Functional

The Glasgow Haskell Compiler Survey - GHC needs your feedback!

If you're a GHC user, the Glasgow Haskell Compiler HeadQuarters needs your feedback! See Simon Peyton-Jones original message, or go directly to the user survey. Here's a quote from the original message:

We'd like to hear from *absolutely everyone* who uses GHC: whether you
are a first-year undergraduate or a famous professor; whether you use
GHC for industrial applications or recreation; whether you use
higher-rank polymorphism or have only just learned what functional
programming is. Everyone!

We'll use the information to guide our future priorities, and we'll
publish some kind of summary of what we learn in due course. It's all
anonymous, of course, unless you choose to say who you are.

MetaKlaim

Gianluigi Ferrari, Eugenio Moggi and Rosario Pugliese

MetaKlaim - a Type Safe Multi-stage Language for Global Computing

This paper describes the design and the semantics of MetaKlaim, an higher order distributed process calculus equipped with staging mechanisms. MetaKlaim integrates MetaML (an extension of SML for multi-stage programming) and Klaim (a Kernel Language for Agents Interaction and Mobility), to permit interleaving of meta-programming activities (like assembly and linking of code fragments), dynamic checking of security policies at administrative boundaries and “traditional” computational activities on a wide area network (like remote communication and code mobility). MetaKlaim exploits a powerful type system (including polymorphic types ´a la system F) to deal with highly parameterized mobile components and to dynamically enforce security policies: types are metadata which are extracted from code at run-time and are used to express trustiness guarantees. The dynamic type checking ensures that the trustiness guarantees of wide are network applications are maintained whenever computations interoperate with potentially untrusted components.

Omega

Ωmega is a new programming language by Tim Sheard which is descended from Haskell and adds new facilities for defining static type constraints, such as allowing "users to write functions at the level of types, and then use those functions in the type of functions at value level". It also has "equality qualified types". See also Programming with Static Invariants in Omega and the manual for more information. Mentioned previously (in passing) on LtU.

Higher-Order Perl

(via Keith)
Higher-Order Perl is about functional programming techniques in Perl. It's about how to write functions that can modify and manufacture other functions.

Why would you want to do that? Because that way your code is more flexible and more reusable. Instead of writing ten similar functions, you write a general pattern or framework that can generate the functions you want; then you generate just the functions you need according to the pattern. The program doesn't need to know in advance which functions are necessary; it can generate them as needed. Instead of writing the complete program yourself, you get the computer to write it for you.

The book was published on the 8th of March, and the text will likely appear soon on the web site and will remain freely available.

Higher order functions - Lambda for the rest of us

What with all the foolish notions about lambda be passed around since the start of this month, a nice introductory article on Using functions for such higher order purposes as arguments, function-generating functions, and anonymous functions is just what the doctor ordered.

Functions are the wonderful and powerful building blocks of computer programs. Functions allow you to break code down into simpler, more manageable steps. They also allow you to break programs into reusable parts -- parts that are both reusable within the program and in other programs as well. In this article, learn how to create new functions at runtime based on templates, how to create functions that are configurable at runtime using function parameters, and how the Scheme language can be a valuable tool with functions.

Pugs, Practicing the Theories.

A lot of language theory goes past here on Lambda the Ultimate, but we rarely see that theory directly impacting commercial programmers.

I'm a great fan of theoretical concepts like arrows, but at the same time I'm a self-employed programmer interested in solving my clients' problems.

Pugs is notable in that it profitably uses recent developments such as GADTs and Template Haskell for an implementation of Perl6.

I recently became a regular on the #perl6 irc channel and soon after joined the list of committers.

In just a few days I've seen a lot. I've seen enthusiastic members of the Perl community learning Haskell. I've seen myself learning Perl. I've also seen how daily Perl programmers work with abstractions like monad transformers. I've seen how some structures are easy to extend for programmers new to both the Pugs codebase and Haskell.

The Pugs project was started 64 days ago by Autrijus Tang, as an exercise while reading TaPL. Pugs already includes network and threading primitives. New tests and code are add at an amazing rate, as evidenced by the smoke tests.

I don't know if I'll end up using Perl after Pugs is written, but I am learning how to practice the theory of programming language design and implementation.

Reproducing Programs implement Lazy Lists

Along the lines of the quine discussion happening in another thread, Manfred von Thun wrote a new page for the Joy site, Reproducing Programs implement Lazy Lists. This connects nicely with Jeremy Gibbons spigot algorithms paper, one example of which is his IOHCC 2004 submission PiSpigot.

OCaml vs. C++ for Dynamic Programming

Some might want to check this /. thread,

On one particular problem instance (a garden of size 7x3), my C++ implementation finished in 1 second, while the OCaml implementation was still running after 16 minutes. Bear in mind that my OCaml implementation was dramatically faster than my equivalent Haskell code... If you write OCaml code that is isomorphic to C code, it will be fast---what about if you use OCaml the way it was meant to be used?

My critical view of this sort of thing is well known, and I don't want another holy war (the Knuth thread is enough for my taste), but I guess we should check comparisons of this sort from time to time, if only to keep everyone honest (including ourselves).

Educational Pearl: Automata as Macros

Shriram Krishnamurthi's classic macro automaton example, well known from his LL1 presentation, is now written up as an educational pearl for JFP.

As you may recall, the example shows how to use Scheme macros to create an an automata DSL, and concentrates on the importance of proper tail-calls for achieving the desired semantics.

De-typechecker: converting from a type to a term

This message presents polymorphic functions that derive a term for a given type -- for a class of fully polymorphic functions: proper and improper combinators.

Oleg's converter can let us `visualize' what a function with a particular type may be doing. It can be helpful in understanding functions written in point-free style.

And to top it off, we are shown how to do SLD resolution using Haskell typeclasses...

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