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a simple implementation of a Binary Search Tree in Python
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class Node: | |
def __init__(self, val): | |
self.val = val | |
self.leftChild = None | |
self.rightChild = None | |
def get(self): | |
return self.val | |
def set(self, val): | |
self.val = val | |
def getChildren(self): | |
children = [] | |
if(self.leftChild != None): | |
children.append(self.leftChild) | |
if(self.rightChild != None): | |
children.append(self.rightChild) | |
return children | |
class BST: | |
def __init__(self): | |
self.root = None | |
def setRoot(self, val): | |
self.root = Node(val) | |
def insert(self, val): | |
if(self.root is None): | |
self.setRoot(val) | |
else: | |
self.insertNode(self.root, val) | |
def insertNode(self, currentNode, val): | |
if(val <= currentNode.val): | |
if(currentNode.leftChild): | |
self.insertNode(currentNode.leftChild, val) | |
else: | |
currentNode.leftChild = Node(val) | |
elif(val > currentNode.val): | |
if(currentNode.rightChild): | |
self.insertNode(currentNode.rightChild, val) | |
else: | |
currentNode.rightChild = Node(val) | |
def find(self, val): | |
return self.findNode(self.root, val) | |
def findNode(self, currentNode, val): | |
if(currentNode is None): | |
return False | |
elif(val == currentNode.val): | |
return True | |
elif(val < currentNode.val): | |
return self.findNode(currentNode.leftChild, val) | |
else: | |
return self.findNode(currentNode.rightChild, val) |
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Thanks a lot @Aniket2ten96 for pointing it out
I have made the changes
You are right, it should be finding out the minimum in the subtree where
self.rightNode
acts as the root. Hence replaced the wrong function withfind_min_in_sub_tree
along with its implementation