sbv-14.4: Documentation/SBV/Examples/WeakestPreconditions/GCD.hs
-----------------------------------------------------------------------------
-- |
-- Module : Documentation.SBV.Examples.WeakestPreconditions.GCD
-- Copyright : (c) Levent Erkok
-- License : BSD3
-- Maintainer: erkokl@gmail.com
-- Stability : experimental
--
-- Proof of correctness of an imperative GCD (greatest-common divisor)
-- algorithm, using weakest preconditions. The termination measure here
-- illustrates the use of lexicographic ordering. Also, since symbolic
-- version of GCD is not symbolically terminating, this is another
-- example of using uninterpreted functions and axioms as one writes
-- specifications for WP proofs.
-----------------------------------------------------------------------------
{-# LANGUAGE CPP #-}
{-# LANGUAGE DeriveAnyClass #-}
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DeriveTraversable #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE TypeFamilies #-}
{-# OPTIONS_GHC -Wall -Werror #-}
module Documentation.SBV.Examples.WeakestPreconditions.GCD where
import Data.SBV
import Data.SBV.Tools.WeakestPreconditions
import GHC.Generics (Generic)
-- Access Prelude's gcd, but qualified:
import Prelude hiding (gcd)
import qualified Prelude as P (gcd)
#ifdef DOCTEST
-- $setup
-- >>> import Data.SBV
-- >>> import Data.SBV.Control
-- >>> import Data.SBV.Tools.WeakestPreconditions
#endif
-- * Program state
-- | The state for the GCD program, parameterized over a base type @a@.
data GCDS a = GCDS { x :: a -- ^ First value
, y :: a -- ^ Second value
, i :: a -- ^ Copy of x to be modified
, j :: a -- ^ Copy of y to be modified
}
deriving (Show, Generic, Mergeable, Traversable, Functor, Foldable)
-- | Show instance for t'GCDS'. The above deriving clause would work just as well,
-- but we want it to be a little prettier here, and hence the @OVERLAPS@ directive.
instance {-# OVERLAPS #-} (SymVal a, Show a) => Show (GCDS (SBV a)) where
show (GCDS x y i j) = "{x = " ++ sh x ++ ", y = " ++ sh y ++ ", i = " ++ sh i ++ ", j = " ++ sh j ++ "}"
where sh v = maybe "<symbolic>" show (unliteral v)
-- | 'Queriable instance for our state
instance Queriable IO (GCDS SInteger) where
type QueryResult (GCDS SInteger) = GCDS Integer
create = GCDS <$> freshVar_ <*> freshVar_ <*> freshVar_ <*> freshVar_
-- | Helper type synonym
type G = GCDS SInteger
-- * The algorithm
-- | The imperative GCD algorithm, assuming strictly positive @x@ and @y@:
--
-- @
-- i = x
-- j = y
-- while i != j -- While not equal
-- if i > j
-- i = i - j -- i is greater; reduce it by j
-- else
-- j = j - i -- j is greater; reduce it by i
-- @
--
-- When the loop terminates, @i@ equals @j@ and contains @GCD(x, y)@.
algorithm :: Stmt G
algorithm = Seq [ assert "x > 0, y > 0" $ \GCDS{x, y} -> x .> 0 .&& y .> 0
, Assign $ \st@GCDS{x, y} -> st{i = x, j = y}
, While "i != j"
inv
(Just msr)
(\GCDS{i, j} -> i ./= j)
$ If (\GCDS{i, j} -> i .> j)
(Assign $ \st@GCDS{i, j} -> st{i = i - j})
(Assign $ \st@GCDS{i, j} -> st{j = j - i})
]
where -- This invariant simply states that the value of the gcd remains the same
-- through the iterations.
inv GCDS{x, y, i, j} = x .> 0 .&& y .> 0 .&& i .> 0 .&& j .> 0 .&& gcd x y .== gcd i j
-- The measure can be taken as @i+j@ going down. However, we
-- can be more explicit and use the lexicographic nature: Notice
-- that in each iteration either @i@ goes down, or it stays the same
-- and @j@ goes down; and they never go below @0@. So we can
-- have the pair and use the lexicographic ordering.
msr GCDS{i, j} = [i, j]
-- | Symbolic GCD as our specification. Note that we cannot
-- really implement the GCD function since it is not
-- symbolically terminating. So, we instead uninterpret and
-- axiomatize it below.
--
-- NB. The concrete part of the definition is only used in calls to 'traceExecution'
-- and is not needed for the proof. If you don't need to call 'traceExecution', you
-- can simply ignore that part and directly uninterpret. In that case, we simply
-- use Prelude's version.
gcd :: SInteger -> SInteger -> SInteger
gcd x y
| Just i <- unliteral x, Just j <- unliteral y
= literal (P.gcd i j)
| True
= uninterpret "gcd" x y
-- | Constraints and axioms we need to state explicitly to tell
-- the SMT solver about our specification for GCD.
axiomatizeGCD :: Symbolic ()
axiomatizeGCD = do constrain $ \(Forall x) -> x .> 0 .=> gcd x x .== x
constrain $ \(Forall x) (Forall y) -> x .> 0 .&& y .> 0 .=> gcd (x+y) y .== gcd x y
constrain $ \(Forall x) (Forall y) -> x .> 0 .&& y .> 0 .=> gcd x (y+x) .== gcd x y
-- | Precondition for our program: @x@ and @y@ must be strictly positive
pre :: G -> SBool
pre GCDS{x, y} = x .> 0 .&& y .> 0
-- | Postcondition for our program: @i == j@ and @i = gcd x y@
post :: G -> SBool
post GCDS{x, y, i, j} = i .== j .&& i .== gcd x y
-- | Stability condition: Program must leave @x@ and @y@ unchanged.
noChange :: Stable G
noChange = [stable "x" x, stable "y" y]
-- | A program is the algorithm, together with its pre- and post-conditions.
imperativeGCD :: Program G
imperativeGCD = Program { setup = axiomatizeGCD
, precondition = pre
, program = algorithm
, postcondition = post
, stability = noChange
}
-- * Correctness
-- | With the axioms in place, it is trivial to establish correctness:
--
-- >>> correctness
-- Total correctness is established.
-- Q.E.D.
--
-- Note that I found this proof to be quite fragile: If you do not get the algorithm right
-- or the axioms aren't in place, z3 simply goes to an infinite loop, instead of providing
-- counter-examples. Of course, this is to be expected with the quantifiers present.
correctness :: IO (ProofResult (GCDS Integer))
correctness = wpProveWith defaultWPCfg{wpVerbose=True} imperativeGCD
-- * Concrete execution
-- $concreteExec
{- $concreteExec
Example concrete run. As we mentioned in the definition for 'gcd', the concrete-execution
function cannot deal with uninterpreted functions and axioms for obvious reasons. In those
cases we revert to the concrete definition. Here's an example run:
>>> traceExecution imperativeGCD $ GCDS {x = 14, y = 4, i = 0, j = 0}
*** Precondition holds, starting execution:
{x = 14, y = 4, i = 0, j = 0}
===> [1.1] Conditional, taking the "then" branch
{x = 14, y = 4, i = 0, j = 0}
===> [1.1.1] Skip
{x = 14, y = 4, i = 0, j = 0}
===> [1.2] Assign
{x = 14, y = 4, i = 14, j = 4}
===> [1.3] Loop "i != j": condition holds, executing the body
{x = 14, y = 4, i = 14, j = 4}
===> [1.3.{1}] Conditional, taking the "then" branch
{x = 14, y = 4, i = 14, j = 4}
===> [1.3.{1}.1] Assign
{x = 14, y = 4, i = 10, j = 4}
===> [1.3] Loop "i != j": condition holds, executing the body
{x = 14, y = 4, i = 10, j = 4}
===> [1.3.{2}] Conditional, taking the "then" branch
{x = 14, y = 4, i = 10, j = 4}
===> [1.3.{2}.1] Assign
{x = 14, y = 4, i = 6, j = 4}
===> [1.3] Loop "i != j": condition holds, executing the body
{x = 14, y = 4, i = 6, j = 4}
===> [1.3.{3}] Conditional, taking the "then" branch
{x = 14, y = 4, i = 6, j = 4}
===> [1.3.{3}.1] Assign
{x = 14, y = 4, i = 2, j = 4}
===> [1.3] Loop "i != j": condition holds, executing the body
{x = 14, y = 4, i = 2, j = 4}
===> [1.3.{4}] Conditional, taking the "else" branch
{x = 14, y = 4, i = 2, j = 4}
===> [1.3.{4}.2] Assign
{x = 14, y = 4, i = 2, j = 2}
===> [1.3] Loop "i != j": condition fails, terminating
{x = 14, y = 4, i = 2, j = 2}
*** Program successfully terminated, post condition holds of the final state:
{x = 14, y = 4, i = 2, j = 2}
Program terminated successfully. Final state:
{x = 14, y = 4, i = 2, j = 2}
As expected, @gcd 14 4@ is @2@.
-}