Skip to content

Latest commit

 

History

History
37 lines (29 loc) · 2.88 KB

README.md

File metadata and controls

37 lines (29 loc) · 2.88 KB
Raw

Merkle-Tree

Overview

This is a python implementation for a Merkle Tree which is data structure used in blockchain for efficient verification and validation of data.

Prerequisites

  • Python 3.10.9

Demo

from merkle_tree import MerkleTree

tree = MerkleTree(["ahmed", "amine"])
print(tree.root)
print(tree.root.value)
print(tree.root.hash)
print(tree.nodes)

# output:
# ['ahmed', 'amine']: c794b5771d155548940618b3c71057aee20154b1cf8f8415089aeba15ff6a593
# ['ahmed', 'amine']
# c794b5771d155548940618b3c71057aee20154b1cf8f8415089aeba15ff6a593
# [[['ahmed', 'amine']: c794b5771d155548940618b3c71057aee20154b1cf8f8415089aeba15ff6a593], 
# [['ahmed']: 9af2921d3fd57fe886c9022d1fcc055d53a79e4032fa6137e397583884e1a5de, 
# ['amine']: 54c330d5fa02d666849bbf31f5b97395fe155b38a5ca09c719d279086c214e5e]]

Running tests

You can run tests using Python's built-in unittest module. The -v flag is optional and can be used for verbose output. For more informations on flags check: unittest — Unit testing framework.

python -m unittest [-v] merkle_tree.test

License

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or distribute this software, either in source code form or as a compiled binary, for any purpose, commercial or non-commercial, and by any means.