Translate Haskell into English Manually, Part II
I really hate to spoil the tone of such a nice tutorial with opinionated commentary, but the exceedingly careful reader may have noticed that the C version is shorter than the Haskell version! In fact, by my count, there are 106 useful lines of code in the C version and 146 lines of useful code in the Haskell version. What happened? This is the type of thing that can make a budding article writer lose sleep at night!
Notice a few things. The C version is using static memory allocation. It pre-allocates space for 100 tokens, each of which can be up to 64 characters long. Modern C applications must usually manage memory dynamically, and it's a painful, error-prone chore. Nor does the example do any error handling. Haskell's exception system went completely unused. Last of all, the example didn't make use of any abstractions. Haskell's high-level, functional nature means that libraries, in general, can be higher level in Haskell than in C, but this is meaningless if you don't even use a parsing library.
Note, however, that the Haskell version already has some benefits over the C version. For instance, being able to print a ParseContext for free was really nice. Theoretically, because all parsing state is contained in a ParseContext, you can pass off the ParseContext to another machine and let it continue the computation. If, during parsing, for some reason it was necessary to undo what you had done and go back to some previous parsing state, it's absolutely possible to throw away your current ParseContext and continue with some previous ParseContext.
Consider the task of removing a bolt. You have your choice of a crescent wrench (say, C), a socket set (say, Java) or an impact wrench (say, Haskell). An impact wrench is incredibly powerful and can make difficult tasks easy. However, what we've seen is that sometimes it takes longer to retrieve the compressor from the garage in order to use an impact wrench than it takes to simply get the job done with a crescent wrench.
If Haskell is so powerful, why isn't it more popular? I think it's because the authors and many of the users are just too dang intelligent! I've heard Guido van Rossum, the author of Python, say something like, “ML is a great language--it's just too bad you have to have an IQ higher than 150 to use it.”
Consider that in Paul Hudak's book, The Haskell School of Expression, Hudak drags the user through writing code to calculate the area of a concave polygon [exercise 2.5 on page 33] before he even shows the user the canonical “Hello world” example [page 37], and I still haven't gotten to the part in the book that explains how to use Hugs. [Note: I'm being facetious. I don't think it's covered in the book at all. Hugs is an implementation of Haskell, and the book is about the language itself, not any particular implementation. However, my point stands that unless you actually get an interpreter or compiler running so that you can actually write some code, you can't truly claim to know a language. I spent hours trying to figure out why the Hugs shell wouldn't let me define a function before I found out that you have to store them in a file and load them as a library.]
Furthermore, as much as I love Haskell's type system, I think there's a real misconception. Hudak writes:
The best news is that Haskell's type system will tell you if your program is well-typed before you run it. This is a big advantage because most programming errors are manifested as typing errors [p. 8].
I don't agree. Although I would agree that most bugs are caused by programmers typing the wrong code, I would not agree that most bugs are manifested as typing errors! In fact, I find that most of my bugs are caused by subtly misunderstanding the fine details of a difficult problem, and I've heard other well-respected programmers say the same thing. Personally, being a fan of duck typing, I find that most of the time, types are almost a nuisance! [Note: Lest Java programmers send me hate mail, this is a topic covered repeatedly by Bruce Eckel, author of Thinking in Java, on his blog (mindview.net/WebLog/ArticleIndex). For instance, this post: mindview.net/WebLog/log-0025. If you consider tools like QuickCheck (www.cs.chalmers.se/~rjmh/QuickCheck), which can use Haskell's type system to generate test cases automatically, you'll see that a whole article could be written debating whether Bruce Eckel's ideas apply to Haskell. Nonetheless, I think it's fair to say that Haskell's type system gives you “more bang for the buck” than Java's.]
I spent a lot of time wondering why Haskell programmers seemed to be so successful. I've come to the following conclusion:
It's not that good programmers are necessarily drawn to Haskell--as Google has shown, there are a lot of extremely talented programmers who are content to code in Java. Rather, it's that you have to be a smart, patient, disciplined and dedicated programmer to code in Haskell at all.
The truth of the matter is you can be a bad programmer and make a living coding in Java. The same cannot be said of Haskell.
In summary: I think that it's fair to say that Haskell has some flaws (for instance, you have to be smart to use it), and it might not ever be as popular as Java, PHP or Ruby. However, languages are like friends; you take the good with the bad and enjoy them as a whole (with the exception of C++; almost no one uses all of C++).
Haskell is like a brilliant kernel programmer I once worked with. Asking him anything outside his areas of expertise was like trying to dereference a random location in memory. I use to joke that his user interface was about as friendly as a Commodore 64--“syntax error”. Nonetheless, you just couldn't beat him if you needed a new device driver for some random piece of hardware. Likewise, if I had to reimplement Pascal or write Perl 6, Haskell would be my first choice--although I'd definitely use a powerful parsing library. In fact, I'm pleased to say that Haskell is a welcome addition to my programmer's toolbox!
|Red Hat Enterprise Linux 7.1 beta available on IBM Power Platform||Jan 23, 2015|
|Designing with Linux||Jan 22, 2015|
|Wondershaper—QOS in a Pinch||Jan 21, 2015|
|Ideal Backups with zbackup||Jan 19, 2015|
|Non-Linux FOSS: Animation Made Easy||Jan 14, 2015|
|Internet of Things Blows Away CES, and it May Be Hunting for YOU Next||Jan 12, 2015|
- Designing with Linux
- Wondershaper—QOS in a Pinch
- Red Hat Enterprise Linux 7.1 beta available on IBM Power Platform
- Internet of Things Blows Away CES, and it May Be Hunting for YOU Next
- Ideal Backups with zbackup
- Slow System? iotop Is Your Friend
- Hats Off to Mozilla
- diff -u: What's New in Kernel Development
- Non-Linux FOSS: Animation Made Easy
- 2014 Book Roundup
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