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dsa-tutoring/notes-and-examples/2026.05.13/homework.py
2026-05-20 15:41:27 -07:00

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Python

# Also do the 2026.05.06 homework
#
# Implement insertion, removal and search in a binary search tree.
# Properties of binary search trees:
# - Each node has at most two children
# - The left subtree of a node contains only nodes with values less than the node's value
# - The right subtree of a node contains only nodes with values greater than the node's value
#
# Example of what such a tree would look like:
# 10
# / \
# 5 15
# / \ \
# 3 7 20
#
# Example of an *invalid* tree:
# 10
# / \
# 5 15
# / \ \
# 3 7 20
# \
# 12
#
# Don't worry about balancing the tree for now, we will cover that later
class Node:
def __init__(self, value, left=None, right=None):
self.value = value
self.left: Node | None = left
self.right: Node | None = right
class BinarySearchTree:
def __init__(self, root=None):
self.root: Node | None = root
def find_prev_node(self, value):
prev_node: Node | None = None
node = self.root
while node is not None:
prev_node = node
if node.value >= value:
node = node.left
else:
node = node.right
return prev_node
def find_existing_node_and_parent(self, value):
prev_node: Node | None = None
node = self.root
while node is not None:
if value == node.value:
return node, prev_node
prev_node = node
if value < node.value:
node = node.left
else:
node = node.right
return None, None
def insert(self, value):
prev_node = self.find_prev_node(value)
if prev_node is None:
self.root = Node(value)
return
if prev_node.value >= value:
prev_node.left = Node(value)
else:
prev_node.right = Node(value)
def remove(self, value):
node, prev_node = self.find_existing_node_and_parent(value)
if prev_node is None and node is not None:
self.root = None
return
elif node is not None:
if prev_node.value >= value:
prev_node.left = None
else:
prev_node.right = None
def search(self, value):
node = self.root
while node is not None:
if value == node.value:
return node
elif value < node.value:
node = node.left
else:
node = node.right
return None
print("================ Inserts ================")
test_tree = BinarySearchTree()
test_tree.insert(5)
test_tree.insert(3)
print(test_tree.root.left.value)
test_tree.insert(4)
test_tree.insert(6)
print(test_tree.root.left.right.value)
print(test_tree.root.right.value)
print("================ Searches ================")
# is the search result giving us the expected node?
print(test_tree.search(4) == test_tree.root.left.right)
print(test_tree.search(6) == test_tree.root.right)
print("================ Removals ================")
test_tree.remove(4)
print(test_tree.root.left.right)
test_tree.remove(6)
print(test_tree.root.right)
test_tree.remove(3)
print(test_tree.root.left)
test_tree.remove(5)
print(test_tree.root)