from math import gcd


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_tbl = [0] * (n + 1)
        for i in range(2, n + 1):
            self.log_tbl[i] = self.log_tbl[i // 2] + 1

        # sparse_tableを構築する
        self.sp_tbl = [0] * (n * self.row_size)
        for i in range(n):
            self.sp_tbl[i] = array[i]
        for row in range(1, self.row_size):
            for i in range(n - (1 << row) + 1):
                self.sp_tbl[row * n + i] = \
                gcd(self.sp_tbl[(row - 1) * n + i],
                    self.sp_tbl[(row - 1) * n + 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_tbl[r - l]
        return gcd(self.sp_tbl[row * n + l],
                   self.sp_tbl[row * n + r - (1 << row)])


import sys
input = sys.stdin.readline


n = int(input())
a = list(map(int, input().split()))

sp = SparseTable(a)
r = 1
ans = 0
for l in range(n):
    r = max(l + 1, r)
    while r <= n and sp.query(l, r) != 1:
        r += 1
    ans += n - r + 1
print(ans)