def gcd(a: int, b: int) -> int:
    """a, bの最大公約数(greatest common divisor: GCD)を求める
    計算量: O(log(min(a, b)))
    """
    if b == 0:
        return a
    return gcd(b, a%b)


class SparseTable:
    """区間取得クエリをO(1)で答えるデータ構造をO(NlogN)で構築する
    query(l, r): 区間[l, r)に対するクエリに答える
    """
    def __init__(self, array):
        n = len(array)
        self.row_size = n.bit_length()

        # log_tableを構築する
        # log_table = [0, 0, 1, 1, 2, 2, 2, 2, ...]
        self.log_table = [0] * (n + 1)
        for i in range(2, n + 1):
            self.log_table[i] = self.log_table[i//2] + 1

        # sparse_tableを構築する
        self.sparse_table = [[0] * n for _ in range(self.row_size)]
        for i in range(n):
            self.sparse_table[0][i] = array[i]
        for row in range(1, self.row_size):
            for i in range(n - (1 << row) + 1):
                self.sparse_table[row][i] = self._merge(self.sparse_table[row - 1][i], \
                                            self.sparse_table[row - 1][i + (1 << row - 1)])

    def _merge(self, num1, num2):
        """冪等律と結合律を満たす演算を行う"""
        return gcd(num1, num2)

    def query(self, l, r):
        """区間[l, r)に対するクエリに答える"""
        row = self.log_table[r - l]
        return self._merge(self.sparse_table[row][l], self.sparse_table[row][r - (1 << row)])

      
n = int(input())
a = list(map(int, input().split())) + [1]
n += 1

sp = SparseTable(a)
ans = 0
for i in range(n):
    ok = n
    ng = i
    while abs(ok - ng) > 1:
        mid = (ok + ng) // 2
        if sp.query(i, mid) == 1:
            ok = mid
        else:
            ng = mid
    ans += (n - ok)
print(ans)