public class PrintOS
{
public static void main(final String[] args)
{
String osName = System.getProperty("os.name") ;
if (osName.equals("SunOS") || osName.equals("Linux"))
{
System.out.println("This is a UNIX box and therefore good.") ;
}
else if (osName.equals("Windows NT") || osName.equals("Windows 95"))
{
System.out.println("This is a Windows box and therefore bad.") ;
}
else
{
System.out.println("This is not a box.") ;
}
}
}
今天在网上看到网页叫“Object Orientation Isa Hoax”——面向对象是一个骗局,标题很有煽动性(注:该网站上还有一个网页叫Object Orientation Is Dead),好吧,打开看看上面有些 什么,发现这个网页是在收集一些关于“面向对象的反动言论”,没想到的是,很多言论出自很多大师之口。比如:Alexander Stepanov和Bjarne Stroustrup。这些言论挺有意思的,所以,我摘两段在下面:
Question:
I think STL and Generic Programming mark a definite departure from the common C++ programming style, which I find is almost completely derived from SmallTalk. Do you agree?
Answer:
Yes. STL is not object oriented. I think that object orientedness is almost as much of a hoax as Artificial Intelligence. I have yet to see an interesting piece of code that comes from these OO people. In a sense, I am unfair to AI: I learned a lot of stuff from the MIT AI Lab crowd, they have done some really fundamental work: Bill Gosper’s Hakmem is one of the best things for a programmer to read. AI might not have had a serious foundation, but it produced Gosper and Stallman (Emacs), Moses (Macsyma) and Sussman (Scheme, together with Guy Steele). I find OOP technically unsound. It attempts to decompose the world in terms of interfaces that vary on a single type. To deal with the real problems you need multisorted algebras – families of interfaces that span multiple types. I find OOP philosophically unsound. It claims that everything is an object. Even if it is true it is not very interesting – saying that everything is an object is saying nothing at all. I find OOP methodologically wrong. It starts with classes. It is as if mathematicians would start with axioms. You do not start with axioms – you start with proofs. Only when you have found a bunch of related proofs, can you come up with axioms. You end with axioms. The same thing is true in programming: you have to start with interesting algorithms. Only when you understand them well, can you come up with an interface that will let them work.