A dictionary that maintains a mapping from the values back to keys, allowing for modelling many-to-one relationships.
Example usage:
manyToOne : BiDict String Int
manyToOne =
BiDict.empty
|> BiDict.insert "A" 1
|> BiDict.insert "B" 2
|> BiDict.insert "C" 1
|> BiDict.insert "D" 4
BiDict.getReverse 1 manyToOne
--> Set.fromList ["A", "C"]This module in particular uses assoc-list and assoc-set
under the hood to get rid of the comparable constraint on keys that's usually
associated with Dicts and Sets.
Get the keys associated with a value. If the value is not found, return an empty set.
Get a list of unique values in the dictionary.
Get a count of unique values in the dictionary.
Convert a dictionary into a reverse association list of value-keys pairs.
Insert a key-value pair into a dictionary. Replaces value when there is a collision.
Update the value of a dictionary for a specific key with a given function.
Remove a key-value pair from a dictionary. If the key is not found, no changes are made.
Get the value associated with a key. If the key is not found, return
Nothing. This is useful when you are not sure if a key will be in the
dictionary.
animals = fromList [ ("Tom", Cat), ("Jerry", Mouse) ]
get "Tom" animals == Just Cat
get "Jerry" animals == Just Mouse
get "Spike" animals == NothingGet all of the keys in a dictionary, sorted from lowest to highest.
keys (fromList [ ( 0, "Alice" ), ( 1, "Bob" ) ]) == [ 0, 1 ]Get all of the values in a dictionary, in the order of their keys.
values (fromList [ ( 0, "Alice" ), ( 1, "Bob" ) ]) == [ "Alice", "Bob" ]Convert a dictionary into an association list of key-value pairs, sorted by keys.
Fold over the key-value pairs in a dictionary from lowest key to highest key.
getAges users =
Dict.foldl addAge [] users
addAge _ user ages =
user.age :: ages
-- getAges users == [33,19,28]Fold over the key-value pairs in a dictionary from highest key to lowest key.
getAges users =
Dict.foldr addAge [] users
addAge _ user ages =
user.age :: ages
-- getAges users == [28,19,33]Keep only the key-value pairs that pass the given test.
Partition a dictionary according to some test. The first dictionary contains all key-value pairs which passed the test, and the second contains the pairs that did not.
Combine two dictionaries. If there is a collision, preference is given to the first dictionary.
Keep a key-value pair when its key appears in the second dictionary. Preference is given to values in the first dictionary.
Keep a key-value pair when its key does not appear in the second dictionary.
The most general way of combining two dictionaries. You provide three accumulators for when a given key appears:
You then traverse all the keys from lowest to highest, building up whatever you want.
The underlying data structure. Think about it as