二叉搜索树的创建、遍历、插入、查找、删除

import queue

"""
二叉搜索树：
特点：左子树的值小于根节点的值；右子树的值大于根节点的值
1.创建
2.插入节点
3.广度优先遍历
4.根据值查找节点
5.删除节点
"""


class TreeNode(object):
    """定义树的节点"""

    def __init__(self, val):
        self.value = val
        self.father = None
        self.left = None
        self.right = None


class BinarySearchTree(object):
    def __init__(self, nodeList):
        """构建二叉搜索树"""
        self.root = None
        for node in nodeList:
            self.insert(node)

    def insert(self, node):
        """插入节点"""
        father = None
        cur = self.root
        # 找到要插入的位置
        while cur is not None:
            if cur.value == node.value:
                return -1
            father = cur
            if node.value < cur.value:
                cur = cur.left
            else:
                cur = cur.right
        # 插入节点
        node.father = father
        if father is None:
            # print("插入根节点")
            self.root = node
        elif node.value < father.value:
            # print("插入左子树")
            father.left = node
        else:
            # print("插入右子树")
            father.right = node

    def breadthFirstSearch(self):
        """广度优先遍历"""
        if self.root is None:
            return None
        resultList = []
        q = queue.Queue()
        q.put(self.root)
        while not q.empty():
            node = q.get()
            # print(node.value)
            resultList.append(node.value)
            if node.left is not None:
                q.put(node.left)
            if node.right is not None:
                q.put(node.right)
        return resultList

    def search(self, value):
        """根据值查找节点"""
        cur = self.root
        while cur is not None:
            if cur.value == value:
                return cur
            if value < cur.value:
                cur = cur.left
            if value > cur.value:
                cur = cur.right
        return None

    def deleteNode(self, node):
        """删除节点"""
        father = node.father
        # 删除的节点没有左子树，右子树代替删除的节点
        if node.left is None:
            # 删除的节点是根节点
            if father is None:
                self.root = node.right
                if node.right is not None:
                    node.right.father = None
            # 删除的节点不是根节点
            elif father.left == node:  # 删除的节点是左子节点
                father.left = node.right
                if node.right is not None:
                    node.right.father = father
            else:  # 删除的节点是右子节点
                father.right = node.right
                if node.right is not None:
                    node.right.father = father
            return 1
        # 删除的节点有左子树，右子树挂到左子树的最右节点
        tmpNode = node.left
        while tmpNode.right is not None:
            tmpNode = tmpNode.right
        tmpNode.right = node.right
        if node.right is not None:
            node.right.father = tmpNode
        # 删除的节点是根节点
        if father is None:
            self.root = node.left
            node.left.father = None
        # 删除的节点是左子节点
        elif father.left == node:
            father.left = node.left
            node.left.father = father
        # 删除的节点是右子节点
        else:
            father.right = node.left
            node.left.father = father
        # node=None
        return 2


if __name__ == '__main__':
    data = [24, 34, 5, 4, 8, 23, 45, 35, 28, 6, 29]
    nodeList = [TreeNode(d) for d in data]
    # 构建二叉搜索树
    bst = BinarySearchTree(nodeList)
    # 广度优先遍历
    print(bst.breadthFirstSearch())
    # 根据值查找节点
    print(bst.search(23))
    node = bst.search(8)
    # 删除节点
    bst.deleteNode(node)
    print(bst.breadthFirstSearch())