----------------------------------------------------------------------------- -- | -- Module : Data.SBV.Examples.Queries.AllSat -- Copyright : (c) Levent Erkok -- License : BSD3 -- Maintainer : erkokl@gmail.com -- Stability : experimental -- -- When we would like to find all solutions to a problem, we can query the -- solver repeatedly, telling it to give us a new model each time. SBV already -- provides 'allSat' that precisely does this. However, this example demonstrates -- how the query mode can be used to achieve the same, and can also incorporate -- extra conditions with easy as we walk through solutions. ----------------------------------------------------------------------------- module Data.SBV.Examples.Queries.AllSat where import Data.SBV import Data.SBV.Control import Data.List -- | Find all solutions to @x + y .== 10@ for positive @x@ and @y@, but at each -- iteration we would like to ensure that the value of @x@ we get is at least twice as large as -- the previous one. This is rather silly, but demonstrates how we can dynamically -- query the result and put in new constraints based on those. goodSum :: Symbolic [(Integer, Integer)] goodSum = do x <- sInteger "x" y <- sInteger "y" -- constrain positive and sum: constrain $ x .>= 0 constrain $ y .>= 0 constrain $ x + y .== 10 -- Capture the "next" solution function: let next i sofar = do io $ putStrLn $ "Iteration: " ++ show (i :: Int) cs <- checkSat case cs of Unk -> error "Too bad, solver said unknown.." -- Won't happen Unsat -> do io $ putStrLn "No other solution!" return sofar Sat -> do xv <- getValue x yv <- getValue y io $ putStrLn $ "Current solution is: " ++ show (xv, yv) -- For next iteration: Put in constraints outlawing the current one: -- Note that we do *not* put these separately, as we do want -- to allow repetition on one value if the other is different! constrain $ x ./= literal xv ||| y ./= literal yv -- Also request @x@ to be twice as large, for demo purposes: constrain $ x .>= 2 * literal xv -- loop around! next (i+1) ((xv, yv) : sofar) -- Go into query mode and execute the loop: query $ do io $ putStrLn "Starting the all-sat engine!" next 1 [] -- | Run the query. We have: -- -- >>> demo -- Starting the all-sat engine! -- Iteration: 1 -- Current solution is: (0,10) -- Iteration: 2 -- Current solution is: (1,9) -- Iteration: 3 -- Current solution is: (2,8) -- Iteration: 4 -- Current solution is: (4,6) -- Iteration: 5 -- Current solution is: (8,2) -- Iteration: 6 -- No other solution! -- [(0,10),(1,9),(2,8),(4,6),(8,2)] demo :: IO () demo = do ss <- runSMT goodSum print $ sort ss