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Hacked NL* together.

Not complete yet, but it already works for the prototypical NFA: all
words with duplicate atoms.
This commit is contained in:
Joshua Moerman 2016-06-20 16:40:08 +02:00
parent 2e901070d9
commit 24e2c1ff88
5 changed files with 219 additions and 12 deletions

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@ -1,11 +1,13 @@
module Examples
( module Examples
, module Examples.Contrived
, module Examples.ContrivedNFAs
, module Examples.Fifo
, module Examples.Stack
) where
import Examples.Contrived
import Examples.ContrivedNFAs
import Examples.Fifo
import Examples.Stack
import NLambda (Atom)

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@ -0,0 +1,34 @@
{-# LANGUAGE DeriveGeneric #-}
module Examples.ContrivedNFAs where
import NLambda
-- Explicit Prelude, as NLambda has quite some clashes
import Prelude (Eq, Ord, Show, ($))
import qualified Prelude ()
import GHC.Generics (Generic)
-- Language = u a v a w for any words u,v,w and atom a
-- The complement of 'all distinct atoms'
data NFA1 = Initial1 | Guessed1 Atom | Final1
deriving (Show, Eq, Ord, Generic)
instance BareNominalType NFA1
exampleNFA1 :: Automaton NFA1 Atom
exampleNFA1 = automaton
-- states, 4 orbits (of which one unreachable)
(singleton Initial1
`union` map Guessed1 atoms
`union` singleton Final1)
-- alphabet
atoms
-- transitions
(map (\a -> (Initial1, a, Guessed1 a)) atoms
`union` map (\a -> (Initial1, a, Initial1)) atoms
`union` map (\a -> (Guessed1 a, a, Final1)) atoms
`union` pairsWith (\a b -> (Guessed1 a, b, Guessed1 a)) atoms atoms
`union` map (\a -> (Final1, a, Final1)) atoms)
-- initial states
(singleton Initial1)
-- final states
(singleton Final1)

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@ -7,6 +7,8 @@ import Functions
import ObservationTable
import Teacher
import NLStar
import NLambda
import Data.List (inits, tails)
@ -50,18 +52,6 @@ inconsistencyBartek State{..} =
inconsistency :: NominalType i => State i -> Set (([i], [i], i), Set [i])
inconsistency = inconsistencyBartek
-- This can be written for all monads. Unfortunately (a,) is also a monad and
-- this gives rise to overlapping instances, so I only do it for IO here.
-- Note that it is not really well defined, but it kinda works.
instance (Conditional a) => Conditional (IO a) where
cond f a b = case solve f of
Just True -> a
Just False -> b
Nothing -> fail "### Unresolved branch ###"
-- NOTE: another implementation would be to evaluate both a and b
-- and apply ite to their results. This however would runs both side
-- effects of a and b.
-- This function will (recursively) make the table complete and consistent.
-- This is in the IO monad purely because I want some debugging information.
-- (Same holds for many other functions here)

170
src/NLStar.hs Normal file
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@ -0,0 +1,170 @@
{-# LANGUAGE RecordWildCards #-}
module NLStar where
import Examples
import Functions
import ObservationTable
import Teacher
import NLambda
import Data.List (inits, tails)
import Prelude hiding (and, curry, filter, lookup, map, not,
sum)
-- So at the moment we only allow sums of the form a + b
-- Of course we should approximate the powerset a bit better
-- But for the main example, we know this is enough!
-- I (Joshua) believe it is possible to give a finite-orbit
-- approximation, but the code will not be efficient ;-).
hackApproximate :: NominalType a => Set a -> Set (Set a)
hackApproximate set = empty `union` map singleton set `union` pairsWith (\x y -> singleton x `union` singleton y) set set
rowUnion :: NominalType i => Set (BRow i) -> BRow i
rowUnion set = Prelude.uncurry union . setTrueFalse . partition (\(_, f) -> f) $ map (\is -> (is, exists fromBool (mapFilter (\(is2, b) -> maybeIf (is `eq` is2) b) flatSet))) allIs
where
flatSet = sum set
allIs = map fst flatSet
setTrueFalse (trueSet, falseSet) = (map (setSecond True) trueSet, map (setSecond False) falseSet)
setSecond a (x, _) = (x, a)
-- lifted row functions
rowP t = rowUnion . map (row t)
rowPa t set a = rowUnion . map (\s -> rowa t s a) $ set
-- We can determine its completeness with the following
-- It returns all witnesses (of the form sa) for incompleteness
incompletenessNonDet :: NominalType i => State i -> Set [i]
incompletenessNonDet State{..} = filter (not . hasEqRow) ssa
where
sss = map (rowP t) . hackApproximate $ ss
-- true if the sequence sa has an equivalent row in ss
hasEqRow = contains sss . row t
inconsistencyNonDet :: NominalType i => State i -> Set ((Set [i], Set [i], i), Set [i])
inconsistencyNonDet State{..} =
pairsWithFilter (
\(s1, s2) a -> maybeIf (candidate1 s1 s2 a) ((s1, s2, a), discrepancy (rowPa t s1 a) (rowPa t s2 a))
) rowPairs aa
where
rowPairs = pairsWithFilter (\s1 s2 -> maybeIf (candidate0 s1 s2) (s1,s2)) (hackApproximate ss) (hackApproximate ss)
candidate0 s1 s2 = s1 `neq` s2 /\ rowP t s1 `eq` rowP t s2
candidate1 s1 s2 a = rowPa t s1 a `neq` rowPa t s2 a
-- This can be written for all monads. Unfortunately (a,) is also a monad and
-- this gives rise to overlapping instances, so I only do it for IO here.
-- Note that it is not really well defined, but it kinda works.
instance (Conditional a) => Conditional (IO a) where
cond f a b = case solve f of
Just True -> a
Just False -> b
Nothing -> fail "### Unresolved branch ###"
-- NOTE: another implementation would be to evaluate both a and b
-- and apply ite to their results. This however would runs both side
-- effects of a and b.
-- This function will (recursively) make the table complete and consistent.
-- This is in the IO monad purely because I want some debugging information.
-- (Same holds for many other functions here)
makeCompleteConsistentNonDet :: (Show i, Contextual i, NominalType i, Teacher t i) => t -> State i -> IO (State i)
makeCompleteConsistentNonDet teacher state@State{..} = do
-- inc is the set of rows witnessing incompleteness, that is the sequences
-- 's1 a' which do not have their equivalents of the form 's2'.
putStrLn "New round"
let inc = incompletenessNonDet state
ite (isNotEmpty inc)
(do
-- If that set is non-empty, we should add new rows
putStrLn "Incomplete!"
-- These will be the new rows, ...
let ds = inc
putStr " -> Adding rows: "
print ds
let state2 = addRows teacher ds state
makeCompleteConsistentNonDet teacher state2
)
(do
-- inc2 is the set of inconsistencies.
let inc2 = inconsistencyNonDet state
ite (isNotEmpty inc2)
(do
-- If that set is non-empty, we should add new columns
putStr "Inconsistent! : "
print inc2
-- The extensions are in the second component
let de = sum $ map (\((s1,s2,a),es) -> map (a:) es) inc2
putStr " -> Adding columns: "
print de
let state2 = addColumns teacher de state
makeCompleteConsistentNonDet teacher state2
)
(do
-- If both sets are empty, the table is complete and
-- consistent, so we are done.
putStrLn " => Complete + Consistent :D!"
return state
)
)
boolImplies :: Bool -> Bool -> Bool
boolImplies True False = False
boolImplies _ _ = True
sublang :: NominalType i => BRow i -> BRow i -> Formula
sublang r1 r2 = forAll fromBool $ pairsWithFilter (\(i1, f1) (i2, f2) -> maybeIf (i1 `eq` i2) (f1 `boolImplies` f2)) r1 r2
-- Given a C&C table, constructs an automaton. The states are given by 2^E (not
-- necessarily equivariant functions)
constructHypothesisNonDet :: NominalType i => State i -> Automaton (BRow i) i
constructHypothesisNonDet State{..} = automaton q a d i f
where
q = map (row t) ss
a = aa
d = triplesWithFilter (\s a s2 -> maybeIf (sublang (row t s2) (rowa t s a)) (row t s, a, row t s2)) ss aa ss
i = singleton $ row t []
f = mapFilter (\s -> maybeIf (toform $ apply t (s, [])) (row t s)) ss
toform s = forAll id . map fromBool $ s
-- I am not quite sure whether this variant is due to Rivest & Schapire or Maler & Pnueli.
useCounterExampleNonDet :: (Show i, Contextual i, NominalType i, Teacher t i) => t -> State i -> Set [i] -> IO (State i)
useCounterExampleNonDet teacher state@State{..} ces = do
putStr "Using ce: "
print ces
let de = sum . map (fromList . tails) $ ces
putStr " -> Adding columns: "
print de
let state2 = addColumns teacher de state
return state2
-- The main loop, which results in an automaton. Will stop if the hypothesis
-- exactly accepts the language we are learning.
loopNonDet :: (Show i, Contextual i, NominalType i, Teacher t i) => t -> State i -> IO (Automaton (BRow i) i)
loopNonDet teacher s = do
putStrLn "##################"
putStrLn "1. Making it complete and consistent"
s <- makeCompleteConsistentNonDet teacher s
putStrLn "2. Constructing hypothesis"
let h = constructHypothesisNonDet s
print h
putStr "3. Equivalent? "
let eq = equivalent teacher h
print eq
case eq of
Nothing -> return h
Just ce -> do
s <- useCounterExampleNonDet teacher s ce
loopNonDet teacher s
constructEmptyStateNonDet :: (Contextual i, NominalType i, Teacher t i) => t -> State i
constructEmptyStateNonDet teacher =
let aa = Teacher.alphabet teacher in
let ss = singleton [] in
let ssa = pairsWith (\s a -> s ++ [a]) ss aa in
let ee = singleton [] in
let t = fillTable teacher (ss `union` ssa) ee in
State{..}
learnNonDet :: (Show i, Contextual i, NominalType i, Teacher t i) => t -> IO (Automaton (BRow i) i)
learnNonDet teacher = do
let s = constructEmptyStateNonDet teacher
loopNonDet teacher s

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@ -85,6 +85,7 @@ bisim aut1 aut2 = runIdentity $ go empty (pairsWith addEmptyWord (initialStates
getRevWord (w, _, _) = reverse w
addEmptyWord x y = ([], x, y)
-- Will ask everything to someone reading the terminal
data TeacherWithIO = TeacherWithIO
@ -163,3 +164,13 @@ interpret support (AND f1 f2) = interpret support f1 /\ interpret support f2
interpret support (OR f1 f2) = interpret support f1 \/ interpret support f2
interpret _ T = true
interpret _ F = false
-- A teacher uses a target for the mebership queries, but you for equivalence
-- Useful as long as you don't have an equivalence check, For example for G-NFAs
data TeacherWithTargetAndIO i = forall q . NominalType q => TeacherWithTargetAndIO (Automaton q i)
instance Teacher (TeacherWithTargetAndIO Atom) Atom where
membership (TeacherWithTargetAndIO aut) input = membership (TeacherWithTarget aut) input
equivalent (TeacherWithTargetAndIO aut) aut2 = equivalent TeacherWithIO aut2
alphabet (TeacherWithTargetAndIO aut) = NLambda.alphabet aut