Recently, you found a bot to play "Rock paper scissors" with. Unfortunately, the bot uses quite a simple algorithm to play: he has a string s = s_1 s_2 ... s_{n} of length n where each letter is either R, S or P.

While initializing, the bot is choosing a starting index pos (1 ≤ pos ≤ n), and then it can play any number of rounds. In the first round, he chooses "Rock", "Scissors" or "Paper" based on the value of s_{pos}: 

  * if s_{pos} is equal to R the bot chooses "Rock"; 
  * if s_{pos} is equal to S the bot chooses "Scissors"; 
  * if s_{pos} is equal to P the bot chooses "Paper"; 



In the second round, the bot's choice is based on the value of s_{pos + 1}. In the third round — on s_{pos + 2} and so on. After s_n the bot returns to s_1 and continues his game.

You plan to play n rounds and you've already figured out the string s but still don't know what is the starting index pos. But since the bot's tactic is so boring, you've decided to find n choices to each round to maximize the average number of wins.

In other words, let's suggest your choices are c_1 c_2 ... c_n and if the bot starts from index pos then you'll win in win(pos) rounds. Find c_1 c_2 ... c_n such that (win(1) + win(2) + ... + win(n))/(n) is maximum possible.

Input

The first line contains a single integer t (1 ≤ t ≤ 1000) — the number of test cases.

Next t lines contain test cases — one per line. The first and only line of each test case contains string s = s_1 s_2 ... s_{n} (1 ≤ n ≤ 2 ⋅ 10^5; s_i ∈ \{R, S, P\}) — the string of the bot.

It's guaranteed that the total length of all strings in one test doesn't exceed 2 ⋅ 10^5.

Output

For each test case, print n choices c_1 c_2 ... c_n to maximize the average number of wins. Print them in the same manner as the string s.

If there are multiple optimal answers, print any of them.

Example

Input


3
RRRR
RSP
S


Output


PPPP
RSP
R

Note

In the first test case, the bot (wherever it starts) will always choose "Rock", so we can always choose "Paper". So, in any case, we will win all n = 4 rounds, so the average is also equal to 4.

In the second test case: 

  * if bot will start from pos = 1, then (s_1, c_1) is draw, (s_2, c_2) is draw and (s_3, c_3) is draw, so win(1) = 0; 
  * if bot will start from pos = 2, then (s_2, c_1) is win, (s_3, c_2) is win and (s_1, c_3) is win, so win(2) = 3; 
  * if bot will start from pos = 3, then (s_3, c_1) is lose, (s_1, c_2) is lose and (s_2, c_3) is lose, so win(3) = 0; 

The average is equal to (0 + 3 + 0)/(3) = 1 and it can be proven that it's the maximum possible average.

A picture from Wikipedia explaining "Rock paper scissors" game: 

<image>
import sys,bisect,string,math,time,functools,random,fractions
from heapq import heappush,heappop,heapify
from collections import deque,defaultdict,Counter
from itertools import permutations,combinations,groupby
rep=range
def Golf():n,*t=map(int,open(0).read().split())
def I():return int(input())
def S_():return input()
def IS():return input().split()
def LS():return [i for i in input().split()]
def MI():return map(int,input().split())
def LI():return [int(i) for i in input().split()]
def LI_():return [int(i)-1 for i in input().split()]
def NI(n):return [int(input()) for i in range(n)]
def NI_(n):return [int(input())-1 for i in range(n)]
def StoLI():return [ord(i)-97 for i in input()]
def ItoS(n):return chr(n+97)
def LtoS(ls):return ''.join([chr(i+97) for i in ls])
def RA():return map(int,open(0).read().split())
def GI(V,E,ls=None,Directed=False,index=1):
    org_inp=[];g=[[] for i in R(V)]
    FromStdin=True if ls==None else False
    for i in R(E):
        if FromStdin:
            inp=LI()
            org_inp.append(inp)
        else:
            inp=ls[i]
        if len(inp)==2:
            a,b=inp;c=1
        else:
            a,b,c=inp
        if index==1:a-=1;b-=1
        aa=(a,c);bb=(b,c);g[a].append(bb)
        if not Directed:g[b].append(aa)
    return g,org_inp
def GGI(h,w,search=None,replacement_of_found='.',mp_def={'#':1,'.':0},boundary=1):
    #h,w,g,sg=GGI(h,w,search=['S','G'],replacement_of_found='.',mp_def={'#':1,'.':0},boundary=1) # sample usage
    mp=[boundary]*(w+2);found={}
    for i in R(h):
        s=input()
        for char in search:
            if char in s:
                found[char]=((i+1)*(w+2)+s.index(char)+1)
                mp_def[char]=mp_def[replacement_of_found]
        mp+=[boundary]+[mp_def[j] for j in s]+[boundary]
    mp+=[boundary]*(w+2)
    return h+2,w+2,mp,found
def TI(n):return GI(n,n-1)
def accum(ls):
    rt=[0]
    for i in ls:rt+=[rt[-1]+i]
    return rt
def bit_combination(n,base=2):
    rt=[]
    for tb in R(base**n):s=[tb//(base**bt)%base for bt in R(n)];rt+=[s]
    return rt
def gcd(x,y):
    if y==0:return x
    if x%y==0:return y
    while x%y!=0:x,y=y,x%y
    return y
def YN(x):print(['NO','YES'][x])
def Yn(x):print(['No','Yes'][x])
def show(*inp,end='\n'):
    if show_flg:print(*inp,end=end)

mo=10**9+7
inf=float('inf')
FourNb=[(-1,0),(1,0),(0,1),(0,-1)];EightNb=[(-1,0),(1,0),(0,1),(0,-1),(1,1),(-1,-1),(1,-1),(-1,1)];compas=dict(zip('WENS',FourNb));cursol=dict(zip('LRUD',FourNb))
l_alp=string.ascii_lowercase
#sys.setrecursionlimit(10**7)
read=sys.stdin.buffer.read;readline=sys.stdin.buffer.readline;input=lambda:sys.stdin.readline().rstrip()



class matrix:
    class MulShapeError(Exception):
        "mult is not applicable between the two matrices given"
        pass

    def __init__(self,arr_input):
        if hasattr(arr_input[0],"__getitem__"):
            self.arr=arr_input
        else:
            self.arr=[arr_input]
        self.shape=(len(self.arr),len(self.arr[0]))

    def __getitem__(self,key):
        return self.arr[key]

    def __setitem__(self,key,value):
        self.arr[key]=value

    def __iter__(self):
        return iter(self.arr)
        
    def __add__(self,B):
        if type(B)!=matrix:
            return NotImplemented
        if B.shape!=self.shape:
            return NotImplemented
        rt=[[0]*self.shape[1] for i in range(self.shape[0])]
        for i in range(self.shape[0]):
            for j in range(self.shape[1]):
                rt[i][j]=self.arr[i][j]+B.arr[i][j]
        return matrix(rt)

    def __iadd__(self,B):
        return self.__add__(B)

    def __sub__(self,B):
        if type(B)!=matrix:
            return NotImplemented
        if B.shape!=self.shape:
            return NotImplemented
        rt=[[0]*self.shape[1] for i in range(self.shape[0])]
        for i in range(self.shape[0]):
            for j in range(self.shape[1]):
                rt[i][j]=self.arr[i][j]-B.arr[i][j]
        return matrix(rt)

    def __isub__(self,B):
        return self.__sub__(B)

    def __mul__(self,M):
        if type(M) in [int,float,complex]:
            M=matrix([[M*(i==j) for j in range(self.shape[1])] for i in range(self.shape[1])])
        if type(M)!=matrix:
            return NotImplemented
        if M.shape[0]!=self.shape[1]:
            raise matrix.MulShapeError("mult is not applicable between the matrices of shape "+str(self.shape)+" and "+str(M.shape))
        ra,ca=self.shape
        rb,cb=M.shape
        c=[[0]*cb for i in range(ra)]
        for i in range(ra):
            for j in range(cb):
                for k in range(ca):
                    c[i][j]+=self.arr[i][k]*M.arr[k][j]
        return matrix(c)

    def __imul__(self,M):
        return self.__mul__(M)

    def __rmul__(self,M):
        if type(M) in [int,float,complex]:
            M=matrix([[M*(i==j) for j in range(self.shape[1])] for i in range(self.shape[1])])
        if type(M)!=matrix:
            return NotImplemented
        if M.shape[0]!=self.shape[1]:
            raise matrix.MulShapeError("mult is not applicable between the matrix shape "+str(self.shape)+" and "+str(M.shape))
        ra,ca=M.shape
        rb,cb=self.shape
        c=[[0]*cb for i in range(ra)]
        for i in range(ra):
            for j in range(cb):
                for k in range(ca):
                    c[i][j]+=M.arr[i][k]*self.arr[k][j]
        return matrix(c)

    def __mod__(self,p):
        if type(p)!=int:
            return NotImplemented
        c=[[0]*self.shape[1] for i in range(self.shape[0])]
        for i in range(self.shape[0]):
            for j in range(self.shape[1]):
                c[i][j]=self.arr[i][j]%p
        return matrix(c)

    def __imod__(self,p):
        return self.__mod__(p)

    def __pow__(self,p,mod=10**9+7):
        if type(p)!=int or self.shape[0]!=self.shape[1]:
            return NotImplemented
        A=matrix(self.arr)
        R=matrix([[1*(i==j) for j in range(self.shape[0])] for i in range(self.shape[0])])
        while p>0:
            if p&1:
                R*=A
                R%=mod
            A*=A
            A%=mod
            p>>=1
        return R

    def __neg__(self):
        return self.__mul__(-1)

    def __str__(self):
        rt='['
        for i in self.arr:
            rt=rt+str(i)+",\n"
        return rt[:-2]+']'

    def T(self):
        rt=[[0]*self.shape[0] for i in range(self.shape[1])]
        for i in range(self.shape[0]):
            for j in range(self.shape[1]):
                rt[j][i]=self.arr[i][j]
        return matrix(rt)

    def resize(self,new_shape,fill=0):
        t_arr=[]
        for i in self.arr:
            t_arr+=i
        t_arr.reverse()
        n,m=new_shape
        self.shape=(n,m)
        self.arr=[[fill]*m for i in range(n)]

        for i in range(self.shape[0]):
            for j in range(self.shape[1]):
                if t_arr:
                    self.arr[i][j]=t_arr.pop()
        return

    def view(self):
        for i in self.arr:
            print(i)

show_flg=False
show_flg=True
d=dict(zip('RSP','PRS'))
for _ in range(I()):
    s=input()
    x=0
    y=-1
    for i,j in enumerate('RSP'):
        t=s.count(j)
        if t>y:
            x=i
            y=t
    print(d['RSP'[x]]*len(s))
    