Data.Set.NonEmpty

Non-Empty Finite Sets

The NESet e type represents a non-empty set of elements of type e. Most operations require that e be an instance of the Ord class. A NESet is strict in its elements.

See documentation for NESet for information on how to convert and manipulate such non-empty set.

This module essentially re-imports the API of Data.Set and its Set type, along with semantics and asymptotics. In most situations, asymptotics are different only by a constant factor. In some situations, asmyptotics are even better (constant-time instead of log-time). All typeclass constraints are identical to their Data.Set counterparts.

Because NESet is implemented using Set, all of the caveats of using Set apply (such as the limitation of the maximum size of sets).

All functions take non-empty sets as inputs. In situations where their results can be guarunteed to also be non-empty, they also return non-empty sets. In situations where their results could potentially be empty, Set is returned instead.

Some functions (partition, spanAntitone, split) have modified return types to account for possible configurations of non-emptiness.

This module is intended to be imported qualified, to avoid name clashes with Prelude and Data.Set functions:

import qualified Data.Set.NonEmpty as NES

Non-Empty Set Type

data NESet a

A non-empty (by construction) set of values a. At least one value exists in an NESet a at all times.

Functions that take an NESet can safely operate on it with the assumption that it has at least one item.

Functions that return an NESet provide an assurance that the result has at least one item.

Data.Set.NonEmpty re-exports the API of Data.Set, faithfully reproducing asymptotics, typeclass constraints, and semantics. Functions that ensure that input and output sets are both non-empty (like insert) return NESet, but functions that might potentially return an empty map (like delete) return a Set instead.

You can directly construct an NESet with the API from Data.Set.NonEmpty; it's more or less the same as constructing a normal Set, except you don't have access to empty. There are also a few ways to construct an NESet from a Set:

1. The nonEmptySet smart constructor will convert a Set a into a Maybe (NESet a), returning Nothing if the original Set was empty.
2. You can use the insertSet family of functions to insert a value into a Set to create a guaranteed NESet.
3. You can use the IsNonEmpty and IsEmpty patterns to "pattern match" on a Set to reveal it as either containing a NESet or an empty map.
4. withNonEmpty offers a continuation-based interface for deconstructing a Set and treating it as if it were an NESet.

You can convert an NESet into a Set with toSet or IsNonEmpty, essentially "obscuring" the non-empty property from the type.

Instances

Foldable NESet

Traverses elements in ascending order

foldr1, foldl1, minimum, maximum are all total.

Defined in Data.Set.NonEmpty.Internal

Methods

fold :: Monoid m => NESet m -> m

foldMap :: Monoid m => (a -> m) -> NESet a -> m

foldMap' :: Monoid m => (a -> m) -> NESet a -> m

foldr :: (a -> b -> b) -> b -> NESet a -> b

foldr' :: (a -> b -> b) -> b -> NESet a -> b

foldl :: (b -> a -> b) -> b -> NESet a -> b

foldl' :: (b -> a -> b) -> b -> NESet a -> b

foldr1 :: (a -> a -> a) -> NESet a -> a

foldl1 :: (a -> a -> a) -> NESet a -> a

toList :: NESet a -> [a]

null :: NESet a -> Bool

length :: NESet a -> Int

elem :: Eq a => a -> NESet a -> Bool

maximum :: Ord a => NESet a -> a

minimum :: Ord a => NESet a -> a

sum :: Num a => NESet a -> a

product :: Num a => NESet a -> a

Eq1 NESet

Defined in Data.Set.NonEmpty.Internal

Methods

liftEq :: (a -> b -> Bool) -> NESet a -> NESet b -> Bool

Ord1 NESet

Defined in Data.Set.NonEmpty.Internal

Methods

liftCompare :: (a -> b -> Ordering) -> NESet a -> NESet b -> Ordering

Show1 NESet

Defined in Data.Set.NonEmpty.Internal

Methods

liftShowsPrec :: (Int -> a -> ShowS) -> ([a] -> ShowS) -> Int -> NESet a -> ShowS

liftShowList :: (Int -> a -> ShowS) -> ([a] -> ShowS) -> [NESet a] -> ShowS

Foldable1 NESet

Traverses elements in ascending order

Defined in Data.Set.NonEmpty.Internal

Methods

fold1 :: Semigroup m => NESet m -> m

foldMap1 :: Semigroup m => (a -> m) -> NESet a -> m

toNonEmpty :: NESet a -> NonEmpty a

Eq a => Eq (NESet a)

Defined in Data.Set.NonEmpty.Internal

Methods

(==) :: NESet a -> NESet a -> Bool

(/=) :: NESet a -> NESet a -> Bool

(Data a, Ord a) => Data (NESet a)

Defined in Data.Set.NonEmpty.Internal

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> NESet a -> c (NESet a)

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c (NESet a)

toConstr :: NESet a -> Constr

dataTypeOf :: NESet a -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c (NESet a))

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c (NESet a))

gmapT :: (forall b. Data b => b -> b) -> NESet a -> NESet a

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> NESet a -> r

gmapQr :: forall r r'. (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> NESet a -> r

gmapQ :: (forall d. Data d => d -> u) -> NESet a -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> NESet a -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> NESet a -> m (NESet a)

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> NESet a -> m (NESet a)

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> NESet a -> m (NESet a)

Ord a => Ord (NESet a)

Defined in Data.Set.NonEmpty.Internal

Methods

compare :: NESet a -> NESet a -> Ordering

(<) :: NESet a -> NESet a -> Bool

(<=) :: NESet a -> NESet a -> Bool

(>) :: NESet a -> NESet a -> Bool

(>=) :: NESet a -> NESet a -> Bool

max :: NESet a -> NESet a -> NESet a

min :: NESet a -> NESet a -> NESet a

(Read a, Ord a) => Read (NESet a)

Defined in Data.Set.NonEmpty.Internal

Methods

readsPrec :: Int -> ReadS (NESet a)

readList :: ReadS [NESet a]

readPrec :: ReadPrec (NESet a)

readListPrec :: ReadPrec [NESet a]

Show a => Show (NESet a)

Defined in Data.Set.NonEmpty.Internal

Methods

showsPrec :: Int -> NESet a -> ShowS

show :: NESet a -> String

showList :: [NESet a] -> ShowS

Ord a => Semigroup (NESet a)

Left-biased union

Defined in Data.Set.NonEmpty.Internal

Methods

(<>) :: NESet a -> NESet a -> NESet a

sconcat :: NonEmpty (NESet a) -> NESet a

stimes :: Integral b => b -> NESet a -> NESet a

NFData a => NFData (NESet a)

Defined in Data.Set.NonEmpty.Internal

Methods

rnf :: NESet a -> ()

(FromJSON a, Ord a) => FromJSON (NESet a)

Defined in Data.Set.NonEmpty.Internal

Methods

parseJSON :: Value -> Parser (NESet a)

parseJSONList :: Value -> Parser [NESet a]

ToJSON a => ToJSON (NESet a)

Defined in Data.Set.NonEmpty.Internal

Methods

toJSON :: NESet a -> Value

toEncoding :: NESet a -> Encoding

toJSONList :: [NESet a] -> Value

toEncodingList :: [NESet a] -> Encoding

Conversions between empty and non-empty sets

pattern IsNonEmpty :: NESet a -> Set a

O(1) match, O(log n) usage of contents. The IsNonEmpty and IsEmpty patterns allow you to treat a Set as if it were either a IsNonEmpty n (where n is a NESet) or an IsEmpty.

For example, you can pattern match on a Set:

myFunc :: Set X -> Y
myFunc (IsNonEmpty n) =  -- here, the user provided a non-empty set, and n is the NESet
myFunc IsEmpty        =  -- here, the user provided an empty set

Matching on IsNonEmpty n means that the original Set was not empty, and you have a verified-non-empty NESet n to use.

Note that patching on this pattern is O(1). However, using the contents requires a O(log n) cost that is deferred until after the pattern is matched on (and is not incurred at all if the contents are never used).

A case statement handling both IsNonEmpty and IsEmpty provides complete coverage.

This is a bidirectional pattern, so you can use IsNonEmpty to convert a NESet back into a Set, obscuring its non-emptiness (see toSet).

pattern IsEmpty :: Set a

O(1). The IsNonEmpty and IsEmpty patterns allow you to treat a Set as if it were either a IsNonEmpty n (where n is a NESet) or an IsEmpty.

Matching on IsEmpty means that the original Set was empty.

A case statement handling both IsNonEmpty and IsEmpty provides complete coverage.

This is a bidirectional pattern, so you can use IsEmpty as an expression, and it will be interpreted as empty.

See IsNonEmpty for more information.

nonEmptySet :: Set a -> Maybe (NESet a)

O(log n). Smart constructor for an NESet from a Set. Returns Nothing if the Set was originally actually empty, and Just n with an NESet, if the Set was not empty.

nonEmptySet and maybe empty toSet form an isomorphism: they are perfect structure-preserving inverses of eachother.

See IsNonEmpty for a pattern synonym that lets you "match on" the possiblity of a Set being an NESet.

nonEmptySet (Data.Set.fromList [3,5]) == Just (fromList (3:|[5]))

toSet :: NESet a -> Set a

O(log n). Convert a non-empty set back into a normal possibly-empty map, for usage with functions that expect Set.

Can be thought of as "obscuring" the non-emptiness of the set in its type. See the IsNotEmpty pattern.

nonEmptySet and maybe empty toSet form an isomorphism: they are perfect structure-preserving inverses of eachother.

toSet (fromList ((3,"a") :| [(5,"b")])) == Data.Set.fromList [(3,"a"), (5,"b")]

withNonEmpty

Arguments

:: r

value to return if set is empty

-> (NESet a -> r)

function to apply if set is not empty

-> Set a

-> r

O(log n). A general continuation-based way to consume a Set as if it were an NESet. withNonEmpty def f will take a Set. If set is empty, it will evaluate to def. Otherwise, a non-empty set NESet will be fed to the function f instead.

nonEmptySet == withNonEmpty Nothing Just

insertSet :: Ord a => a -> Set a -> NESet a

O(log n). Convert a Set into an NESet by adding a value. Because of this, we know that the set must have at least one element, and so therefore cannot be empty.

See insertSetMin for a version that is constant-time if the new value is strictly smaller than all values in the original set

insertSet 4 (Data.Set.fromList [5, 3]) == fromList (3 :| [4, 5])
insertSet 4 Data.Set.empty == singleton 4 "c"

insertSetMin :: a -> Set a -> NESet a

O(1) Convert a Set into an NESet by adding a value where the value is strictly less than all values in the input set The values in the original map must all be strictly greater than the new value. The precondition is not checked.

insertSetMin 2 (Data.Set.fromList [5, 3]) == fromList (2 :| [3, 5])
valid (insertSetMin 2 (Data.Set.fromList [5, 3])) == True
valid (insertSetMin 7 (Data.Set.fromList [5, 3])) == False
valid (insertSetMin 3 (Data.Set.fromList [5, 3])) == False

insertSetMax :: a -> Set a -> NESet a

O(log n) Convert a Set into an NESet by adding a value where the value is strictly less than all values in the input set The values in the original map must all be strictly greater than the new value. The precondition is not checked.

While this has the same asymptotics as insertSet, it saves a constant factor for key comparison (so may be helpful if comparison is expensive) and also does not require an Ord instance for the key type.

insertSetMin 7 (Data.Set.fromList [5, 3]) == fromList (3 :| [5, 7])
valid (insertSetMin 7 (Data.Set.fromList [5, 3])) == True
valid (insertSetMin 2 (Data.Set.fromList [5, 3])) == False
valid (insertSetMin 5 (Data.Set.fromList [5, 3])) == False

unsafeFromSet :: Set a -> NESet a

O(log n). Unsafe version of nonEmptySet. Coerces a Set into an NESet, but is undefined (throws a runtime exception when evaluation is attempted) for an empty Set.

Construction

singleton :: a -> NESet a

O(1). Create a singleton set.

fromList :: Ord a => NonEmpty a -> NESet a

O(n*log n). Create a set from a list of elements.

fromAscList :: Eq a => NonEmpty a -> NESet a

O(n). Build a set from an ascending list in linear time. /The precondition (input list is ascending) is not checked./

fromDescList :: Eq a => NonEmpty a -> NESet a

O(n). Build a set from a descending list in linear time. The precondition (input list is descending) is not checked.

fromDistinctAscList :: NonEmpty a -> NESet a

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.

fromDistinctDescList :: NonEmpty a -> NESet a

O(n). Build a set from a descending list of distinct elements in linear time. The precondition (input list is strictly descending) is not checked.

powerSet :: forall a. NESet a -> NESet (NESet a)

Calculate the power set of a non-empty: the set of all its (non-empty) subsets.

t `member` powerSet s == t `isSubsetOf` s

Example:

powerSet (fromList (1 :| [2,3])) =
  fromList (singleton 1 :| [ singleton 2
                           , singleton 3
                           , fromList (1 :| [2])
                           , fromList (1 :| [3])
                           , fromList (2 :| [3])
                           , fromList (1 :| [2,3])
                           ]
           )

We know that the result is non-empty because the result will always at least contain the original set.

Insertion

insert :: Ord a => a -> NESet a -> NESet a

O(log n). Insert an element in a set. If the set already contains an element equal to the given value, it is replaced with the new value.

Deletion

delete :: Ord a => a -> NESet a -> Set a

O(log n). Delete an element from a set.

Query

member :: Ord a => a -> NESet a -> Bool

O(log n). Is the element in the set?

notMember :: Ord a => a -> NESet a -> Bool

O(log n). Is the element not in the set?

lookupLT :: Ord a => a -> NESet a -> Maybe a

O(log n). Find largest element smaller than the given one.

lookupLT 3 (fromList (3 :| [5])) == Nothing
lookupLT 5 (fromList (3 :| [5])) == Just 3

lookupGT :: Ord a => a -> NESet a -> Maybe a

O(log n). Find smallest element greater than the given one.

lookupLT 4 (fromList (3 :| [5])) == Just 5
lookupLT 5 (fromList (3 :| [5])) == Nothing

lookupLE :: Ord a => a -> NESet a -> Maybe a

O(log n). Find largest element smaller or equal to the given one.

lookupLT 2 (fromList (3 :| [5])) == Nothing
lookupLT 4 (fromList (3 :| [5])) == Just 3
lookupLT 5 (fromList (3 :| [5])) == Just 5

lookupGE :: Ord a => a -> NESet a -> Maybe a

O(log n). Find smallest element greater or equal to the given one.

lookupLT 3 (fromList (3 :| [5])) == Just 3
lookupLT 4 (fromList (3 :| [5])) == Just 5
lookupLT 6 (fromList (3 :| [5])) == Nothing

size :: NESet a -> Int

O(1). The number of elements in the set. Guaranteed to be greater than zero.

isSubsetOf :: Ord a => NESet a -> NESet a -> Bool

O(n+m). Is this a subset? (s1 `isSubsetOf` s2) tells whether s1 is a subset of s2.

isProperSubsetOf :: Ord a => NESet a -> NESet a -> Bool

O(n+m). Is this a proper subset? (ie. a subset but not equal).

disjoint :: Ord a => NESet a -> NESet a -> Bool

O(n+m). Check whether two sets are disjoint (i.e. their intersection is empty).

disjoint (fromList (2:|[4,6]))   (fromList (1:|[3]))     == True
disjoint (fromList (2:|[4,6,8])) (fromList (2:|[3,5,7])) == False
disjoint (fromList (1:|[2]))     (fromList (1:|[2,3,4])) == False

Combine

union :: Ord a => NESet a -> NESet a -> NESet a

O(m*log(n/m + 1)), m <= n. The union of two sets, preferring the first set when equal elements are encountered.

unions :: (Foldable1 f, Ord a) => f (NESet a) -> NESet a

The union of a non-empty list of sets

difference :: Ord a => NESet a -> NESet a -> Set a

O(m*log(n/m + 1)), m <= n. Difference of two sets.

Returns a potentially empty set (Set) because the first set might be a subset of the second set, and therefore have all of its elements removed.

(\\) :: Ord a => NESet a -> NESet a -> Set a

Same as difference.

intersection :: Ord a => NESet a -> NESet a -> Set a

O(m*log(n/m + 1)), m <= n. The intersection of two sets.

Returns a potentially empty set (Set), because the two sets might have an empty intersection.

Elements of the result come from the first set, so for example

import qualified Data.Set.NonEmpty as NES
data AB = A | B deriving Show
instance Ord AB where compare _ _ = EQ
instance Eq AB where _ == _ = True
main = print (NES.singleton A `NES.intersection` NES.singleton B,
              NES.singleton B `NES.intersection` NES.singleton A)

prints (fromList (A:|[]),fromList (B:|[])).

cartesianProduct :: NESet a -> NESet b -> NESet (a, b)

Calculate the Cartesian product of two sets.

cartesianProduct xs ys = fromList $ liftA2 (,) (toList xs) (toList ys)

Example:

cartesianProduct (fromList (1:|[2])) (fromList ('a':|['b'])) =
  fromList ((1,'a') :| [(1,'b'), (2,'a'), (2,'b')])

disjointUnion :: NESet a -> NESet b -> NESet (Either a b)

Calculate the disjoint union of two sets.

 disjointUnion xs ys = map Left xs `union` map Right ys

Example:

disjointUnion (fromList (1:|[2])) (fromList ("hi":|["bye"])) =
  fromList (Left 1 :| [Left 2, Right "hi", Right "bye"])

Filter

filter :: (a -> Bool) -> NESet a -> Set a

O(n). Filter all elements that satisfy the predicate.

Returns a potentially empty set (Set) because the predicate might filter out all items in the original non-empty set.

takeWhileAntitone :: (a -> Bool) -> NESet a -> Set a

O(log n). Take while a predicate on the elements holds. The user is responsible for ensuring that for all elements j and k in the set, j < k ==> p j >= p k. See note at spanAntitone.

Returns a potentially empty set (Set) because the predicate might fail on the first input.

takeWhileAntitone p = Data.Set.fromDistinctAscList . Data.List.NonEmpty.takeWhile p . toList
takeWhileAntitone p = filter p

dropWhileAntitone :: (a -> Bool) -> NESet a -> Set a

O(log n). Drop while a predicate on the elements holds. The user is responsible for ensuring that for all elements j and k in the set, j < k ==> p j >= p k. See note at spanAntitone.

Returns a potentially empty set (Set) because the predicate might be true for all items.

dropWhileAntitone p = Data.Set.fromDistinctAscList . Data.List.NonEmpty.dropWhile p . toList
dropWhileAntitone p = filter (not . p)

spanAntitone :: (a -> Bool) -> NESet a -> These (NESet a) (NESet a)

O(log n). Divide a set at the point where a predicate on the elements stops holding. The user is responsible for ensuring that for all elements j and k in the set, j < k ==> p j >= p k.

Returns a These with potentially two non-empty sets:

• This n1 means that the predicate never failed for any item, returning the original set
• That n2 means that the predicate failed for the first item, returning the original set
• These n1 n2 gives n1 (the set up to the point where the predicate stops holding) and n2 (the set starting from the point where the predicate stops holding)

spanAntitone p xs = partition p xs

Note: if p is not actually antitone, then spanAntitone will split the set at some unspecified point where the predicate switches from holding to not holding (where the predicate is seen to hold before the first element and to fail after the last element).

partition :: (a -> Bool) -> NESet a -> These (NESet a) (NESet a)

O(n). Partition the map according to a predicate.

Returns a These with potentially two non-empty sets:

• This n1 means that the predicate was true for all items.
• That n2 means that the predicate was false for all items.
• These n1 n2 gives n1 (all of the items that were true for the predicate) and n2 (all of the items that were false for the predicate).

See also split.

partition (> 3) (fromList (5 :| [3])) == These (singleton 5) (singleton 3)
partition (< 7) (fromList (5 :| [3])) == This  (fromList (3 :| [5]))
partition (> 7) (fromList (5 :| [3])) == That  (fromList (3 :| [5]))

split :: Ord a => a -> NESet a -> Maybe (These (NESet a) (NESet a))

O(log n). The expression (split x set) is potentially a These containing up to two NESets based on splitting the set into sets containing items before and after the value x. It will never return a set that contains x itself.

• Nothing means that x was the only value in the the original set, and so there are no items before or after it.
• Just (This n1) means x was larger than or equal to all items in the set, and n1 is the entire original set (minus x, if it was present)
• Just (That n2) means x was smaller than or equal to all items in the set, and n2 is the entire original set (minus x, if it was present)
• Just (These n1 n2) gives n1 (the set of all values from the original set less than x) and n2 (the set of all values from the original set greater than x).

split 2 (fromList (5 :| [3])) == Just (That  (fromList (3 :| [5]))      )
split 3 (fromList (5 :| [3])) == Just (That  (singleton 5)              )
split 4 (fromList (5 :| [3])) == Just (These (singleton 3) (singleton 5))
split 5 (fromList (5 :| [3])) == Just (This  (singleton 3)              )
split 6 (fromList (5 :| [3])) == Just (This  (fromList (3 :| [5]))      )
split 5 (singleton 5)         == Nothing

splitMember :: Ord a => a -> NESet a -> (Bool, Maybe (These (NESet a) (NESet a)))

O(log n). The expression (splitMember x set) splits a set just like split but also returns member x set (whether or not x was in set)

splitMember 2 (fromList (5 :| [3])) == (False, Just (That  (fromList (3 :| [5)]))))
splitMember 3 (fromList (5 :| [3])) == (True , Just (That  (singleton 5)))
splitMember 4 (fromList (5 :| [3])) == (False, Just (These (singleton 3) (singleton 5)))
splitMember 5 (fromList (5 :| [3])) == (True , Just (This  (singleton 3))
splitMember 6 (fromList (5 :| [3])) == (False, Just (This  (fromList (3 :| [5])))
splitMember 5 (singleton 5)         == (True , Nothing)

splitRoot :: NESet a -> NonEmpty (NESet a)

O(1). Decompose a set into pieces based on the structure of the underlying tree. This function is useful for consuming a set in parallel.

No guarantee is made as to the sizes of the pieces; an internal, but deterministic process determines this. However, it is guaranteed that the pieces returned will be in ascending order (all elements in the first subset less than all elements in the second, and so on).

Note that the current implementation does not return more than four subsets, but you should not depend on this behaviour because it can change in the future without notice.

Indexed

lookupIndex :: Ord a => a -> NESet a -> Maybe Int

O(log n). Lookup the index of an element, which is its zero-based index in the sorted sequence of elements. The index is a number from 0 up to, but not including, the size of the set.

isJust   (lookupIndex 2 (fromList (5:|[3]))) == False
fromJust (lookupIndex 3 (fromList (5:|[3]))) == 0
fromJust (lookupIndex 5 (fromList (5:|[3]))) == 1
isJust   (lookupIndex 6 (fromList (5:|[3]))) == False

findIndex :: Ord a => a -> NESet a -> Int

O(log n). Return the index of an element, which is its zero-based index in the sorted sequence of elements. The index is a number from 0 up to, but not including, the size of the set. Calls error when the element is not a member of the set.

findIndex 2 (fromList (5:|[3]))    Error: element is not in the set
findIndex 3 (fromList (5:|[3])) == 0
findIndex 5 (fromList (5:|[3])) == 1
findIndex 6 (fromList (5:|[3]))    Error: element is not in the set

elemAt :: Int -> NESet a -> a

O(log n). Retrieve an element by its index, i.e. by its zero-based index in the sorted sequence of elements. If the index is out of range (less than zero, greater or equal to size of the set), error is called.

elemAt 0 (fromList (5:|[3])) == 3
elemAt 1 (fromList (5:|[3])) == 5
elemAt 2 (fromList (5:|[3]))    Error: index out of range

deleteAt :: Int -> NESet a -> Set a

O(log n). Delete the element at index, i.e. by its zero-based index in the sorted sequence of elements. If the index is out of range (less than zero, greater or equal to size of the set), error is called.

Returns a potentially empty set (Set), because this could potentailly delete the final element in a singleton set.

deleteAt 0    (fromList (5:|[3])) == singleton 5
deleteAt 1    (fromList (5:|[3])) == singleton 3
deleteAt 2    (fromList (5:|[3]))    Error: index out of range
deleteAt (-1) (fromList (5:|[3]))    Error: index out of range

take :: Int -> NESet a -> Set a

Take a given number of elements in order, beginning with the smallest ones.

Returns a potentailly empty set (Set), which can only happen when calling take 0.

take n = Data.Set.fromDistinctAscList . Data.List.NonEmpty.take n . toAscList

drop :: Int -> NESet a -> Set a

Drop a given number of elements in order, beginning with the smallest ones.

Returns a potentailly empty set (Set), in the case that drop is called with a number equal to or greater the number of items in the set, and we drop every item.

drop n = Data.Set.fromDistinctAscList . Data.List.NonEmpty.drop n . toAscList

splitAt :: Int -> NESet a -> These (NESet a) (NESet a)

O(log n). Split a set at a particular index i.

• This n1 means that there are less than i items in the set, and n1 is the original set.
• That n2 means i was 0; we dropped 0 items, so n2 is the original set.
• These n1 n2 gives n1 (taking i items from the original set) and n2 (dropping i items from the original set))

Map

map :: Ord b => (a -> b) -> NESet a -> NESet b

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

mapMonotonic :: (a -> b) -> NESet a -> NESet b

O(n). mapMonotonic f s == map f s, but works only when f is strictly increasing. 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 = Data.Foldable.toList s

Folds

foldr :: (a -> b -> b) -> b -> NESet a -> b

O(n). Fold the elements in the set using the given right-associative binary operator, such that foldr f z == foldr f z . toAscList.

For example,

elemsList set = foldr (:) [] set

foldl :: (a -> b -> a) -> a -> NESet b -> a

O(n). Fold the elements in the set using the given left-associative binary operator, such that foldl f z == foldl f z . toAscList.

For example,

descElemsList set = foldl (flip (:)) [] set

foldr1 :: Foldable t => (a -> a -> a) -> t a -> a

A variant of foldr that has no base case, and thus may only be applied to non-empty structures.

foldr1 f = foldr1 f . toList

foldl1 :: Foldable t => (a -> a -> a) -> t a -> a

A variant of foldl that has no base case, and thus may only be applied to non-empty structures.

foldl1 f = foldl1 f . toList

Strict folds

foldr' :: (a -> b -> b) -> b -> NESet a -> b

O(n). A strict version of foldr. Each application of the operator is evaluated before using the result in the next application. This function is strict in the starting value.

foldl' :: (a -> b -> a) -> a -> NESet b -> a

O(n). A strict version of foldl. Each application of the operator is evaluated before using the result in the next application. This function is strict in the starting value.

foldr1' :: (a -> a -> a) -> NESet a -> a

O(n). A strict version of foldr1. Each application of the operator is evaluated before using the result in the next application. This function is strict in the starting value.

foldl1' :: (a -> a -> a) -> NESet a -> a

O(n). A strict version of foldl1. Each application of the operator is evaluated before using the result in the next application. This function is strict in the starting value.

Min/Max

findMin :: NESet a -> a

O(1). The minimal element of a set. Note that this is total, making lookupMin obsolete. It is constant-time, so has better asymptotics than Data.Set.lookupMin and Data.Map.findMin as well.

findMin (fromList (5 :| [3])) == 3

findMax :: NESet a -> a

O(log n). The maximal key of a set Note that this is total, making lookupMin obsolete.

findMax (fromList (5 :| [3])) == 5

deleteMin :: NESet a -> Set a

O(1). Delete the minimal element. Returns a potentially empty set (Set), because we might delete the final item in a singleton set. It is constant-time, so has better asymptotics than Data.Set.deleteMin.

deleteMin (fromList (5 :| [3, 7])) == Data.Set.fromList [5, 7]
deleteMin (singleton 5) == Data.Set.empty

deleteMax :: NESet a -> Set a

O(log n). Delete the maximal element. Returns a potentially empty set (Set), because we might delete the final item in a singleton set.

deleteMax (fromList (5 :| [3, 7])) == Data.Set.fromList [3, 5]
deleteMax (singleton 5) == Data.Set.empty

deleteFindMin :: NESet a -> (a, Set a)

O(1). Delete and find the minimal element. It is constant-time, so has better asymptotics that Data.Set.minView for Set.

Note that unlike Data.Set.deleteFindMin for Set, this cannot ever fail, and so is a total function. However, the result Set is potentially empty, since the original set might have contained just a single item.

deleteFindMin (fromList (5 :| [3, 10])) == (3, Data.Set.fromList [5, 10])

deleteFindMax :: NESet a -> (a, Set a)

O(log n). Delete and find the minimal element.

Note that unlike Data.Set.deleteFindMax for Set, this cannot ever fail, and so is a total function. However, the result Set is potentially empty, since the original set might have contained just a single item.

deleteFindMax (fromList (5 :| [3, 10])) == (10, Data.Set.fromList [3, 5])

Conversion

List

elems :: NESet a -> NonEmpty a

O(n). An alias of toAscList. The elements of a set in ascending order.

toList :: NESet a -> NonEmpty a

O(n). Convert the set to a non-empty list of elements.

toAscList :: NESet a -> NonEmpty a

O(n). Convert the set to an ascending non-empty list of elements.

toDescList :: NESet a -> NonEmpty a

O(n). Convert the set to a descending non-empty list of elements.

Debugging

valid :: Ord a => NESet a -> Bool

O(n). Test if the internal set structure is valid.