Answers for "implement a binary search tree in python"

binary tree python

class Binarytree:
    def __init__(self,data):
        self.data = data
        self.left = None
        self.right = None
    
    def addChild(self, data):
        if data == self.data:
            return
        
        if data < self.data:
            if self.left:
                self.left.addChild(data)
            else:
                self.left = Binarytree(data)
        else:
            if self.right:
                self.right.addChild(data)
            else:
                self.right = Binarytree(data)
    
    def inorder(self):
        element = [ ]
        
        if self.left:
            element += self.left.inorder()
        
        element.append(self.data)
        
        if self.right:
            element += self.right.inorder()
        
        return element
    
    def search(self,val):
        if val == self.data:
            return True
        if val < self.data:
            if self.left:
                return self.left.search(val)
            else:
                return False
        else:
            if self.right:
                return self.right.search(val)
            else:
                return False

def buildtree(element):
    root = Binarytree(element[0])
    for i in range(1,len(element)):
        root.addChild(element[i])
    return root
    
if __name__ == '__main__':
    element = [39, 87, 21, 42, 95, 52, 12]
    tree = buildtree(element)
    print(tree.inorder())
    print(tree.search(38))

binary tree in pythons

class Binary:
    def __init__(self, data):
        self.data = data
        self.left = None
        self.right = None
    
    def addChild(self, data):
        if data == self.data:
            return
        if data < self.data:
            if self.left:
                self.left.addChild(data)
            else:
                self.left = Binary(data)
        else:
            if self.right:
                self.right.addChild(data)
            else:
                self.right = Binary(data)
    
    def inorder(self):
        ele = []
        
        if self.left:
            ele += self.left.inorder()
        ele.append(self.data)
        
        if self.right:
            ele += self.right.inorder()
        
        return ele
    
    def search(self, data):
        if data == self.data:
            return True
        if data < self.data:
            if self.left:
                return self.left.search(data)
            else:
                return False
        else:
            if self.right:
                return self.right.search(data)
            else:
                return False
    
    def find_min(self):
        if self.left is None:
            return self.data
        return self.left.find_min()
    
    def find_max(self):
        if self.right is None:
            return self.data
        return self.right.find_max()
    
    def delete(self, val):
        if val < self.data:
            if self.left:
                self.left = self.left.delete(val)
        elif val > self.data:
            if self.right:
                self.right = self.right.delete(val)
        else:
            if self.left is None and self.right is None:
                return None
            if self.left is None:
                return self.right
            if self.right is None:
                return self.left
            
            min_val = self.right.find_min()
            self.data = min_val
            self.right = self.right.delete(val)
        
        return self



def build(element):
    root = Binary(element[0])
    for i in range(1,len(element)):
        root.addChild(element[i])
    return root

if __name__ == '__main__':
    element = [32, 89, 12, 94, 23, 61, 2]
    tree = build(element)
    print(tree.inorder())
    print(tree.search(62))
    print(tree.find_min())
    print(tree.find_max())
    tree.delete(12)
    print(tree.inorder())