cflp-0.0.2: Constraint Functional-Logic Programming in Haskell

Control.CFLP

Synopsis

Documentation

class (MonadConstr Choice m, ConstraintStore Choice cs, MonadSolve cs m m) => CFLP cs m Source

Instances

CFLP ChoiceStore (ConstrT ChoiceStore []) 

type EvalStore = ChoiceStoreSource

eval :: (CFLP EvalStore m, MonadSolve EvalStore m m', Data a) => Strategy m' -> (EvalStore -> ID -> Nondet m a) -> IO [a]Source

evalPrint :: (CFLP EvalStore m, MonadSolve EvalStore m m', Data a, Show a) => Strategy m' -> (EvalStore -> ID -> Nondet m a) -> IO ()Source

type Strategy m = forall a. m a -> [a]Source

data HeadNormalForm m Source

Constructors

Cons DataType ConIndex [Untyped m] 

Instances

Show (HeadNormalForm []) 
Show (HeadNormalForm (ConstrT cs [])) 

mkHNF :: Constr -> [Untyped m] -> HeadNormalForm mSource

newtype Nondet m a Source

Constructors

Typed 

Fields

untyped :: Untyped m
 

Instances

Show (Nondet [] a) 
Show (Nondet (ConstrT cs []) a) 
WithUnique (Nondet m a) 

class WithUnique a whereSource

Associated Types

type Mon a :: * -> *Source

type Typ a Source

Methods

withUnique :: a -> ID -> Nondet (Mon a) (Typ a)Source

Instances

class Unknown a whereSource

Methods

unknown :: MonadConstr Choice m => ID -> Nondet m aSource

Instances

oneOf :: MonadConstr Choice m => [Nondet m a] -> ID -> Nondet m aSource

caseOf :: (Monad m, MonadSolve cs m m) => Nondet m a -> (HeadNormalForm m -> cs -> Nondet m b) -> cs -> Nondet m bSource

class Typeable a => Data a

The Data class comprehends a fundamental primitive gfoldl for folding over constructor applications, say terms. This primitive can be instantiated in several ways to map over the immediate subterms of a term; see the gmap combinators later in this class. Indeed, a generic programmer does not necessarily need to use the ingenious gfoldl primitive but rather the intuitive gmap combinators. The gfoldl primitive is completed by means to query top-level constructors, to turn constructor representations into proper terms, and to list all possible datatype constructors. This completion allows us to serve generic programming scenarios like read, show, equality, term generation.

The combinators gmapT, gmapQ, gmapM, etc are all provided with default definitions in terms of gfoldl, leaving open the opportunity to provide datatype-specific definitions. (The inclusion of the gmap combinators as members of class Data allows the programmer or the compiler to derive specialised, and maybe more efficient code per datatype. Note: gfoldl is more higher-order than the gmap combinators. This is subject to ongoing benchmarking experiments. It might turn out that the gmap combinators will be moved out of the class Data.)

Conceptually, the definition of the gmap combinators in terms of the primitive gfoldl requires the identification of the gfoldl function arguments. Technically, we also need to identify the type constructor c for the construction of the result type from the folded term type.

In the definition of gmapQx combinators, we use phantom type constructors for the c in the type of gfoldl because the result type of a query does not involve the (polymorphic) type of the term argument. In the definition of gmapQl we simply use the plain constant type constructor because gfoldl is left-associative anyway and so it is readily suited to fold a left-associative binary operation over the immediate subterms. In the definition of gmapQr, extra effort is needed. We use a higher-order accumulation trick to mediate between left-associative constructor application vs. right-associative binary operation (e.g., (:)). When the query is meant to compute a value of type r, then the result type withing generic folding is r -> r. So the result of folding is a function to which we finally pass the right unit.

With the -XDeriveDataTypeable option, GHC can generate instances of the Data class automatically. For example, given the declaration

data T a b = C1 a b | C2 deriving (Typeable, Data)

GHC will generate an instance that is equivalent to

instance (Data a, Data b) => Data (T a b) where gfoldl k z (C1 a b) = z C1 `k` a `k` b gfoldl k z C2 = z C2 gunfold k z c = case constrIndex c of 1 -> k (k (z C1)) 2 -> z C2 toConstr (C1 _ _) = con_C1 toConstr C2 = con_C2 dataTypeOf _ = ty_T con_C1 = mkConstr ty_T "C1" [] Prefix con_C2 = mkConstr ty_T "C2" [] Prefix ty_T = mkDataType "Module.T" [con_C1, con_C2]

This is suitable for datatypes that are exported transparently.

Instances

Data Bool 
Data Char 
Data Double 
Data Float 
Data Int 
Data Int8 
Data Int16 
Data Int32 
Data Int64 
Data Integer 
Data Ordering 
Data Word 
Data Word8 
Data Word16 
Data Word32 
Data Word64 
Data () 
Data a => Data [a] 
(Data a, Integral a) => Data (Ratio a) 
Typeable a => Data (Ptr a) 
Data a => Data (Maybe a) 
Typeable a => Data (ForeignPtr a) 
(Data a, Data b) => Data (Either a b) 
(Data a, Data b) => Data (a, b) 
(Typeable a, Data b, Ix a) => Data (Array a b) 
(Data a, Data b, Data c) => Data (a, b, c) 
(Data a, Data b, Data c, Data d) => Data (a, b, c, d) 
(Data a, Data b, Data c, Data d, Data e) => Data (a, b, c, d, e) 
(Data a, Data b, Data c, Data d, Data e, Data f) => Data (a, b, c, d, e, f) 
(Data a, Data b, Data c, Data d, Data e, Data f, Data g) => Data (a, b, c, d, e, f, g) 

normalForm :: (MonadSolve cs m m', Data a) => Nondet m a -> cs -> m' aSource

not :: MonadSolve cs m m => Nondet m Bool -> cs -> Nondet m BoolSource

nil :: Monad m => Nondet m [a]Source

(^:) :: Monad m => Nondet m a -> Nondet m [a] -> Nondet m [a]Source

fromList :: Monad m => [Nondet m a] -> Nondet m [a]Source

null :: MonadSolve cs m m => Nondet m [a] -> cs -> Nondet m BoolSource

head :: MonadSolve cs m m => Nondet m [a] -> cs -> Nondet m aSource

tail :: MonadSolve cs m m => Nondet m [a] -> cs -> Nondet m [a]Source