Exemple #1
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    def get_utxoset_merkle_root(self):
        """Returns the merkle root of the utxoset. This implies that
        the utxoset is first put into a merkle tree.

        For now, the merkle tree and its root will be computed each
        time. This obviously is not efficient and a better approach
        that limits the repetition of the same computation when
        unnecesary should be sought. For instance, future optimizations
        could simply re-compute the branches of the tree that were
        affected by a change.

        The transaction hash (id) and output index should be sufficient
        to uniquely identify a utxo, and consequently only that
        information from a utxo record is needed to compute the merkle
        root. Hence, each node of the merkle tree should contain the
        tuple (txid, output_index).

        .. important:: The leaves of the tree will need to be sorted in
            some kind of lexicographical order.

        Returns:
            str: Merkle root in hexadecimal form.
        """
        utxoset = backend.query.get_unspent_outputs(self.connection)
        # TODO Once ready, use the already pre-computed utxo_hash field.
        # See common/transactions.py for details.
        hashes = [
            sha3_256('{}{}'.format(utxo['transaction_id'],
                                   utxo['output_index']).encode()).digest()
            for utxo in utxoset
        ]
        # TODO Notice the sorted call!
        return merkleroot(sorted(hashes))
Exemple #2
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    def get_utxoset_merkle_root(self):
        """Returns the merkle root of the utxoset. This implies that
        the utxoset is first put into a merkle tree.

        For now, the merkle tree and its root will be computed each
        time. This obviously is not efficient and a better approach
        that limits the repetition of the same computation when
        unnecesary should be sought. For instance, future optimizations
        could simply re-compute the branches of the tree that were
        affected by a change.

        The transaction hash (id) and output index should be sufficient
        to uniquely identify a utxo, and consequently only that
        information from a utxo record is needed to compute the merkle
        root. Hence, each node of the merkle tree should contain the
        tuple (txid, output_index).

        .. important:: The leaves of the tree will need to be sorted in
            some kind of lexicographical order.

        Returns:
            str: Merkle root in hexadecimal form.
        """
        utxoset = backend.query.get_unspent_outputs(self.connection)
        # TODO Once ready, use the already pre-computed utxo_hash field.
        # See common/transactions.py for details.
        hashes = [
            sha3_256(
                '{}{}'.format(utxo['transaction_id'], utxo['output_index']).encode()
            ).digest() for utxo in utxoset
        ]
        # TODO Notice the sorted call!
        return merkleroot(sorted(hashes))
Exemple #3
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def test_merkleroot():
    from bigchaindb.tendermint_utils import merkleroot
    hashes = [sha3_256(i.encode()).digest() for i in 'abc']
    assert merkleroot(hashes) == (
        '78c7c394d3158c218916b7ae0ebdea502e0f4e85c08e3b371e3dfd824d389fa3')
Exemple #4
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def test_merkleroot():
    from bigchaindb.tendermint_utils import merkleroot
    hashes = [sha3_256(i.encode()).digest() for i in 'abc']
    assert merkleroot(hashes) == (
        '78c7c394d3158c218916b7ae0ebdea502e0f4e85c08e3b371e3dfd824d389fa3')