STL map使用时应注意的一个问题

来源:互联网 发布:网络拓扑结构有几种 编辑:程序博客网 时间:2024/04/30 22:24

map进行插入时,可使用数组或insert的方法,如下代码:

map<int, int> m;m[2] = 12;m[5] = 15;m[3] = 13;
<span style="font-family: Arial, Helvetica, sans-serif;">m.insert(map<int, int>::value_type(2, 12));</span>
m.insert(map<int, int>::value_type(5, 15));m.insert(map<int, int>::value_type(3, 13));

上述插入完成后,输出m.size(),会发现map的大小仅仅为3,而不是我们想要的size为6

问题便出现在map使用数组进行输出的时候,如下::

方法1:
for (int i = 0; i < m.size(); i++)cout << m[i] << endl;//此种方法你会发现输出结果为6个数值,即map大小为6
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" alt="" />
方法2:
int n = m.size();for (int i = 0; i < n; i++)<span style="white-space:pre"></span>cout << m[i] << endl; <span style="font-family: Arial, Helvetica, sans-serif;">//此种方法你会发现输出结果为3个数值,即map大小为3</span>

两种数组输出方法的结果不一,主要原因在于 方法1中,在输出 m[i] 时,重载操作符 [ ] 时,调用了emplace_hint函数,此函数将值为0的键值对 我们给的例子中有(0,0),(1,0),(4,0) 添加到map中,此时,map的size变为6,不是3,。在方法2中,n提前锁定为3,因此输出仅仅是m[0], m[1], m[2].


建议:在对map进行操作时,尽量使用迭代器进行操作,减去使用数组操作带来的不必要的细小麻烦。

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