Debugging is twice as hard as writing the code in the first place.

If you solve problems related to Data Structures & Algorithms (DSA), you know how frustrating it is to debug complex data structures like Binary Trees and Directed Graphs.

LeetPy is a lightweight Python package that makes you more efficient when you solve DSA problems. It contains utility functions and algorithms that make debugging and testing SO MUCH easier. Here are some features:

• Several Data Structures: Binary Trees, Linked Lists, 2-D Arrays, etc.
• Visualize Your Objects: LeetPy provides convenient print() functions that show you what your structure looks like (all inside your terminal!).
• Save & Export: Serialization and export functions help you save an exact copy of your structure, and give you the code to generate them from scratch.
• Flexibility: Create your data structure however you want; LeetPy's algorithms will always work correctly.

Installation

To install the latest stable release, run:

$ pip install leetpy

To install from the latest GitHub commit:

pip install git+https://github.com/aryanpingle/leetpy

Usage & Examples

Here's a minimal use-case:

# Create a random binary tree and visualize it

from leetpy import BinaryTree

root = BinaryTree.create(n=20)  # create a random binary tree with 20 nodes
BinaryTree.print_structure(root)  # visualize the binary tree

And here's a complex one:

# Suppose you want to 'save' 10 binary search trees (example: for testing purposes)
# You would need some Python code that generates each tree exactly

from leetpy import BinaryTree

for i in range(1, 11):
    # Generate a random binary search tree (BST) with 20 nodes
    # Each node should have a value between 1 and 10 (inclusive)
    root = BinaryTree.create(n=20, min_val=1, max_val=10, make_bst=True)
    
    # Get the python code that generates this exact BST
    # Oh, and make each node an object of class "CustomNode"
    # Oh, and keep indentation to 2 spaces
    code += "\n" + BinaryTree.export_as_code(root, node_alias="CustomNode", indent=2)

with open("testing.py", "w") as f:
    f.write(code)

LeetPy offers a wide range of utility functions - for a wide range of data structures. For a comprehensive list of usage examples, check out /examples/README.md.

Development

LeetPy has plans to support the following data structures:

• 1-D Arrays
• 2-D Arrays
• Binary Trees
• Singly Linked Lists
• Doubly Linked Lists
• Undirected Graphs (Weighted + Unweighted)
• Directed Graphs (Weighted + Unweighted)

All data structures have some common API's:

• create() -> structure - To create the structure with random data and properties based on certain parameters
• export_as_code(structure) -> str - To get an independent Python3 function that when called, returns the given data structure
• export_as_svg(structure) -> None - To create an SVG file with a visualization of the given data structure
• print(structure) -> None - To print a representation of the data structure to the terminal