Add Python implementations for binary search tree operations #2179
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This commit introduces Python implementations for various operations and functionalities related to binary search trees (BSTs). The added files include: - `insert_in_bst.py`: Code for inserting a node into a BST. - `search_in_bst.py`: Code for searching for a node in a BST. - `delete_a_node_in_bst.py`: Code for deleting a node from a BST. - `inorder_traversal.py`: Code for implementing an in-order traversal of a BST. - `mirror_a_bst.py`: Code for creating a mirror image of a BST. - `print_in_range.py`: Code for printing all nodes in a BST that lie within a specific range of values. - `root_to_leaf_paths.py`: Code for finding all root-to-leaf paths in a BST. - `validate_bst.py`: Code for validating a BST to ensure that it follows the BST properties. These implementations aim to enhance the functionality of the repository and provide developers with efficient tools for working with BSTs in Python projects. The code follows Python coding conventions and includes unit tests to ensure correctness and reliability.
NitkarshChourasia
approved these changes
May 8, 2024
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Thank you 😊.. |
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This commit introduces Python implementations for various operations and functionalities related to binary search trees (BSTs). The added files include:
insert_in_bst.py: Code for inserting a node into a BST.search_in_bst.py: Code for searching for a node in a BST.delete_a_node_in_bst.py: Code for deleting a node from a BST.inorder_traversal.py: Code for implementing an in-order traversal of a BST.mirror_a_bst.py: Code for creating a mirror image of a BST.print_in_range.py: Code for printing all nodes in a BST that lie within a specific range of values.root_to_leaf_paths.py: Code for finding all root-to-leaf paths in a BST.validate_bst.py: Code for validating a BST to ensure that it follows the BST properties.These implementations aim to enhance the functionality of the repository and provide developers with efficient tools for working with BSTs in Python projects. The code follows Python coding conventions and includes unit tests to ensure correctness and reliability.