lxzan / dao

Simple and high-performance data structures and algorithms library

Home Page:https://pkg.go.dev/github.com/lxzan/dao

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DAO

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道生一, 一生二, 二生三, 三生万物; 万物负阴而抱阳, 冲气以为和

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Description

DAO is a library of generic-based data structures and algorithms that complements the standard library in terms of data containers and algorithms to simplify business development.

Index

Vector

Unique

package main

import (
    "fmt"
    "github.com/lxzan/dao/vector"
)

func main() {
    var v = vector.NewFromInts(1, 3, 5, 3)
    v.Unique()
    fmt.Printf("%v", v.Elem())
}

Sort

package main

import (
    "fmt"
    "github.com/lxzan/dao/vector"
)

func main() {
    var v = vector.NewFromInts(1, 3, 5, 2, 4, 6)
    v.Sort()
    fmt.Printf("%v", v.Elem())
}

Filter

package main

import (
    "fmt"
    "github.com/lxzan/dao/vector"
)

func main() {
    var v = vector.NewFromInts(1, 3, 5, 2, 4, 6)
    v.Filter(func(i int, v vector.Int) bool {
        return v.GetID()%2 == 0
    })
    fmt.Printf("%v", v.Elem())
}

Heap

Heap, also known as a priority queue, where the top element of the heap is always the largest or smallest. Commonly used is the quadruple heap, Push/Pop is more balanced. Using y=pow(2,x) as the number of forks, to speed up parent-child computation.

N-Way Heap

package main

import (
    "github.com/lxzan/dao/heap"
    "github.com/lxzan/dao/types/cmp"
)

func main() {
    var h = heap.NewWithWays(heap.Binary, cmp.Less[int])
    h.Push(1)
    h.Push(3)
    h.Push(5)
    h.Push(2)
    h.Push(4)
    h.Push(6)
    for h.Len() > 0 {
        println(h.Pop())
    }
}

N-Way Indexed Heap

Extends the normal heap with update and delete functions, often used in time heap algorithms.

package main

import (
    "github.com/lxzan/dao/heap"
)

func main() {
    var h = heap.NewIndexedHeap[int, struct{}](heap.Quadratic, func(a, b int) bool { return a > b })
    h.Push(1, struct{}{})
    h.Push(3, struct{}{})
    h.Push(5, struct{}{})
    h.Push(2, struct{}{})
    h.Push(4, struct{}{})
    h.Push(6, struct{}{})
    h.DeleteByIndex(5)
    h.UpdateKeyByIndex(3, 7)
    for h.Len() > 0 {
        println(h.Pop().Key())
    }
}

Stack

Stack Last in first out (LIFO) data structure

package main

import (
    "github.com/lxzan/dao/stack"
)

func main() {
    var s stack.Stack[int]
    s.Push(1)
    s.Push(3)
    s.Push(5)
    for s.Len() > 0 {
        println(s.Pop())
    }
}

Queue

Queue First in first out (FIFO) data structure. The dao/queue is automatically reset when all elements are ejected, reusing memory space.

package main

import (
    "github.com/lxzan/dao/queue"
)

func main() {
    var s = queue.New[int](0)
    s.Push(1)
    s.Push(3)
    s.Push(5)
    for s.Len() > 0 {
        println(s.Pop())
    }
}

Deque

Deque are similar to doubly linked list, where insertion and deletion operations can be performed efficiently at both ends.

dao/deque is based on array subscripts to emulate pointers, the deleted space can still be reused later, and does not depend on sync.Pool.

package main

import (
    "fmt"
    "github.com/lxzan/dao/deque"
)

func main() {
    var list = deque.New[int](8)
    list.PushBack(1)
    list.PushBack(3)
    list.PushBack(5)
    list.PushBack(7)
    list.PushBack(9)
    for i := list.Front(); i != nil; i = list.Get(i.Next()) {
        fmt.Printf("%v ", i.Value())
    }

    println()
    for i := list.Back(); i != nil; i = list.Get(i.Prev()) {
        fmt.Printf("%v ", i.Value())
    }
}

LinkedList

package main

import (
    "fmt"
    "github.com/lxzan/dao/linkedlist"
)

func main() {
    var list = linkedlist.New[int]()
    list.PushBack(1)
    list.PushBack(3)
    list.PushBack(5)
    list.PushBack(7)
    list.PushBack(9)
    for i := list.Front(); i != nil; i = i.Next() {
        fmt.Printf("%v ", i.Value)
    }

    println()
    for i := list.Back(); i != nil; i = i.Prev() {
        fmt.Printf("%v ", i.Value)
    }
}

RBTree

A high-performance red-black tree implementation that can be used as an in-memory database.

package main

import (
    "github.com/lxzan/dao/rbtree"
)

func main() {
    var tree = rbtree.New[int, struct{}]()
    for i := 0; i < 10; i++ {
        tree.Set(i, struct{}{})
    }

    var results = tree.
        NewQuery().
        Left(func(key int) bool { return key >= 3 }).
        Right(func(key int) bool { return key <= 5 }).
        Order(rbtree.ASC).
        FindAll()
    for _, item := range results {
        println(item.Key)
    }
}

Dict

Dict aka prefix tree, efficiently matches string prefixes. dao/dict can dynamically configure the width of slots (controlled by the index).

Note: Set the index reasonably, characters beyond the index length can not be optimized for indexing.

package main

import (
    "github.com/lxzan/dao/dict"
)

func main() {
    var tree = dict.New[int]()
    tree.Set("listen", 1)
    tree.Set("list", 2)
    tree.Set("often", 3)
    tree.Set("oh!", 4)
    tree.Set("haha", 5)
    tree.Set("", 6)

    tree.Match("list", func(key string, value int) bool {
        println(key, value)
        return true
    })
}

HashMap

An alias for Runtime Map, extending Keys, Values, Range and other utility methods.

package main

import (
    "github.com/lxzan/dao/hashmap"
)

func main() {
    var m = hashmap.New[string, int](8)
    m.Set("a", 1)
    m.Set("b", 2)
    m.Set("c", 3)
    m.Range(func(key string, val int) bool {
        println(key, val)
        return true
    })
}

Segment Tree

Segment Tree is a binary tree in which each node represents an interval. Line segment trees are characterized by the ability to perform interval queries and interval updates in O(logn) time.

package main

import (
    tree "github.com/lxzan/dao/segment_tree"
)

func main() {
    var data = []tree.Int64{1, 3, 5, 7, 9, 2, 4, 6, 8, 10}
    var lines = tree.New[tree.Int64Schema, tree.Int64](data)
    var result = lines.Query(0, 10)
    println(result.MinValue, result.MaxValue, result.Sum)
}

Benchmark

  • 1,000 elements
go test -benchmem -bench '^Benchmark' ./benchmark/
goos: windows
goarch: amd64
pkg: github.com/lxzan/dao/benchmark
cpu: AMD Ryzen 5 PRO 4650G with Radeon Graphics
BenchmarkDict_Set-12                        8647            124.1 ns/op           48190 B/op       1003 allocs/op
BenchmarkDict_Get-12                        9609            122.0 ns/op           48000 B/op       1000 allocs/op
BenchmarkDict_Match-12                      3270            349.3 ns/op           48000 B/op       1000 allocs/op
BenchmarkHeap_Push_Binary-12               55809             21.0 ns/op           38912 B/op          3 allocs/op
BenchmarkHeap_Push_Quadratic-12            65932             18.0 ns/op           38912 B/op          3 allocs/op
BenchmarkHeap_Push_Octal-12                71005             16.1 ns/op           38912 B/op          3 allocs/op
BenchmarkHeap_Pop_Binary-12                10000            100.1 ns/op           16384 B/op          1 allocs/op
BenchmarkHeap_Pop_Quadratic-12             10000            100.7 ns/op           16384 B/op          1 allocs/op
BenchmarkHeap_Pop_Octal-12                  9681            124.9 ns/op           16384 B/op          1 allocs/op
BenchmarkStdList_Push-12                   24715             48.7 ns/op           54000 B/op       1745 allocs/op
BenchmarkStdList_PushAndPop-12             22006             54.7 ns/op           54000 B/op       1745 allocs/op
BenchmarkLinkedList_Push-12                38464             31.7 ns/op           24000 B/op       1000 allocs/op
BenchmarkLinkedList_PushAndPop-12          36898             32.6 ns/op           24000 B/op       1000 allocs/op
BenchmarkDeque_Push-12                    100468             11.7 ns/op           24576 B/op          1 allocs/op
BenchmarkDeque_PushAndPop-12               51649             21.7 ns/op           37496 B/op         12 allocs/op
BenchmarkRBTree_Set-12                      9999            113.9 ns/op           72048 B/op       2001 allocs/op
BenchmarkRBTree_Get-12                     51806             22.7 ns/op               0 B/op          0 allocs/op
BenchmarkRBTree_FindAll-12                  2808            421.3 ns/op          288001 B/op       5000 allocs/op
BenchmarkRBTree_FindAOne-12                 4722            252.2 ns/op           56000 B/op       5000 allocs/op
BenchmarkSegmentTree_Query-12               7498            164.4 ns/op              20 B/op          0 allocs/op
BenchmarkSegmentTree_Update-12             10000            108.6 ns/op              15 B/op          0 allocs/op
BenchmarkSort_Quick-12                     24488             48.5 ns/op               0 B/op          0 allocs/op
BenchmarkSort_Std-12                       21703             54.9 ns/op            8216 B/op          2 allocs/op
PASS
ok      github.com/lxzan/dao/benchmark  31.100s
  • 1,000,000 elements
go test -benchmem -bench '^Benchmark' ./benchmark/
goos: windows
goarch: amd64
pkg: github.com/lxzan/dao/benchmark
cpu: AMD Ryzen 5 PRO 4650G with Radeon Graphics
BenchmarkDict_Set-12                           1        2295.2 ns/op        1405087408 B/op 24868109 allocs/op
BenchmarkDict_Get-12                           2         784.0 ns/op        48000000 B/op    1000000 allocs/op
BenchmarkDict_Match-12                         2         961.0 ns/op        48000000 B/op    1000000 allocs/op
BenchmarkHeap_Push_Binary-12                  48          24.8 ns/op        65708034 B/op          5 allocs/op
BenchmarkHeap_Push_Quadratic-12               58          19.4 ns/op        65708033 B/op          5 allocs/op
BenchmarkHeap_Push_Octal-12                   69          17.1 ns/op        65708033 B/op          5 allocs/op
BenchmarkHeap_Pop_Binary-12                    3         376.3 ns/op        16007168 B/op          1 allocs/op
BenchmarkHeap_Pop_Quadratic-12                 3         342.8 ns/op        16007168 B/op          1 allocs/op
BenchmarkHeap_Pop_Octal-12                     3         374.8 ns/op        16007168 B/op          1 allocs/op
BenchmarkStdList_Push-12                      21          55.0 ns/op        55998007 B/op    1999745 allocs/op
BenchmarkStdList_PushAndPop-12                15          67.5 ns/op        55998008 B/op    1999745 allocs/op
BenchmarkLinkedList_Push-12                   43          29.5 ns/op        24000000 B/op    1000000 allocs/op
BenchmarkLinkedList_PushAndPop-12             39          34.7 ns/op        24000002 B/op    1000000 allocs/op
BenchmarkDeque_Push-12                       123           9.4 ns/op        24002560 B/op          1 allocs/op
BenchmarkDeque_PushAndPop-12                  60          18.7 ns/op        45098876 B/op         37 allocs/op
BenchmarkRBTree_Set-12                         6         171.9 ns/op        72000064 B/op    2000001 allocs/op
BenchmarkRBTree_Get-12                        22          50.1 ns/op               0 B/op          0 allocs/op
BenchmarkRBTree_FindAll-12                     1        1936.8 ns/op        288000128 B/op   5000001 allocs/op
BenchmarkRBTree_FindAOne-12                    1        1793.4 ns/op        56000000 B/op    5000000 allocs/op
BenchmarkSegmentTree_Query-12                  1        1630.0 ns/op        169678048 B/op   2000038 allocs/op
BenchmarkSegmentTree_Update-12                 1        1025.0 ns/op        169678048 B/op   2000038 allocs/op
BenchmarkSort_Quick-12                        10         109.5 ns/op         8003584 B/op          1 allocs/op
BenchmarkSort_Std-12                           9         123.0 ns/op         8003608 B/op          2 allocs/op
PASS
ok      github.com/lxzan/dao/benchmark  47.376s

About

Simple and high-performance data structures and algorithms library

https://pkg.go.dev/github.com/lxzan/dao

License:MIT License


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