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avl_tree.py: Add AVL Tree Data Structure
Closes #50
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#!/usr/bin/env python3 | ||
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class TreeNode: | ||
""" | ||
A node class | ||
:param val: Node value | ||
""" | ||
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def __init__(self, val): | ||
self.val = val | ||
self.left = None | ||
self.right = None | ||
self.height = 1 | ||
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class AVL_Tree: | ||
""" | ||
AVL Tree class | ||
""" | ||
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def insert(self, root, key): | ||
""" | ||
Recursive function to insert key in subtree rooted with node | ||
:returns: new root of subtree | ||
""" | ||
# step 1 : normal BST | ||
if not root: | ||
return TreeNode(key) | ||
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if key < root.val: | ||
root.left = self.insert(root.left, key) | ||
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else: | ||
root.right = self.insert(root.right, key) | ||
# Step 2 : Update the height of the ancestor root | ||
root.height = 1 + max(self.getHeight(root.left), | ||
self.getHeight(root.right)) | ||
# Step 3 : get the balance factor | ||
balance = self.getBalance(root) | ||
# step 4 : if root is unbalanced, try the 4 cases | ||
# case 1 - left left | ||
if balance > 1 and key < root.left.val: | ||
return self.rightRotate(root) | ||
# Case 2 - Right Right | ||
if balance < -1 and key > root.right.val: | ||
return self.leftRotate(root) | ||
# Case 3 - Left Right | ||
if balance > 1 and key > root.left.val: | ||
root.left = self.leftRotate(root.left) | ||
return self.rightRotate(root) | ||
# Case 4 - Right Left | ||
if balance < -1 and key < root.right.val: | ||
root.right = self.rightRotate(root.right) | ||
return self.leftRotate(root) | ||
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return root | ||
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def leftRotate(self, z): | ||
y = z.right | ||
T2 = y.left | ||
# Perform rotation | ||
y.left = z | ||
z.right = T2 | ||
# Update heights | ||
z.height = 1 + max(self.getHeight(z.left), self.getHeight(z.right)) | ||
y.height = 1 + max(self.getHeight(y.left), self.getHeight(y.right)) | ||
# Return the new root | ||
return y | ||
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def rightRotate(self, z): | ||
y = z.left | ||
T3 = y.right | ||
# Perform rotation | ||
y.right = z | ||
z.left = T3 | ||
# Update heights | ||
z.height = 1 + max(self.getHeight(z.left), self.getHeight(z.right)) | ||
y.height = 1 + max(self.getHeight(y.left), self.getHeight(y.right)) | ||
# Return the new root | ||
return y | ||
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def getHeight(self, root): | ||
if not root: | ||
return 0 | ||
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return root.height | ||
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def getBalance(self, root): | ||
if not root: | ||
return 0 | ||
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return self.getHeight(root.left) - self.getHeight(root.right) | ||
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def preOrder(self, root): | ||
if not root: | ||
return | ||
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print("{0} ".format(root.val), end="") | ||
self.preOrder(root.left) | ||
self.preOrder(root.right) | ||
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def inOrder(self, root): | ||
if not root: | ||
return | ||
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self.inOrder(root.left) | ||
print("{0} ".format(root.val), end="") | ||
self.inOrder(root.right) | ||
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def main(): | ||
myTree = AVL_Tree() | ||
root = None | ||
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root = myTree.insert(root, 10) | ||
root = myTree.insert(root, 20) | ||
root = myTree.insert(root, 30) | ||
root = myTree.insert(root, 40) | ||
root = myTree.insert(root, 50) | ||
root = myTree.insert(root, 28) | ||
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print("Pre-order Traversal of the constructed Tree: ") | ||
myTree.preOrder(root) | ||
print() | ||
print("In-order Traversal of the constructed Tree: ") | ||
myTree.inOrder(root) | ||
print() | ||
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if __name__ == "__main__": | ||
main() |