toysolver-0.0.3: test/TestSAT.hs
{-# LANGUAGE TemplateHaskell #-}
module Main (main) where
import Control.Monad
import Data.List
import qualified Data.Set as Set
import qualified Data.IntSet as IS
import Test.HUnit hiding (Test)
import Test.Framework (Test, defaultMain, testGroup)
import Test.Framework.TH
import Test.Framework.Providers.HUnit
import SAT
import SAT.Types
import qualified SAT.TseitinEncoder as Tseitin
import SAT.TseitinEncoder (Formula (..))
import qualified SAT.MUS as MUS
import qualified SAT.CAMUS as CAMUS
-- should be SAT
case_solve_SAT :: IO ()
case_solve_SAT = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addClause solver [literal x1 True, literal x2 True] -- x1 or x2
addClause solver [literal x1 True, literal x2 False] -- x1 or not x2
addClause solver [literal x1 False, literal x2 False] -- not x1 or not x2
ret <- solve solver
ret @?= True
-- shuld be UNSAT
case_solve_UNSAT :: IO ()
case_solve_UNSAT = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addClause solver [literal x1 True, literal x2 True] -- x1 or x2
addClause solver [literal x1 False, literal x2 True] -- not x1 or x2
addClause solver [literal x1 True, literal x2 False] -- x1 or not x2
addClause solver [literal x1 False, literal x2 False] -- not x2 or not x2
ret <- solve solver
ret @?= False
-- top level でいきなり矛盾
case_root_inconsistent :: IO ()
case_root_inconsistent = do
solver <- newSolver
x1 <- newVar solver
addClause solver [literal x1 True]
addClause solver [literal x1 False]
ret <- solve solver -- unsat
ret @?= False
-- incremental に制約を追加
case_incremental_solving :: IO ()
case_incremental_solving = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addClause solver [literal x1 True, literal x2 True] -- x1 or x2
addClause solver [literal x1 True, literal x2 False] -- x1 or not x2
addClause solver [literal x1 False, literal x2 False] -- not x1 or not x2
ret <- solve solver -- sat
ret @?= True
addClause solver [literal x1 False, literal x2 True] -- not x1 or x2
ret <- solve solver -- unsat
ret @?= False
-- 制約なし
case_empty_constraint :: IO ()
case_empty_constraint = do
solver <- newSolver
ret <- solve solver
ret @?= True
-- 空の節
case_empty_claue :: IO ()
case_empty_claue = do
solver <- newSolver
addClause solver []
ret <- solve solver
ret @?= False
-- 自明に真な節
case_excluded_middle_claue :: IO ()
case_excluded_middle_claue = do
solver <- newSolver
x1 <- newVar solver
addClause solver [x1, -x1] -- x1 or not x1
ret <- solve solver
ret @?= True
-- 冗長な節
case_redundant_clause :: IO ()
case_redundant_clause = do
solver <- newSolver
x1 <- newVar solver
addClause solver [x1,x1] -- x1 or x1
ret <- solve solver
ret @?= True
case_instantiateClause :: IO ()
case_instantiateClause = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addClause solver [x1]
addClause solver [x1,x2]
addClause solver [-x1,x2]
ret <- solve solver
ret @?= True
case_instantiateAtLeast :: IO ()
case_instantiateAtLeast = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
x3 <- newVar solver
x4 <- newVar solver
addClause solver [x1]
addAtLeast solver [x1,x2,x3,x4] 2
ret <- solve solver
ret @?= True
addAtLeast solver [-x1,-x2,-x3,-x4] 2
ret <- solve solver
ret @?= True
case_inconsistent_AtLeast :: IO ()
case_inconsistent_AtLeast = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addAtLeast solver [x1,x2] 3
ret <- solve solver -- unsat
ret @?= False
case_trivial_AtLeast :: IO ()
case_trivial_AtLeast = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addAtLeast solver [x1,x2] 0
ret <- solve solver
ret @?= True
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addAtLeast solver [x1,x2] (-1)
ret <- solve solver
ret @?= True
case_AtLeast_1 :: IO ()
case_AtLeast_1 = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
x3 <- newVar solver
addAtLeast solver [x1,x2,x3] 2
addAtLeast solver [-x1,-x2,-x3] 2
ret <- solve solver -- unsat
ret @?= False
case_AtLeast_2 :: IO ()
case_AtLeast_2 = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
x3 <- newVar solver
x4 <- newVar solver
addAtLeast solver [x1,x2,x3,x4] 2
addClause solver [-x1,-x2]
addClause solver [-x1,-x3]
ret <- solve solver
ret @?= True
case_AtLeast_3 :: IO ()
case_AtLeast_3 = do
forM_ [(-1) .. 3] $ \n -> do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addAtLeast solver [x1,x2] n
ret <- solve solver
assertEqual ("case_AtLeast3_" ++ show n) (n <= 2) ret
-- from http://www.cril.univ-artois.fr/PB11/format.pdf
case_PB_sample1 :: IO ()
case_PB_sample1 = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
x3 <- newVar solver
x4 <- newVar solver
x5 <- newVar solver
addPBAtLeast solver [(1,x1),(4,x2),(-2,x5)] 2
addPBAtLeast solver [(-1,x1),(4,x2),(-2,x5)] 3
addPBAtLeast solver [(12345678901234567890,x4),(4,x3)] 10
addPBExactly solver [(2,x2),(3,x4),(2,x1),(3,x5)] 5
ret <- solve solver
ret @?= True
-- 一部の変数を否定に置き換えたもの
case_PB_sample1' :: IO ()
case_PB_sample1' = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
x3 <- newVar solver
x4 <- newVar solver
x5 <- newVar solver
addPBAtLeast solver [(1,x1),(4,-x2),(-2,x5)] 2
addPBAtLeast solver [(-1,x1),(4,-x2),(-2,x5)] 3
addPBAtLeast solver [(12345678901234567890,-x4),(4,x3)] 10
addPBExactly solver [(2,-x2),(3,-x4),(2,x1),(3,x5)] 5
ret <- solve solver
ret @?= True
-- いきなり矛盾したPB制約
case_root_inconsistent_PB :: IO ()
case_root_inconsistent_PB = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addPBAtLeast solver [(2,x1),(3,x2)] 6
ret <- solve solver
ret @?= False
case_pb_propagate :: IO ()
case_pb_propagate = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addPBAtLeast solver [(1,x1),(3,x2)] 3
addClause solver [-x1]
ret <- solve solver
ret @?= True
case_solveWith_1 :: IO ()
case_solveWith_1 = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
x3 <- newVar solver
addClause solver [x1, x2] -- x1 or x2
addClause solver [x1, -x2] -- x1 or not x2
addClause solver [-x1, -x2] -- not x1 or not x2
addClause solver [-x3, -x1, x2] -- not x3 or not x1 or x2
ret <- solve solver -- sat
ret @?= True
ret <- solveWith solver [x3] -- unsat
ret @?= False
ret <- solve solver -- sat
ret @?= True
case_solveWith_2 :: IO ()
case_solveWith_2 = do
solver <- newSolver
x1 <- newVar solver
x2 <- newVar solver
addClause solver [-x1, x2] -- -x1 or x2
addClause solver [x1] -- x1
ret <- solveWith solver [x2]
ret @?= True
ret <- solveWith solver [-x2]
ret @?= False
------------------------------------------------------------------------
-- -4*(not x1) + 3*x1 + 10*(not x2) >= 3
-- ⇔ -4*(1 - x1) + 3*x1 + 10*(not x2) >= 3
-- ⇔ -4 + 4*x1 + 3*x1 + 10*(not x2) >= 3
-- ⇔ 7*x1 + 10*(not x2) >= 7
-- ⇔ 7*x1 + 7*(not x2) >= 7
-- ⇔ x1 + (not x2) >= 1
case_normalizePBAtLeast :: Assertion
case_normalizePBAtLeast = (sort lhs, rhs) @?= (sort [(1,x1),(1,-x2)], 1)
where
x1 = 1
x2 = 2
(lhs,rhs) = normalizePBAtLeast ([(-4,-x1),(3,x1),(10,-x2)], 3)
case_normalizePBExactly_1 :: Assertion
case_normalizePBExactly_1 = (sort lhs, rhs) @?= (sort [(3,x1),(2,x2)], 1)
where
x1 = 1
x2 = 2
(lhs,rhs) = normalizePBExactly ([(6,x1),(4,x2)], 2)
case_normalizePBExactly_2 :: Assertion
case_normalizePBExactly_2 = (sort lhs, rhs) @?= ([], 1)
where
x1 = 1
x2 = 2
x3 = 3
(lhs,rhs) = normalizePBExactly ([(2,x1),(2,x2),(2,x3)], 3)
case_cutResolve_1 :: Assertion
case_cutResolve_1 = (sort lhs, rhs) @?= (sort [(1,x3),(1,x4)], 1)
where
x1 = 1
x2 = 2
x3 = 3
x4 = 4
pb1 = ([(1,x1), (1,x2), (1,x3)], 1)
pb2 = ([(2,-x1), (2,-x2), (1,x4)], 3)
(lhs,rhs) = cutResolve pb1 pb2 x1
case_cutResolve_2 :: Assertion
case_cutResolve_2 = (sort lhs, rhs) @?= (sort [(3,x1),(2,-x2),(2,x4)], 3)
where
x1 = 1
x2 = 2
x3 = 3
x4 = 4
pb1 = ([(3,x1), (2,-x2), (1,x3), (1,x4)], 3)
pb2 = ([(1,-x3), (1,x4)], 1)
(lhs,rhs) = cutResolve pb1 pb2 x3
case_cardinalityReduction :: Assertion
case_cardinalityReduction = (sort lhs, rhs) @?= ([1,2,3,4,5],4)
where
(lhs, rhs) = cardinalityReduction ([(6,1),(5,2),(4,3),(3,4),(2,5),(1,6)], 17)
-- from "Pueblo: A Hybrid Pseudo-Boolean SAT Solver"
-- clauseがunitになるレベルで、PB制約が違反状態のままという例。
case_hybridLearning_1 :: IO ()
case_hybridLearning_1 = do
solver <- newSolver
[x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11] <- replicateM 11 (newVar solver)
addClause solver [x11, x10, x9] -- C1
addClause solver [x8, x7, x6] -- C2
addClause solver [x5, x4, x3] -- C3
addAtLeast solver [-x2, -x5, -x8, -x11] 3 -- C4
addAtLeast solver [-x1, -x4, -x7, -x10] 3 -- C5
replicateM 3 (varBumpActivity solver x3)
setVarPolarity solver x3 False
replicateM 2 (varBumpActivity solver x6)
setVarPolarity solver x6 False
replicateM 1 (varBumpActivity solver x9)
setVarPolarity solver x9 False
setVarPolarity solver x1 True
setLearningStrategy solver LearningHybrid
ret <- solve solver
ret @?= True
-- from "Pueblo: A Hybrid Pseudo-Boolean SAT Solver"
-- clauseがunitになるレベルで、PB制約が違反状態のままという例。
-- さらに、学習したPB制約はunitにはならない。
case_hybridLearning_2 :: IO ()
case_hybridLearning_2 = do
solver <- newSolver
[x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12] <- replicateM 12 (newVar solver)
addClause solver [x11, x10, x9] -- C1
addClause solver [x8, x7, x6] -- C2
addClause solver [x5, x4, x3] -- C3
addAtLeast solver [-x2, -x5, -x8, -x11] 3 -- C4
addAtLeast solver [-x1, -x4, -x7, -x10] 3 -- C5
addClause solver [x12, -x3]
addClause solver [x12, -x6]
addClause solver [x12, -x9]
varBumpActivity solver x12
setVarPolarity solver x12 False
setLearningStrategy solver LearningHybrid
ret <- solve solver
ret @?= True
-- regression test for the bug triggered by normalized-blast-floppy1-8.ucl.opb.bz2
case_addPBAtLeast_regression :: IO ()
case_addPBAtLeast_regression = do
solver <- newSolver
[x1,x2,x3,x4] <- replicateM 4 (newVar solver)
addClause solver [-x1]
addClause solver [-x2, -x3]
addClause solver [-x2, -x4]
addPBAtLeast solver [(1,x1),(2,x2),(1,x3),(1,x4)] 3
ret <- solve solver
ret @?= False
------------------------------------------------------------------------
case_addFormula = do
solver <- newSolver
enc <- Tseitin.newEncoder solver
[x1,x2,x3,x4,x5] <- replicateM 5 $ liftM Var $ newVar solver
Tseitin.addFormula enc $ Or [Imply x1 (And [x3,x4]), Imply x2 (And [x3,x5])]
-- x6 = x3 ∧ x4
-- x7 = x3 ∧ x5
Tseitin.addFormula enc $ Or [x1, x2]
Tseitin.addFormula enc $ Imply x4 (Not x5)
ret <- solve solver
ret @?= True
Tseitin.addFormula enc $ Equiv x2 x4
ret <- solve solver
ret @?= True
Tseitin.addFormula enc $ Equiv x1 x5
ret <- solve solver
ret @?= True
Tseitin.addFormula enc $ Imply (Not x1) (And [x3,x5])
ret <- solve solver
ret @?= True
Tseitin.addFormula enc $ Imply (Not x2) (And [x3,x4])
ret <- solve solver
ret @?= False
case_encodeConj = do
solver <- newSolver
enc <- Tseitin.newEncoder solver
x1 <- newVar solver
x2 <- newVar solver
x3 <- Tseitin.encodeConj enc [x1,x2]
ret <- solveWith solver [x3]
ret @?= True
m <- model solver
evalLit m x1 @?= True
evalLit m x2 @?= True
evalLit m x3 @?= True
ret <- solveWith solver [-x3]
ret @?= True
m <- model solver
(evalLit m x1 && evalLit m x2) @?= False
evalLit m x3 @?= False
case_encodeDisj = do
solver <- newSolver
enc <- Tseitin.newEncoder solver
x1 <- newVar solver
x2 <- newVar solver
x3 <- Tseitin.encodeDisj enc [x1,x2]
ret <- solveWith solver [x3]
ret @?= True
m <- model solver
(evalLit m x1 || evalLit m x2) @?= True
evalLit m x3 @?= True
ret <- solveWith solver [-x3]
ret @?= True
m <- model solver
evalLit m x1 @?= False
evalLit m x2 @?= False
evalLit m x3 @?= False
------------------------------------------------------------------------
case_MUS = do
solver <- newSolver
[x1,x2,x3] <- newVars solver 3
sels@[y1,y2,y3,y4,y5,y6] <- newVars solver 6
addClause solver [-y1, x1]
addClause solver [-y2, -x1]
addClause solver [-y3, -x1, x2]
addClause solver [-y4, -x2]
addClause solver [-y5, -x1, x3]
addClause solver [-y6, -x3]
ret <- solveWith solver sels
ret @?= False
actual <- MUS.findMUSAssumptions solver MUS.defaultOptions
let actual' = IS.fromList $ map (\x -> x-3) actual
expected = map IS.fromList [[1, 2], [1, 3, 4], [1, 5, 6]]
actual' `elem` expected @?= True
------------------------------------------------------------------------
{-
c http://sun.iwu.edu/~mliffito/publications/jar_liffiton_CAMUS.pdf
c φ= (x1) ∧ (¬x1) ∧ (¬x1∨x2) ∧ (¬x2) ∧ (¬x1∨x3) ∧ (¬x3)
c MUSes(φ) = {{C1, C2}, {C1, C3, C4}, {C1, C5, C6}}
c MCSes(φ) = {{C1}, {C2, C3, C5}, {C2, C3, C6}, {C2, C4, C5}, {C2, C4, C6}}
p cnf 3 6
1 0
-1 0
-1 2 0
-2 0
-1 3 0
-3 0
-}
case_camus_allMCSAssumptions = do
solver <- newSolver
[x1,x2,x3] <- newVars solver 3
sels@[y1,y2,y3,y4,y5,y6] <- newVars solver 6
addClause solver [-y1, x1]
addClause solver [-y2, -x1]
addClause solver [-y3, -x1, x2]
addClause solver [-y4, -x2]
addClause solver [-y5, -x1, x3]
addClause solver [-y6, -x3]
actual <- CAMUS.allMCSAssumptions solver sels CAMUS.defaultOptions
let actual' = Set.fromList $ map IS.fromList actual
expected = [[1], [2,3,5], [2,3,6], [2,4,5], [2,4,6]]
expected' = Set.fromList $ map (IS.fromList . map (+3)) expected
actual' @?= expected'
case_camus_allMUSAssumptions = do
solver <- newSolver
[x1,x2,x3] <- newVars solver 3
sels@[y1,y2,y3,y4,y5,y6] <- newVars solver 6
addClause solver [-y1, x1]
addClause solver [-y2, -x1]
addClause solver [-y3, -x1, x2]
addClause solver [-y4, -x2]
addClause solver [-y5, -x1, x3]
addClause solver [-y6, -x3]
actual <- CAMUS.allMUSAssumptions solver sels CAMUS.defaultOptions
let actual' = Set.fromList $ map IS.fromList actual
expected = [[1,2], [1,3,4], [1,5,6]]
expected' = Set.fromList $ map (IS.fromList . map (+3)) expected
actual' @?= expected'
case_camus_hittingSetDual = actual' @?= expected'
where
actual = CAMUS.hittingSetDual [[1], [2,3,5], [2,3,6], [2,4,5], [2,4,6]]
actual' = Set.fromList $ map IS.fromList actual
expected = [[1,2], [1,3,4], [1,5,6]]
expected' = Set.fromList $ map IS.fromList expected
------------------------------------------------------------------------
-- Test harness
main :: IO ()
main = $(defaultMainGenerator)