{-# LANGUAGE DeriveDataTypeable, TypeSynonymInstances, FlexibleInstances #-} {-# LANGUAGE GeneralizedNewtypeDeriving #-} {-# LANGUAGE DeriveFunctor #-} {-# OPTIONS_GHC -fno-warn-orphans #-} module Sound.Tidal.Pattern where import Prelude hiding ((<*), (*>)) import Control.Applicative (liftA2) import Data.Bifunctor (Bifunctor(..)) import Data.Data (Data) -- toConstr import Data.List (delete, findIndex, sort, intercalate) import qualified Data.Map.Strict as Map import Data.Maybe (isJust, fromJust, catMaybes, fromMaybe) import Data.Ratio (numerator, denominator) import Data.Typeable (Typeable) ------------------------------------------------------------------------ -- * Types -- | Time is rational type Time = Rational -- | The 'sam' (start of cycle) for the given time value sam :: Time -> Time sam = fromIntegral . (floor :: Time -> Int) -- | Turns a number into a (rational) time value. An alias for 'toRational'. toTime :: Real a => a -> Rational toTime = toRational -- | The end point of the current cycle (and starting point of the next cycle) nextSam :: Time -> Time nextSam = (1+) . sam -- | The position of a time value relative to the start of its cycle. cyclePos :: Time -> Time cyclePos t = t - sam t -- | An arc of time, with a start time (or onset) and a stop time (or offset) data ArcF a = Arc { start :: a , stop :: a } deriving (Eq, Ord, Functor) type Arc = ArcF Time instance {-# OVERLAPPING #-} Show Arc where show (Arc s e) = prettyRat s ++ ">" ++ prettyRat e instance Num a => Num (ArcF a) where negate = fmap negate (+) = liftA2 (+) (*) = liftA2 (*) fromInteger = pure . fromInteger abs = fmap abs signum = fmap signum instance (Fractional a) => Fractional (ArcF a) where recip = fmap recip fromRational = pure . fromRational sect :: Arc -> Arc -> Arc sect (Arc s e) (Arc s' e') = Arc (max s s') (min e e') -- | convex hull union hull :: Arc -> Arc -> Arc hull (Arc s e) (Arc s' e') = Arc (min s s') (max e e') -- | @subArc i j@ is the timespan that is the intersection of @i@ and @j@. -- intersection -- The definition is a bit fiddly as results might be zero-width, but -- not at the end of an non-zero-width arc - e.g. (0,1) and (1,2) do -- not intersect, but (1,1) (1,1) does. subArc :: Arc -> Arc -> Maybe Arc subArc a@(Arc s e) b@(Arc s' e') | and [s'' == e'', s'' == e, s < e] = Nothing | and [s'' == e'', s'' == e', s' < e'] = Nothing | s'' <= e'' = Just (Arc s'' e'') | otherwise = Nothing where (Arc s'' e'') = sect a b instance Applicative ArcF where pure t = Arc t t (<*>) (Arc sf ef) (Arc sx ex) = Arc (sf sx) (ef ex) -- | The arc of the whole cycle that the given time value falls within timeToCycleArc :: Time -> Arc timeToCycleArc t = (Arc (sam t) ((sam t) + 1)) -- | A list of cycle numbers which are included in the given arc cyclesInArc :: Integral a => Arc -> [a] cyclesInArc (Arc s e) | s > e = [] | s == e = [floor s] | otherwise = [floor s .. (ceiling e)-1] -- | A list of arcs of the whole cycles which are included in the given arc cycleArcsInArc :: Arc -> [Arc] cycleArcsInArc = map (timeToCycleArc . (toTime :: Int -> Time)) . cyclesInArc -- | Splits the given 'Arc' into a list of 'Arc's, at cycle boundaries. arcCycles :: Arc -> [Arc] arcCycles (Arc s e) | s >= e = [] | sam s == sam e = [Arc s e] | otherwise = (Arc s (nextSam s)) : (arcCycles (Arc (nextSam s) e)) -- | Like arcCycles, but returns zero-width arcs arcCyclesZW :: Arc -> [Arc] arcCyclesZW (Arc s e) | s == e = [Arc s e] | otherwise = arcCycles (Arc s e) -- | Similar to 'fmap' but time is relative to the cycle (i.e. the -- sam of the start of the arc) mapCycle :: (Time -> Time) -> Arc -> Arc mapCycle f (Arc s e) = Arc (sam' + (f $ s - sam')) (sam' + (f $ e - sam')) where sam' = sam s -- | @isIn a t@ is @True@ if @t@ is inside -- the arc represented by @a@. isIn :: Arc -> Time -> Bool isIn (Arc s e) t = t >= s && t < e -- | An event is a value that's active during a timespan -- The part should be equal to or fit inside the -- whole data EventF a b = Event { whole :: a , part :: a , value :: b } deriving (Eq, Ord, Functor) type Event a = EventF (ArcF Time) a instance Bifunctor EventF where bimap f g (Event w p e) = (Event (f w) (f p) (g e)) instance {-# OVERLAPPING #-} Show a => Show (Event a) where show (Event (Arc ws we) a@(Arc ps pe) e) = h ++ "(" ++ show a ++ ")" ++ t ++ "|" ++ show e where h | ws == ps = "" | otherwise = prettyRat ws ++ "-" t | we == pe = "" | otherwise = "-" ++ prettyRat we -- | `True` if an `Event`'s starts is within given `Arc` onsetIn :: Arc -> Event a -> Bool onsetIn a e = isIn a (wholeStart e) -- | Compares two lists of events, attempting to combine fragmented events in the process -- for a 'truer' compare compareDefrag :: (Ord a) => [Event a] -> [Event a] -> Bool compareDefrag as bs = (sort $ defragParts as) == (sort $ defragParts bs) -- | Returns a list of events, with any adjacent parts of the same whole combined defragParts :: Eq a => [Event a] -> [Event a] defragParts [] = [] defragParts (e:[]) = (e:[]) defragParts (e:es) | isJust i = defraged:(defragParts (delete e' es)) | otherwise = e:(defragParts es) where i = findIndex (isAdjacent e) es e' = es !! (fromJust i) defraged = Event (whole e) u (value e) u = hull (part e) (part e') -- | Returns 'True' if the two given events are adjacent parts of the same whole isAdjacent :: Eq a => Event a -> Event a -> Bool isAdjacent e e' = (whole e == whole e') && (value e == value e') && (((stop $ part e) == (start $ part e')) || ((stop $ part e') == (start $ part e)) ) -- | Get the onset of an event's 'whole' wholeStart :: Event a -> Time wholeStart = start . whole -- | Get the offset of an event's 'whole' wholeStop :: Event a -> Time wholeStop = stop . whole -- | Get the onset of an event's 'whole' eventPartStart :: Event a -> Time eventPartStart = start . part -- | Get the offset of an event's 'part' eventPartStop :: Event a -> Time eventPartStop = stop . part -- | Get the timespan of an event's 'part' eventPart :: Event a -> Arc eventPart = part eventValue :: Event a -> a eventValue = value eventHasOnset :: Event a -> Bool eventHasOnset e = (start $ whole e) == (start $ part e) toEvent :: (((Time, Time), (Time, Time)), a) -> Event a toEvent (((ws, we), (ps, pe)), v) = Event (Arc ws we) (Arc ps pe) v -- | an Arc and some named control values data State = State {arc :: Arc, controls :: ControlMap } -- | A function that represents events taking place over time type Query a = (State -> [Event a]) -- | Also known as Continuous vs Discrete/Amorphous vs Pulsating etc. data Nature = Analog | Digital deriving Eq -- | A datatype that's basically a query, plus a hint about whether its events -- are Analogue or Digital by nature data Pattern a = Pattern {nature :: Nature, query :: Query a} data Value = VS { svalue :: String } | VF { fvalue :: Double } | VI { ivalue :: Int } deriving (Eq,Ord,Typeable,Data) type ControlMap = Map.Map String Value type ControlPattern = Pattern ControlMap ------------------------------------------------------------------------ -- * Instances instance Functor Pattern where -- | apply a function to all the values in a pattern fmap f p = p {query = (fmap (fmap f)) . query p} instance Applicative Pattern where -- | Repeat the given value once per cycle, forever pure v = Pattern Digital $ \(State a _) -> map (\a' -> Event a' (sect a a') v) $ cycleArcsInArc a (<*>) pf@(Pattern Digital _) px@(Pattern Digital _) = Pattern Digital q where q st = catMaybes $ concat $ map match $ query pf st where match (Event fWhole fPart f) = map (\(Event xWhole xPart x) -> do whole' <- subArc xWhole fWhole part' <- subArc fPart xPart return (Event whole' part' (f x)) ) (query px $ st {arc = fPart}) (<*>) pf@(Pattern Digital _) px@(Pattern Analog _) = Pattern Digital q where q st = concatMap match $ query pf st where match (Event fWhole fPart f) = map (\e -> (Event fWhole fPart (f (value e)))) (query px $ st {arc = pure (start fPart)}) (<*>) pf@(Pattern Analog _) px@(Pattern Digital _) = Pattern Digital q where q st = concatMap match $ query px st where match (Event xWhole xPart x) = map (\e -> (Event xWhole xPart ((value e) x))) (query pf st {arc = (pure (start xPart))}) (<*>) pf px = Pattern Analog q where q st = concatMap match $ query pf st where match ef = map (\ex -> (Event (arc st) (arc st) ((value ef) (value ex)))) (query px st) -- | Like <*>, but the structure only comes from the left (<*) :: Pattern (a -> b) -> Pattern a -> Pattern b (<*) pf@(Pattern Digital _) px = Pattern Digital q where q st = concatMap match $ query pf st where match (Event fWhole fPart f) = map (\e -> (Event fWhole fPart (f (value e)))) $ query px $ st {arc = xQuery fWhole} xQuery (Arc s _) = pure s -- for discrete events, match with the onset (<*) pf px = Pattern Analog q where q st = concatMap match $ query pf st where match (Event fWhole fPart f) = map (\e -> (Event fWhole fPart (f (value e)))) $ query px st -- for continuous events, use the original query -- | Like <*>, but the structure only comes from the right (*>) :: Pattern (a -> b) -> Pattern a -> Pattern b (*>) pf px@(Pattern Digital _) = Pattern Digital q where q st = concatMap match $ query px st where match (Event xWhole xPart x) = map (\e -> (Event xWhole xPart ((value e) x))) $ query pf $ fQuery xWhole fQuery (Arc s _) = st {arc = pure s} -- for discrete events, match with the onset (*>) pf px = Pattern Analog q where q st = concatMap match $ query px st where match (Event xWhole xPart x) = map (\e -> (Event xWhole xPart ((value e) x))) $ query pf st -- for continuous events, use the original query infixl 4 <*, *> instance Monad Pattern where return = pure p >>= f = unwrap (f <$> p) -- | Turns a pattern of patterns into a single pattern. -- (this is actually 'join') -- -- 1/ For query 'arc', get the events from the outer pattern @pp@ -- 2/ Query the inner pattern using the 'part' of the outer -- 3/ For each inner event, set the whole and part to be the intersection -- of the outer whole and part, respectively -- 4/ Concatenate all the events together (discarding wholes/parts that didn't intersect) -- -- TODO - what if a continuous pattern contains a discrete one, or vice-versa? unwrap :: Pattern (Pattern a) -> Pattern a unwrap pp = pp {query = q} where q st = concatMap (\(Event w p v) -> catMaybes $ map (munge w p) $ query v st {arc = p}) (query pp st) munge ow op (Event iw ip v') = do w' <- subArc ow iw p' <- subArc op ip return (Event w' p' v') -- | Turns a pattern of patterns into a single pattern. Like @unwrap@, -- but structure only comes from the inner pattern. innerJoin :: Pattern (Pattern a) -> Pattern a innerJoin pp = pp {query = q} where q st = concatMap (\(Event _ p v) -> catMaybes $ map munge $ query v st {arc = p}) (query pp st) where munge (Event iw ip v) = do p <- subArc (arc st) ip p' <- subArc p (arc st) return (Event iw p' v) -- | Turns a pattern of patterns into a single pattern. Like @unwrap@, -- but structure only comes from the outer pattern. outerJoin :: Pattern (Pattern a) -> Pattern a outerJoin pp = pp {query = q} where q st = concatMap (\(Event w p v) -> catMaybes $ map (munge w p) $ query v st {arc = (pure (start w))}) (query pp st) where munge ow op (Event _ _ v') = do p' <- subArc (arc st) op return (Event ow p' v') -- | Like @unwrap@, but cycles of the inner patterns are compressed to fit the -- timespan of the outer whole (or the original query if it's a continuous pattern?) -- TODO - what if a continuous pattern contains a discrete one, or vice-versa? unwrapSqueeze :: Pattern (Pattern a) -> Pattern a unwrapSqueeze pp = pp {query = q} where q st = concatMap (\(Event w p v) -> catMaybes $ map (munge w p) $ query (compressArc w v) st {arc = p}) (query pp st) munge oWhole oPart (Event iWhole iPart v) = do w' <- subArc oWhole iWhole p' <- subArc oPart iPart return (Event w' p' v) noOv :: String -> a noOv meth = error $ meth ++ ": not supported for patterns" class TolerantEq a where (~==) :: a -> a -> Bool instance TolerantEq Value where (VS a) ~== (VS b) = a == b (VI a) ~== (VI b) = a == b (VF a) ~== (VF b) = (abs (a - b)) < 0.000001 _ ~== _ = False instance TolerantEq ControlMap where a ~== b = (Map.differenceWith (\a' b' -> if a' ~== b' then Nothing else Just a') a b) == Map.empty instance TolerantEq (Event ControlMap) where (Event w p x) ~== (Event w' p' x') = w == w' && p == p' && x ~== x' instance TolerantEq a => TolerantEq ([a]) where as ~== bs = (length as == length bs) && (and $ map (\(a,b) -> a ~== b) $ zip as bs) instance Eq (Pattern a) where (==) = noOv "(==)" instance Ord a => Ord (Pattern a) where min = liftA2 min max = liftA2 max compare = noOv "compare" (<=) = noOv "(<=)" instance Num a => Num (Pattern a) where negate = fmap negate (+) = liftA2 (+) (*) = liftA2 (*) fromInteger = pure . fromInteger abs = fmap abs signum = fmap signum instance Enum a => Enum (Pattern a) where succ = fmap succ pred = fmap pred toEnum = pure . toEnum fromEnum = noOv "fromEnum" enumFrom = noOv "enumFrom" enumFromThen = noOv "enumFromThen" enumFromTo = noOv "enumFromTo" enumFromThenTo = noOv "enumFromThenTo" instance (Num a, Ord a) => Real (Pattern a) where toRational = noOv "toRational" instance (Integral a) => Integral (Pattern a) where quot = liftA2 quot rem = liftA2 rem div = liftA2 div mod = liftA2 mod toInteger = noOv "toInteger" x `quotRem` y = (x `quot` y, x `rem` y) x `divMod` y = (x `div` y, x `mod` y) instance (Fractional a) => Fractional (Pattern a) where recip = fmap recip fromRational = pure . fromRational instance (Floating a) => Floating (Pattern a) where pi = pure pi sqrt = fmap sqrt exp = fmap exp log = fmap log sin = fmap sin cos = fmap cos asin = fmap asin atan = fmap atan acos = fmap acos sinh = fmap sinh cosh = fmap cosh asinh = fmap asinh atanh = fmap atanh acosh = fmap acosh instance (RealFrac a) => RealFrac (Pattern a) where properFraction = noOv "properFraction" truncate = noOv "truncate" round = noOv "round" ceiling = noOv "ceiling" floor = noOv "floor" instance (RealFloat a) => RealFloat (Pattern a) where floatRadix = noOv "floatRadix" floatDigits = noOv "floatDigits" floatRange = noOv "floatRange" decodeFloat = noOv "decodeFloat" encodeFloat = ((.).(.)) pure encodeFloat exponent = noOv "exponent" significand = noOv "significand" scaleFloat n = fmap (scaleFloat n) isNaN = noOv "isNaN" isInfinite = noOv "isInfinite" isDenormalized = noOv "isDenormalized" isNegativeZero = noOv "isNegativeZero" isIEEE = noOv "isIEEE" atan2 = liftA2 atan2 instance Num (ControlMap) where negate = ((applyFIS negate negate id) <$>) (+) = Map.unionWith (fNum2 (+) (+)) (*) = Map.unionWith (fNum2 (*) (*)) fromInteger i = Map.singleton "n" $ VI $ fromInteger i signum = ((applyFIS signum signum id) <$>) abs = ((applyFIS abs abs id) <$>) instance Fractional ControlMap where recip = fmap (applyFIS recip id id) fromRational = Map.singleton "speed" . VF . fromRational showPattern :: Show a => Arc -> Pattern a -> String showPattern a p = intercalate "\n" $ map show $ queryArc p a instance (Show a) => Show (Pattern a) where show p = showPattern (Arc 0 1) p instance Show Value where show (VS s) = ('"':s) ++ "\"" show (VI i) = show i show (VF f) = show f ++ "f" instance {-# OVERLAPPING #-} Show (ControlMap) where show m = intercalate ", " $ map (\(name, v) -> name ++ ": " ++ show v) $ Map.toList m prettyRat :: Rational -> String prettyRat r | unit == 0 && frac > 0 = showFrac (numerator frac) (denominator frac) | otherwise = show unit ++ showFrac (numerator frac) (denominator frac) where unit = floor r :: Int frac = (r - (toRational unit)) showFrac :: Integer -> Integer -> String showFrac 0 _ = "" showFrac 1 2 = "½" showFrac 1 3 = "⅓" showFrac 2 3 = "⅔" showFrac 1 4 = "¼" showFrac 3 4 = "¾" showFrac 1 5 = "⅕" showFrac 2 5 = "⅖" showFrac 3 5 = "⅗" showFrac 4 5 = "⅘" showFrac 1 6 = "⅙" showFrac 5 6 = "⅚" showFrac 1 7 = "⅐" showFrac 1 8 = "⅛" showFrac 3 8 = "⅜" showFrac 5 8 = "⅝" showFrac 7 8 = "⅞" showFrac 1 9 = "⅑" showFrac 1 10 = "⅒" showFrac n d = fromMaybe plain $ do n' <- up n d' <- down d return $ n' ++ d' where plain = " " ++ show n ++ "/" ++ show d up 1 = Just "¹" up 2 = Just "²" up 3 = Just "³" up 4 = Just "⁴" up 5 = Just "⁵" up 6 = Just "⁶" up 7 = Just "⁷" up 8 = Just "⁸" up 9 = Just "⁹" up 0 = Just "⁰" up _ = Nothing down 1 = Just "₁" down 2 = Just "₂" down 3 = Just "₃" down 4 = Just "₄" down 5 = Just "₅" down 6 = Just "₆" down 7 = Just "₇" down 8 = Just "₈" down 9 = Just "₉" down 0 = Just "₀" down _ = Nothing ------------------------------------------------------------------------ -- * Internal functions empty :: Pattern a empty = Pattern {nature = Digital, query = const []} queryArc :: Pattern a -> Arc -> [Event a] queryArc p a = query p $ State a Map.empty isDigital :: Pattern a -> Bool isDigital = (== Digital) . nature isAnalog :: Pattern a -> Bool isAnalog = not . isDigital -- | Splits queries that span cycles. For example `query p (0.5, 1.5)` would be -- turned into two queries, `(0.5,1)` and `(1,1.5)`, and the results -- combined. Being able to assume queries don't span cycles often -- makes transformations easier to specify. splitQueries :: Pattern a -> Pattern a splitQueries p = p {query = \st -> concatMap (\a -> query p st {arc = a}) $ arcCyclesZW (arc st)} -- | Apply a function to the arcs/timespans (both whole and parts) of the result withResultArc :: (Arc -> Arc) -> Pattern a -> Pattern a withResultArc f pat = pat { query = map (\(Event w p e) -> Event (f w) (f p) e) . query pat} -- | Apply a function to the time (both start and end of the timespans -- of both whole and parts) of the result withResultTime :: (Time -> Time) -> Pattern a -> Pattern a withResultTime f = withResultArc (\(Arc s e) -> Arc (f s) (f e)) -- | Apply a function to the timespan of the query withQueryArc :: (Arc -> Arc) -> Pattern a -> Pattern a withQueryArc f p = p {query = query p . (\(State a m) -> State (f a) m)} -- | Apply a function to the time (both start and end) of the query withQueryTime :: (Time -> Time) -> Pattern a -> Pattern a withQueryTime f = withQueryArc (\(Arc s e) -> Arc (f s) (f e)) -- | @withEvent f p@ returns a new @Pattern@ with each event mapped over -- function @f@. withEvent :: (Event a -> Event b) -> Pattern a -> Pattern b withEvent f p = p {query = map f . query p} -- | @withEvent f p@ returns a new @Pattern@ with f applied to the resulting list of events for each query -- function @f@. withEvents :: ([Event a] -> [Event b]) -> Pattern a -> Pattern b withEvents f p = p {query = f . query p} -- | @withPart f p@ returns a new @Pattern@ with function @f@ applied -- to the part. withPart :: (Arc -> Arc) -> Pattern a -> Pattern a withPart f = withEvent (\(Event w p v) -> (Event w (f p) v)) -- | Apply one of three functions to a Value, depending on its type applyFIS :: (Double -> Double) -> (Int -> Int) -> (String -> String) -> Value -> Value applyFIS f _ _ (VF f') = VF $ f f' applyFIS _ f _ (VI i ) = VI $ f i applyFIS _ _ f (VS s ) = VS $ f s -- | Apply one of two functions to a Value, depending on its type (int -- or float; strings are ignored) fNum2 :: (Int -> Int -> Int) -> (Double -> Double -> Double) -> Value -> Value -> Value fNum2 fInt _ (VI a) (VI b) = VI $ fInt a b fNum2 _ fFloat (VF a) (VF b) = VF $ fFloat a b fNum2 _ fFloat (VI a) (VF b) = VF $ fFloat (fromIntegral a) b fNum2 _ fFloat (VF a) (VI b) = VF $ fFloat a (fromIntegral b) fNum2 _ _ x _ = x getI :: Value -> Maybe Int getI (VI i) = Just i getI _ = Nothing getF :: Value -> Maybe Double getF (VF f) = Just f getF _ = Nothing getS :: Value -> Maybe String getS (VS s) = Just s getS _ = Nothing compressArc :: Arc -> Pattern a -> Pattern a compressArc (Arc s e) p | s > e = empty | s > 1 || e > 1 = empty | s < 0 || e < 0 = empty | otherwise = s `rotR` _fastGap (1/(e-s)) p compressArcTo :: Arc -> Pattern a -> Pattern a compressArcTo (Arc s e) p = compressArc (Arc (cyclePos s) (e-(sam s))) p _fastGap :: Time -> Pattern a -> Pattern a _fastGap 0 _ = empty _fastGap r p = splitQueries $ withResultArc (\(Arc s e) -> Arc (sam s + ((s - sam s)/r')) (sam s + ((e - sam s)/r')) ) $ p {query = f} where r' = max r 1 -- zero width queries of the next sam should return zero in this case.. f st@(State a _) | start a' == nextSam (start a) = [] | otherwise = query p st {arc = a'} where mungeQuery t = sam t + (min 1 $ r' * cyclePos t) a' = (\(Arc s e) -> Arc (mungeQuery s) (mungeQuery e)) a -- | Shifts a pattern back in time by the given amount, expressed in cycles rotL :: Time -> Pattern a -> Pattern a rotL t p = withResultTime (subtract t) $ withQueryTime (+ t) p -- | Shifts a pattern forward in time by the given amount, expressed in cycles rotR :: Time -> Pattern a -> Pattern a rotR t = rotL (0-t) -- ** Event filters -- | Remove events from patterns that to not meet the given test filterValues :: (a -> Bool) -> Pattern a -> Pattern a filterValues f p = p {query = (filter (f . value)) . query p} -- | Turns a pattern of 'Maybe' values in to a pattern of values, -- dropping the events of 'Nothing'. filterJust :: Pattern (Maybe a) -> Pattern a filterJust p = fromJust <$> (filterValues (isJust) p) -- formerly known as playWhen filterWhen :: (Time -> Bool) -> Pattern a -> Pattern a filterWhen test p = p {query = filter (test . wholeStart) . query p} playFor :: Time -> Time -> Pattern a -> Pattern a playFor s e = filterWhen (\t -> and [t >= s, t < e]) -- ** Temporal parameter helpers tParam :: (t1 -> t2 -> Pattern a) -> Pattern t1 -> t2 -> Pattern a tParam f tv p = innerJoin $ (`f` p) <$> tv tParam2 :: (a -> b -> c -> Pattern d) -> Pattern a -> Pattern b -> c -> Pattern d tParam2 f a b p = innerJoin $ (\x y -> f x y p) <$> a <*> b tParam3 :: (a -> b -> c -> Pattern d -> Pattern e) -> (Pattern a -> Pattern b -> Pattern c -> Pattern d -> Pattern e) tParam3 f a b c p = innerJoin $ (\x y z -> f x y z p) <$> a <*> b <*> c tParamSqueeze :: (a -> Pattern b -> Pattern c) -> (Pattern a -> Pattern b -> Pattern c) tParamSqueeze f tv p = unwrapSqueeze $ (`f` p) <$> tv -- | Mark values in the first pattern which match with at least one -- value in the second pattern. matchManyToOne :: (b -> a -> Bool) -> Pattern a -> Pattern b -> Pattern (Bool, b) matchManyToOne f pa pb = pa {query = q} where q st = map match $ query pb st where match (Event xWhole xPart x) = Event xWhole xPart (or $ (map (f x) (as $ start xWhole)), x) as s = map value $ query pa $ fQuery s fQuery s = st {arc = (Arc s s)}