toysolver-0.1.0: src/ToySolver/Data/LA.hs
{-# LANGUAGE TypeFamilies #-}
-----------------------------------------------------------------------------
-- |
-- Module : ToySolver.Data.LA
-- Copyright : (c) Masahiro Sakai 2011
-- License : BSD-style
--
-- Maintainer : masahiro.sakai@gmail.com
-- Stability : provisional
-- Portability : non-portable (TypeFamilies)
--
-- Some definition for Theory of Linear Arithmetics.
--
-----------------------------------------------------------------------------
module ToySolver.Data.LA
(
-- * Expression of linear arithmetics
Expr
-- ** Conversion
, var
, constant
, terms
, fromTerms
, coeffMap
, fromCoeffMap
, unitVar
, asConst
-- ** Query
, coeff
, lookupCoeff
, extract
, extractMaybe
-- ** Operations
, mapCoeff
, mapCoeffWithVar
, evalExpr
, evalLinear
, lift1
, applySubst
, applySubst1
, showExpr
-- * Atomic formula of linear arithmetics
, Atom (..)
, showAtom
, evalAtom
, solveFor
, module ToySolver.Data.ArithRel
-- * misc
, BoundsEnv
, computeInterval
) where
import Control.Monad
import Control.DeepSeq
import Data.List
import Data.Maybe
import Data.IntMap (IntMap)
import qualified Data.IntMap as IntMap
import qualified Data.IntSet as IntSet
import Data.Interval
import Data.VectorSpace
import qualified ToySolver.Data.ArithRel as ArithRel
import ToySolver.Data.ArithRel
import ToySolver.Data.Var
-----------------------------------------------------------------------------
-- | Linear combination of variables and constants.
-- Non-negative keys are used for variables's coefficients.
-- key 'unitVar' is used for constants.
newtype Expr r
= Expr
{ -- | a mapping from variables to coefficients
coeffMap :: IntMap r
} deriving (Eq, Ord)
-- | Create a @Expr@ from a mapping from variables to coefficients.
fromCoeffMap :: (Num r, Eq r) => IntMap r -> Expr r
fromCoeffMap m = normalizeExpr (Expr m)
-- | terms contained in the expression.
terms :: Expr r -> [(r,Var)]
terms (Expr m) = [(c,v) | (v,c) <- IntMap.toList m]
-- | Create a @Expr@ from a list of terms.
fromTerms :: (Num r, Eq r) => [(r,Var)] -> Expr r
fromTerms ts = fromCoeffMap $ IntMap.fromListWith (+) [(x,c) | (c,x) <- ts]
instance Variables (Expr r) where
vars (Expr m) = IntSet.delete unitVar (IntMap.keysSet m)
instance Show r => Show (Expr r) where
showsPrec d m = showParen (d > 10) $
showString "fromTerms " . shows (terms m)
instance (Num r, Eq r, Read r) => Read (Expr r) where
readsPrec p = readParen (p > 10) $ \ r -> do
("fromTerms",s) <- lex r
(xs,t) <- reads s
return (fromTerms xs, t)
instance NFData r => NFData (Expr r) where
rnf (Expr m) = rnf m
-- | Special variable that should always be evaluated to 1.
unitVar :: Var
unitVar = -1
asConst :: Num r => Expr r -> Maybe r
asConst (Expr m) =
case IntMap.toList m of
[] -> Just 0
[(v,x)] | v==unitVar -> Just x
_ -> Nothing
normalizeExpr :: (Num r, Eq r) => Expr r -> Expr r
normalizeExpr (Expr t) = Expr $ IntMap.filter (0/=) t
-- | variable
var :: Num r => Var -> Expr r
var v = Expr $ IntMap.singleton v 1
-- | constant
constant :: (Num r, Eq r) => r -> Expr r
constant c = normalizeExpr $ Expr $ IntMap.singleton unitVar c
-- | map coefficients.
mapCoeff :: (Num b, Eq b) => (a -> b) -> Expr a -> Expr b
mapCoeff f (Expr t) = Expr $ IntMap.mapMaybe g t
where
g c = if c' == 0 then Nothing else Just c'
where c' = f c
-- | map coefficients.
mapCoeffWithVar :: (Num b, Eq b) => (a -> Var -> b) -> Expr a -> Expr b
mapCoeffWithVar f (Expr t) = Expr $ IntMap.mapMaybeWithKey g t
where
g v c = if c' == 0 then Nothing else Just c'
where c' = f c v
instance (Num r, Eq r) => AdditiveGroup (Expr r) where
Expr t ^+^ e2 | IntMap.null t = e2
e1 ^+^ Expr t | IntMap.null t = e1
e1 ^+^ e2 = normalizeExpr $ plus e1 e2
zeroV = Expr $ IntMap.empty
negateV = ((-1) *^)
instance (Num r, Eq r) => VectorSpace (Expr r) where
type Scalar (Expr r) = r
1 *^ e = e
0 *^ e = zeroV
c *^ e = mapCoeff (c*) e
plus :: Num r => Expr r -> Expr r -> Expr r
plus (Expr t1) (Expr t2) = Expr $ IntMap.unionWith (+) t1 t2
-- | evaluate the expression under the model.
evalExpr :: Num r => Model r -> Expr r -> r
evalExpr m (Expr t) = sum [(m' IntMap.! v) * c | (v,c) <- IntMap.toList t]
where m' = IntMap.insert unitVar 1 m
-- | evaluate the expression under the model.
evalLinear :: VectorSpace a => Model a -> a -> Expr (Scalar a) -> a
evalLinear m u (Expr t) = sumV [c *^ (m' IntMap.! v) | (v,c) <- IntMap.toList t]
where m' = IntMap.insert unitVar u m
lift1 :: VectorSpace x => x -> (Var -> x) -> Expr (Scalar x) -> x
lift1 unit f (Expr t) = sumV [c *^ (g v) | (v,c) <- IntMap.toList t]
where
g v
| v==unitVar = unit
| otherwise = f v
applySubst :: (Num r, Eq r) => VarMap (Expr r) -> Expr r -> Expr r
applySubst s (Expr m) = sumV (map f (IntMap.toList m))
where
f (v,c) = c *^ (
case IntMap.lookup v s of
Just tm -> tm
Nothing -> var v)
-- | applySubst1 x e e1 == e1[e/x]
applySubst1 :: (Num r, Eq r) => Var -> Expr r -> Expr r -> Expr r
applySubst1 x e e1 =
case extractMaybe x e1 of
Nothing -> e1
Just (c,e2) -> c *^ e ^+^ e2
-- | lookup a coefficient of the variable.
-- @
-- coeff v e == fst (extract v e)
-- @
coeff :: Num r => Var -> Expr r -> r
coeff v (Expr m) = IntMap.findWithDefault 0 v m
-- | lookup a coefficient of the variable.
-- It returns @Nothing@ if the expression does not contain @v@.
-- @
-- lookupCoeff v e == fmap fst (extractMaybe v e)
-- @
lookupCoeff :: Num r => Var -> Expr r -> Maybe r
lookupCoeff v (Expr m) = IntMap.lookup v m
-- | @extract v e@ returns @(c, e')@ such that @e == c *^ v ^+^ e'@
extract :: Num r => Var -> Expr r -> (r, Expr r)
extract v (Expr m) = (IntMap.findWithDefault 0 v m, Expr (IntMap.delete v m))
{-
-- Alternative implementation which may be faster but allocte more memory
extract v (Expr m) =
case IntMap.updateLookupWithKey (\_ _ -> Nothing) v m of
(Nothing, _) -> (0, Expr m)
(Just c, m2) -> (c, Expr m2)
-}
-- | @extractMaybe v e@ returns @Just (c, e')@ such that @e == c *^ v ^+^ e'@
-- if @e@ contains v, and returns @Nothing@ otherwise.
extractMaybe :: Num r => Var -> Expr r -> Maybe (r, Expr r)
extractMaybe v (Expr m) =
case IntMap.lookup v m of
Nothing -> Nothing
Just c -> Just (c, Expr (IntMap.delete v m))
{-
-- Alternative implementation which may be faster but allocte more memory
extractMaybe v (Expr m) =
case IntMap.updateLookupWithKey (\_ _ -> Nothing) v m of
(Nothing, _) -> Nothing
(Just c, m2) -> Just (c, Expr m2)
-}
showExpr :: (Num r, Eq r, Show r) => Expr r -> String
showExpr = showExprWith f
where
f x = "x" ++ show x
showExprWith :: (Num r, Show r, Eq r) => (Var -> String) -> Expr r -> String
showExprWith env (Expr m) = foldr (.) id xs ""
where
xs = intersperse (showString " + ") ts
ts = [if c==1
then showString (env x)
else showsPrec 8 c . showString "*" . showString (env x)
| (x,c) <- IntMap.toList m, x /= unitVar] ++
[showsPrec 7 c | c <- maybeToList (IntMap.lookup unitVar m)]
-----------------------------------------------------------------------------
-- | Atomic Formula of Linear Arithmetics
type Atom r = Rel (Expr r)
showAtom :: (Num r, Eq r, Show r) => Atom r -> String
showAtom (Rel lhs op rhs) = showExpr lhs ++ showOp op ++ showExpr rhs
-- | evaluate the formula under the model.
evalAtom :: (Num r, Ord r) => Model r -> Atom r -> Bool
evalAtom m (Rel lhs op rhs) = evalOp op (evalExpr m lhs) (evalExpr m rhs)
-- | Solve linear (in)equation for the given variable.
--
-- @solveFor a v@ returns @Just (op, e)@ such that @Atom v op e@
-- is equivalent to @a@.
solveFor :: (Real r, Fractional r) => Atom r -> Var -> Maybe (RelOp, Expr r)
solveFor (Rel lhs op rhs) v = do
(c,e) <- extractMaybe v (lhs ^-^ rhs)
return ( if c < 0 then flipOp op else op
, (1/c) *^ negateV e
)
-----------------------------------------------------------------------------
type BoundsEnv r = VarMap (Interval r)
-- | compute bounds for a @Expr@ with respect to @BoundsEnv@.
computeInterval :: (Real r, Fractional r) => BoundsEnv r -> Expr r -> Interval r
computeInterval b = evalExpr b . mapCoeff singleton
-----------------------------------------------------------------------------