class Modulo_Matrix_Error(Exception):
    pass

class Modulo_Matrix():
    #入力
    def __init__(self,M,Mod):
        self.ele=[[x%Mod for x in X] for X in M]
        self.Mod=Mod
        R=len(M)
        if R!=0:
            C=len(M[0])
        else:
            C=0
        self.row=R
        self.col=C
        self.size=(R,C)

    #出力
    def __str__(self):
        T=""
        (r,c)=self.size
        for i in range(r):
            U="["
            for j in range(c):
                U+=str(self.ele[i][j])+" "
            T+=U[:-1]+"]\n"

        return "["+T[:-1]+"]"

    def __repr__(self):
        return str(self)

    #+,-
    def __pos__(self):
        return self

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

    #加法
    def __add__(self,other):
        A=self
        B=other
        if A.size!=B.size:
            raise Modulo_Matrix_Error("2つの行列のサイズが異なります.({},{})".format(A.size,B.size))
        M=A.ele
        N=B.ele

        L=[0]*self.row
        for i in range(A.row):
            E,F=M[i],N[i]
            L[i]=[(E[j]+F[j])%self.Mod for j in range(self.col)]
        return Modulo_Matrix(L,self.Mod)

    #減法
    def __sub__(self,other):
        return self+(-other)

    #乗法
    def __mul__(self,other):
        A=self
        B=other
        if isinstance(B,Modulo_Matrix):
            if A.col!=B.row:
                raise Modulo_Matrix_Error("左側の列と右側の行が一致しません.({},{})".format(A.size,B.size))

            M=A.ele
            N=B.ele

            E=[[0]*other.col for _ in range(self.row)]

            for i,e in enumerate(E):
                for k,m in enumerate(M[i]):
                    for j,n in enumerate(N[k]):
                        e[j]+=m*n
                        e[j]%=self.Mod

            return Modulo_Matrix(E,self.Mod)

        elif isinstance(B,int):
            return A.__scale__(B)

    def __rmul__(self,other):
        if isinstance(other,int):
            return self*other

    def Inverse(self):
        M=self
        if  M.row!=M.col:
            raise Modulo_Matrix_Error("正方行列ではありません.")

        R=M.row
        I=[[1*(i==j) for j in range(R)] for i in range(R)]
        G=M.Column_Union(Modulo_Matrix(I,self.Mod))
        G=G.Row_Reduce()

        A,B=[None]*R,[None]*R
        for i in range(R):
            A[i]=G.ele[i][:R]
            B[i]=G.ele[i][R:]

        if A==I:
            return Modulo_Matrix(B,self.Mod)
        else:
            raise Modulo_Matrix_Error("正則ではありません.")

    #スカラー倍
    def __scale__(self,r):
        M=self.ele
        L=[[(r*M[i][j])%self.Mod for j in range(self.col)] for i in range(self.row)]
        return Modulo_Matrix(L,self.Mod)

    def __pow__(self,n):
        if self.row!=self.col:
            raise Modulo_Matrix_Error("正方行列ではありません.")

        def __mat_mul(A,B):
            E=[[0]*r for _ in range(r)]
            for i,e in enumerate(E):
                for k,m in enumerate(A[i]):
                    for j,n in enumerate(B[k]):
                        e[j]+=m*n
                        e[j]%=Mod
            return E

        def __mat_pow(A,k):
            if k==0:
                return [[1 if i==j else 0 for j in range(r)] for i in range(r)]
            else:
                return __mat_mul(__mat_pow(A,k-1),A) if k&1 else __mat_pow(__mat_mul(A,A),k>>1)

        r=len(self.ele)
        Mod=self.Mod

        if n>=0:
            return Modulo_Matrix(__mat_pow(self.ele,n),Mod)
        else:
            return Modulo_Matrix(__mat_pow(self.ele,-n),Mod).Inverse()

    #等号
    def __eq__(self,other):
        return self.ele==other.ele

    #不等号
    def __neq__(self,other):
        return not(self==other)

    #転置
    def Transpose(self):
        self.col,self.row=self.row,self.col
        self.ele=list(map(list,zip(*self.ele)))

    #行基本変形
    def Row_Reduce(self):
        M=self
        (R,C)=M.size
        T=[]

        for i in range(R):
            U=[]
            for j in range(C):
                U.append(M.ele[i][j])
            T.append(U)

        I=0
        for J in range(C):
            if T[I][J]==0:
                for i in range(I+1,R):
                    if T[i][J]!=0:
                        T[i],T[I]=T[I],T[i]
                        break

            if T[I][J]!=0:
                u=T[I][J]
                u_inv=pow(u,self.Mod-2,self.Mod)
                for j in range(C):
                    T[I][j]*=u_inv
                    T[I][j]%=self.Mod

                for i in range(R):
                    if i!=I:
                        v=T[i][J]
                        for j in range(C):
                            T[i][j]-=v*T[I][j]
                            T[i][j]%=self.Mod
                I+=1
                if I==R:
                    break

        return Modulo_Matrix(T,self.Mod)

    #列基本変形
    def Column_Reduce(self):
        M=self
        (R,C)=M.size

        T=[]
        for i in range(R):
            U=[]
            for j in range(C):
                U.append(M.ele[i][j])
            T.append(U)

        J=0
        for I in range(R):
            if T[I][J]==0:
                for j in range(J+1,C):
                    if T[I][j]!=0:
                        for k in range(R):
                            T[k][j],T[k][J]=T[k][J],T[k][j]
                        break

            if T[I][J]!=0:
                u=T[I][J]
                u_inv=pow(u,self.Mod-2,self.Mod)
                for i in range(R):
                    T[i][J]*=u_inv
                    T[i][J]%=self.Mod

                for j in range(C):
                    if j!=J:
                        v=T[I][j]
                        for i in range(R):
                            T[i][j]-=v*T[i][J]
                            T[i][j]%=self.Mod
                J+=1
                if J==C:
                    break

        return Modulo_Matrix(T,self.Mod)

    #行列の階数
    def Rank(self):
        M=self.Row_Reduce()
        (R,C)=M.size
        T=M.ele

        S=0
        for i in range(R):
            f=False
            for j in range(C):
                if T[i][j]!=0:
                    f=True
                    break

            if f:
                S+=1
            else:
                break

        return S

    #行の結合
    def Row_Union(self,other):
        return Modulo_Matrix(self.ele+other.ele,self.Mod)

    #列の結合
    def Column_Union(self,other):
        E=[]
        for i in range(self.row):
            E.append(self.ele[i]+other.ele[i])

        return Modulo_Matrix(E,self.Mod)

    def __getitem__(self,index):
        assert isinstance(index,tuple) and len(index)==2
        return self.ele[index[0]][index[1]]

    def __setitem__(self,index,val):
        assert isinstance(index,tuple) and len(index)==2
        self.ele[index[0]][index[1]]=val

def Linear_Recurrence_Sequence_Value(p,x,N,Mod):
    """線形漸化式の第N項を求める.

    p:漸化式 (d=|p| とする.)
    x:第0項から第(d-1)項までの値
    N:第N項
    Mod:法

    線形漸化式は x[n+d]=p[0]x[0]+p[1]x[1]+...+p[d-1] x[d-1] とする.
    """

    assert len(p)==len(x)
    d=len(p)

    if N<d:
        return x[N]

    A=[p[::-1]]
    for i in range(d-1):
        A.append([1 if j==i else 0 for j in range(d)])
    A=Modulo_Matrix(A,Mod)
    v=Modulo_Matrix([[y] for y in x],Mod)

    X=0
    aa=pow(A,N-d+1).ele[0][::-1]

    for i in range(d):
        X+=aa[i]*x[i]

    return X%Mod
#=================================================
p,q,r,K=map(int,input().split())
print(Linear_Recurrence_Sequence_Value([1,1,1],[p,q,r],K-1,10))