[Haskell-cafe] ANN: unification-fd 0.8.0

wren ng thornton wren at freegeek.org
Wed Jul 11 02:25:33 CEST 2012

-- unification-fd 0.8.0

The unification-fd package offers generic functions for single-sorted 
first-order structural unification (think of programming in Prolog, or 
of the metavariables in type inference)[1][2]. The library *is* 
sufficient for implementing higher-rank type systems a la [Peyton Jones, 
Vytiniotis, Weirich, Shields], but bear in mind that unification 
variables are the metavariables of type inference--- not the 
type-variables. As of this version, the library is also sufficient for 
implementing (non-recursive) feature structure unification.

An effort has been made to make the package as portable as possible. 
However, because it uses the ST monad and the mtl-2 package it can't be 
H98 nor H2010. However, it only uses the following common extensions 
which should be well supported[3]:

     FunctionalDependencies -- Alas, necessary for type inference
     FlexibleContexts       -- Necessary for practical use of MPTCs
     FlexibleInstances      -- Necessary for practical use of MPTCs
     UndecidableInstances   -- For Show instances due to two-level types

-- Changes (since 0.7.0)

This release is another API breaking release, though hopefully minor. In 
particular, the type of the zipMatch method for Unifiable has changed from:

     zipMatch :: t a -> t b -> Maybe (t (a, b))


     zipMatch :: t a -> t a -> Maybe (t (Either a (a, a)))

With the new type each of the unification subproblems can be declared as 
fully resolved (Left xy) or as still pending solution (Right (x,y))--- 
whereas the previous type only allowed the latter. This extension is 
necessary for implementing unification of feature structures (e.g., t ~ 
Map k). Given two feature structures which do not fully overlap, we can 
now declare that the non-intersecting parts have been unified and only 
require further unification for the parts which intersect--- whereas 
previously we would've been forced to declare the non-intersecting parts 
as requiring unification with themselves, which will always succeed and 
introduces extra work.

This feature is one I had available in earlier unpublished versions of 
the code, but errantly removed it when simplifying things for publishing 
on Hackage. To fix extant Unifiable instances, just wrap each tuple with 
Right. For those who care about such things, I have not been able to 
discern any noticeable difference in performance between the two 
versions. If you can provide benchmarks demonstrating otherwise, I'd be 
pleased to look at them.

In addition, the Show instance for Fix has been adjusted to use 
showsPrec in lieu of show, correcting some infelicities with the output.

-- Description

The unification API is generic in the type of the structures being 
unified and in the implementation of unification variables, following 
the two-level types pearl of Sheard (2001). This style mixes well with 
Swierstra (2008), though an implementation of the latter is not included 
in this package.

That is, all you have to do is define the functor whose fixed-point is 
the recursive type you're interested in:

     -- The non-recursive structure of terms
     data S a = ...

     -- The recursive term type
     type Term = Fix S

And then provide an instance for Unifiable, where zipMatch performs one 
level of equality testing for terms and returns the one-level spine 
filled with pairs of subterms to be recursively checked, or Nothing if 
this level doesn't match. Each subterm can be separately marked as being 
resolved, Left xy, or as requiring further unification, Right(x,y).

     class (Traversable t) => Unifiable t where
         zipMatch :: t a -> t a -> Maybe (t (Either a (a, a)))

The choice of which variable implementation to use is defined by 
similarly simple classes Variable and BindingMonad. We store the 
variable bindings in a monad, for obvious reasons. In case it's not 
obvious, see Dijkstra et al. (2008) for benchmarks demonstrating the 
cost of naively applying bindings eagerly.

There are currently two implementations of variables provided: one based 
on STRefs, and another based on a state monad carrying an IntMap. The 
former has the benefit of O(1) access time, but the latter is plenty 
fast and has the benefit of supporting backtracking. Backtracking itself 
is provided by the logict package and is described in Kiselyov et al. 

In addition to this modularity, unification-fd implements a number of 
optimizations over the algorithm presented in Sheard (2001)--- which is 
also the algorithm presented in Cardelli (1987).

* Their implementation uses path compression, which we retain. Though we 
modify the compression algorithm in order to make sharing observable.

* In addition, we perform aggressive opportunistic observable sharing, a 
potentially novel method of introducing even more sharing than is 
provided by the monadic bindings. Basically, we make it so that we can 
use the observable sharing provided by the modified path compression as 
much as possible (without introducing any new variables).

* And we remove the notoriously expensive occurs-check, replacing it 
with visited-sets (which detect cyclic terms more lazily and without the 
asymptotic overhead of the occurs-check). A variant of unification which 
retains the occurs-check is also provided, in case you really need to 
fail fast.

* Finally, a highly experimental branch of the API performs *weighted* 
path compression, which is asymptotically optimal. Unfortunately, the 
current implementation is quite a bit uglier than the unweighted 
version, and I haven't had a chance to perform benchmarks to see how the 
constant factors compare. Hence moving it to an experimental branch.

These optimizations pass a test suite for detecting obvious errors. If 
you find any bugs, do be sure to let me know. Also, if you happen to 
have a test suite or benchmark suite for unification on hand, I'd love 
to get a copy.

-- Notes and limitations

[1] At present the library does not appear amenable for implementing 
higher-rank unification itself; i.e., for higher-ranked metavariables, 
or higher-ranked logic programming. To be fully general we'd have to 
abstract over which structural positions are co/contravariant, whether 
the unification variables should be predicative or impredicative, as 
well as the isomorphisms of moving quantifiers around. It's on my todo 
list, but it's certainly non-trivial. If you have any suggestions, feel 
free to contact me.

[2] At present it is only suitable for single-sorted (aka untyped) 
unification, a la Prolog. In the future I aim to support multi-sorted 
(aka typed) unification, however doing so is complicated by the fact 
that it can lead to the loss of MGUs; so it will likely be offered as an 
alternative to the single-sorted variant, similar to how the weighted 
path-compression is currently offered as an alternative.

[3] With the exception of fundeps which are notoriously difficult to 
implement. However, they are supported by Hugs and GHC 6.6, so I don't 
feel bad about requiring them. Once the API stabilizes a bit more I plan 
to release a unification-tf package which uses type families instead, 
for those who feel type families are easier to implement or use. There 
have been a couple requests for unification-tf, so I've bumped it up on 
my todo list.

-- References

Luca Cardelli (1987) /Basic polymorphic typechecking/.
     Science of Computer Programming, 8(2):147--172.

Atze Dijkstra, Arie Middelkoop, S. Doaitse Swierstra (2008)
     /Efficient Functional Unification and Substitution/,
     Technical Report UU-CS-2008-027, Utrecht University.

Simon Peyton Jones, Dimitrios Vytiniotis, Stephanie Weirich, Mark
     Shields /Practical type inference for arbitrary-rank types/,
     to appear in the Journal of Functional Programming.
     (Draft of 31 July 2007.)

Oleg Kiselyov, Chung-chieh Shan, Daniel P. Friedman, and
     Amr Sabry (2005) /Backtracking, Interleaving, and/
     /Terminating Monad Transformers/, ICFP.

Tim Sheard (2001) /Generic Unification via Two-Level Types/
     /and Paramterized Modules/, Functional Pearl, ICFP.

Tim Sheard & Emir Pasalic (2004) /Two-Level Types and/
     /Parameterized Modules/. JFP 14(5): 547--587. This is
     an expanded version of Sheard (2001) with new examples.

Wouter Swierstra (2008) /Data types a la carte/, Functional
     Pearl. JFP 18: 423--436.

-- Links




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