obdd-0.8.1: Ordered Reduced Binary Decision Diagrams

Safe HaskellNone
LanguageHaskell98

OBDD.Data

Contents

Description

implementation of reduced ordered binary decision diagrams.

Synopsis

the data type

data OBDD v Source #

assumes total ordering on variables

size :: OBDD v -> Index Source #

for external use

null :: OBDD v -> Bool Source #

does the OBDD not have any models?

satisfiable :: OBDD v -> Bool Source #

does the OBDD have any models?

number_of_models :: Ord v => Set v -> OBDD v -> Integer Source #

Number of satisfying assignments with given set of variables. The set of variables must be given since the current OBDD may not contain all variables that were used to construct it, since some nodes may have been removed because they had identical children.

variables :: Ord v => OBDD v -> Set v Source #

all variables that occur in the nodes

paths :: Ord v => OBDD v -> [Map v Bool] Source #

list of all paths

models :: Ord k => Set k -> OBDD k -> [Map k Bool] Source #

list of all models (a.k.a. minterms)

some_model :: Ord v => OBDD v -> IO (Maybe (Map v Bool)) Source #

randomly select one model, if possible

fold :: Ord v => (Bool -> a) -> (v -> a -> a -> a) -> OBDD v -> a Source #

Apply function in each node, bottom-up. return the value in the root node. Will cache intermediate results. You might think that count_models = fold (b -> if b then 1 else 0) (v l r -> l + r) but that's not true because a path might omit variables. Use full_fold to fold over interpolated nodes as well.

foldM :: (Monad m, Ord v) => (Bool -> m a) -> (v -> a -> a -> m a) -> OBDD v -> m a Source #

Run action in each node, bottum-up. return the value in the root node. Will cache intermediate results.

full_fold :: Ord v => Set v -> (Bool -> a) -> (v -> a -> a -> a) -> OBDD v -> a Source #

Apply function in each node, bottom-up. Also apply to interpolated nodes: when a link from a node to a child skips some variables: for each skipped variable, we run the branch function on an interpolated node that contains this missing variable, and identical children. With this function, number_of_models can be implemented as full_fold vars (bool 0 1) ( const (+) ). And it actually is, see the source.

full_foldM :: (Monad m, Ord v) => Set v -> (Bool -> m a) -> (v -> a -> a -> m a) -> OBDD v -> m a Source #

for internal use

data Node v i Source #

Constructors

Leaf !Bool 
Branch !v !i !i 

Instances

(Eq i, Eq v) => Eq (Node v i) Source # 

Methods

(==) :: Node v i -> Node v i -> Bool #

(/=) :: Node v i -> Node v i -> Bool #

(Ord i, Ord v) => Ord (Node v i) Source # 

Methods

compare :: Node v i -> Node v i -> Ordering #

(<) :: Node v i -> Node v i -> Bool #

(<=) :: Node v i -> Node v i -> Bool #

(>) :: Node v i -> Node v i -> Bool #

(>=) :: Node v i -> Node v i -> Bool #

max :: Node v i -> Node v i -> Node v i #

min :: Node v i -> Node v i -> Node v i #

make :: State (OBDD v) Index -> OBDD v Source #

register :: Ord v => Node v Index -> State (OBDD v) Index Source #

checked_register :: Ord v => Node v Index -> State (OBDD v) Index Source #

cached :: Ord v => (Index, Index) -> State (OBDD v) Index -> State (OBDD v) Index Source #

top :: OBDD v -> Index Source #

access :: OBDD v -> Node v (OBDD v) Source #