data_structures.binary_tree.floor_and_ceiling

In a binary search tree (BST): * The floor of key ‘k’ is the maximum value that is smaller than or equal to ‘k’. * The ceiling of key ‘k’ is the minimum value that is greater than or equal to ‘k’.

Reference: https://bit.ly/46uB0a2

Author : Arunkumar Date : 14th October 2023

Classes

Node

Functions

floor_ceiling(→ tuple[int | None, int | None])

Find the floor and ceiling values for a given key in a Binary Search Tree (BST).

Module Contents

class data_structures.binary_tree.floor_and_ceiling.Node
__iter__() collections.abc.Iterator[int]
__len__() int
key: int
left: Node | None = None
right: Node | None = None
data_structures.binary_tree.floor_and_ceiling.floor_ceiling(root: Node | None, key: int) tuple[int | None, int | None]

Find the floor and ceiling values for a given key in a Binary Search Tree (BST).

Args:

root: The root of the binary search tree. key: The key for which to find the floor and ceiling.

Returns:

A tuple containing the floor and ceiling values, respectively.

Examples:
>>> root = Node(10)
>>> root.left = Node(5)
>>> root.right = Node(20)
>>> root.left.left = Node(3)
>>> root.left.right = Node(7)
>>> root.right.left = Node(15)
>>> root.right.right = Node(25)
>>> tuple(root)
(3, 5, 7, 10, 15, 20, 25)
>>> floor_ceiling(root, 8)
(7, 10)
>>> floor_ceiling(root, 14)
(10, 15)
>>> floor_ceiling(root, -1)
(None, 3)
>>> floor_ceiling(root, 30)
(25, None)