+union Tip t2 = t2
+union t1 Tip = t1
+union t1 t2 = hedgeUnion (const LT) (const GT) t1 t2
+
+hedgeUnion cmplo cmphi t1 Tip
+ = t1
+hedgeUnion cmplo cmphi Tip (Bin _ x l r)
+ = join x (filterGt cmplo l) (filterLt cmphi r)
+hedgeUnion cmplo cmphi (Bin _ x l r) t2
+ = join x (hedgeUnion cmplo cmpx l (trim cmplo cmpx t2))
+ (hedgeUnion cmpx cmphi r (trim cmpx cmphi t2))
+ where
+ cmpx y = compare x y
+
+{--------------------------------------------------------------------
+ Difference
+--------------------------------------------------------------------}
+-- | /O(n+m)/. Difference of two sets.
+-- The implementation uses an efficient /hedge/ algorithm comparable with /hedge-union/.
+difference :: Ord a => Set a -> Set a -> Set a
+difference Tip t2 = Tip
+difference t1 Tip = t1
+difference t1 t2 = hedgeDiff (const LT) (const GT) t1 t2
+
+hedgeDiff cmplo cmphi Tip t
+ = Tip
+hedgeDiff cmplo cmphi (Bin _ x l r) Tip
+ = join x (filterGt cmplo l) (filterLt cmphi r)
+hedgeDiff cmplo cmphi t (Bin _ x l r)
+ = merge (hedgeDiff cmplo cmpx (trim cmplo cmpx t) l)
+ (hedgeDiff cmpx cmphi (trim cmpx cmphi t) r)
+ where
+ cmpx y = compare x y
+
+{--------------------------------------------------------------------
+ Intersection
+--------------------------------------------------------------------}
+-- | /O(n+m)/. The intersection of two sets.
+-- Elements of the result come from the first set.
+intersection :: Ord a => Set a -> Set a -> Set a
+intersection Tip t = Tip
+intersection t Tip = Tip
+intersection t1@(Bin s1 x1 l1 r1) t2@(Bin s2 x2 l2 r2) =
+ if s1 >= s2 then
+ let (lt,found,gt) = splitLookup x2 t1
+ tl = intersection lt l2
+ tr = intersection gt r2
+ in case found of
+ Just x -> join x tl tr
+ Nothing -> merge tl tr
+ else let (lt,found,gt) = splitMember x1 t2
+ tl = intersection l1 lt
+ tr = intersection r1 gt
+ in if found then join x1 tl tr
+ else merge tl tr
+
+{--------------------------------------------------------------------
+ Filter and partition
+--------------------------------------------------------------------}
+-- | /O(n)/. Filter all elements that satisfy the predicate.
+filter :: Ord a => (a -> Bool) -> Set a -> Set a
+filter p Tip = Tip
+filter p (Bin _ x l r)
+ | p x = join x (filter p l) (filter p r)
+ | otherwise = merge (filter p l) (filter p r)
+
+-- | /O(n)/. Partition the set into two sets, one with all elements that satisfy
+-- the predicate and one with all elements that don't satisfy the predicate.
+-- See also 'split'.
+partition :: Ord a => (a -> Bool) -> Set a -> (Set a,Set a)
+partition p Tip = (Tip,Tip)
+partition p (Bin _ x l r)
+ | p x = (join x l1 r1,merge l2 r2)
+ | otherwise = (merge l1 r1,join x l2 r2)
+ where
+ (l1,l2) = partition p l
+ (r1,r2) = partition p r
+
+{----------------------------------------------------------------------
+ Map
+----------------------------------------------------------------------}
+
+-- | /O(n*log n)/.
+-- @'map' f s@ is the set obtained by applying @f@ to each element of @s@.
+--
+-- It's worth noting that the size of the result may be smaller if,
+-- for some @(x,y)@, @x \/= y && f x == f y@
+
+map :: (Ord a, Ord b) => (a->b) -> Set a -> Set b
+map f = fromList . List.map f . toList
+
+-- | /O(n)/. The
+--
+-- @'mapMonotonic' f s == 'map' f s@, but works only when @f@ is monotonic.
+-- /The precondition is not checked./
+-- Semi-formally, we have:
+--
+-- > and [x < y ==> f x < f y | x <- ls, y <- ls]
+-- > ==> mapMonotonic f s == map f s
+-- > where ls = toList s
+
+mapMonotonic :: (a->b) -> Set a -> Set b
+mapMonotonic f Tip = Tip
+mapMonotonic f (Bin sz x l r) =
+ Bin sz (f x) (mapMonotonic f l) (mapMonotonic f r)
+
+
+{--------------------------------------------------------------------
+ Fold
+--------------------------------------------------------------------}
+-- | /O(n)/. Fold over the elements of a set in an unspecified order.
+fold :: (a -> b -> b) -> b -> Set a -> b
+fold f z s
+ = foldr f z s
+
+-- | /O(n)/. Post-order fold.
+foldr :: (a -> b -> b) -> b -> Set a -> b
+foldr f z Tip = z
+foldr f z (Bin _ x l r) = foldr f (f x (foldr f z r)) l
+
+{--------------------------------------------------------------------
+ List variations
+--------------------------------------------------------------------}
+-- | /O(n)/. The elements of a set.
+elems :: Set a -> [a]
+elems s
+ = toList s
+
+{--------------------------------------------------------------------
+ Lists
+--------------------------------------------------------------------}
+-- | /O(n)/. Convert the set to a list of elements.
+toList :: Set a -> [a]
+toList s
+ = toAscList s
+
+-- | /O(n)/. Convert the set to an ascending list of elements.
+toAscList :: Set a -> [a]
+toAscList t
+ = foldr (:) [] t
+
+
+-- | /O(n*log n)/. Create a set from a list of elements.
+fromList :: Ord a => [a] -> Set a
+fromList xs
+ = foldlStrict ins empty xs
+ where
+ ins t x = insert x t
+
+{--------------------------------------------------------------------
+ Building trees from ascending/descending lists can be done in linear time.
+
+ Note that if [xs] is ascending that:
+ fromAscList xs == fromList xs
+--------------------------------------------------------------------}
+-- | /O(n)/. Build a set from an ascending list in linear time.
+-- /The precondition (input list is ascending) is not checked./
+fromAscList :: Eq a => [a] -> Set a
+fromAscList xs
+ = fromDistinctAscList (combineEq xs)
+ where
+ -- [combineEq xs] combines equal elements with [const] in an ordered list [xs]
+ combineEq xs
+ = case xs of
+ [] -> []
+ [x] -> [x]
+ (x:xx) -> combineEq' x xx
+
+ combineEq' z [] = [z]
+ combineEq' z (x:xs)
+ | z==x = combineEq' z xs
+ | otherwise = z:combineEq' x xs
+
+
+-- | /O(n)/. Build a set from an ascending list of distinct elements in linear time.
+-- /The precondition (input list is strictly ascending) is not checked./
+fromDistinctAscList :: [a] -> Set a
+fromDistinctAscList xs
+ = build const (length xs) xs
+ where
+ -- 1) use continutations so that we use heap space instead of stack space.
+ -- 2) special case for n==5 to build bushier trees.
+ build c 0 xs = c Tip xs
+ build c 5 xs = case xs of
+ (x1:x2:x3:x4:x5:xx)
+ -> c (bin x4 (bin x2 (singleton x1) (singleton x3)) (singleton x5)) xx
+ build c n xs = seq nr $ build (buildR nr c) nl xs
+ where
+ nl = n `div` 2
+ nr = n - nl - 1
+
+ buildR n c l (x:ys) = build (buildB l x c) n ys
+ buildB l x c r zs = c (bin x l r) zs
+
+{--------------------------------------------------------------------
+ Eq converts the set to a list. In a lazy setting, this
+ actually seems one of the faster methods to compare two trees
+ and it is certainly the simplest :-)
+--------------------------------------------------------------------}
+instance Eq a => Eq (Set a) where
+ t1 == t2 = (size t1 == size t2) && (toAscList t1 == toAscList t2)
+
+{--------------------------------------------------------------------
+ Ord
+--------------------------------------------------------------------}
+
+instance Ord a => Ord (Set a) where
+ compare s1 s2 = compare (toAscList s1) (toAscList s2)
+
+{--------------------------------------------------------------------
+ Show
+--------------------------------------------------------------------}
+instance Show a => Show (Set a) where
+ showsPrec p xs = showParen (p > 10) $
+ showString "fromList " . shows (toList xs)
+
+showSet :: (Show a) => [a] -> ShowS
+showSet []
+ = showString "{}"
+showSet (x:xs)
+ = showChar '{' . shows x . showTail xs
+ where
+ showTail [] = showChar '}'
+ showTail (x:xs) = showChar ',' . shows x . showTail xs
+
+{--------------------------------------------------------------------
+ Read
+--------------------------------------------------------------------}
+instance (Read a, Ord a) => Read (Set a) where
+#ifdef __GLASGOW_HASKELL__
+ readPrec = parens $ prec 10 $ do
+ Ident "fromList" <- lexP
+ xs <- readPrec
+ return (fromList xs)
+
+ readListPrec = readListPrecDefault
+#else
+ readsPrec p = readParen (p > 10) $ \ r -> do
+ ("fromList",s) <- lex r
+ (xs,t) <- reads s
+ return (fromList xs,t)
+#endif
+
+{--------------------------------------------------------------------
+ Typeable/Data
+--------------------------------------------------------------------}
+
+#include "Typeable.h"
+INSTANCE_TYPEABLE1(Set,setTc,"Set")
+
+{--------------------------------------------------------------------
+ Utility functions that return sub-ranges of the original
+ tree. Some functions take a comparison function as argument to
+ allow comparisons against infinite values. A function [cmplo x]
+ should be read as [compare lo x].
+
+ [trim cmplo cmphi t] A tree that is either empty or where [cmplo x == LT]
+ and [cmphi x == GT] for the value [x] of the root.
+ [filterGt cmp t] A tree where for all values [k]. [cmp k == LT]
+ [filterLt cmp t] A tree where for all values [k]. [cmp k == GT]
+
+ [split k t] Returns two trees [l] and [r] where all values
+ in [l] are <[k] and all keys in [r] are >[k].
+ [splitMember k t] Just like [split] but also returns whether [k]
+ was found in the tree.
+--------------------------------------------------------------------}
+
+{--------------------------------------------------------------------
+ [trim lo hi t] trims away all subtrees that surely contain no
+ values between the range [lo] to [hi]. The returned tree is either
+ empty or the key of the root is between @lo@ and @hi@.
+--------------------------------------------------------------------}
+trim :: (a -> Ordering) -> (a -> Ordering) -> Set a -> Set a
+trim cmplo cmphi Tip = Tip
+trim cmplo cmphi t@(Bin sx x l r)
+ = case cmplo x of
+ LT -> case cmphi x of
+ GT -> t
+ le -> trim cmplo cmphi l
+ ge -> trim cmplo cmphi r
+
+trimMemberLo :: Ord a => a -> (a -> Ordering) -> Set a -> (Bool, Set a)
+trimMemberLo lo cmphi Tip = (False,Tip)
+trimMemberLo lo cmphi t@(Bin sx x l r)
+ = case compare lo x of
+ LT -> case cmphi x of
+ GT -> (member lo t, t)
+ le -> trimMemberLo lo cmphi l
+ GT -> trimMemberLo lo cmphi r
+ EQ -> (True,trim (compare lo) cmphi r)
+
+
+{--------------------------------------------------------------------
+ [filterGt x t] filter all values >[x] from tree [t]
+ [filterLt x t] filter all values <[x] from tree [t]
+--------------------------------------------------------------------}
+filterGt :: (a -> Ordering) -> Set a -> Set a
+filterGt cmp Tip = Tip
+filterGt cmp (Bin sx x l r)
+ = case cmp x of
+ LT -> join x (filterGt cmp l) r
+ GT -> filterGt cmp r
+ EQ -> r
+
+filterLt :: (a -> Ordering) -> Set a -> Set a
+filterLt cmp Tip = Tip
+filterLt cmp (Bin sx x l r)
+ = case cmp x of
+ LT -> filterLt cmp l
+ GT -> join x l (filterLt cmp r)
+ EQ -> l
+
+
+{--------------------------------------------------------------------
+ Split
+--------------------------------------------------------------------}
+-- | /O(log n)/. The expression (@'split' x set@) is a pair @(set1,set2)@
+-- where all elements in @set1@ are lower than @x@ and all elements in
+-- @set2@ larger than @x@. @x@ is not found in neither @set1@ nor @set2@.
+split :: Ord a => a -> Set a -> (Set a,Set a)
+split x Tip = (Tip,Tip)
+split x (Bin sy y l r)
+ = case compare x y of
+ LT -> let (lt,gt) = split x l in (lt,join y gt r)
+ GT -> let (lt,gt) = split x r in (join y l lt,gt)
+ EQ -> (l,r)
+
+-- | /O(log n)/. Performs a 'split' but also returns whether the pivot
+-- element was found in the original set.
+splitMember :: Ord a => a -> Set a -> (Set a,Bool,Set a)
+splitMember x t = let (l,m,r) = splitLookup x t in
+ (l,maybe False (const True) m,r)
+
+-- | /O(log n)/. Performs a 'split' but also returns the pivot
+-- element that was found in the original set.
+splitLookup :: Ord a => a -> Set a -> (Set a,Maybe a,Set a)
+splitLookup x Tip = (Tip,Nothing,Tip)
+splitLookup x (Bin sy y l r)
+ = case compare x y of
+ LT -> let (lt,found,gt) = splitLookup x l in (lt,found,join y gt r)
+ GT -> let (lt,found,gt) = splitLookup x r in (join y l lt,found,gt)
+ EQ -> (l,Just y,r)
+
+{--------------------------------------------------------------------
+ Utility functions that maintain the balance properties of the tree.
+ All constructors assume that all values in [l] < [x] and all values
+ in [r] > [x], and that [l] and [r] are valid trees.
+
+ In order of sophistication:
+ [Bin sz x l r] The type constructor.
+ [bin x l r] Maintains the correct size, assumes that both [l]
+ and [r] are balanced with respect to each other.
+ [balance x l r] Restores the balance and size.
+ Assumes that the original tree was balanced and
+ that [l] or [r] has changed by at most one element.
+ [join x l r] Restores balance and size.
+
+ Furthermore, we can construct a new tree from two trees. Both operations
+ assume that all values in [l] < all values in [r] and that [l] and [r]
+ are valid:
+ [glue l r] Glues [l] and [r] together. Assumes that [l] and
+ [r] are already balanced with respect to each other.
+ [merge l r] Merges two trees and restores balance.
+
+ Note: in contrast to Adam's paper, we use (<=) comparisons instead
+ of (<) comparisons in [join], [merge] and [balance].
+ Quickcheck (on [difference]) showed that this was necessary in order
+ to maintain the invariants. It is quite unsatisfactory that I haven't
+ been able to find out why this is actually the case! Fortunately, it
+ doesn't hurt to be a bit more conservative.
+--------------------------------------------------------------------}
+
+{--------------------------------------------------------------------
+ Join
+--------------------------------------------------------------------}
+join :: a -> Set a -> Set a -> Set a
+join x Tip r = insertMin x r
+join x l Tip = insertMax x l
+join x l@(Bin sizeL y ly ry) r@(Bin sizeR z lz rz)
+ | delta*sizeL <= sizeR = balance z (join x l lz) rz
+ | delta*sizeR <= sizeL = balance y ly (join x ry r)
+ | otherwise = bin x l r
+
+
+-- insertMin and insertMax don't perform potentially expensive comparisons.
+insertMax,insertMin :: a -> Set a -> Set a
+insertMax x t
+ = case t of
+ Tip -> singleton x
+ Bin sz y l r
+ -> balance y l (insertMax x r)
+
+insertMin x t
+ = case t of
+ Tip -> singleton x
+ Bin sz y l r
+ -> balance y (insertMin x l) r
+
+{--------------------------------------------------------------------
+ [merge l r]: merges two trees.
+--------------------------------------------------------------------}
+merge :: Set a -> Set a -> Set a
+merge Tip r = r
+merge l Tip = l
+merge l@(Bin sizeL x lx rx) r@(Bin sizeR y ly ry)
+ | delta*sizeL <= sizeR = balance y (merge l ly) ry
+ | delta*sizeR <= sizeL = balance x lx (merge rx r)
+ | otherwise = glue l r
+
+{--------------------------------------------------------------------
+ [glue l r]: glues two trees together.
+ Assumes that [l] and [r] are already balanced with respect to each other.
+--------------------------------------------------------------------}
+glue :: Set a -> Set a -> Set a
+glue Tip r = r
+glue l Tip = l
+glue l r
+ | size l > size r = let (m,l') = deleteFindMax l in balance m l' r
+ | otherwise = let (m,r') = deleteFindMin r in balance m l r'
+
+
+-- | /O(log n)/. Delete and find the minimal element.
+--
+-- > deleteFindMin set = (findMin set, deleteMin set)
+
+deleteFindMin :: Set a -> (a,Set a)
+deleteFindMin t
+ = case t of
+ Bin _ x Tip r -> (x,r)
+ Bin _ x l r -> let (xm,l') = deleteFindMin l in (xm,balance x l' r)
+ Tip -> (error "Set.deleteFindMin: can not return the minimal element of an empty set", Tip)
+
+-- | /O(log n)/. Delete and find the maximal element.
+--
+-- > deleteFindMax set = (findMax set, deleteMax set)
+deleteFindMax :: Set a -> (a,Set a)
+deleteFindMax t
+ = case t of
+ Bin _ x l Tip -> (x,l)
+ Bin _ x l r -> let (xm,r') = deleteFindMax r in (xm,balance x l r')
+ Tip -> (error "Set.deleteFindMax: can not return the maximal element of an empty set", Tip)
+
+-- | /O(log n)/. Retrieves the minimal key of the set, and the set stripped from that element
+-- @fail@s (in the monad) when passed an empty set.
+minView :: Monad m => Set a -> m (Set a, a)
+minView Tip = fail "Set.minView: empty set"
+minView x = return (swap $ deleteFindMin x)
+
+-- | /O(log n)/. Retrieves the maximal key of the set, and the set stripped from that element
+-- @fail@s (in the monad) when passed an empty set.
+maxView :: Monad m => Set a -> m (Set a, a)
+maxView Tip = fail "Set.maxView: empty set"
+maxView x = return (swap $ deleteFindMax x)
+
+swap (a,b) = (b,a)
+
+
+
+{--------------------------------------------------------------------
+ [balance x l r] balances two trees with value x.
+ The sizes of the trees should balance after decreasing the
+ size of one of them. (a rotation).
+
+ [delta] is the maximal relative difference between the sizes of
+ two trees, it corresponds with the [w] in Adams' paper,
+ or equivalently, [1/delta] corresponds with the $\alpha$
+ in Nievergelt's paper. Adams shows that [delta] should
+ be larger than 3.745 in order to garantee that the
+ rotations can always restore balance.
+
+ [ratio] is the ratio between an outer and inner sibling of the
+ heavier subtree in an unbalanced setting. It determines
+ whether a double or single rotation should be performed
+ to restore balance. It is correspondes with the inverse
+ of $\alpha$ in Adam's article.
+
+ Note that:
+ - [delta] should be larger than 4.646 with a [ratio] of 2.
+ - [delta] should be larger than 3.745 with a [ratio] of 1.534.
+
+ - A lower [delta] leads to a more 'perfectly' balanced tree.
+ - A higher [delta] performs less rebalancing.
+
+ - Balancing is automatic for random data and a balancing
+ scheme is only necessary to avoid pathological worst cases.
+ Almost any choice will do in practice
+
+ - Allthough it seems that a rather large [delta] may perform better
+ than smaller one, measurements have shown that the smallest [delta]
+ of 4 is actually the fastest on a wide range of operations. It
+ especially improves performance on worst-case scenarios like
+ a sequence of ordered insertions.
+
+ Note: in contrast to Adams' paper, we use a ratio of (at least) 2
+ to decide whether a single or double rotation is needed. Allthough
+ he actually proves that this ratio is needed to maintain the
+ invariants, his implementation uses a (invalid) ratio of 1.
+ He is aware of the problem though since he has put a comment in his
+ original source code that he doesn't care about generating a
+ slightly inbalanced tree since it doesn't seem to matter in practice.
+ However (since we use quickcheck :-) we will stick to strictly balanced
+ trees.
+--------------------------------------------------------------------}
+delta,ratio :: Int
+delta = 4
+ratio = 2
+
+balance :: a -> Set a -> Set a -> Set a
+balance x l r
+ | sizeL + sizeR <= 1 = Bin sizeX x l r
+ | sizeR >= delta*sizeL = rotateL x l r
+ | sizeL >= delta*sizeR = rotateR x l r
+ | otherwise = Bin sizeX x l r
+ where
+ sizeL = size l
+ sizeR = size r
+ sizeX = sizeL + sizeR + 1
+
+-- rotate
+rotateL x l r@(Bin _ _ ly ry)
+ | size ly < ratio*size ry = singleL x l r
+ | otherwise = doubleL x l r
+
+rotateR x l@(Bin _ _ ly ry) r
+ | size ry < ratio*size ly = singleR x l r
+ | otherwise = doubleR x l r
+
+-- basic rotations
+singleL x1 t1 (Bin _ x2 t2 t3) = bin x2 (bin x1 t1 t2) t3
+singleR x1 (Bin _ x2 t1 t2) t3 = bin x2 t1 (bin x1 t2 t3)
+
+doubleL x1 t1 (Bin _ x2 (Bin _ x3 t2 t3) t4) = bin x3 (bin x1 t1 t2) (bin x2 t3 t4)
+doubleR x1 (Bin _ x2 t1 (Bin _ x3 t2 t3)) t4 = bin x3 (bin x2 t1 t2) (bin x1 t3 t4)
+
+
+{--------------------------------------------------------------------
+ The bin constructor maintains the size of the tree
+--------------------------------------------------------------------}
+bin :: a -> Set a -> Set a -> Set a
+bin x l r
+ = Bin (size l + size r + 1) x l r
+
+
+{--------------------------------------------------------------------
+ Utilities
+--------------------------------------------------------------------}
+foldlStrict f z xs
+ = case xs of
+ [] -> z
+ (x:xx) -> let z' = f z x in seq z' (foldlStrict f z' xx)
+
+
+{--------------------------------------------------------------------
+ Debugging
+--------------------------------------------------------------------}
+-- | /O(n)/. Show the tree that implements the set. The tree is shown
+-- in a compressed, hanging format.
+showTree :: Show a => Set a -> String
+showTree s
+ = showTreeWith True False s
+
+
+{- | /O(n)/. The expression (@showTreeWith hang wide map@) shows
+ the tree that implements the set. If @hang@ is
+ @True@, a /hanging/ tree is shown otherwise a rotated tree is shown. If
+ @wide@ is 'True', an extra wide version is shown.
+
+> Set> putStrLn $ showTreeWith True False $ fromDistinctAscList [1..5]
+> 4
+> +--2
+> | +--1
+> | +--3
+> +--5
+>
+> Set> putStrLn $ showTreeWith True True $ fromDistinctAscList [1..5]
+> 4
+> |
+> +--2
+> | |
+> | +--1
+> | |
+> | +--3
+> |
+> +--5
+>
+> Set> putStrLn $ showTreeWith False True $ fromDistinctAscList [1..5]
+> +--5
+> |
+> 4
+> |
+> | +--3
+> | |
+> +--2
+> |
+> +--1
+
+-}
+showTreeWith :: Show a => Bool -> Bool -> Set a -> String
+showTreeWith hang wide t
+ | hang = (showsTreeHang wide [] t) ""
+ | otherwise = (showsTree wide [] [] t) ""
+
+showsTree :: Show a => Bool -> [String] -> [String] -> Set a -> ShowS
+showsTree wide lbars rbars t
+ = case t of
+ Tip -> showsBars lbars . showString "|\n"
+ Bin sz x Tip Tip
+ -> showsBars lbars . shows x . showString "\n"
+ Bin sz x l r
+ -> showsTree wide (withBar rbars) (withEmpty rbars) r .
+ showWide wide rbars .
+ showsBars lbars . shows x . showString "\n" .
+ showWide wide lbars .
+ showsTree wide (withEmpty lbars) (withBar lbars) l
+
+showsTreeHang :: Show a => Bool -> [String] -> Set a -> ShowS
+showsTreeHang wide bars t
+ = case t of
+ Tip -> showsBars bars . showString "|\n"
+ Bin sz x Tip Tip
+ -> showsBars bars . shows x . showString "\n"
+ Bin sz x l r
+ -> showsBars bars . shows x . showString "\n" .
+ showWide wide bars .
+ showsTreeHang wide (withBar bars) l .
+ showWide wide bars .
+ showsTreeHang wide (withEmpty bars) r
+
+
+showWide wide bars
+ | wide = showString (concat (reverse bars)) . showString "|\n"
+ | otherwise = id
+
+showsBars :: [String] -> ShowS
+showsBars bars
+ = case bars of
+ [] -> id
+ _ -> showString (concat (reverse (tail bars))) . showString node
+
+node = "+--"
+withBar bars = "| ":bars
+withEmpty bars = " ":bars
+
+{--------------------------------------------------------------------
+ Assertions
+--------------------------------------------------------------------}
+-- | /O(n)/. Test if the internal set structure is valid.
+valid :: Ord a => Set a -> Bool
+valid t
+ = balanced t && ordered t && validsize t
+
+ordered t
+ = bounded (const True) (const True) t
+ where
+ bounded lo hi t
+ = case t of
+ Tip -> True
+ Bin sz x l r -> (lo x) && (hi x) && bounded lo (<x) l && bounded (>x) hi r
+
+balanced :: Set a -> Bool
+balanced t
+ = case t of
+ Tip -> True
+ Bin sz x l r -> (size l + size r <= 1 || (size l <= delta*size r && size r <= delta*size l)) &&
+ balanced l && balanced r
+
+
+validsize t
+ = (realsize t == Just (size t))
+ where
+ realsize t
+ = case t of
+ Tip -> Just 0
+ Bin sz x l r -> case (realsize l,realsize r) of
+ (Just n,Just m) | n+m+1 == sz -> Just sz
+ other -> Nothing
+
+{-
+{--------------------------------------------------------------------
+ Testing
+--------------------------------------------------------------------}
+testTree :: [Int] -> Set Int
+testTree xs = fromList xs
+test1 = testTree [1..20]
+test2 = testTree [30,29..10]
+test3 = testTree [1,4,6,89,2323,53,43,234,5,79,12,9,24,9,8,423,8,42,4,8,9,3]
+
+{--------------------------------------------------------------------
+ QuickCheck
+--------------------------------------------------------------------}
+qcheck prop
+ = check config prop
+ where
+ config = Config
+ { configMaxTest = 500
+ , configMaxFail = 5000
+ , configSize = \n -> (div n 2 + 3)
+ , configEvery = \n args -> let s = show n in s ++ [ '\b' | _ <- s ]
+ }
+
+
+{--------------------------------------------------------------------
+ Arbitrary, reasonably balanced trees
+--------------------------------------------------------------------}
+instance (Enum a) => Arbitrary (Set a) where
+ arbitrary = sized (arbtree 0 maxkey)
+ where maxkey = 10000
+
+arbtree :: (Enum a) => Int -> Int -> Int -> Gen (Set a)
+arbtree lo hi n
+ | n <= 0 = return Tip
+ | lo >= hi = return Tip
+ | otherwise = do{ i <- choose (lo,hi)
+ ; m <- choose (1,30)
+ ; let (ml,mr) | m==(1::Int)= (1,2)
+ | m==2 = (2,1)
+ | m==3 = (1,1)
+ | otherwise = (2,2)
+ ; l <- arbtree lo (i-1) (n `div` ml)
+ ; r <- arbtree (i+1) hi (n `div` mr)
+ ; return (bin (toEnum i) l r)
+ }
+
+
+{--------------------------------------------------------------------
+ Valid tree's
+--------------------------------------------------------------------}
+forValid :: (Enum a,Show a,Testable b) => (Set a -> b) -> Property
+forValid f
+ = forAll arbitrary $ \t ->
+-- classify (balanced t) "balanced" $
+ classify (size t == 0) "empty" $
+ classify (size t > 0 && size t <= 10) "small" $
+ classify (size t > 10 && size t <= 64) "medium" $
+ classify (size t > 64) "large" $
+ balanced t ==> f t
+
+forValidIntTree :: Testable a => (Set Int -> a) -> Property
+forValidIntTree f
+ = forValid f
+
+forValidUnitTree :: Testable a => (Set Int -> a) -> Property
+forValidUnitTree f
+ = forValid f
+
+
+prop_Valid
+ = forValidUnitTree $ \t -> valid t
+
+{--------------------------------------------------------------------
+ Single, Insert, Delete
+--------------------------------------------------------------------}
+prop_Single :: Int -> Bool
+prop_Single x
+ = (insert x empty == singleton x)
+
+prop_InsertValid :: Int -> Property
+prop_InsertValid k
+ = forValidUnitTree $ \t -> valid (insert k t)
+
+prop_InsertDelete :: Int -> Set Int -> Property
+prop_InsertDelete k t
+ = not (member k t) ==> delete k (insert k t) == t
+
+prop_DeleteValid :: Int -> Property
+prop_DeleteValid k
+ = forValidUnitTree $ \t ->
+ valid (delete k (insert k t))
+
+{--------------------------------------------------------------------
+ Balance
+--------------------------------------------------------------------}
+prop_Join :: Int -> Property
+prop_Join x
+ = forValidUnitTree $ \t ->
+ let (l,r) = split x t
+ in valid (join x l r)
+
+prop_Merge :: Int -> Property
+prop_Merge x
+ = forValidUnitTree $ \t ->
+ let (l,r) = split x t
+ in valid (merge l r)
+