import math

class RMQ(object):
    def __init__(self, iterable):
        if len(iterable) <= 10**5:
            self._RMQ = RMQdoubling(iterable)
        else:
            self._RMQ = RMQfaster(iterable)

    def query(self, i, j):
        return self._RMQ.query(i, j)


class RMQdoubling(RMQ):
    def __init__(self, A):
        self._A = A
        self._preprocess()

    def _preprocess(self):
        ''' RMQ の前処理。
        '''
        n = len(self._A)
        max_j = int(math.log2(n))
        self._M = [list(range(n))]
        for j in range(0, max_j):
            shift = 1 << j
            Mj = self._M[j]
            Mjnext = []
            for k1, k2 in zip(Mj, Mj[shift:]):
                k = k1 if self._A[k1] < self._A[k2] else k2
                Mjnext.append(k)
            self._M.append(Mjnext)

    def query(self, i, j):
        if i == j: return i
        if i > j: i, j = j, i
        el = int(math.log2(j - i))
        k1 = self._M[el][i]
        k2 = self._M[el][j - (1 << el) + 1]
        rmq = k1 if self._A[k1] < self._A[k2] else k2
        return rmq

class RMQfaster(RMQdoubling):
    def __init__(self, D):
        self._D = D
        A, self._block_size = self._chop()
        super().__init__(A)

    def _chop(self):
        n = len(self._D)
        block_size = int(math.log2(n)/4)
        A = [min(self._D[i:i+block_size]) for i in range(0, n, block_size)]
        return A, block_size

    def _findmin(self, d_min, start, stop):
        for i, d in enumerate(self._D[start:stop], start):
            if d == d_min:
                return i

    def query(self, i, j):
        if i == j: return i
        if i > j:
            i, j = j, i
        s = self._block_size
        ii = (i - 1)//s + 1
        jj = (j - 1)//s
        mid_block = super().query(ii, jj)
        d_mid = self._A[mid_block]
        d_min = d_mid
        for k in list(range(i, ii*s)) + list(range(jj*s, j+1)):
            if self._D[k] < d_min:
                d_min = self._D[k]
                k_min = k
        if d_min < d_mid:
            return k_min
        else:
            return self._findmin(d_min, mid_block*s, (mid_block+1)*s)


class LCP(object):
    '''Longest Common Prefix を計算するクラス
    lcp = LCP(lst_of_strings)
    lcp.get(i, j)
    '''
    def __init__(self, strings):
        strings_with_index = [(s, i) for i, s in enumerate(strings)]
        strings_with_index.sort()
        sorted_strings = []
        self._index_converter = [0] * len(strings)
        j = 0
        for s, i in strings_with_index:
            sorted_strings.append(s)
            self._index_converter[i] = j
            j += 1
        self._init_lcp_neighbours(sorted_strings)
        self._rmq = RMQ(self._lcp_neighbours)
        self._lens = list(map(len, sorted_strings))
            
    def _init_lcp_neighbours(self, ss):
        n = len(ss)
        self._lcp_neighbours = [self._calc_lcp(ss[i], ss[i + 1]) for i in range(n - 1)]

    def _calc_lcp(self, str0, str1):
        lcp = 0
        for c0, c1 in zip(str0, str1):
            if c0 != c1:
                return lcp
            else:
                lcp += 1
        return lcp
    
    def get(self, i, j):
        ''' strings[i] と strings[j] の LCP の長さを返す
        '''
        ii = self._index_converter[i]
        jj = self._index_converter[j]
        if ii == jj:
            return self._lens[ii]
        kk = self._rmq.query(ii, jj - 1)
        return self._lcp_neighbours[kk]


if __name__ == '__main__':
    N = int(input())
    strings = [input().rstrip() for _ in range(N)]
    M, x, d = map(int, input().split())
    lcp = LCP(strings)
    Nm1 = N - 1
    NN = N * (N - 1)
    cum = 0
    for k in range(M):
        i, j = divmod(x, Nm1)
        i += 1
        j += 1
        if (i > j):
            i, j = j, i
        else:
            j += 1
        cum += lcp.get(i - 1, j - 1)
        x = (x + d) % NN
    print(cum)