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        "description": ".. _header:\n\n******************\nmerkle-tree-stream\n******************\n\n.. image:: https://img.shields.io/badge/license-MIT-brightgreen.svg\n   :target: LICENSE\n   :alt: Repository license\n\n.. image:: https://badge.fury.io/py/merkle-tree-stream.svg\n   :target: https://badge.fury.io/py/merkle-tree-stream\n   :alt: PyPI package\n\n.. image:: https://travis-ci.com/datpy/merkle-tree-stream.svg?branch=master\n   :target: https://travis-ci.com/datpy/merkle-tree-stream\n   :alt: Travis CI result\n\n.. image:: https://readthedocs.org/projects/merkle-tree-stream/badge/?version=latest\n   :target: https://merkle-tree-stream.readthedocs.io/en/latest/\n   :alt: Documentation status\n\n.. image:: https://img.shields.io/badge/support-maintainers-brightgreen.svg\n   :target: https://decentral1.se\n   :alt: Support badge\n\n.. _introduction:\n\nA stream that generates a merkle tree based on the incoming data\n----------------------------------------------------------------\n\nFrom `The Dat Protocol`_: \n\n.. _The Dat Protocol: https://datprotocol.github.io/book/ch01-01-flat-tree.html\n\n    A hash tree or merkle tree is a tree in which every leaf node is labelled\n    with the hash of a data block and every non-leaf node is labelled with the\n    cryptographic hash of the labels of its child nodes. Merkle trees in Dat\n    are specialized `flat trees`_ that contain the content of the archives.\n\n    .. _Flat Trees: https://flat-tree.readthedocs.io/en/latest/\n\nSee the following for more:\n\n  * The Dat Protocol: `Merkle Tree`_\n  * The Dat Protocol: `Merkle Tree Stream`_\n\n.. _Merkle Tree: https://datprotocol.github.io/book/ch01-02-merkle-tree.html\n.. _Merkle Tree Stream: https://datprotocol.github.io/book/ch02-02-merkle-tree-stream.html\n\nA note on naming\n================\n\nFor the purposes of uniformity and easy of discovery alongside the reference\nimplementation, we use the same module name as `merkle-tree-stream`_. However,\nthere is currently no stream implemented, only a generator is available. This\nis because the reference implementation of Hypercore 7 makes use of the\ngenerator only. A `stream`_ implementation may follow.\n\n.. _merkle-tree-stream: https://github.com/mafintosh/merkle-tree-stream\n.. _stream: https://docs.python.org/3/library/asyncio-stream.html\n\n.. _example:\n\n.. code-block:: python\n\n    from hashlib import sha256\n    from merkle_tree_stream import MerkleTreeGenerator\n\n    def leaf(node, roots=None):\n        return sha256(node.data).digest()\n\n    def parent(first, second):\n        sha256 = hashlib.sha256()\n        sha256.update(first.data)\n        sha256.update(second.data)\n        return sha256.digest()\n\n    merkle = MerkleTreeGenerator(leaf=leaf, parent=parent)\n    merkle.write('hello')\n    merkle.write('hashed')\n    merkle.write('world')\n\n.. _documentation:\n\nDocumentation\n*************\n\n* `merkle-tree-stream.readthedocs.io`_\n\n.. _merkle-tree-stream.readthedocs.io: https://merkle-tree-stream.readthedocs.io/\n\nMirroring\n*********\n\n* `hack.decentral1.se/datpy/merkle-tree-stream`_\n* `github.com/datpy/merkle-tree-stream`_\n\n.. _hack.decentral1.se/datpy/merkle-tree-stream: https://hack.decentral1.se/datpy/merkle-tree-stream\n.. _github.com/datpy/merkle-tree-stream: https://github.com/datpy/merkle-tree-stream\n\n\n",
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