]> Git Repo - VerusCoin.git/blame - src/bloom.cpp
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[VerusCoin.git] / src / bloom.cpp
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1// Copyright (c) 2012 The Bitcoin developers
2// Distributed under the MIT/X11 software license, see the accompanying
3// file COPYING or http://www.opensource.org/licenses/mit-license.php.
4#include <math.h>
5#include <stdlib.h>
6
7#include "bloom.h"
8#include "main.h"
9#include "script.h"
10
11#define LN2SQUARED 0.4804530139182014246671025263266649717305529515945455
12#define LN2 0.6931471805599453094172321214581765680755001343602552
13
14using namespace std;
15
16static const unsigned char bit_mask[8] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80};
17
e1a4f377 18CBloomFilter::CBloomFilter(unsigned int nElements, double nFPRate, unsigned int nTweakIn, unsigned char nFlagsIn) :
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19// The ideal size for a bloom filter with a given number of elements and false positive rate is:
20// - nElements * log(fp rate) / ln(2)^2
21// We ignore filter parameters which will create a bloom filter larger than the protocol limits
22vData(min((unsigned int)(-1 / LN2SQUARED * nElements * log(nFPRate)), MAX_BLOOM_FILTER_SIZE * 8) / 8),
23// The ideal number of hash functions is filter size * ln(2) / number of elements
24// Again, we ignore filter parameters which will create a bloom filter with more hash functions than the protocol limits
25// See http://en.wikipedia.org/wiki/Bloom_filter for an explanation of these formulas
b1f99bed 26nHashFuncs(min((unsigned int)(vData.size() * 8 / nElements * LN2), MAX_HASH_FUNCS)),
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27nTweak(nTweakIn),
28nFlags(nFlagsIn)
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29{
30}
31
32inline unsigned int CBloomFilter::Hash(unsigned int nHashNum, const std::vector<unsigned char>& vDataToHash) const
33{
34 // 0xFBA4C795 chosen as it guarantees a reasonable bit difference between nHashNum values.
b1f99bed 35 return MurmurHash3(nHashNum * 0xFBA4C795 + nTweak, vDataToHash) % (vData.size() * 8);
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36}
37
38void CBloomFilter::insert(const vector<unsigned char>& vKey)
39{
40 for (unsigned int i = 0; i < nHashFuncs; i++)
41 {
42 unsigned int nIndex = Hash(i, vKey);
43 // Sets bit nIndex of vData
44 vData[nIndex >> 3] |= bit_mask[7 & nIndex];
45 }
46}
47
48void CBloomFilter::insert(const COutPoint& outpoint)
49{
50 CDataStream stream(SER_NETWORK, PROTOCOL_VERSION);
51 stream << outpoint;
52 vector<unsigned char> data(stream.begin(), stream.end());
53 insert(data);
54}
55
56void CBloomFilter::insert(const uint256& hash)
57{
58 vector<unsigned char> data(hash.begin(), hash.end());
59 insert(data);
60}
61
62bool CBloomFilter::contains(const vector<unsigned char>& vKey) const
63{
64 for (unsigned int i = 0; i < nHashFuncs; i++)
65 {
66 unsigned int nIndex = Hash(i, vKey);
67 // Checks bit nIndex of vData
68 if (!(vData[nIndex >> 3] & bit_mask[7 & nIndex]))
69 return false;
70 }
71 return true;
72}
73
74bool CBloomFilter::contains(const COutPoint& outpoint) const
75{
76 CDataStream stream(SER_NETWORK, PROTOCOL_VERSION);
77 stream << outpoint;
78 vector<unsigned char> data(stream.begin(), stream.end());
79 return contains(data);
80}
81
82bool CBloomFilter::contains(const uint256& hash) const
83{
84 vector<unsigned char> data(hash.begin(), hash.end());
85 return contains(data);
86}
87
88bool CBloomFilter::IsWithinSizeConstraints() const
89{
90 return vData.size() <= MAX_BLOOM_FILTER_SIZE && nHashFuncs <= MAX_HASH_FUNCS;
91}
92
d3b26f70 93bool CBloomFilter::IsRelevantAndUpdate(const CTransaction& tx, const uint256& hash)
bd21612c 94{
d3b26f70 95 bool fFound = false;
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96 // Match if the filter contains the hash of tx
97 // for finding tx when they appear in a block
269d9c64 98 if (contains(hash))
d3b26f70 99 fFound = true;
bd21612c 100
d3b26f70 101 for (unsigned int i = 0; i < tx.vout.size(); i++)
bd21612c 102 {
d3b26f70 103 const CTxOut& txout = tx.vout[i];
bd21612c 104 // Match if the filter contains any arbitrary script data element in any scriptPubKey in tx
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105 // If this matches, also add the specific output that was matched.
106 // This means clients don't have to update the filter themselves when a new relevant tx
107 // is discovered in order to find spending transactions, which avoids round-tripping and race conditions.
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108 CScript::const_iterator pc = txout.scriptPubKey.begin();
109 vector<unsigned char> data;
110 while (pc < txout.scriptPubKey.end())
111 {
112 opcodetype opcode;
113 if (!txout.scriptPubKey.GetOp(pc, opcode, data))
114 break;
115 if (data.size() != 0 && contains(data))
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116 {
117 fFound = true;
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118 if ((nFlags & BLOOM_UPDATE_MASK) == BLOOM_UPDATE_ALL)
119 insert(COutPoint(hash, i));
120 else if ((nFlags & BLOOM_UPDATE_MASK) == BLOOM_UPDATE_P2PUBKEY_ONLY)
121 {
122 txnouttype type;
123 vector<vector<unsigned char> > vSolutions;
124 if (Solver(txout.scriptPubKey, type, vSolutions) &&
125 (type == TX_PUBKEY || type == TX_MULTISIG))
126 insert(COutPoint(hash, i));
127 }
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128 break;
129 }
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130 }
131 }
132
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133 if (fFound)
134 return true;
135
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136 BOOST_FOREACH(const CTxIn& txin, tx.vin)
137 {
138 // Match if the filter contains an outpoint tx spends
139 if (contains(txin.prevout))
140 return true;
141
142 // Match if the filter contains any arbitrary script data element in any scriptSig in tx
143 CScript::const_iterator pc = txin.scriptSig.begin();
144 vector<unsigned char> data;
145 while (pc < txin.scriptSig.end())
146 {
147 opcodetype opcode;
148 if (!txin.scriptSig.GetOp(pc, opcode, data))
149 break;
150 if (data.size() != 0 && contains(data))
151 return true;
152 }
153 }
154
155 return false;
156}
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