *
from itertools import *

g, com = graph(), list(combinations([i for i in range(1, 6)], 3))
for i in range(int(input())):
    u, v = inp()
    g.add_edge(u, v)

# print(g.gdict, com)
for i in com:
    if ocycle(i) or ouncycle(i):
        exit(print('WIN'))

print('FAIL')