数据结构——表(list)
#include <iostream>
#include <list>
using namespace std;
标准类的存储方式为双向循环链表
list类
class list
{
list();
list(int n,const T&value=T());
list(T *first,T *last);
//push_back();
//pop_back();
//size();
//以上方法与向量相同 list中也包含
void push_front(const T&value);
void pop_front(); iterator begin(); //迭代器 默认指向第一个node
iterator end(); //指向表头 void erase (iterator pos);
void erase (iterator first,iterator last);//删区间
iterator insert(iterator pos,const T&value);//插在pos前
}
iterator(STL通用)
*iter; //指向节点的值
iter++; //指向next
iter--;
iter1==iter2; //指向同一个位置
*iter1==*iter2; //值相等 位置不一定
实例化:
std::list<int>::iterator iter=list.begin();
删除(!):
list.erase(iter++); //注意++ 否则删除节点之后的表丢失 内存泄露
//此处++运算符重载后 先获取下一节点位置再删除 若++iter则先删除再获取下一位置
注意:iterator iter++=list.begin()是错误的 ++的优先级高于=而iter未赋初值
插入练习:
void doubleData(std::list <T> &aList)
{
std::list<T>::iterator p=aList.begin();
while(p!=aList.end())
{
aList.insert(p,*p);
p++;
}
}
//初始数据:1234 输出结果:11223344
删除重复元素练习:
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" alt="" />
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class Wxpay { /* 配置参数 */ private $config = array( 'appid' => "wxc92b12277f277355", /*微信 ...