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        "author": "William Borgeaud",
        "author_email": "williamborgeaud@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "# Perkle: A simple Python 3 implementation of Merkle Trees\nPerkle provides a simple, all python, implementation of Merkle Trees. \n\n## Installation\nThe package can be installed via pip:\n```bash\npip install perkle\n```\nor by cloning this repository.\n\nThe package `pycryptodome` is in the requirements. Make sure that this will not conflict with an installation of the (deprecated) package `pycrypto`.\n\n## Example\nHere is how to create a Merkle Tree of numbers from 0 to 9:\n```python\nfrom Crypto.Hash import SHA256\nfrom perkle import MerkleTree\nfrom binascii import hexlify\ndata_list = [b'0', b'1', b'2', b'3', b'4', b'5', b'6', b'7', b'8', b'9']\nsha256 = lambda x : SHA256.new(x).digest() \nmt = MerkleTree(data_list, sha256, random_padding=False, padding_byte=b'0')\nprint(hexlify(mt.root()))\n#70cc27c03c0444d1dfc63f58e373a2882a7b9f4f7f6ed1a4dfc1a94a5ac5875c\n```\nBy default, we add a random padding to the data to have a power of two leaves. You can make the padding non-random with the `random_padding` parameter to make the results consistent.\n\nNew data can be inserted in the Merkle Tree:\n```python\ndata = b'10'\nmt.insert(data)\nprint(hexlify(mt.root()))\n#3e32b51c76de4b124f1fedfbb4d5a30d117274bf04b538ca7f10434e2f8a35b9\n```\n\nAnd existing data can be updated:\n```python\nnew_data = b'zero'\nmt.update(0,new_data)\nprint(hexlify(mt.root()))\n#d485ca0c92d339d2e8495216cdb420f0e215003fffdb62d09da56d8739c94a11\n```\n\nProofs can be easily generated:\n```python\nindex, proof_hashes = mt.proof(b'7')\n```\nand verified:\n```python\nprint(MerkleTree.verify(b'7',index,proof_hashes,mt.root(),sha256))\n#True\n```\n\n",
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        "name": "perkle",
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