关于算法:手撸golang-基本数据结构与算法-二叉查找树

3次阅读

共计 12040 个字符，预计需要花费 31 分钟才能阅读完成。

最近浏览 << 我的第一本算法书 >>(【日】石田保辉；宫崎修一)
本系列笔记拟采纳 golang 练习之

 二叉查找树（又叫作二叉搜寻树或二叉排序树）是一种数据结构，数据存储于二叉查找树的各个结点中。二叉查找树有两个性质:
第一个是每个结点的值均大于其左子树上任意一个结点的值,
第二个是每个结点的值均小于其右子树上任意一个结点的值。依据这两个性质能够失去以下论断。首先，二叉查找树的最小结点要从顶端开始，往其左下的末端寻找。反过来，二叉查找树的最大结点要从顶端开始，往其右下的末端寻找。摘自 << 我的第一本算法书 >>【日】石田保辉；宫崎修一

实现一棵二叉查找树, 并测试其基本功能

IComparator: 定义值比拟函数. 值比拟函数能够返回小于, 等于, 大于三种状况
IBinarySearchTree: 定义二叉查找树的接口, 增删改查都要.
IIterator: 定义二叉查找树的遍历接口.
tComparator: 值比拟函数的包装器, 实现 IComparator 接口. 具体比拟函数由内部传入.
tBinarySearchTree: 二叉查找树的示例, 实现 IBinarySearchTree 接口.
tBinaryNode: 二叉查找树节点
tBSTreeIterator: 二叉查找树的遍历迭代器, 外部应用广度优先搜寻 + 候选队列.

bstree_test.go, 测试二叉查找树的增删改查, 以及大小序输入.

package data_structure

import (
    "fmt"
    bstree "learning/gooop/data_structure/binary_search_tree"
    "strings"
    "testing"
)

func Test_BinarySearchTree(t *testing.T) {fnAssertTrue := func(b bool, msg string) {
        if !b {panic(msg)
        }
    }

    fnCompare := func(a interface{}, b interface{}) bstree.CompareResult {i1 := a.(int)
        i2 := b.(int)

        if i1 < i2 {return bstree.LESS} else if i1 == i2 {return bstree.EQUAL} else {return bstree.GREATER}
    }
    comparator := bstree.NewComparator(fnCompare)

    // test empty tree
    tree := bstree.NewBinarySearchTree(comparator)
    t.Log(tree)
    fnAssertTrue(tree.String() == "r=nil,s=0,v=0", "expecting r=nil,s=0,v=0")
    fnAssertTrue(tree.Size() == 0, "expecting size == 0")
    fnAssertTrue(tree.IsEmpty(), "expecting empty")

    // test one item
    tree.Push(5)
    t.Log(tree)
    fnAssertTrue(tree.String() == "r=5,s=1,v=1 5", "expecting r=5,s=1,v=1 5")
    fnAssertTrue(tree.Size() == 1, "expecting size == 1")
    fnAssertTrue(tree.IsNotEmpty(), "expecting not empty")

    // test min
    ok, v := tree.Min()
    fnAssertTrue(ok, "expecting min() ok")
    fnAssertTrue(v == 5, "expecting 5")

    // test max
    ok, v = tree.Max()
    fnAssertTrue(ok, "expecting max() ok")
    fnAssertTrue(v == 5, "expecting 5")
    fnAssertTrue(tree.String() == "r=5,s=1,v=1 5", "expecting r=5,s=1,v=1 5")

    // test pop one
    ok, v = tree.PopMin()
    t.Log(tree)
    fnAssertTrue(tree.String() == "r=nil,s=0,v=2", "expecting r=nil,s=0,v=2")
    fnAssertTrue(ok, "expecting PopMin() ok")
    fnAssertTrue(v == 5, "expecting 5")
    fnAssertTrue(tree.Size() == 0, "expecting size == 0")
    fnAssertTrue(tree.IsEmpty(), "expecting empty")

    // test batch push
    samples := []int{ 5,4,8, 2, 7, 9, 1,3,6}
    for i := 0;i < len(samples);i++ {tree.Push(samples[i])
    }
    t.Log(tree)
    fnAssertTrue(tree.Size() == len(samples), "expecting Size() == len(samples)")
    fnAssertTrue(tree.String() == "r=5,s=9,v=11 5,4,8,2,7,9,1,3,6", "expecting r=5,s=9,v=11 5,4,8,2,7,9,1,3,6")

    for _,it := range samples {fnAssertTrue(tree.Has(it), "expecting Has() == true")
    }

    // test iterator
    iter := tree.Iterator()
    fnAssertTrue(iter.More(), "expectiong More()")
    iterItems := make([]string, 0)
    for range samples {ok,v = iter.Next()
        t.Logf("ok=%v, v=%v", true, v)
        fnAssertTrue(ok, "expectiong Next()")
        iterItems = append(iterItems, fmt.Sprintf("%v", v))
    }
    fnAssertTrue(strings.Join(iterItems, ",") == "5,4,8,2,7,9,1,3,6", "expecting 5,4,8,2,7,9,1,3,6")
    fnAssertTrue(iter.More() == false, "expectiong !iter.More()")
    ok,v = iter.Next()
    fnAssertTrue(!ok, "expecting !iter.Next()")

    // test min
    ok,v = tree.Min()
    fnAssertTrue(ok, "expecting ok")
    fnAssertTrue(v == 1, "expection Min() == 1")

    // test max
    ok,v = tree.Max()
    fnAssertTrue(ok, "expecting ok")
    fnAssertTrue(v == 9, "expection Max() == 9")

    // test batch pop min
    for i := 1;i <= 9;i ++ {ok,v = tree.PopMin()
        t.Logf("i=%v v=%v tree=%s", i, v, tree.String())
        fnAssertTrue(ok, "expecting ok")
        fnAssertTrue(v == i, fmt.Sprintf("expecting %v", i))
    }

    // test batch pop max
    for i := 0;i < len(samples);i++ {tree.Push(samples[i])
    }
    t.Log(tree)
    for i := 1;i <= 9;i ++ {ok,v = tree.PopMax()
        t.Logf("i=%v v=%v tree=%s", i, v, tree.String())
        fnAssertTrue(ok, "expecting ok")
        fnAssertTrue(v == 10 - i, fmt.Sprintf("expecting %v", 10 - i))
    }

    // test batch push
    samples = []int{ 2,1,3}
    for i := 0;i < len(samples);i++ {tree.Push(samples[i])
    }
    t.Log(tree)
    fnAssertTrue(tree.String() == "r=2,s=3,v=41 2,1,3", "expecting 2,1,3")

    // test clear
    tree.Clear()
    t.Log(tree)
    fnAssertTrue(tree.String() == "r=nil,s=0,v=42", "expecting empty")
}

$ go test -v bstree_test.go 
=== RUN   Test_BinarySearchTree
    bstree_test.go:33: r=nil,s=0,v=0
    bstree_test.go:40: r=5,s=1,v=1 5
    bstree_test.go:58: r=nil,s=0,v=2
    bstree_test.go:70: r=5,s=9,v=11 5,4,8,2,7,9,1,3,6
    bstree_test.go:84: ok=true, v=5
    bstree_test.go:84: ok=true, v=4
    bstree_test.go:84: ok=true, v=8
    bstree_test.go:84: ok=true, v=2
    bstree_test.go:84: ok=true, v=7
    bstree_test.go:84: ok=true, v=9
    bstree_test.go:84: ok=true, v=1
    bstree_test.go:84: ok=true, v=3
    bstree_test.go:84: ok=true, v=6
    bstree_test.go:106: i=1 v=1 tree=r=5,s=8,v=12 5,4,8,2,7,9,3,6
    bstree_test.go:106: i=2 v=2 tree=r=5,s=7,v=13 5,4,8,3,7,9,6
    bstree_test.go:106: i=3 v=3 tree=r=5,s=6,v=14 5,4,8,7,9,6
    bstree_test.go:106: i=4 v=4 tree=r=5,s=5,v=15 5,8,7,9,6
    bstree_test.go:106: i=5 v=5 tree=r=8,s=4,v=16 8,7,9,6
    bstree_test.go:106: i=6 v=6 tree=r=8,s=3,v=17 8,7,9
    bstree_test.go:106: i=7 v=7 tree=r=8,s=2,v=18 8,9
    bstree_test.go:106: i=8 v=8 tree=r=9,s=1,v=19 9
    bstree_test.go:106: i=9 v=9 tree=r=nil,s=0,v=20
    bstree_test.go:115: r=5,s=9,v=29 5,4,8,2,7,9,1,3,6
    bstree_test.go:118: i=1 v=9 tree=r=5,s=8,v=30 5,4,8,2,7,1,3,6
    bstree_test.go:118: i=2 v=8 tree=r=5,s=7,v=31 5,4,7,2,6,1,3
    bstree_test.go:118: i=3 v=7 tree=r=5,s=6,v=32 5,4,6,2,1,3
    bstree_test.go:118: i=4 v=6 tree=r=5,s=5,v=33 5,4,2,1,3
    bstree_test.go:118: i=5 v=5 tree=r=4,s=4,v=34 4,2,1,3
    bstree_test.go:118: i=6 v=4 tree=r=2,s=3,v=35 2,1,3
    bstree_test.go:118: i=7 v=3 tree=r=2,s=2,v=36 2,1
    bstree_test.go:118: i=8 v=2 tree=r=1,s=1,v=37 1
    bstree_test.go:118: i=9 v=1 tree=r=nil,s=0,v=38
    bstree_test.go:128: r=2,s=3,v=41 2,1,3
    bstree_test.go:133: r=nil,s=0,v=42
--- PASS: Test_BinarySearchTree (0.00s)
PASS
ok      command-line-arguments  0.002s

定义值比拟函数. 值比拟函数能够返回小于, 等于, 大于三种状况

package binary_search_tree

type IComparator interface {Compare(a interface{}, b interface{}) CompareResult
}

type CompareResult int
const LESS CompareResult = -1
const EQUAL CompareResult = 0
const GREATER CompareResult = 1

定义二叉查找树的接口, 增删改查都要.

package binary_search_tree

type IBinarySearchTree interface {Size() int
    IsEmpty() bool
    IsNotEmpty() bool

    Push(value interface{})
    Min() (bool, interface{})
    Max() (bool, interface{})
    Has(value interface{}) bool
    PopMin() (bool, interface{})
    PopMax() (bool, interface{})
    Remove(value interface{}) bool
    Clear()

    Iterator() IIterator
    String() string}

定义二叉查找树的遍历接口.

package binary_search_tree

type IIterator interface {More() bool
    Next() (bool,interface{})
}

值比拟函数的包装器, 实现 IComparator 接口. 具体比拟函数由内部传入.

package binary_search_tree

import "errors"

type FnCompare func(a interface{}, b interface{}) CompareResult

type tComparator struct {fnCompare FnCompare}

func NewComparator(fn FnCompare) IComparator {
    if fn == nil {panic(gNullArgumentError)
    }

    return &tComparator{fnCompare: fn,}
}

func (me *tComparator) Compare(a interface{}, b interface{}) CompareResult {
    if a == nil || b == nil {panic(gNullArgumentError)
    }
    return me.fnCompare(a, b)
}

var gNullArgumentError = errors.New("null argument error")

二叉查找树的示例, 实现 IBinarySearchTree 接口.

package binary_search_tree

import (
    "fmt"
    "strings"
)

type tBinarySearchTree struct {
    comparator IComparator
    root       *tBinaryNode
    size       int
    version    uint64
}

func NewBinarySearchTree(comparator IComparator) IBinarySearchTree {
    return &tBinarySearchTree{
        comparator: comparator,
        root:       nil,
        size:       0,
        version:    0,
    }
}

func (me *tBinarySearchTree) Size() int {return me.size}

func (me *tBinarySearchTree) IsEmpty() bool {return me.size <= 0}

func (me *tBinarySearchTree) IsNotEmpty() bool {return !me.IsEmpty()
}

func (me *tBinarySearchTree) Push(value interface{}) {if me.IsEmpty() {me.root = me.append(value)
        return
    }

    for node := me.root; node != nil; {r := me.comparator.Compare(value, node.value)

        switch r {
        case EQUAL:
            return

        case LESS:
            if node.left == nil {node.left = me.append(value)
                return
            } else {node = node.left}
            break

        case GREATER:
            if node.right == nil {node.right = me.append(value)
                return
            } else {node = node.right}
            break
        }
    }
}

func (me *tBinarySearchTree) append(value interface{}) *tBinaryNode {
    me.size++
    me.version++
    return newBinaryNode(value)
}

func (me *tBinarySearchTree) Min() (bool, interface{}) {ok, _, node := me.getMinNode(me.root)
    if !ok {return false, nil}
    return true, node.value
}

func (me *tBinarySearchTree) Max() (bool, interface{}) {ok, _, node := me.getMaxNode(me.root)
    if !ok {return false, nil}
    return true, node.value
}


func (me *tBinarySearchTree) Has(value interface{}) bool {ok, _, _ := me.find(value)
    return ok
}

func (me *tBinarySearchTree) find(value interface{}) (ok bool, parent *tBinaryNode, node *tBinaryNode) {if me.IsEmpty() {return false, nil, nil}

    for node = me.root; node != nil;parent = node {r := me.comparator.Compare(value, node.value)

        switch r {
        case EQUAL:
            return true, parent, node

        case LESS:
            if node.left == nil {return false, nil, nil} else {node = node.left}
            break

        case GREATER:
            if node.right == nil {return false, nil, nil} else {node = node.right}
            break
        }
    }

    return false, nil, nil
}


func (me *tBinarySearchTree) getMinNode(from *tBinaryNode) (ok bool, parent *tBinaryNode, left *tBinaryNode) {
    if from == nil {return false, nil, nil}

    parent = from
    left = parent.left
    if left == nil {return true, nil, parent}

    for {
        if left.left == nil {return true, parent, left}

        parent = left
        left = parent.left
    }
}

func (me *tBinarySearchTree) getMaxNode(from *tBinaryNode) (ok bool, parent *tBinaryNode, right *tBinaryNode) {
    if from == nil {return false, nil, nil}

    parent = from
    right = parent.right
    if right == nil {return true, nil, parent}

    for {
        if right.right == nil {return true, parent, right}

        parent = right
        right = parent.right
    }
}

func (me *tBinarySearchTree) PopMin() (bool, interface{}) {ok, parent, node := me.getMinNode(me.root)
    if !ok {return false, nil}
    value := node.value

    me.removeNode(parent, node)

    me.size--
    me.version++

    return true, value
}


func (me *tBinarySearchTree) removeNode(parent *tBinaryNode, node *tBinaryNode) {
    left := node.left
    right := node.right

    if parent == nil {switch node.childrenCount() {
        case 0:
            me.root = nil
            break

        case 1:
            if left != nil {me.root = left} else if right != nil {me.root = right}

        default:
            _, p,n := me.getMaxNode(left)
            me.removeNode(p, n)
            me.root = n
        }

    } else {switch node.childrenCount() {
        case 0:
            if parent.left == node {parent.left = nil} else {parent.right = nil}
            break

        case 1:
            if left != nil {
                if parent.left == node {parent.left = left} else {parent.right = left}
            } else if right != nil {
                if parent.left == node {parent.left = right} else {parent.right = right}
            }

        default:
            _, p,n := me.getMaxNode(left)
            me.removeNode(p, n)
            if parent.left == node {parent.left = n} else {parent.right = n}
        }
    }
}

func (me *tBinarySearchTree) PopMax() (bool, interface{}) {ok, parent, node := me.getMaxNode(me.root)
    if !ok {return false, nil}

    me.removeNode(parent, node)

    me.size--
    me.version++

    return true, node.value
}

func (me *tBinarySearchTree) Remove(value interface{}) bool {ok, parent, node := me.find(value)
    if !ok {return false}

    me.removeNode(parent, node)

    me.size--
    me.version++

    return true
}

func (me *tBinarySearchTree) Clear() {if me.IsEmpty() {return}

    me.root = nil
    me.size = 0
    me.version++
}

func (me *tBinarySearchTree) Iterator() IIterator {return newBSTreeIterator(me)
}

func (me *tBinarySearchTree) String() string {queue := newVisitQeuue()
    queue.push(me.root)

    items := make([]string, 0)
    for ;queue.more(); {ok, node := queue.poll()
        if ok {queue.push(node.left)
            queue.push(node.right)
            items = append(items, fmt.Sprintf("%v", node.value))

        } else {break}
    }

    r := "nil"
    if me.root != nil {r = fmt.Sprintf("%v", me.root.value)
    }

    if len(items) > 0 {return fmt.Sprintf("r=%v,s=%v,v=%v %s", r, me.size, me.version, strings.Join(items, ","))
    } else {return fmt.Sprintf("r=%v,s=%v,v=%v", r, me.size, me.version)
    }
}

二叉查找树节点

package binary_search_tree

type tBinaryNode struct {value interface{}
    left *tBinaryNode
    right *tBinaryNode
}

func newBinaryNode(value interface{}) *tBinaryNode {
    return &tBinaryNode{
        value: value,
        left: nil,
        right: nil,
    }
}

func (me *tBinaryNode) childrenCount() int {
    left := me.left
    right := me.right

    if left == nil && right == nil {return 0}

    if left == nil || right == nil {return 1}

    return 2
}

二叉查找树的遍历迭代器, 外部应用广度优先搜寻 + 候选队列.

package binary_search_tree

type tBSTreeIterator struct {
    tree *tBinarySearchTree
    queue *tVisitQueue
    version uint64
}


type tVisitQueue struct {
    head *tQueuedNode
    tail *tQueuedNode
}

type tQueuedNode struct {
    node *tBinaryNode
    next *tQueuedNode
}

func newQueuedNode(node *tBinaryNode) *tQueuedNode {
    return &tQueuedNode{
        node: node,
        next: nil,
    }
}

func newVisitQeuue() *tVisitQueue {
    return &tVisitQueue{
        nil,
        nil,
    }
}

func (me *tVisitQueue) push(node *tBinaryNode) {
    if node == nil {return}

    qn := newQueuedNode(node)
    if me.head == nil {
        me.head = qn
        me.tail = qn
    } else {
        me.tail.next = qn
        me.tail = qn
    }
}

func (me *tVisitQueue) poll() (bool, *tBinaryNode) {
    if me.head == nil {return false, nil} else {
        it := me.head
        if it == me.tail {me.tail = nil}
        me.head = me.head.next
        return true, it.node
    }
}

func (me *tVisitQueue) more() bool {return me.head != nil}

func newBSTreeIterator(tree *tBinarySearchTree) IIterator {
    it := &tBSTreeIterator{
        tree: tree,
        queue: newVisitQeuue(),
        version: tree.version,
    }
    it.queue.push(tree.root)
    return it
}

func (me *tBSTreeIterator) More() bool {
    if me.version != me.tree.version {return false} else {return me.queue.more()
    }
}

func (me *tBSTreeIterator) Next() (bool, interface{}) {if !me.More() {return false, nil}

    ok, node := me.queue.poll()
    if !ok {return false, nil}

    me.queue.push(node.left)
    me.queue.push(node.right)
    return true, node.value
}

(end)

正文完

算法

发表至：算法

2021-02-20

0

关于算法:CSSE20027023

关于算法:想要学习启发式算法推荐你看看这个价值极高的开源项目

关于算法:八大排序算法16张图带你彻底搞懂基数排序

关于算法:CSCI-531-编导指南

关于需求分析:你真的了解用户吗浅谈用户画像的意义和方法-IDCF

关于算法:手撸golang-基本数据结构与算法-二叉查找树

手撸 golang 根本数据结构与算法二叉查找树

缘起

二叉查找树

指标

设计

单元测试

测试输入

IComparator.go

IBinarySearchTree.go

IIterator.go

tComparator.go

tBinarySearchTree.go

tBinaryNode.go

tBSTreeIterator.go

站内搜索

关于算法:手撸golang-基本数据结构与算法-二叉查找树

手撸 golang 根本数据结构与算法 二叉查找树

缘起

二叉查找树

指标

设计

单元测试

测试输入

IComparator.go

IBinarySearchTree.go

IIterator.go

tComparator.go

tBinarySearchTree.go

tBinaryNode.go

tBSTreeIterator.go

站内搜索

手撸 golang 根本数据结构与算法二叉查找树