Go18DS (Go 1.18+ Data Structures)

Implementation of various data structures and algorithms in Go.

This is based on the GoDS library developed by Emir Pasic. Since the target is for Go 1.18+, it is inherently generic-aware.

Data Structures

Containers
- Lists
- Sets
- Stacks
  - LinkedListStack
  - ArrayStack
- Maps
- Trees
  - RedBlackTree
  - AVLTree
  - BTree
  - BinaryHeap
Functions
Appendix

Containers

All data structures implement the container interface with the following methods:

type Container[T any] interface {
    Empty() bool
    Size() int
    Clear()
    Values() []T
}

Containers are either ordered or unordered. All ordered containers provide stateful iterators and some of them allow enumerable functions.

Data	Structure	Ordered	Iterator	Enumerable	Referenced by
Lists
	ArrayList	yes	yes*	yes	index
	SinglyLinkedList	yes	yes	yes	index
	DoublyLinkedList	yes	yes*	yes	index
Sets
	HashSet	no	no	no	index
	TreeSet	yes	yes*	yes	index
	LinkedHashSet	yes	yes*	yes	index
Stacks
	LinkedListStack	yes	yes	no	index
	ArrayStack	yes	yes*	no	index
Maps
	HashMap	no	no	no	key
	TreeMap	yes	yes*	yes	key
	LinkedHashMap	yes	yes*	yes	key
	HashBidiMap	no	no	no	key*
	TreeBidiMap	yes	yes*	yes	key*
Trees
	RedBlackTree	yes	yes*	no	key
	AVLTree	yes	yes*	no	key
	BTree	yes	yes*	no	key
	BinaryHeap	yes	yes*	no	index
			_^*reversible		_{^{*bidirectional}}

Lists

A list is a data structure that stores values and may have repeated values.

Implements Container interface.

type List[T comparable] interface {
    Get(index int) (T, bool)
    Remove(index int)
    Add(values ...T)
    Contains(values ...T) bool
    Sort(comparator utils.Comparator[T])
    Swap(index1, index2 int)
    Insert(index int, values ...T)
    Set(index int, value T)

    containers.Container[T]
    // Empty() bool
    // Size() int
    // Clear()
    // Values() []T
}

ArrayList

A list backed by a dynamic array that grows and shrinks implicitly.

Implements List, IteratorWithIndex, EnumerableWithIndex, JSONSerializer and JSONDeserializer interfaces.

package main

import (
    "github.com/daichi-m/go18ds/lists/arraylist"
    "github.com/daichi-m/go18ds/utils"
)

// ArrayListExample to demonstrate basic usage of ArrayList
func main() {
    list := arraylist.New[string]()
    list.Add("a")                         // ["a"]
    list.Add("c", "b")                    // ["a","c","b"]
    list.Sort(utils.StringComparator)     // ["a","b","c"]
    _, _ = list.Get(0)                    // "a",true
    _, _ = list.Get(100)                  // nil,false
    _ = list.Contains("a", "b", "c")      // true
    _ = list.Contains("a", "b", "c", "d") // false
    list.Swap(0, 1)                       // ["b","a",c"]
    list.Remove(2)                        // ["b","a"]
    list.Remove(1)                        // ["b"]
    list.Remove(0)                        // []
    list.Remove(0)                        // [] (ignored)
    _ = list.Empty()                      // true
    _ = list.Size()                       // 0
    list.Add("a")                         // ["a"]
    list.Clear()                          // []
}

SinglyLinkedList

A list where each element points to the next element in the list.

Implements List, IteratorWithIndex, EnumerableWithIndex, JSONSerializer and JSONDeserializer interfaces.

package main

import (
    sll "github.com/daichi-m/go18ds/lists/singlylinkedlist"
    "github.com/daichi-m/go18ds/utils"
)

// SinglyLinkedListExample to demonstrate basic usage of SinglyLinkedList
func main() {
    list := sll.New[string]()
    list.Add("a")                         // ["a"]
    list.Append("b")                      // ["a","b"] (same as Add())
    list.Prepend("c")                     // ["c","a","b"]
    list.Sort(utils.StringComparator)     // ["a","b","c"]
    _, _ = list.Get(0)                    // "a",true
    _, _ = list.Get(100)                  // nil,false
    _ = list.Contains("a", "b", "c")      // true
    _ = list.Contains("a", "b", "c", "d") // false
    list.Remove(2)                        // ["a","b"]
    list.Remove(1)                        // ["a"]
    list.Remove(0)                        // []
    list.Remove(0)                        // [] (ignored)
    _ = list.Empty()                      // true
    _ = list.Size()                       // 0
    list.Add("a")                         // ["a"]
    list.Clear()                          // []
}

DoublyLinkedList

A list where each element points to the next and previous elements in the list.

Implements List, IteratorWithIndex, EnumerableWithIndex, JSONSerializer and JSONDeserializer interfaces.

package main

import (
    dll "github.com/daichi-m/go18ds/lists/doublylinkedlist"
    "github.com/daichi-m/go18ds/utils"
)

// DoublyLinkedListExample to demonstrate basic usage of DoublyLinkedList
func main() {
    list := dll.New[string]()
    list.Add("a")                         // ["a"]
    list.Append("b")                      // ["a","b"] (same as Add())
    list.Prepend("c")                     // ["c","a","b"]
    list.Sort(utils.StringComparator)     // ["a","b","c"]
    _, _ = list.Get(0)                    // "a",true
    _, _ = list.Get(100)                  // nil,false
    _ = list.Contains("a", "b", "c")      // true
    _ = list.Contains("a", "b", "c", "d") // false
    list.Remove(2)                        // ["a","b"]
    list.Remove(1)                        // ["a"]
    list.Remove(0)                        // []
    list.Remove(0)                        // [] (ignored)
    _ = list.Empty()                      // true
    _ = list.Size()                       // 0
    list.Add("a")                         // ["a"]
    list.Clear()                          // []
}

Sets

A set is a data structure that can store elements and has no repeated values. It is a computer implementation of the mathematical concept of a finite set. Unlike most other collection types, rather than retrieving a specific element from a set, one typically tests an element for membership in a set. This structure is often used to ensure that no duplicates are present in a container.

Implements Container interface.

type Set[T comparable] interface {
    Add(elements ...T)
    Remove(elements ...T)
    Contains(elements ...T) bool

    containers.Container[T]
    // Empty() bool
    // Size() int
    // Clear()
    // Values() []T
}

HashSet

A set backed by a hash table (actually a Go's map). It makes no guarantees as to the iteration order of the set.

Implements Set, JSONSerializer and JSONDeserializer interfaces.

import "github.com/daichi-m/go18ds/sets/hashset"

// HashSetExample to demonstrate basic usage of HashSet
func main() {
    set := hashset.New[int]() // empty (keys are of type int)
    set.Add(1)                // 1
    set.Add(2, 2, 3, 4, 5)    // 3, 1, 2, 4, 5 (random order, duplicates ignored)
    set.Remove(4)             // 5, 3, 2, 1 (random order)
    set.Remove(2, 3)          // 1, 5 (random order)
    set.Contains(1)           // true
    set.Contains(1, 5)        // true
    set.Contains(1, 6)        // false
    _ = set.Values()          // []int{5,1} (random order)
    set.Clear()               // empty
    set.Empty()               // true
    set.Size()                // 0
}

TreeSet

A set backed by a red-black tree to keep the elements ordered with respect to the comparator.

Implements Set, IteratorWithIndex, EnumerableWithIndex, JSONSerializer and JSONDeserializer interfaces.

package main

import "github.com/daichi-m/go18ds/sets/treeset"

// TreeSetExample to demonstrate basic usage of TreeSet
func main() {
    set := treeset.NewWithIntComparator() // empty
    set.Add(1)                            // 1
    set.Add(2, 2, 3, 4, 5)                // 1, 2, 3, 4, 5 (in order, duplicates ignored)
    set.Remove(4)                         // 1, 2, 3, 5 (in order)
    set.Remove(2, 3)                      // 1, 5 (in order)
    set.Contains(1)                       // true
    set.Contains(1, 5)                    // true
    set.Contains(1, 6)                    // false
    _ = set.Values()                      // []int{1,5} (in order)
    set.Clear()                           // empty
    set.Empty()                           // true
    set.Size()                            // 0
}

LinkedHashSet

A set that preserves insertion-order. Data structure is backed by a hash table to store values and doubly-linked list to store insertion ordering.

Implements Set, IteratorWithIndex, EnumerableWithIndex, JSONSerializer and JSONDeserializer interfaces.

package main

import "github.com/daichi-m/go18ds/sets/linkedhashset"

// LinkedHashSetExample to demonstrate basic usage of LinkedHashSet
func main() {
    set := linkedhashset.New[int]() // empty
    set.Add(5)                      // 5
    set.Add(4, 4, 3, 2, 1)          // 5, 4, 3, 2, 1 (in insertion-order, duplicates ignored)
    set.Remove(4)                   // 5, 3, 2, 1 (in insertion-order)
    set.Remove(2, 3)                // 5, 1 (in insertion-order)
    set.Contains(1)                 // true
    set.Contains(1, 5)              // true
    set.Contains(1, 6)              // false
    _ = set.Values()                // []int{5, 1} (in insertion-order)
    set.Clear()                     // empty
    set.Empty()                     // true
    set.Size()                      // 0
}

Stacks

A stack that represents a last-in-first-out (LIFO) data structure. The usual push and pop operations are provided, as well as a method to peek at the top item on the stack.

Implements Container interface.

type Stack[T comparable] interface {
    Push(value T)
    Pop() (value T, ok bool)
    Peek() (value T, ok bool)

    containers.Container[T]
    // Empty() bool
    // Size() int
    // Clear()
    // Values() []interface{}
}

LinkedListStack

A stack based on a linked list.

Implements Stack, IteratorWithIndex, JSONSerializer and JSONDeserializer interfaces.

package main

import lls "github.com/daichi-m/go18ds/stacks/linkedliststack"

// LinkedListStackExample to demonstrate basic usage of LinkedListStack
func main() {
    stack := lls.New[int]() // empty
    stack.Push(1)           // 1
    stack.Push(2)           // 1, 2
    stack.Values()          // 2, 1 (LIFO order)
    _, _ = stack.Peek()     // 2,true
    _, _ = stack.Pop()      // 2, true
    _, _ = stack.Pop()      // 1, true
    _, _ = stack.Pop()      // nil, false (nothing to pop)
    stack.Push(1)           // 1
    stack.Clear()           // empty
    stack.Empty()           // true
    stack.Size()            // 0
}

ArrayStack

A stack based on a array list.

Implements Stack, IteratorWithIndex, JSONSerializer and JSONDeserializer interfaces.

package main

import "github.com/daichi-m/go18ds/stacks/arraystack"

// ArrayStackExample to demonstrate basic usage of ArrayStack
func main() {
    stack := arraystack.New[int]() // empty
    stack.Push(1)             // 1
    stack.Push(2)             // 1, 2
    stack.Values()            // 2, 1 (LIFO order)
    _, _ = stack.Peek()       // 2,true
    _, _ = stack.Pop()        // 2, true
    _, _ = stack.Pop()        // 1, true
    _, _ = stack.Pop()        // nil, false (nothing to pop)
    stack.Push(1)             // 1
    stack.Clear()             // empty
    stack.Empty()             // true
    stack.Size()              // 0
}

Maps

A Map is a data structure that maps keys to values. A map cannot contain duplicate keys and each key can map to at most one value.

Implements Container interface.

// Map interface that all maps implement
type Map[K comparable, V any] interface {
    Put(key K, value V)
    Get(key K) (value V, found bool)
    Remove(key K)
    Keys() []K

    containers.Container[V]
    // Empty() bool
    // Size() int
    // Clear()
    // Values() []interface{}
}

A BidiMap is an extension to the Map. A bidirectional map (BidiMap), also called a hash bag, is an associative data structure in which the key-value pairs form a one-to-one relation. This relation works in both directions by allow the value to also act as a key to key, e.g. a pair (a,b) thus provides a coupling between 'a' and 'b' so that 'b' can be found when 'a' is used as a key and 'a' can be found when 'b' is used as a key.

// BidiMap interface that all bidirectional maps implement (extends the Map interface)
type BidiMap[K comparable, V any] interface {
    GetKey(value V) (key K, found bool)

    Map[K, V]
}

HashMap

A map based on hash tables. Keys are unordered.

Implements Map, JSONSerializer and JSONDeserializer interfaces.

package main

import "github.com/daichi-m/go18ds/maps/hashmap"

// HashMapExample to demonstrate basic usage of HashMap
func main() {
    m := hashmap.New[int, string]() // empty
    m.Put(1, "x")                   // 1->x
    m.Put(2, "b")                   // 2->b, 1->x  (random order)
    m.Put(1, "a")                   // 2->b, 1->a (random order)
    _, _ = m.Get(2)                 // b, true
    _, _ = m.Get(3)                 // nil, false
    _ = m.Values()                  // []interface {}{"b", "a"} (random order)
    _ = m.Keys()                    // []interface {}{1, 2} (random order)
    m.Remove(1)                     // 2->b
    m.Clear()                       // empty
    m.Empty()                       // true
    m.Size()                        // 0
}

TreeMap

A map based on red-black tree. Keys are ordered with respect to the comparator.

Implements Map, IteratorWithKey, EnumerableWithKey, JSONSerializer and JSONDeserializer interfaces.

package main

import "github.com/emirpasic/gods/maps/treemap"

func main() {
    m := treemap.NewWithIntComparator() // empty (keys are of type int)
    m.Put(1, "x")                       // 1->x
    m.Put(2, "b")                       // 1->x, 2->b (in order)
    m.Put(1, "a")                       // 1->a, 2->b (in order)
    _, _ = m.Get(2)                     // b, true
    _, _ = m.Get(3)                     // nil, false
    _ = m.Values()                      // []interface {}{"a", "b"} (in order)
    _ = m.Keys()                        // []interface {}{1, 2} (in order)
    m.Remove(1)                         // 2->b
    m.Clear()                           // empty
    m.Empty()                           // true
    m.Size()                            // 0

    // Other:
    m.Min() // Returns the minimum key and its value from map.
    m.Max() // Returns the maximum key and its value from map.
}

LinkedHashMap

A map that preserves insertion-order. It is backed by a hash table to store values and doubly-linked list to store ordering.

Implements Map, IteratorWithKey, EnumerableWithKey, JSONSerializer and JSONDeserializer interfaces.

package main

import "github.com/daichi-m/go18ds/maps/linkedhashmap"

// LinkedHashMapExample to demonstrate basic usage of LinkedHashMapExample
func main() {
    m := linkedhashmap.New[int, string]() // empty (keys are of type int)
    m.Put(2, "b")                         // 2->b
    m.Put(1, "x")                         // 2->b, 1->x (insertion-order)
    m.Put(1, "a")                         // 2->b, 1->a (insertion-order)
    _, _ = m.Get(2)                       // b, true
    _, _ = m.Get(3)                       // nil, false
    _ = m.Values()                        // []interface {}{"b", "a"} (insertion-order)
    _ = m.Keys()                          // []interface {}{2, 1} (insertion-order)
    m.Remove(1)                           // 2->b
    m.Clear()                             // empty
    m.Empty()                             // true
    m.Size()                              // 0
}

HashBidiMap

A map based on two hashmaps. Keys are unordered.

Implements BidiMap, JSONSerializer and JSONDeserializer interfaces.

package main

import "github.com/daichi-m/go18ds/maps/hashbidimap"

// HashBidiMapExample to demonstrate basic usage of HashMap
func main() {
    m := hashbidimap.New[int, string]() // empty
    m.Put(1, "x")                       // 1->x
    m.Put(3, "b")                       // 1->x, 3->b (random order)
    m.Put(1, "a")                       // 1->a, 3->b (random order)
    m.Put(2, "b")                       // 1->a, 2->b (random order)
    _, _ = m.GetKey("a")                // 1, true
    _, _ = m.Get(2)                     // b, true
    _, _ = m.Get(3)                     // nil, false
    _ = m.Values()                      // []interface {}{"a", "b"} (random order)
    _ = m.Keys()                        // []interface {}{1, 2} (random order)
    m.Remove(1)                         // 2->b
    m.Clear()                           // empty
    m.Empty()                           // true
    m.Size()                            // 0
}

TreeBidiMap

A map based on red-black tree. This map guarantees that the map will be in both ascending key and value order. Other than key and value ordering, the goal with this structure is to avoid duplication of elements (unlike in HashBidiMap), which can be significant if contained elements are large.

Implements BidiMap, IteratorWithKey, EnumerableWithKey, JSONSerializer and JSONDeserializer interfaces.

package main

import (
    "github.com/daichi-m/go18ds/maps/treebidimap"
    "github.com/daichi-m/go18ds/utils"
)

// TreeBidiMapExample to demonstrate basic usage of TreeBidiMap
func main() {
    m := treebidimap.NewWith(utils.NumberComparator[int], utils.StringComparator)
    m.Put(1, "x")        // 1->x
    m.Put(3, "b")        // 1->x, 3->b (ordered)
    m.Put(1, "a")        // 1->a, 3->b (ordered)
    m.Put(2, "b")        // 1->a, 2->b (ordered)
    _, _ = m.GetKey("a") // 1, true
    _, _ = m.Get(2)      // b, true
    _, _ = m.Get(3)      // nil, false
    _ = m.Values()       // []interface {}{"a", "b"} (ordered)
    _ = m.Keys()         // []interface {}{1, 2} (ordered)
    m.Remove(1)          // 2->b
    m.Clear()            // empty
    m.Empty()            // true
    m.Size()             // 0
}

Trees

A tree is a widely used data data structure that simulates a hierarchical tree structure, with a root value and subtrees of children, represented as a set of linked nodes; thus no cyclic links.

Implements Container interface.

type Tree[T comparable] interface {
    containers.Container[T]
    // Empty() bool
    // Size() int
    // Clear()
    // Values() []interface{}
}

RedBlackTree

A red–black tree is a binary search tree with an extra bit of data per node, its color, which can be either red or black. The extra bit of storage ensures an approximately balanced tree by constraining how nodes are colored from any path from the root to the leaf. Thus, it is a data structure which is a type of self-balancing binary search tree.

The balancing of the tree is not perfect but it is good enough to allow it to guarantee searching in O(log n) time, where n is the total number of elements in the tree. The insertion and deletion operations, along with the tree rearrangement and recoloring, are also performed in O(log n) time. _^Wikipedia

Implements Tree, ReverseIteratorWithKey, JSONSerializer and JSONDeserializer interfaces.

package main

import (
    "fmt"

    rbt "github.com/daichi-m/go18ds/trees/redblacktree"
)

// RedBlackTreeExample to demonstrate basic usage of RedBlackTree
func main() {
    tree := rbt.NewWithIntComparator[string]() // empty(keys are of type int)

    tree.Put(1, "x") // 1->x
    tree.Put(2, "b") // 1->x, 2->b (in order)
    tree.Put(1, "a") // 1->a, 2->b (in order, replacement)
    tree.Put(3, "c") // 1->a, 2->b, 3->c (in order)
    tree.Put(4, "d") // 1->a, 2->b, 3->c, 4->d (in order)
    tree.Put(5, "e") // 1->a, 2->b, 3->c, 4->d, 5->e (in order)
    tree.Put(6, "f") // 1->a, 2->b, 3->c, 4->d, 5->e, 6->f (in order)

    fmt.Println(tree)
    //
    //  RedBlackTree
    //  │           ┌── 6
    //  │       ┌── 5
    //  │   ┌── 4
    //  │   │   └── 3
    //  └── 2
    //       └── 1

    _ = tree.Values() // []interface {}{"a", "b", "c", "d", "e", "f"} (in order)
    _ = tree.Keys()   // []interface {}{1, 2, 3, 4, 5, 6} (in order)

    tree.Remove(2) // 1->a, 3->c, 4->d, 5->e, 6->f (in order)
    fmt.Println(tree)
    //
    //  RedBlackTree
    //  │       ┌── 6
    //  │   ┌── 5
    //  └── 4
    //      │   ┌── 3
    //      └── 1

    tree.Clear() // empty
    tree.Empty() // true
    tree.Size()  // 0
}

Extending the red-black tree's functionality has been demonstrated in the following example.

AVLTree

AVL tree is a self-balancing binary search tree. In an AVL tree, the heights of the two child subtrees of any node differ by at most one; if at any time they differ by more than one, rebalancing is done to restore this property. Lookup, insertion, and deletion all take O(log n) time in both the average and worst cases, where n is the number of nodes in the tree prior to the operation. Insertions and deletions may require the tree to be rebalanced by one or more tree rotations.

AVL trees are often compared with red–black trees because both support the same set of operations and take O(log n) time for the basic operations. For lookup-intensive applications, AVL trees are faster than red–black trees because they are more strictly balanced. _^Wikipedia

Implements Tree, ReverseIteratorWithKey, JSONSerializer and JSONDeserializer interfaces.

_{AVL tree with balance factors (green)}

package main

import (
    "fmt"

    avl "github.com/daichi-m/go18ds/trees/avltree"
)

// AVLTreeExample to demonstrate basic usage of AVLTree
func main() {
    tree := avl.NewWithIntComparator[string]() // empty(keys are of type int)

    tree.Put(1, "x") // 1->x
    tree.Put(2, "b") // 1->x, 2->b (in order)
    tree.Put(1, "a") // 1->a, 2->b (in order, replacement)
    tree.Put(3, "c") // 1->a, 2->b, 3->c (in order)
    tree.Put(4, "d") // 1->a, 2->b, 3->c, 4->d (in order)
    tree.Put(5, "e") // 1->a, 2->b, 3->c, 4->d, 5->e (in order)
    tree.Put(6, "f") // 1->a, 2->b, 3->c, 4->d, 5->e, 6->f (in order)

    fmt.Println(tree)
    //
    //  AVLTree
    //  │       ┌── 6
    //  │   ┌── 5
    //  └── 4
    //      │   ┌── 3
    //      └── 2
    //          └── 1

    _ = tree.Values() // []interface {}{"a", "b", "c", "d", "e", "f"} (in order)
    _ = tree.Keys()   // []interface {}{1, 2, 3, 4, 5, 6} (in order)

    tree.Remove(2) // 1->a, 3->c, 4->d, 5->e, 6->f (in order)
    fmt.Println(tree)
    //
    //  AVLTree
    //  │       ┌── 6
    //  │   ┌── 5
    //  └── 4
    //      └── 3
    //          └── 1

    tree.Clear() // empty
    tree.Empty() // true
    tree.Size()  // 0
}

BTree

B-tree is a self-balancing tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree is a generalization of a binary search tree in that a node can have more than two children.

According to Knuth's definition, a B-tree of order m is a tree which satisfies the following properties:

Every node has at most m children.
Every non-leaf node (except root) has at least ⌈m/2⌉ children.
The root has at least two children if it is not a leaf node.
A non-leaf node with k children contains k−1 keys.
All leaves appear in the same level

Each internal node’s keys act as separation values which divide its subtrees. For example, if an internal node has 3 child nodes (or subtrees) then it must have 2 keys: a1 and a2. All values in the leftmost subtree will be less than a1, all values in the middle subtree will be between a1 and a2, and all values in the rightmost subtree will be greater than a2._^Wikipedia

Implements Tree, ReverseIteratorWithKey, JSONSerializer and JSONDeserializer interfaces.

import (
    "fmt"

    "github.com/daichi-m/go18ds/trees/btree"
)

// BTreeExample to demonstrate basic usage of BTree
func main() {
    tree := btree.NewWithIntComparator[string](3) // empty (keys are of type int)

    tree.Put(1, "x") // 1->x
    tree.Put(2, "b") // 1->x, 2->b (in order)
    tree.Put(1, "a") // 1->a, 2->b (in order, replacement)
    tree.Put(3, "c") // 1->a, 2->b, 3->c (in order)
    tree.Put(4, "d") // 1->a, 2->b, 3->c, 4->d (in order)
    tree.Put(5, "e") // 1->a, 2->b, 3->c, 4->d, 5->e (in order)
    tree.Put(6, "f") // 1->a, 2->b, 3->c, 4->d, 5->e, 6->f (in order)
    tree.Put(7, "g") // 1->a, 2->b, 3->c, 4->d, 5->e, 6->f, 7->g (in order)

    fmt.Println(tree)
    // BTree
    //         1
    //     2
    //         3
    // 4
    //         5
    //     6
    //         7

    _ = tree.Values() // []interface {}{"a", "b", "c", "d", "e", "f", "g"} (in order)
    _ = tree.Keys()   // []interface {}{1, 2, 3, 4, 5, 6, 7} (in order)

    tree.Remove(2) // 1->a, 3->c, 4->d, 5->e, 6->f, 7->g (in order)
    fmt.Println(tree)
    // BTree
    //     1
    //     3
    // 4
    //     5
    // 6
    //     7

    tree.Clear() // empty
    tree.Empty() // true
    tree.Size()  // 0

    // Other:
    tree.Height()     // gets the height of the tree
    tree.Left()       // gets the left-most (min) node
    tree.LeftKey()    // get the left-most (min) node's key
    tree.LeftValue()  // get the left-most (min) node's value
    tree.Right()      // get the right-most (max) node
    tree.RightKey()   // get the right-most (max) node's key
    tree.RightValue() // get the right-most (max) node's value
}

BinaryHeap

A binary heap is a tree created using a binary tree. It can be seen as a binary tree with two additional constraints:

Shape property:

A binary heap is a complete binary tree; that is, all levels of the tree, except possibly the last one (deepest) are fully filled, and, if the last level of the tree is not complete, the nodes of that level are filled from left to right.
Heap property:

All nodes are either greater than or equal to or less than or equal to each of its children, according to a comparison predicate defined for the heap. _^Wikipedia

Implements Tree, ReverseIteratorWithIndex, JSONSerializer and JSONDeserializer interfaces.

package main

import (
    "github.com/daichi-m/go18ds/trees/binaryheap"
    "github.com/daichi-m/go18ds/utils"
)

// BinaryHeapExample to demonstrate basic usage of BinaryHeap
func main() {

    // Min-heap
    heap := binaryheap.NewWithIntComparator() // empty (min-heap)
    heap.Push(2)                              // 2
    heap.Push(3)                              // 2, 3
    heap.Push(1)                              // 1, 3, 2
    heap.Values()                             // 1, 3, 2
    _, _ = heap.Peek()                        // 1,true
    _, _ = heap.Pop()                         // 1, true
    _, _ = heap.Pop()                         // 2, true
    _, _ = heap.Pop()                         // 3, true
    _, _ = heap.Pop()                         // nil, false (nothing to pop)
    heap.Push(1)                              // 1
    heap.Clear()                              // empty
    heap.Empty()                              // true
    heap.Size()                               // 0

    // Max-heap
    inverseIntComparator := func(a, b int) int {
        return -utils.NumberComparator(a, b)
    }
    heap = binaryheap.NewWith(inverseIntComparator) // empty (min-heap)
    heap.Push(2)                                    // 2
    heap.Push(3)                                    // 3, 2
    heap.Push(1)                                    // 3, 2, 1
    heap.Values()                                   // 3, 2, 1
}

Functions

Various helper functions used throughout the library.

Comparator

Some data structures (e.g. TreeMap, TreeSet) require a comparator function to automatically keep their elements sorted upon insertion. This comparator is necessary during the initalization.

Comparator is defined as:

Return values (int):

negative , if a < b
zero     , if a == b
positive , if a > b

Comparator signature:

type Comparator func[T comparable](a, b T) int

All common comparators for builtin types are included in the library:

func StringComparator(a, b string) int

func NumberComparator[T Number](a, b T) int

func TimeComparator(a, b interface{}) int

Writing custom comparators is easy:

package main

import (
    "fmt"

    "github.com/daichi-m/go18ds/sets/treeset"
)

// User model (id and name)
type User struct {
    id   int
    name string
}

// Comparator function (sort by IDs)
func byID(c1, c2 User) int {

    switch {
    case c1.id > c2.id:
        return 1
    case c1.id < c2.id:
        return -1
    default:
        return 0
    }
}

// CustomComparatorExample to demonstrate basic usage of CustomComparator
func main() {
    set := treeset.NewWith(byID)

    set.Add(User{2, "Second"})
    set.Add(User{3, "Third"})
    set.Add(User{1, "First"})
    set.Add(User{4, "Fourth"})

    fmt.Println(set) // {1 First}, {2 Second}, {3 Third}, {4 Fourth}
}

Iterator

All ordered containers have stateful iterators. Typically an iterator is obtained by Iterator() function of an ordered container. Once obtained, iterator's Next() function moves the iterator to the next element and returns true if there was a next element. If there was an element, then element's can be obtained by iterator's Value() function. Depending on the ordering type, it's position can be obtained by iterator's Index() or Key() functions. Some containers even provide reversible iterators, essentially the same, but provide another extra Prev() function that moves the iterator to the previous element and returns true if there was a previous element.

Note: it is unsafe to remove elements from container while iterating.

IteratorWithIndex

An iterator whose elements are referenced by an index.

Typical usage:

it := list.Iterator()
for it.Next() {
    index, value := it.Index(), it.Value()
    ...
}

Other usages:

if it.First() {
    firstIndex, firstValue := it.Index(), it.Value()
    ...
}

for it.Begin(); it.Next(); {
    ...
}

IteratorWithKey

An iterator whose elements are referenced by a key.

Typical usage:

it := tree.Iterator()
for it.Next() {
    key, value := it.Key(), it.Value()
    ...
}

Other usages:

if it.First() {
    firstKey, firstValue := it.Key(), it.Value()
    ...
}

for it.Begin(); it.Next(); {
    ...
}

ReverseIteratorWithIndex

An iterator whose elements are referenced by an index. Provides all functions as IteratorWithIndex, but can also be used for reverse iteration.

Typical usage of iteration in reverse:

it := list.Iterator()
for it.End(); it.Prev(); {
    index, value := it.Index(), it.Value()
    ...
}

Other usages:

if it.Last() {
    lastIndex, lastValue := it.Index(), it.Value()
    ...
}

ReverseIteratorWithKey

An iterator whose elements are referenced by a key. Provides all functions as IteratorWithKey, but can also be used for reverse iteration.

Typical usage of iteration in reverse:

it := tree.Iterator()
for it.End(); it.Prev(); {
    key, value := it.Key(), it.Value()
    ...
}

Other usages:

if it.Last() {
    lastKey, lastValue := it.Key(), it.Value()
    ...
}

Enumerable

Enumerable functions for ordered containers that implement EnumerableWithIndex or EnumerableWithKey interfaces.

EnumerableWithIndex

Enumerable functions for ordered containers whose values can be fetched by an index.

Each

Calls the given function once for each element, passing that element's index and value.

Each(func(index int, value T))

Map

Invokes the given function once for each element and returns a container containing the values returned by the given function.

Map(func(index int, value T) T) Container

Select

Returns a new container containing all elements for which the given function returns a true value.

Select(func(index int, value T) bool) Container

Any

Passes each element of the container to the given function and returns true if the function ever returns true for any element.

Any(func(index int, value T) bool) bool

All

Passes each element of the container to the given function and returns true if the function returns true for all elements.

All(func(index int, value T) bool) bool

Find

Passes each element of the container to the given function and returns the first (index,value) for which the function is true or -1,nil otherwise if no element matches the criteria.

Find(func(index int, value T) bool) (int, T)

Example:

package main

import (
    "fmt"

    "github.com/daichi-m/go18ds/sets/treeset"
)

func printSet(txt string, set *treeset.Set[int]) {
    fmt.Print(txt, "[ ")
    set.Each(func(index int, value int) {
        fmt.Print(value, " ")
    })
    fmt.Println("]")
}

// EnumerableWithIndexExample to demonstrate basic usage of EnumerableWithIndex
func main() {
    set := treeset.NewWithIntComparator()
    set.Add(2, 3, 4, 2, 5, 6, 7, 8)
    printSet("Initial", set) // [ 2 3 4 5 6 7 8 ]

    even := set.Select(func(index int, value int) bool {
        return value%2 == 0
    })
    printSet("Even numbers", even) // [ 2 4 6 8 ]

    foundIndex, foundValue := set.Find(func(index int, value int) bool {
        return value%2 == 0 && value%3 == 0
    })
    if foundIndex != -1 {
        fmt.Println("Number divisible by 2 and 3 found is", foundValue, "at index", foundIndex) // value: 6, index: 4
    }

    square := set.Map(func(index int, value int) int {
        return value * value
    })
    printSet("Numbers squared", square) // [ 4 9 16 25 36 49 64 ]

    bigger := set.Any(func(index int, value int) bool {
        return value > 5
    })
    fmt.Println("Set contains a number bigger than 5 is ", bigger) // true

    positive := set.All(func(index int, value int) bool {
        return value > 0
    })
    fmt.Println("All numbers are positive is", positive) // true

    evenNumbersSquared := set.Select(func(index int, value int) bool {
        return value%2 == 0
    }).Map(func(index int, value int) int {
        return value * value
    })
    printSet("Chaining", evenNumbersSquared) // [ 4 16 36 64 ]
}

EnumerableWithKey

Enumerable functions for ordered containers whose values whose elements are key/value pairs.

Each

Calls the given function once for each element, passing that element's key and value.

Each(func(key K, value V))

Map

Invokes the given function once for each element and returns a container containing the values returned by the given function as key/value pairs.

Map(func(key K, value V) (K, V)) Container

Select

Returns a new container containing all elements for which the given function returns a true value.

Select(func(key K, value V) bool) Container

Any

Passes each element of the container to the given function and returns true if the function ever returns true for any element.

Any(func(key K, value V) bool) bool

All

Passes each element of the container to the given function and returns true if the function returns true for all elements.

All(func(key K, value V) bool) bool

Find

Passes each element of the container to the given function and returns the first (key,value) for which the function is true or nil,nil otherwise if no element matches the criteria.

Find(func(key K, value V) bool) (K, V)

Example:

package main

import (
    "fmt"

    "github.com/daichi-m/go18ds/maps/treemap"
)

func printMap(txt string, m *treemap.Map[string, int]) {
    fmt.Print(txt, " { ")
    m.Each(func(key string, value int) {
        fmt.Print(key, ":", value, " ")
    })
    fmt.Println("}")
}

// EunumerableWithKeyExample to demonstrate basic usage of EunumerableWithKey
func main() {
    m := treemap.NewWithStringComparator[int]()
    m.Put("g", 7)
    m.Put("f", 6)
    m.Put("e", 5)
    m.Put("d", 4)
    m.Put("c", 3)
    m.Put("b", 2)
    m.Put("a", 1)
    printMap("Initial", m) // { a:1 b:2 c:3 d:4 e:5 f:6 g:7 }

    even := m.Select(func(key string, value int) bool {
        return value%2 == 0
    })
    printMap("Elements with even values", even) // { b:2 d:4 f:6 }

    foundKey, foundValue := m.Find(func(key string, value int) bool {
        return value%2 == 0 && value%3 == 0
    })
    if foundKey != "" {
        fmt.Println("Element with value divisible by 2 and 3 found is", foundValue, "with key", foundKey) // value: 6, index: 4
    }

    square := m.Map(func(key string, value int) (string, int) {
        return key + key, value * value
    })
    printMap("Elements' values squared and letters duplicated", square) // { aa:1 bb:4 cc:9 dd:16 ee:25 ff:36 gg:49 }

    bigger := m.Any(func(key string, value int) bool {
        return value > 5
    })
    fmt.Println("Map contains element whose value is bigger than 5 is", bigger) // true

    positive := m.All(func(key string, value int) bool {
        return value > 0
    })
    fmt.Println("All map's elements have positive values is", positive) // true

    evenNumbersSquared := m.Select(func(key string, value int) bool {
        return value%2 == 0
    }).Map(func(key string, value int) (string, int) {
        return key, value * value
    })
    printMap("Chaining", evenNumbersSquared) // { b:4 d:16 f:36 }
}

Serialization

All data structures can be serialized (marshalled) and deserialized (unmarshalled). Currently only JSON support is available.

JSONSerializer

Outputs the container into its JSON representation.

Typical usage for key-value structures:

package main

import (
    "fmt"
    "github.com/daichi-m/go18ds/maps/hashmap"
)

func main() {
    m := hashmap.New[string, string]()
    m.Put("a", "1")
    m.Put("b", "2")
    m.Put("c", "3")

    // Serialization (marshalling)
    json, err := m.ToJSON()
    if err != nil {
        fmt.Println(err)
    }
    fmt.Println(string(json)) // {"a":"1","b":"2","c":"3"}
}

Typical usage for value-only structures:

package main

import (
    "fmt"
    "github.com/daichi-m/go18ds/lists/arraylist"
)

func main() {
    list := arraylist.New[string]()
    list.Add("a", "b", "c")

    // Serialization (marshalling)
    json, err := list.ToJSON()
    if err != nil {
        fmt.Println(err)
    }
    fmt.Println(string(json)) // ["a","b","c"]
}

JSONDeserializer

Populates the container with elements from the input JSON representation.

Typical usage for key-value structures:

package main

import (
    "fmt"
    "github.com/daichi-m/go18ds/maps/hashmap"
)

func main() {
    hm := hashmap.New[string, string]()

    // Deserialization (unmarshalling)
    json = []byte(`{"a":"1","b":"2"}`)
    err = hm.FromJSON(json)
    if err != nil {
        fmt.Println(err)
    }
    fmt.Println(hm) // HashMap {"a":"1","b":"2"}
}

Typical usage for value-only structures:

package main

import (
    "fmt"
    "github.com/daichi-m/go18ds/lists/arraylist"
)

func main() {
    list := arraylist.New[string]()

    json = []byte(`["a","b"]`)
    err = list.FromJSON(json)
    if err != nil {
        fmt.Println(err)
    }
    fmt.Println(list) // ArrayList ["a","b"]
}

Sort

Sort is a general purpose sort function.

Lists have an in-place Sort() function and all containers can return their sorted elements via containers.GetSortedValues() function.

Internally these all use the utils.Sort() method:

package main

import "github.com/daichi-m/go18ds/utils"

// SortExample to demonstrate basic usage of basic sort
func main() {
    strings := []string{}                       // []
    strings = append(strings, "d")              // ["d"]
    strings = append(strings, "a")              // ["d","a"]
    strings = append(strings, "b")              // ["d","a",b"
    strings = append(strings, "c")              // ["d","a",b","c"]
    utils.Sort(strings, utils.StringComparator) // ["a","b","c","d"]
}

Container

Container specific operations:

// Returns sorted container''s elements with respect to the passed comparator.
// Does not effect the ordering of elements within the container.
func GetSortedValues(container Container, comparator utils.Comparator) []interface{}

Usage:

package main

import (
    "github.com/emirpasic/gods/lists/arraylist"
    "github.com/emirpasic/gods/utils"
)

func main() {
    list := arraylist.New[int]()
    list.Add(2, 1, 3)
    values := GetSortedValues(container, utils.NumberComparator[int]) // [1, 2, 3]
}

Appendix

Motivation

Collections and data structures found in other languages: Java Collections, C++ Standard Template Library (STL) containers, Qt Containers, Ruby Enumerable etc.

Goals

Fast algorithms:

Based on decades of knowledge and experiences of other libraries mentioned above.

Memory efficient algorithms:

Avoiding to consume memory by using optimal algorithms and data structures for the given set of problems, e.g. red-black tree in case of TreeMap to avoid keeping redundant sorted array of keys in memory.

Easy to use library:

Well-structured library with minimalistic set of atomic operations from which more complex operations can be crafted.

Stable library:

Only additions are permitted keeping the library backward compatible.

Solid documentation and examples:

Learning by example.

Production ready:

Used in production.

No dependencies:

No external imports.

There is often a tug of war between speed and memory when crafting algorithms. We choose to optimize for speed in most cases within reasonable limits on memory consumption.

Thread safety is not a concern of this project, this should be handled at a higher level.

Testing and Benchmarking

This takes a while, so test within sub-packages:

go test -run=NO_TEST -bench . -benchmem -benchtime 1s ./...

Click here to see the benchmark results.

Contributing

Biggest contribution towards this library is to use it and give us feedback for further improvements and additions.

For direct contributions, pull request into master branch or ask to become a contributor.

Coding style:

# Install tooling and set path:
go get github.com/golang/lint/golint
go get github.com/fzipp/gocyclo
go get github.com/kisielk/errcheck
export PATH=$PATH:$GOPATH/bin

# Fix errors and warnings:
go fmt ./... && gofmt -s -w . && go vet ./... && go get ./... && go test ./... && golint ./... && gocyclo -avg -over 15 . && errcheck ./...

License

This library is distributed under the BSD-style license found in the LICENSE file.

📚 go18ds - Awesome Go Library for Data Structures and Algorithms

Detailed Description of go18ds

Go18DS (Go 1.18+ Data Structures)

Data Structures

Containers

Lists

ArrayList

SinglyLinkedList

DoublyLinkedList

Sets

HashSet

TreeSet

LinkedHashSet

Stacks

LinkedListStack

ArrayStack

Maps

HashMap

TreeMap

LinkedHashMap

HashBidiMap

TreeBidiMap

Trees

RedBlackTree

AVLTree

BTree

BinaryHeap

Functions

Comparator

Iterator

IteratorWithIndex

IteratorWithKey

ReverseIteratorWithIndex

ReverseIteratorWithKey

Enumerable

EnumerableWithIndex

EnumerableWithKey

Serialization

JSONSerializer

JSONDeserializer

Sort

Container

Appendix

Motivation

Goals

Testing and Benchmarking

Contributing

License