Builds/wownero
1
0
Fork 0
forked from such-gitea/wownero
Code Pull Requests Actions Releases 3 Activity

initial commit

Browse Source
This commit is contained in:
wowario
2018-12-02 17:29:51 +03:00
parent 2222bea92f
commit 952b0492d9
138 changed files with 4676 additions and 5072 deletions
Download Patch File Download Diff File Expand all files Collapse all files

164
src/cryptonote_basic/difficulty.cpp
View File

@@ -33,6 +33,7 @@
#include <cstddef>
#include <cstdint>
#include <vector>
#include <boost/math/special_functions/round.hpp>
#include "int-util.h"
#include "crypto/hash.h"
@@ -200,7 +201,7 @@ namespace cryptonote {
return check_hash_128(hash, difficulty);
}
difficulty_type next_difficulty(std::vector<uint64_t> timestamps, std::vector<difficulty_type> cumulative_difficulties, size_t target_seconds) {
difficulty_type next_difficulty(std::vector<uint64_t> timestamps, network_type m_nettype, std::vector<difficulty_type> cumulative_difficulties, size_t target_seconds, uint64_t HEIGHT) {
//cutoff DIFFICULTY_LAG
if(timestamps.size() > DIFFICULTY_WINDOW)
{
@@ -214,6 +215,7 @@ namespace cryptonote {
if (length <= 1) {
return 1;
}
if (HEIGHT < 200 && HEIGHT > 2 && m_nettype == TESTNET) { return 500; }
static_assert(DIFFICULTY_WINDOW >= 2, "Window is too small");
assert(length <= DIFFICULTY_WINDOW);
sort(timestamps.begin(), timestamps.end());
@@ -254,4 +256,164 @@ namespace cryptonote {
return "0x" + s;
}
// LWMA difficulty algorithm
// Background: https://github.com/zawy12/difficulty-algorithms/issues/3
// Copyright (c) 2017-2018 Zawy
difficulty_type next_difficulty_v2(std::vector<std::uint64_t> timestamps, network_type m_nettype, std::vector<difficulty_type> cumulative_difficulties, size_t target_seconds, uint64_t HEIGHT) {
const int64_t T = static_cast<int64_t>(target_seconds);
size_t N = DIFFICULTY_WINDOW_V2;
if (m_nettype == MAINNET) {
if (timestamps.size() < 4) {
return 1;
} else if ( timestamps.size() < N+1 ) {
N = timestamps.size() - 1;
} else {
timestamps.resize(N+1);
cumulative_difficulties.resize(N+1);
}
}
if (HEIGHT < 200 && m_nettype == TESTNET) { return 500; }
const double adjust = 0.998;
const double k = N * (N + 1) / 2;
double LWMA(0), sum_inverse_D(0), harmonic_mean_D(0), nextDifficulty(0);
int64_t solveTime(0);
uint64_t difficulty(0), next_difficulty(0);
for (size_t i = 1; i <= N; i++) {
solveTime = static_cast<int64_t>(timestamps[i]) - static_cast<int64_t>(timestamps[i - 1]);
solveTime = std::min<int64_t>((T * 7), std::max<int64_t>(solveTime, (-7 * T)));
difficulty = static_cast<uint64_t>(cumulative_difficulties[i] - cumulative_difficulties[i - 1]);
LWMA += (int64_t)(solveTime * i) / k;
sum_inverse_D += 1 / static_cast<double>(difficulty);
}
harmonic_mean_D = N / sum_inverse_D;
if (static_cast<int64_t>(boost::math::round(LWMA)) < T / 20)
LWMA = static_cast<double>(T / 20);
nextDifficulty = harmonic_mean_D * T / LWMA * adjust;
next_difficulty = static_cast<uint64_t>(nextDifficulty);
return next_difficulty;
}
// LWMA-2
difficulty_type next_difficulty_v3(std::vector<uint64_t> timestamps, network_type m_nettype, std::vector<difficulty_type> cumulative_difficulties, uint64_t HEIGHT) {
int64_t T = DIFFICULTY_TARGET_V2;
int64_t N = DIFFICULTY_WINDOW_V2;
int64_t L(0), ST, sum_3_ST(0), next_D, prev_D;
assert(timestamps.size() == cumulative_difficulties.size() && timestamps.size() <= static_cast<uint64_t>(N+1) );
if (HEIGHT < 200 && m_nettype == TESTNET) { return 500; }
for ( int64_t i = 1; i <= N; i++ ) {
ST = static_cast<int64_t>(timestamps[i]) - static_cast<int64_t>(timestamps[i-1]);
ST = std::max(-4*T, std::min(ST, 6*T));
L += ST * i ;
if ( i > N-3 ) {
sum_3_ST += ST;
}
}
next_D = (static_cast<int64_t>(cumulative_difficulties[N] - cumulative_difficulties[0])*T*(N+1)*99)/(100*2*L);
prev_D = static_cast<int64_t>(cumulative_difficulties[N] - cumulative_difficulties[N-1]);
next_D = std::max((prev_D*67)/100, std::min(next_D, (prev_D*150)/100));
if ( sum_3_ST < (8*T)/10) {
next_D = std::max(next_D,(prev_D*108)/100);
}
return static_cast<uint64_t>(next_D);
}
// LWMA-4
difficulty_type next_difficulty_v4(std::vector<uint64_t> timestamps, network_type m_nettype, std::vector<difficulty_type> cumulative_difficulties, uint64_t HEIGHT) {
uint64_t T = DIFFICULTY_TARGET_V2;
uint64_t N = DIFFICULTY_WINDOW_V2;
uint64_t L(0), ST(0), next_D, prev_D, avg_D, i;
assert(timestamps.size() == cumulative_difficulties.size() && timestamps.size() <= N+1 );
if (HEIGHT <= 63469 + 1 && m_nettype == MAINNET) { return 100000069; }
if (HEIGHT < 200 && m_nettype == TESTNET) { return 500; }
std::vector<uint64_t>TS(N+1);
TS[0] = timestamps[0];
for ( i = 1; i <= N; i++) {
if ( timestamps[i] > TS[i-1] ) { TS[i] = timestamps[i]; }
else { TS[i] = TS[i-1]; }
}
for ( i = 1; i <= N; i++) {
if ( i > 4 && TS[i]-TS[i-1] > 5*T && TS[i-1] - TS[i-4] < (14*T)/10 ) { ST = 2*T; }
else if ( i > 7 && TS[i]-TS[i-1] > 5*T && TS[i-1] - TS[i-7] < 4*T ) { ST = 2*T; }
else {
ST = std::min(5*T ,TS[i] - TS[i-1]);
}
L += ST * i ;
}
if (L < N*N*T/20 ) { L = N*N*T/20; }
avg_D = static_cast<uint64_t>(( cumulative_difficulties[N] - cumulative_difficulties[0] )/ N);
if (avg_D > 2000000*N*N*T) {
next_D = (avg_D/(200*L))*(N*(N+1)*T*97);
}
else { next_D = (avg_D*N*(N+1)*T*97)/(200*L); }
prev_D = static_cast<uint64_t>(cumulative_difficulties[N] - cumulative_difficulties[N-1]);
if ( ( TS[N] - TS[N-1] < (2*T)/10 ) ||
( TS[N] - TS[N-2] < (5*T)/10 ) ||
( TS[N] - TS[N-3] < (8*T)/10 ) )
{
next_D = std::max( next_D, std::min( (prev_D*110)/100, (105*avg_D)/100 ) );
}
i = 1000000000;
while (i > 1) {
if ( next_D > i*100 ) { next_D = ((next_D+i/2)/i)*i; break; }
else { i /= 10; }
}
if ( next_D > 100000 ) {
next_D = ((next_D+500)/1000)*1000 + std::min(static_cast<uint64_t>(999), (TS[N]-TS[N-10])/10);
}
return static_cast<uint64_t>(next_D);
}
// LWMA-1 difficulty algorithm
// Copyright (c) 2017-2019 Zawy, MIT License
// https://github.com/zawy12/difficulty-algorithms/issues/3
difficulty_type next_difficulty_v5(std::vector<std::uint64_t> timestamps, network_type m_nettype, std::vector<difficulty_type> cumulative_difficulties, uint64_t T, uint64_t N, uint64_t HEIGHT) {
assert(timestamps.size() == cumulative_difficulties.size() && timestamps.size() <= N+1 );
if (HEIGHT >= 81769 && HEIGHT < 81769 + N && m_nettype == MAINNET) { return 10000000; }
if (HEIGHT < 200 && m_nettype == TESTNET) { return 500; }
assert(timestamps.size() == N+1);
// hardcoding previously erroneously calculated difficulty entries
if(HEIGHT == 307686) return 25800000;
if(HEIGHT == 307692) return 1890000;
if(HEIGHT == 307735) return 17900000;
if(HEIGHT == 307742) return 21300000;
if(HEIGHT == 307750) return 10900000;
if(HEIGHT == 307766) return 2960000;
uint64_t i, this_timestamp(0), previous_timestamp(0);
difficulty_type L(0), next_D, avg_D;
previous_timestamp = timestamps[0]-T;
for ( i = 1; i <= N; i++) {
// Safely prevent out-of-sequence timestamps
if ( timestamps[i] > previous_timestamp ) { this_timestamp = timestamps[i]; }
else { this_timestamp = previous_timestamp+1; }
L += i*std::min(6*T ,this_timestamp - previous_timestamp);
previous_timestamp = this_timestamp;
}
if (L < N*N*T/20 ) { L = N*N*T/20; }
avg_D = ( cumulative_difficulties[N] - cumulative_difficulties[0] )/ N;
// Prevent round off error for small D and overflow for large D.
if (avg_D > 2000000*N*N*T && HEIGHT < 307800) {
next_D = (avg_D/(200*L))*(N*(N+1)*T*99);
}
else if (avg_D > uint64_t(-1)/(N*(N+1)*T*99) && HEIGHT > 307800) {
next_D = (avg_D/(200*L))*(N*(N+1)*T*99);
}
else { next_D = (avg_D*N*(N+1)*T*99)/(200*L); }
// Make all insignificant digits zero for easy reading.
i = 1000000000;
while (i > 1) {
if ( next_D > i*100 ) { next_D = ((next_D+i/2)/i)*i; break; }
else { i /= 10; }
}
return next_D;
}
}