Answer:
Step-by-step explanation:
Here is an example of a binary search tree (BST) implementation in Python using a list:
class BST:
def __init__(self, data):
self.root = [data, [], []]
def insert_left(self, data):
if self.root[1] == []:
self.root[1] = [data, [], []]
else:
t = BST(data)
t.root[1] = self.root[1]
self.root[1] = t.root
def insert_right(self, data):
if self.root[2] == []:
self.root[2] = [data, [], []]
else:
t = BST(data)
t.root[2] = self.root[2]
self.root[2] = t.root
def get_left_child(self):
return self.root[1]
def get_right_child(self):
return self.root[2]
def set_root_val(self, data):
self.root[0] = data
def get_root_val(self):
return self.root[0]
This implementation uses a list to represent the nodes of the tree. Each node contains the data value, and the indices of the left and right child nodes (which are also lists).
To create a BST object, we can use the following code:
python
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my_bst = BST(5)
my_bst.insert_left(3)
my_bst.insert_right(8)
This creates a BST with a root node of 5, a left child node of 3, and a right child node of 8.
We can access and modify the values of the nodes using the methods get_root_val, set_root_val, get_left_child, and get_right_child. For example:
print(my_bst.get_root_val()) # output: 5
my_bst.set_root_val(7)
print(my_bst.get_root_val()) # output: 7
print(my_bst.get_left_child().get_root_val()) # output: 3
This code sets the root value to 7, and then prints the root value and the value of the left child node. The output should be:
7
3