- 隐式类类型转换
C++语言定义了内置类型之间的几个自动转换。也可以定义如何将其他类型的对象隐式转换为我们的类类型,或将我们的类类型的对象隐式转换为其他类型。为了定义到类类型的隐式转换,需要定义合适的构造函数。可以用单个实参来调用的构造函数定义了从形参类型到该类类型的一个隐式转换。
class Sales_item
{
public:
Sales_item(const std::string & isbn):s(isbn){
cout << isbn << endl;
}
Sales_item(int number):n(number){
cout << number << endl;
}
private:
std::string s;
int n;
}; bool func(Sales_item si)
{
return true;
} int main()
{
std::string null_book = "9-999-99999-9";
int number = ;
func(null_book);//这里将string类型转换为Sales_item
func(number);//这里将int类型转换为Sales_item
system("pause");
return ;
}
输出结果:
aaarticlea/png;base64,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" alt="" />
使用一个string类型对象作为实参传给func函数,编译器使用接收一个string的Sales_item构造函数从null_book生成一个新的Sales_item对象,新生成的(临时的)Sales_item被传递给func函数。
如果要抑制由构造函数定义的隐式转换,则需要将构造函数声明为explicit:
aaarticlea/png;base64,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" alt="" />
会报错:
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" alt="" />
也可以为转换显式使用构造函数:
aaarticlea/png;base64,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" alt="" />
但是此时,如果我们企图把Sales_item类型转换为int类型:
aaarticlea/png;base64,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" alt="" />
就会报错:
aaarticlea/png;base64,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" alt="" />
如果要实现这样的赋值,就需要用到转换操作符:
class Sales_item
{
public:
Sales_item(const std::string & isbn):s(isbn){
cout << isbn << endl;
}
Sales_item(int number) :n(number){
cout << number << endl;
} operator int() const { return n; }
operator string() const { return s; } private:
std::string s;
int n;
}; bool func(Sales_item si)
{
return true;
} int main()
{
std::string null_book = "9-999-99999-9";
int number = ;
func(Sales_item(null_book));
func(Sales_item(number)); Sales_item si();
Sales_item si2("a-123-12345-9");
cout << "------------------------------------------" << endl;
string s = si2;
cout << s << endl;
int number2 = si;
cout << number2 << endl; system("pause");
return ;
}
输出结果:
aaarticlea/png;base64,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" 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