Data.IntMap.Merge.Strict

Copyright	(c) wren romano 2016
License	BSD-style
Maintainer	[email protected]
Portability	portable
Safe Haskell	Trustworthy
Language	Haskell98

Simple merge tactic types

type SimpleWhenMissing = WhenMissing Identity Source

A tactic for dealing with keys present in one map but not the other in merge.

A tactic of type SimpleWhenMissing x z is an abstract representation of a function of type Key -> x -> Maybe z.

Since: containers-0.5.9

type SimpleWhenMatched = WhenMatched Identity Source

A tactic for dealing with keys present in both maps in merge.

A tactic of type SimpleWhenMatched x y z is an abstract representation of a function of type Key -> x -> y -> Maybe z.

Since: containers-0.5.9

General combining function

merge Source

Merge two maps.

merge takes two WhenMissing tactics, a WhenMatched tactic and two maps. It uses the tactics to merge the maps. Its behavior is best understood via its fundamental tactics, mapMaybeMissing and zipWithMaybeMatched.

Consider

merge (mapMaybeMissing g1)
             (mapMaybeMissing g2)
             (zipWithMaybeMatched f)
             m1 m2

Take, for example,

m1 = [(0, 'a'), (1, 'b'), (3, 'c'), (4, 'd')]
m2 = [(1, "one"), (2, "two"), (4, "three")]

merge will first "align" these maps by key:

m1 = [(0, 'a'), (1, 'b'),               (3, 'c'), (4, 'd')]
m2 =           [(1, "one"), (2, "two"),           (4, "three")]

It will then pass the individual entries and pairs of entries to g1, g2, or f as appropriate:

maybes = [g1 0 'a', f 1 'b' "one", g2 2 "two", g1 3 'c', f 4 'd' "three"]

This produces a Maybe for each key:

keys =     0        1          2           3        4
results = [Nothing, Just True, Just False, Nothing, Just True]

Finally, the Just results are collected into a map:

return value = [(1, True), (2, False), (4, True)]

The other tactics below are optimizations or simplifications of mapMaybeMissing for special cases. Most importantly,

• dropMissing drops all the keys.
• preserveMissing leaves all the entries alone.

When merge is given three arguments, it is inlined at the call site. To prevent excessive inlining, you should typically use merge to define your custom combining functions.

Examples:

unionWithKey f = merge preserveMissing preserveMissing (zipWithMatched f)

intersectionWithKey f = merge dropMissing dropMissing (zipWithMatched f)

differenceWith f = merge diffPreserve diffDrop f

symmetricDifference = merge diffPreserve diffPreserve (\ _ _ _ -> Nothing)

mapEachPiece f g h = merge (diffMapWithKey f) (diffMapWithKey g)

Since: containers-0.5.9

WhenMatched tactics

zipWithMaybeMatched :: Applicative f => (Key -> x -> y -> Maybe z) -> WhenMatched f x y z Source

When a key is found in both maps, apply a function to the key and values and maybe use the result in the merged map.

zipWithMaybeMatched :: (k -> x -> y -> Maybe z)
                    -> SimpleWhenMatched k x y z

zipWithMatched :: Applicative f => (Key -> x -> y -> z) -> WhenMatched f x y z Source

When a key is found in both maps, apply a function to the key and values and use the result in the merged map.

zipWithMatched :: (k -> x -> y -> z)
               -> SimpleWhenMatched k x y z

WhenMissing tactics

mapMaybeMissing :: Applicative f => (Key -> x -> Maybe y) -> WhenMissing f x y Source

Map over the entries whose keys are missing from the other map, optionally removing some. This is the most powerful SimpleWhenMissing tactic, but others are usually more efficient.

mapMaybeMissing :: (k -> x -> Maybe y) -> SimpleWhenMissing k x y

mapMaybeMissing f = traverseMaybeMissing (\k x -> pure (f k x))

but mapMaybeMissing uses fewer unnecessary Applicative operations.

dropMissing :: Applicative f => WhenMissing f x y Source

Drop all the entries whose keys are missing from the other map.

dropMissing :: SimpleWhenMissing x y

dropMissing = mapMaybeMissing (\_ _ -> Nothing)

but dropMissing is much faster.

Since: containers-0.5.9

preserveMissing :: Applicative f => WhenMissing f x x Source

Preserve, unchanged, the entries whose keys are missing from the other map.

preserveMissing :: SimpleWhenMissing x x

preserveMissing = Merge.Lazy.mapMaybeMissing (\_ x -> Just x)

but preserveMissing is much faster.

Since: containers-0.5.9

mapMissing :: Applicative f => (Key -> x -> y) -> WhenMissing f x y Source

Map over the entries whose keys are missing from the other map.

mapMissing :: (k -> x -> y) -> SimpleWhenMissing k x y

mapMissing f = mapMaybeMissing (\k x -> Just $ f k x)

but mapMissing is somewhat faster.

filterMissing :: Applicative f => (Key -> x -> Bool) -> WhenMissing f x x Source

Filter the entries whose keys are missing from the other map.

filterMissing :: (k -> x -> Bool) -> SimpleWhenMissing x x

filterMissing f = Merge.Lazy.mapMaybeMissing $ \k x -> guard (f k x) *> Just x

but this should be a little faster.

Since: containers-0.5.9

Applicative merge tactic types

data WhenMissing f x y Source

A tactic for dealing with keys present in one map but not the other in merge or mergeA.

A tactic of type WhenMissing f k x z is an abstract representation of a function of type Key -> x -> f (Maybe z).

Since: containers-0.5.9

data WhenMatched f x y z Source

A tactic for dealing with keys present in both maps in merge or mergeA.

A tactic of type WhenMatched f x y z is an abstract representation of a function of type Key -> x -> y -> f (Maybe z).

Since: containers-0.5.9

Applicative general combining function

mergeA Source

An applicative version of merge.

mergeA takes two WhenMissing tactics, a WhenMatched tactic and two maps. It uses the tactics to merge the maps. Its behavior is best understood via its fundamental tactics, traverseMaybeMissing and zipWithMaybeAMatched.

Consider

mergeA (traverseMaybeMissing g1)
              (traverseMaybeMissing g2)
              (zipWithMaybeAMatched f)
              m1 m2

Take, for example,

m1 = [(0, 'a'), (1, 'b'), (3,'c'), (4, 'd')]
m2 = [(1, "one"), (2, "two"), (4, "three")]

mergeA will first "align" these maps by key:

m1 = [(0, 'a'), (1, 'b'),               (3, 'c'), (4, 'd')]
m2 =           [(1, "one"), (2, "two"),           (4, "three")]

It will then pass the individual entries and pairs of entries to g1, g2, or f as appropriate:

actions = [g1 0 'a', f 1 'b' "one", g2 2 "two", g1 3 'c', f 4 'd' "three"]

Next, it will perform the actions in the actions list in order from left to right.

keys =     0        1          2           3        4
results = [Nothing, Just True, Just False, Nothing, Just True]

Finally, the Just results are collected into a map:

return value = [(1, True), (2, False), (4, True)]

The other tactics below are optimizations or simplifications of traverseMaybeMissing for special cases. Most importantly,

• dropMissing drops all the keys.
• preserveMissing leaves all the entries alone.
• mapMaybeMissing does not use the Applicative context.

When mergeA is given three arguments, it is inlined at the call site. To prevent excessive inlining, you should generally only use mergeA to define custom combining functions.

Since: containers-0.5.9

WhenMatched tactics

The tactics described for merge work for mergeA as well. Furthermore, the following are available.

zipWithMaybeAMatched :: Applicative f => (Key -> x -> y -> f (Maybe z)) -> WhenMatched f x y z Source

When a key is found in both maps, apply a function to the key and values, perform the resulting action, and maybe use the result in the merged map.

This is the fundamental WhenMatched tactic.

zipWithAMatched :: Applicative f => (Key -> x -> y -> f z) -> WhenMatched f x y z Source

When a key is found in both maps, apply a function to the key and values to produce an action and use its result in the merged map.

WhenMissing tactics

The tactics described for merge work for mergeA as well. Furthermore, the following are available.

traverseMaybeMissing :: Applicative f => (Key -> x -> f (Maybe y)) -> WhenMissing f x y Source

Traverse over the entries whose keys are missing from the other map, optionally producing values to put in the result. This is the most powerful WhenMissing tactic, but others are usually more efficient.

traverseMissing :: Applicative f => (Key -> x -> f y) -> WhenMissing f x y Source

Traverse over the entries whose keys are missing from the other map.

filterAMissing :: Applicative f => (Key -> x -> f Bool) -> WhenMissing f x x Source

Filter the entries whose keys are missing from the other map using some Applicative action.

filterAMissing f = Merge.Lazy.traverseMaybeMissing $
  \k x -> (\b -> guard b *> Just x) <$> f k x

but this should be a little faster.

Since: containers-0.5.9

Covariant maps for tactics

mapWhenMissing :: Functor f => (a -> b) -> WhenMissing f x a -> WhenMissing f x b Source

Map covariantly over a WhenMissing f k x.

mapWhenMatched :: Functor f => (a -> b) -> WhenMatched f x y a -> WhenMatched f x y b Source

Map covariantly over a WhenMatched f k x y.

Miscellaneous functions on tactics

runWhenMatched :: WhenMatched f x y z -> Key -> x -> y -> f (Maybe z) Source

Along with zipWithMaybeAMatched, witnesses the isomorphism between WhenMatched f x y z and Key -> x -> y -> f (Maybe z).

Since: containers-0.5.9

runWhenMissing :: WhenMissing f x y -> Key -> x -> f (Maybe y) Source

Along with traverseMaybeMissing, witnesses the isomorphism between WhenMissing f x y and Key -> x -> f (Maybe y).

Since: containers-0.5.9