Hush Full Node software. We were censored from Github, this is where all development happens now. https://hush.is
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// Copyright (c) 2009-2010 Satoshi Nakamoto
// Copyright (c) 2009-2014 The Bitcoin Core developers
// Copyright (c) 2016-2024 The Hush developers
// Distributed under the GPLv3 software license, see the accompanying
// file COPYING or https://www.gnu.org/licenses/gpl-3.0.en.html
/******************************************************************************
* Copyright © 2014-2019 The SuperNET Developers. *
* *
* See the AUTHORS, DEVELOPER-AGREEMENT and LICENSE files at *
* the top-level directory of this distribution for the individual copyright *
* holder information and the developer policies on copyright and licensing. *
* *
* Unless otherwise agreed in a custom licensing agreement, no part of the *
* SuperNET software, including this file may be copied, modified, propagated *
* or distributed except according to the terms contained in the LICENSE file *
* *
* Removal or modification of this copyright notice is prohibited. *
* *
******************************************************************************/
#ifndef HUSH_MERKLEBLOCK_H
#define HUSH_MERKLEBLOCK_H
#include "serialize.h"
#include "uint256.h"
#include "primitives/block.h"
#include "bloom.h"
#include <vector>
/** Data structure that represents a partial merkle tree.
*
* It represents a subset of the txid's of a known block, in a way that
* allows recovery of the list of txid's and the merkle root, in an
* authenticated way.
*
* The encoding works as follows: we traverse the tree in depth-first order,
* storing a bit for each traversed node, signifying whether the node is the
* parent of at least one matched leaf txid (or a matched txid itself). In
* case we are at the leaf level, or this bit is 0, its merkle node hash is
* stored, and its children are not explorer further. Otherwise, no hash is
* stored, but we recurse into both (or the only) child branch. During
* decoding, the same depth-first traversal is performed, consuming bits and
* hashes as they written during encoding.
*
* The serialization is fixed and provides a hard guarantee about the
* encoded size:
*
* SIZE <= 10 + ceil(32.25*N)
*
* Where N represents the number of leaf nodes of the partial tree. N itself
* is bounded by:
*
* N <= total_transactions
* N <= 1 + matched_transactions*tree_height
*
* The serialization format:
* - uint32 total_transactions (4 bytes)
* - varint number of hashes (1-3 bytes)
* - uint256[] hashes in depth-first order (<= 32*N bytes)
* - varint number of bytes of flag bits (1-3 bytes)
* - byte[] flag bits, packed per 8 in a byte, least significant bit first (<= 2*N-1 bits)
* The size constraints follow from this.
*/
class CPartialMerkleTree
{
protected:
/** the total number of transactions in the block */
unsigned int nTransactions;
/** node-is-parent-of-matched-txid bits */
std::vector<bool> vBits;
/** txids and internal hashes */
std::vector<uint256> vHash;
/** flag set when encountering invalid data */
bool fBad;
/** helper function to efficiently calculate the number of nodes at given height in the merkle tree */
unsigned int CalcTreeWidth(int height) {
return (nTransactions+(1 << height)-1) >> height;
}
/** calculate the hash of a node in the merkle tree (at leaf level: the txid itself) */
uint256 CalcHash(int height, unsigned int pos, const std::vector<uint256> &vTxid);
/** recursive function that traverses tree nodes, storing the data as bits and hashes */
void TraverseAndBuild(int height, unsigned int pos, const std::vector<uint256> &vTxid, const std::vector<bool> &vMatch);
/**
* recursive function that traverses tree nodes, consuming the bits and hashes produced by TraverseAndBuild.
* it returns the hash of the respective node.
*/
uint256 TraverseAndExtract(int height, unsigned int pos, unsigned int &nBitsUsed, unsigned int &nHashUsed, std::vector<uint256> &vMatch);
public:
/** serialization implementation */
ADD_SERIALIZE_METHODS;
template <typename Stream, typename Operation>
inline void SerializationOp(Stream& s, Operation ser_action) {
READWRITE(nTransactions);
READWRITE(vHash);
std::vector<unsigned char> vBytes;
if (ser_action.ForRead()) {
READWRITE(vBytes);
CPartialMerkleTree &us = *(const_cast<CPartialMerkleTree*>(this));
us.vBits.resize(vBytes.size() * 8);
for (unsigned int p = 0; p < us.vBits.size(); p++)
us.vBits[p] = (vBytes[p / 8] & (1 << (p % 8))) != 0;
us.fBad = false;
} else {
vBytes.resize((vBits.size()+7)/8);
for (unsigned int p = 0; p < vBits.size(); p++)
vBytes[p / 8] |= vBits[p] << (p % 8);
READWRITE(vBytes);
}
}
/** Construct a partial merkle tree from a list of transaction ids, and a mask that selects a subset of them */
CPartialMerkleTree(const std::vector<uint256> &vTxid, const std::vector<bool> &vMatch);
CPartialMerkleTree();
/**
* extract the matching txid's represented by this partial merkle tree.
* returns the merkle root, or 0 in case of failure
*/
uint256 ExtractMatches(std::vector<uint256> &vMatch);
};
/**
* Used to relay blocks as header + vector<merkle branch>
* to filtered nodes.
*/
class CMerkleBlock
{
public:
/** Public only for unit testing */
CBlockHeader header;
CPartialMerkleTree txn;
public:
/** Public only for unit testing and relay testing (not relayed) */
std::vector<std::pair<unsigned int, uint256> > vMatchedTxn;
/**
* Create from a CBlock, filtering transactions according to filter
* Note that this will call IsRelevantAndUpdate on the filter for each transaction,
* thus the filter will likely be modified.
*/
CMerkleBlock(const CBlock& block, CBloomFilter& filter);
// Create from a CBlock, matching the txids in the set
CMerkleBlock(const CBlock& block, const std::set<uint256>& txids);
CMerkleBlock() {}
ADD_SERIALIZE_METHODS;
template <typename Stream, typename Operation>
inline void SerializationOp(Stream& s, Operation ser_action) {
READWRITE(header);
READWRITE(txn);
}
};
#endif // HUSH_MERKLEBLOCK_H