HLearn-datastructures-1.0.0: src/HLearn/DataStructures/SortedVector.hs
-- | A `SortedVector` is a vector that maintains the invariant that all elements are sorted. Whenever an element is added/removed, the vector is automatically adjusted. Because element positions can be changed in this way, it does not make sense to index the vector by specific locations.
module HLearn.DataStructures.SortedVector
( SortedVector
)
where
import Control.Applicative
import qualified Data.Foldable as F
import Data.List
import Debug.Trace
import GHC.TypeLits
import qualified Data.Vector as V
import qualified Control.ConstraintKinds as CK
import HLearn.Algebra
import HLearn.Models.Distributions
-------------------------------------------------------------------------------
-- data types
newtype SortedVector a = SortedVector { vector :: V.Vector a}
deriving (Read,Show,Eq,Ord)
bst2list :: SortedVector a -> [a]
bst2list (SortedVector vec) = V.toList vec
elem :: (Ord a) => a -> (SortedVector a) -> Bool
elem a (SortedVector vec) = go 0 (V.length vec - 1)
where
go lower upper
| lower==upper = (vec V.! lower)==a
| a > (vec V.! mid) = go (mid+1) upper
| a < (vec V.! mid) = go lower (mid-1)
| otherwise = True -- a==(vec V.! mid)
where mid = floor $ (fromIntegral $ lower+upper)/2
-------------------------------------------------------------------------------
-- Algebra
instance (Ord a) => Monoid (SortedVector a) where
{-# INLINE mempty #-}
mempty = SortedVector $ V.empty
{-# INLINE mappend #-}
(SortedVector va) `mappend` (SortedVector vb) = SortedVector $ V.fromList $ merge2 (V.toList va) (V.toList vb)
where
merge2 xs [] = xs
merge2 [] ys = ys
merge2 (x:xs) (y:ys) =
case compare x y of
LT -> x: merge2 xs (y:ys)
otherwise -> y: merge2 (x:xs) ys
instance (Ord a, Invertible a) => Group (SortedVector a) where
{-# INLINE inverse #-}
inverse (SortedVector vec) = SortedVector $ V.map mkinverse vec
---------------------------------------
instance F.Foldable SortedVector where
foldr f b (SortedVector vec) = V.foldr f b vec
instance CK.Functor SortedVector where
type FunctorConstraint SortedVector a = Ord a
fmap f (SortedVector v) = SortedVector . V.fromList . sort . V.toList $ fmap f v
instance CK.Pointed SortedVector where
point = SortedVector . V.singleton
instance CK.Applicative SortedVector where
(<*>) = undefined
instance CK.Monad SortedVector where
type MonadConstraint SortedVector a = Ord a
(>>=) = flip concatMapa
concatMapa :: (Ord a, Ord b) => (a -> SortedVector b) -> SortedVector a -> SortedVector b
concatMapa f v = reduce $ CK.fmap f v
join :: SortedVector (SortedVector a) -> SortedVector a
join = undefined
-------------------------------------------------------------------------------
-- Training
instance (Ord a) => HomTrainer (SortedVector a) where
type Datapoint (SortedVector a) = a
train1dp dp = SortedVector $ V.singleton dp