题目1003：A+B ---c_str()，atoi()函数的使用;remove , erase函数的使用

 #include<stdio.h>

 #include<stdlib.h>

 int sw(char *a){

         int i=,c=;

         while(a[i]){

                 if(a[i]>=''&&a[i]<='')

                         c=c*+a[i]-'';

                     i++;

         }

         if(a[]=='-')

                 c=-c;

         return c;

 }

 int main(){

         char a[],b[];

         int a1,b1,c[],i=;

         while(scanf("%s %s",a,b)!=EOF)

         {

                 a1=sw(a);

                 b1=sw(b);

         c[i]=a1+b1;

         i++;

         }

         for(int j=;j<i;j++)

                 printf("%d\n",c[j]);

         return ;

 }

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" alt="" />

 #include<iostream>

 #include<string>

 #include<algorithm>

 using namespace std;

 int main(){

     //freopen("a.txt","r",stdin);

     char inA[]={};

     char inB[]={};

     while(cin>>inA>>inB)

     {

         string strA(inA);

         string strB(inB);

         strA.erase(remove(strA.begin(),strA.end(),','),strA.end());

         strB.erase(remove(strB.begin(),strB.end(),','),strB.end());

         int a = atoi(strA.c_str());  //c_str()函数返回一个指向正规C字符串的指针, 内容与本string串相同.

         int b = atoi(strB.c_str());  //atoi()会将字符串转换为整型数

         cout<<a+b<<endl;

         }

     //  getchar();

    return ;

 }

关于如下两行代码的使用很让人疑惑：

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAbsAAAAvCAIAAAD1i/OoAAAF7UlEQVR4nO2czXHkIBCFCY58SMFREIQj4LQ57EkBbAxsle2q9R4kQQON3JIYwYzeV1u1tgZQ9zPzJPTTyh/hw6hvtf4zLn7gzLJR27/eez99atJy2Zh2V+qfnfxk/yn1rdSXC5+aD+/D9m+lP63+clw0y55VJA1p2ajt5L33k9Wk5bwx6Zz1nz+OW7K22k5hSOPCp8ZtjJmMR4ZdIgQAjIrqHYCcD6M/O+2as7i2ozmjtG22BwDAYxjeMclZakPT2h2F1c1OAJ3BuSQAT8rwjgkAAMMAxwQAAClwTAAAkALHBAAAKXBMAACQAscEAAApcEwAAJACxwQAACk9HDO+pzjio9wtH1ZvRLOQxMpbrRq8gzRZveddqSTNa57zf/BUdKZ85fZ4mn+sflPqXSAo0/LOejbNvaljTlaLvyCT1cYM+PZL2xcimyAIqb3yzlz91maW5rk/xDBTsYjjRJrOCB2Ta3lnPVt+qY86ZjyYGD3nkFWeWCKct2rr5vYxbquNE3wtSd2M8Cfgx4z7p2OWcfJjrjBFN/Id5d2dUUpprZVSxqZp5ofcNUZtyS/G7QjpMuWd0TbsKnTm4wwBGBdOTml2pO+skyDN5VV7wbeu31SsZpQIUmR1LE3v/WSt0r8kbbmWd9aT3TgHsNfZDzpmPM91JjEIzspnS5nNJWqz/C02A56sDrrTn7kxnXOkYTDXIs76mJ5TNt8R132yWmm7/DfFiOJgZH1KNVp+3hPSRcqvXZMQ2DhJauWiKQsrhiyZ6LIzg75TkcloU5DDac5N35X5fbjlnfXkNl7qmPSwk5xF8LLmUcWGm7qmhdmS7Mp+9EBI22VxbozpvS8vvGU7YrvTSRK7pD2ZlNcf9oV0ifL5FHNG24mP05mNOnaFYybHMp+0LKa0sJ5T16lYZpTuuRTkaJrnubOe7UQ+fR0zO1bIZM1KVFYHr4uef0KVZHuFODf/kD86Jtt9n2OusdINu0LKM/IPUJ5zTD7O7o4Z6DEVX9AxA6+kZ2/HJHHzZ9f0hL4QJ9cgfjofeTYEYnute15+X9bG1Ti3FifcqrxcpufdecdMTYHmXFwal4d0pfKKSBquM3BrmzWMyeqfVuVVxxQur4p1WeepyGREx0x2fibNKr+NehMu1W+sZz333TeoDjtmJNM7OckuC56ndxPirRDSvLYIjRciy7N5cnBbbsK4epzV8FNlKzvKuy+/ajst0y/8JegA9VPiPSFdpfx8A4d5VITbP72/tc7u7GYB3b+hleq3JRE4Sc+pWMuIrmt19pzWwTRruHel3kQt76xnNffdfokn2At2XIe/igFDqnHmmaQszdq1+gOTfCiapim/e35nPWuGeWiuwjFz6AJ/EAYMKYGcbpyx9iTNyjXTpzl21GmZpjPCE8yb69nw6wPHBAAAKXBMAACQAscEAAApcEwAAJACxwQAAClwTAAAkALHBAAAKXBMAACQ0sExsxfoRnuEdsDHxVuFJFf+JjXYHz0V2bcdD6c5fg32QfUc9wn2SoGTkvTd+qE8c7R4vCik9srfpQb7o6fi3WqwD6lny0j61GBPZN38ZpaFmmtjxv2jBnsD5e9Sg/3MVKxmlAjyQ6EIaZp+z1vk/Wqwj6knu/HSisInCzXTsidb5l8p1MyOiRrspX7HlV+7JiGwcZLUykXT+DXYT05FJqNNQQ6nOTcdvwb7oHrW6pA8Sw32rYp3hFqhZnZMeiBkq5NF/Stj+hvUYBcqn0+x163BfnIqvmBF4ZfUs53IvWqw599GfnDUYG9fg12mPOeYfPvujhnoMRVf0DEDr6Rnb8ckcR8o1JzKSjUQFmoux6QrcdRgb6T8DWqwn56KqMH+FHrWc999F/3yGuxZ57S/pFAzO6ZHDfamyt+iBvvpqYga7E+iZzX33X6JJ9gLdlyHv4oBQ6qBGuw/0jRN1GCX6FkzTNRgb8ILP8H+KFCDfQ+owd6WZ36CHQAAXho4JgAASIFjAgCAFDgmAABIgWMCAIAUOCYAAEiBYwIAgBQ4JgAASPkPGPiGNGo+KtAAAAAASUVORK5CYII=" alt="" />

接下来就举例子来说明一下：

 #include <iostream>

 #include <list>

 #include <algorithm>

 using namespace std;

 int main()

 {

     list<int> coll;

        //insert elements from 6 to 1 and 1 to 6

     for (int i=; i<=; ++i) {

          coll.push_front(i);

          coll.push_back(i);

     }

     //print all elements of the collection

     cout << "pre:  ";

     copy (coll.begin(), coll.end(), ostream_iterator<int> (cout," "));

     cout << endl;

     //remove all elements with value 3

     remove (coll.begin() , coll.end(),  );

     //print all elements of the collection

     cout << "post: ";

     copy (coll.begin(), coll.end(), ostream_iterator<int> (cout," "));

     cout << endl;

 }

执行remove动作后,值为3的节点还在，只是里面的值被后续节点的值覆盖了,整个容器的长度没有改变。

向左转|向右转

题目1003：A+B ---c_str()，atoi()函数的使用;remove , erase函数的使用-LMLPHP

这样调整一下，就达到目的了。

list<int>::iterator end = remove (coll.begin(), coll.end(), 3);

coll.erase (end, coll.end());

c_str()的用法：

语法:

const char *c_str();

c_str()函数返回一个指向正规C字符串的指针, 内容与本string串相同.

这是为了与c语言兼容，在c语言中没有string类型，故必须通过string类对象的成员函数c_str()把string 对象转换成c中的字符串样式。

注意：一定要使用strcpy()函数 等来操作方法c_str()返回的指针

比如：最好不要这样:

char* c;

string s="";

c = s.c_str(); //c最后指向的内容是垃圾，因为s对象被析构，其内容被处理

应该这样用：

char c[];

string s="";

strcpy(c,s.c_str());

这样才不会出错，c_str()返回的是一个临时指针，不能对其进行操作

再举个例子

c_str() 以 char* 形式传回 string 内含字符串

如果一个函数要求char*参数，可以使用c_str()方法：

string s = "Hello World!";

printf("%s", s.c_str()); //输出 "Hello World!"

atoi函数的使用：

原型：int atoi （const char *nptr）

用法：#include <stdlib.h>

功能：将字符串转换成整型数；atoi()会扫描参数nptr字符串，跳过前面的空格字符，直到遇上数字或正负号才开始做转换，而再遇到非数字或字符串时（'\0'）才结束转化，并将结果返回。

说明：atoi()函数返回转换后的整型数。

可参考：http://blog.csdn.net/youbang321/article/details/7888138

举例：

#include <stdio.h>
#include <stdlib.h>
int main()
{
char a[] = "-100";
char b[] = "456";
int c = 0;
c = atoi(a) + atoi(b);
printf("c = %d\n",c);
}

结果：

题目1003：A+B ---c_str()，atoi()函数的使用;remove , erase函数的使用-LMLPHP