balance(Tree1) -> Tree2

Types:

Tree1 = Tree2 = **tree**(Key, Value)

Rebalances *Tree1*. Note that this is rarely necessary, but may be motivated when a large number of nodes have been deleted from the tree without further insertions. Rebalancing could then be forced in order to minimise lookup times, since deletion only does not rebalance the tree.

delete(Key, Tree1) -> Tree2

Types:

Tree1 = Tree2 = **tree**(Key, Value)

Removes the node with key *Key* from *Tree1*; returns new tree. Assumes that the key is present in the tree, crashes otherwise.

delete_any(Key, Tree1) -> Tree2

Types:

Tree1 = Tree2 = **tree**(Key, Value)

Removes the node with key *Key* from *Tree1* if the key is present in the tree, otherwise does nothing; returns new tree.

empty() -> tree()

Returns a new empty tree

enter(Key, Value, Tree1) -> Tree2

Types:

Tree1 = Tree2 = **tree**(Key, Value)

Inserts *Key* with value *Value* into *Tree1* if the key is not present in the tree, otherwise updates *Key* to value *Value* in *Tree1*. Returns the new tree.

from_orddict(List) -> Tree

Types:

List = [{Key, Value}]

Tree = **tree**(Key, Value)

Turns an ordered list *List* of key-value tuples into a tree. The list must not contain duplicate keys.

get(Key, Tree) -> Value

Types:

Tree = **tree**(Key, Value)

Retrieves the value stored with *Key* in *Tree*. Assumes that the key is present in the tree, crashes otherwise.

insert(Key, Value, Tree1) -> Tree2

Types:

Tree1 = Tree2 = **tree**(Key, Value)

Inserts *Key* with value *Value* into *Tree1*; returns the new tree. Assumes that the key is not present in the tree, crashes otherwise.

is_defined(Key, Tree) -> boolean()

Types:

Tree = **tree**(Key, Value :: term())

Returns *true* if *Key* is present in *Tree*, otherwise *false*.

is_empty(Tree) -> boolean()

Types:

Tree = **tree()**

Returns *true* if *Tree* is an empty tree, and *false* otherwise.

iterator(Tree) -> Iter

Types:

Tree = **tree**(Key, Value)

Iter = **iter**(Key, Value)

Returns an iterator that can be used for traversing the entries of *Tree*; see *next/1*. The implementation of this is very efficient; traversing the whole tree using *next/1* is only slightly slower than getting the list of all elements using *to_list/1* and traversing that. The main advantage of the iterator approach is that it does not require the complete list of all elements to be built in memory at one time.

iterator_from(Key, Tree) -> Iter

Types:

Tree = **tree**(Key, Value)

Iter = **iter**(Key, Value)

Returns an iterator that can be used for traversing the entries of *Tree*; see *next/1*. The difference as compared to the iterator returned by *iterator/1* is that the first key greater than or equal to *Key* is returned.

keys(Tree) -> [Key]

Types:

Tree = **tree**(Key, Value :: term())

Returns the keys in *Tree* as an ordered list.

largest(Tree) -> {Key, Value}

Types:

Tree = **tree**(Key, Value)

Returns *{Key, Value}*, where *Key* is the largest key in *Tree*, and *Value* is the value associated with this key. Assumes that the tree is nonempty.

lookup(Key, Tree) -> none | {value, Value}

Types:

Tree = **tree**(Key, Value)

Looks up *Key* in *Tree*; returns *{value, Value}*, or *none* if *Key* is not present.

map(Function, Tree1) -> Tree2

Types:

Function = fun((K :: Key, V1 :: Value1) -> V2 :: Value2)

Tree1 = **tree**(Key, Value1)

Tree2 = **tree**(Key, Value2)

Maps the function F(K, V1) -> V2 to all key-value pairs of the tree *Tree1* and returns a new tree *Tree2* with the same set of keys as *Tree1* and the new set of values *V2*.

next(Iter1) -> none | {Key, Value, Iter2}

Types:

Iter1 = Iter2 = **iter**(Key, Value)

Returns *{Key, Value, Iter2}* where *Key* is the smallest key referred to by the iterator *Iter1*, and *Iter2* is the new iterator to be used for traversing the remaining nodes, or the atom *none* if no nodes remain.

size(Tree) -> integer() >= 0

Types:

Tree = **tree()**

Returns the number of nodes in *Tree*.

smallest(Tree) -> {Key, Value}

Types:

Tree = **tree**(Key, Value)

Returns *{Key, Value}*, where *Key* is the smallest key in *Tree*, and *Value* is the value associated with this key. Assumes that the tree is nonempty.

take_largest(Tree1) -> {Key, Value, Tree2}

Types:

Tree1 = Tree2 = **tree**(Key, Value)

Returns *{Key, Value, Tree2}*, where *Key* is the largest key in *Tree1*, *Value* is the value associated with this key, and *Tree2* is this tree with the corresponding node deleted. Assumes that the tree is nonempty.

take_smallest(Tree1) -> {Key, Value, Tree2}

Types:

Tree1 = Tree2 = **tree**(Key, Value)

Returns *{Key, Value, Tree2}*, where *Key* is the smallest key in *Tree1*, *Value* is the value associated with this key, and *Tree2* is this tree with the corresponding node deleted. Assumes that the tree is nonempty.

to_list(Tree) -> [{Key, Value}]

Types:

Tree = **tree**(Key, Value)

Converts a tree into an ordered list of key-value tuples.

update(Key, Value, Tree1) -> Tree2

Types:

Tree1 = Tree2 = **tree**(Key, Value)

Updates *Key* to value *Value* in *Tree1*; returns the new tree. Assumes that the key is present in the tree.

values(Tree) -> [Value]

Types:

Tree = **tree**(Key :: term(), Value)

Returns the values in *Tree* as an ordered list, sorted by their corresponding keys. Duplicates are not removed.