mirror of
https://github.com/xmrig/xmrig.git
synced 2025-02-02 03:06:30 +00:00
Removed m_bench field from Job class.
This commit is contained in:
parent
36b1523194
commit
7fc7b976bf
19 changed files with 44 additions and 68 deletions
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@ -112,7 +112,7 @@ void xmrig::Workers<T>::start(const std::vector<T> &data)
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{
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# ifdef XMRIG_FEATURE_BENCHMARK
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if (!data.empty()) {
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d_ptr->bench = data.front().miner->job().bench();
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d_ptr->bench = data.front().benchSize;
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d_ptr->benchAlgo = data.front().algorithm;
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}
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# endif
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@ -335,7 +335,7 @@ void xmrig::CpuBackend::setJob(const Job &job)
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const CpuConfig &cpu = d_ptr->controller->config()->cpu();
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std::vector<CpuLaunchData> threads = cpu.get(d_ptr->controller->miner(), job.algorithm());
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std::vector<CpuLaunchData> threads = cpu.get(d_ptr->controller->miner(), job.algorithm(), d_ptr->controller->config()->pools().benchSize());
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if (!d_ptr->threads.empty() && d_ptr->threads.size() == threads.size() && std::equal(d_ptr->threads.begin(), d_ptr->threads.end(), threads.begin())) {
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return;
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}
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@ -113,7 +113,7 @@ size_t xmrig::CpuConfig::memPoolSize() const
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}
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std::vector<xmrig::CpuLaunchData> xmrig::CpuConfig::get(const Miner *miner, const Algorithm &algorithm) const
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std::vector<xmrig::CpuLaunchData> xmrig::CpuConfig::get(const Miner *miner, const Algorithm &algorithm, uint32_t benchSize) const
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{
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std::vector<CpuLaunchData> out;
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const CpuThreads &threads = m_threads.get(algorithm);
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@ -125,7 +125,7 @@ std::vector<xmrig::CpuLaunchData> xmrig::CpuConfig::get(const Miner *miner, cons
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out.reserve(threads.count());
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for (const CpuThread &thread : threads.data()) {
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out.emplace_back(miner, algorithm, *this, thread);
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out.emplace_back(miner, algorithm, *this, thread, benchSize);
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}
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return out;
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@ -72,7 +72,7 @@ public:
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bool isHwAES() const;
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rapidjson::Value toJSON(rapidjson::Document &doc) const;
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size_t memPoolSize() const;
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std::vector<CpuLaunchData> get(const Miner *miner, const Algorithm &algorithm) const;
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std::vector<CpuLaunchData> get(const Miner *miner, const Algorithm &algorithm, uint32_t benchSize) const;
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void read(const rapidjson::Value &value);
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inline bool isEnabled() const { return m_enabled; }
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@ -32,7 +32,7 @@
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#include <algorithm>
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xmrig::CpuLaunchData::CpuLaunchData(const Miner *miner, const Algorithm &algorithm, const CpuConfig &config, const CpuThread &thread) :
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xmrig::CpuLaunchData::CpuLaunchData(const Miner *miner, const Algorithm &algorithm, const CpuConfig &config, const CpuThread &thread, uint32_t benchSize) :
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algorithm(algorithm),
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assembly(config.assembly()),
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astrobwtAVX2(config.astrobwtAVX2()),
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@ -43,6 +43,7 @@ xmrig::CpuLaunchData::CpuLaunchData(const Miner *miner, const Algorithm &algorit
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priority(config.priority()),
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affinity(thread.affinity()),
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miner(miner),
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benchSize(benchSize),
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intensity(std::min<uint32_t>(thread.intensity(), algorithm.maxIntensity()))
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{
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}
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@ -44,7 +44,7 @@ class Miner;
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class CpuLaunchData
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{
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public:
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CpuLaunchData(const Miner *miner, const Algorithm &algorithm, const CpuConfig &config, const CpuThread &thread);
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CpuLaunchData(const Miner *miner, const Algorithm &algorithm, const CpuConfig &config, const CpuThread &thread, uint32_t benchSize);
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bool isEqual(const CpuLaunchData &other) const;
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CnHash::AlgoVariant av() const;
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@ -66,6 +66,7 @@ public:
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const int priority;
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const int64_t affinity;
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const Miner *miner;
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const uint32_t benchSize;
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const uint32_t intensity;
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};
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@ -58,18 +58,10 @@ static constexpr uint32_t kReserveCount = 32768;
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template<size_t N>
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inline bool nextRound(WorkerJob<N> &job)
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inline bool nextRound(WorkerJob<N> &job, uint32_t benchSize)
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{
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const auto ¤tJob = job.currentJob();
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# ifdef XMRIG_FEATURE_BENCHMARK
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const uint32_t rounds = currentJob.bench() ? 1 : kReserveCount;
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# else
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constexpr uint32_t rounds = kReserveCount;
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# endif
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if (!job.nextRound(rounds, 1)) {
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JobResults::done(currentJob);
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if (!job.nextRound(benchSize ? 1 : kReserveCount, 1)) {
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JobResults::done(job.currentJob());
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return false;
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}
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@ -93,6 +85,7 @@ xmrig::CpuWorker<N>::CpuWorker(size_t id, const CpuLaunchData &data) :
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m_av(data.av()),
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m_astrobwtMaxSize(data.astrobwtMaxSize * 1000),
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m_miner(data.miner),
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m_benchSize(data.benchSize),
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m_ctx()
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{
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m_memory = new VirtualMemory(m_algorithm.l3() * N, data.hugePages, false, true, m_node);
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@ -247,7 +240,7 @@ void xmrig::CpuWorker<N>::start()
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randomx_calculate_hash_first(m_vm, tempHash, m_job.blob(), job.size());
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}
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if (!nextRound(m_job)) {
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if (!nextRound(m_job, m_benchSize)) {
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break;
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}
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@ -267,7 +260,7 @@ void xmrig::CpuWorker<N>::start()
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fn(job.algorithm())(m_job.blob(), job.size(), m_hash, m_ctx, job.height());
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}
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if (!nextRound(m_job)) {
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if (!nextRound(m_job, m_benchSize)) {
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break;
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};
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}
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@ -277,8 +270,8 @@ void xmrig::CpuWorker<N>::start()
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const uint64_t value = *reinterpret_cast<uint64_t*>(m_hash + (i * 32) + 24);
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# ifdef XMRIG_FEATURE_BENCHMARK
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if (job.bench()) {
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if (current_job_nonces[i] < job.bench()) {
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if (m_benchSize) {
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if (current_job_nonces[i] < m_benchSize) {
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m_benchData ^= value;
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}
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else {
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@ -385,15 +378,7 @@ void xmrig::CpuWorker<N>::consumeJob()
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return;
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}
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auto job = m_miner->job();
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# ifdef XMRIG_FEATURE_BENCHMARK
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const uint32_t rounds = job.bench() ? 1 : kReserveCount;
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# else
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constexpr uint32_t rounds = kReserveCount;
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# endif
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m_job.add(job, rounds, Nonce::CPU);
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m_job.add(m_miner->job(), m_benchSize ? 1 : kReserveCount, Nonce::CPU);
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# ifdef XMRIG_ALGO_RANDOMX
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if (m_job.currentJob().algorithm().family() == Algorithm::RANDOM_X) {
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@ -73,6 +73,7 @@ private:
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void allocateCnCtx();
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void consumeJob();
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alignas(16) uint8_t m_hash[N * 32]{ 0 };
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const Algorithm m_algorithm;
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const Assembly m_assembly;
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const bool m_astrobwtAVX2;
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@ -81,8 +82,8 @@ private:
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const CnHash::AlgoVariant m_av;
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const int m_astrobwtMaxSize;
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const Miner *m_miner;
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const uint32_t m_benchSize;
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cryptonight_ctx *m_ctx[N];
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alignas(16) uint8_t m_hash[N * 32]{ 0 };
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VirtualMemory *m_memory = nullptr;
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WorkerJob<N> m_job;
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@ -30,9 +30,9 @@
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xmrig::CudaLaunchData::CudaLaunchData(const Miner *miner, const Algorithm &algorithm, const CudaThread &thread, const CudaDevice &device) :
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algorithm(algorithm),
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miner(miner),
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device(device),
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thread(thread)
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thread(thread),
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miner(miner)
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{
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}
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@ -54,9 +54,10 @@ public:
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static const char *tag();
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const Algorithm algorithm;
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const Miner *miner;
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const CudaDevice &device;
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const CudaThread thread;
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const Miner *miner;
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const uint32_t benchSize = 0;
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};
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@ -67,6 +67,7 @@ public:
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const OclDevice device;
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const OclPlatform platform;
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const OclThread thread;
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const uint32_t benchSize = 0;
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};
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@ -174,10 +174,6 @@ void xmrig::Job::copy(const Job &other)
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memcpy(m_rawBlob, other.m_rawBlob, sizeof(m_rawBlob));
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memcpy(m_rawTarget, other.m_rawTarget, sizeof(m_rawTarget));
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# endif
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# ifdef XMRIG_FEATURE_BENCHMARK
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m_bench = other.m_bench;
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# endif
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}
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@ -209,8 +205,4 @@ void xmrig::Job::move(Job &&other)
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memcpy(m_rawBlob, other.m_rawBlob, sizeof(m_rawBlob));
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memcpy(m_rawTarget, other.m_rawTarget, sizeof(m_rawTarget));
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# endif
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# ifdef XMRIG_FEATURE_BENCHMARK
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m_bench = other.m_bench;
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# endif
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}
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@ -111,11 +111,6 @@ public:
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inline Job &operator=(const Job &other) { copy(other); return *this; }
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inline Job &operator=(Job &&other) noexcept { move(std::move(other)); return *this; }
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# ifdef XMRIG_FEATURE_BENCHMARK
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inline uint32_t bench() const { return m_bench; }
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inline void setBench(uint32_t bench) { m_bench = bench; }
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# endif
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private:
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void copy(const Job &other);
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void move(Job &&other);
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@ -140,10 +135,6 @@ private:
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char m_rawTarget[24]{};
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String m_rawSeedHash;
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# endif
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# ifdef XMRIG_FEATURE_BENCHMARK
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uint32_t m_bench = 0;
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# endif
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};
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@ -59,5 +59,4 @@ void xmrig::NullClient::setPool(const Pool& pool)
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}
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m_job.setAlgorithm(m_pool.algorithm().id());
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m_job.setBench(m_pool.benchSize());
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}
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@ -113,7 +113,7 @@ public:
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inline void setUser(const String &user) { m_user = user; }
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# ifdef XMRIG_FEATURE_BENCHMARK
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inline uint64_t benchSize() const { return m_benchSize; }
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inline uint32_t benchSize() const { return m_benchSize; }
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# endif
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inline bool operator!=(const Pool &other) const { return !isEqual(other); }
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@ -65,18 +65,6 @@ bool xmrig::Pools::isEqual(const Pools &other) const
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}
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int xmrig::Pools::donateLevel() const
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{
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# ifdef XMRIG_FEATURE_BENCHMARK
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if (m_data.size() == 1 && m_data.front().mode() == Pool::MODE_BENCHMARK) {
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return 0;
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}
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# endif
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return m_donateLevel;
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}
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xmrig::IStrategy *xmrig::Pools::createStrategy(IStrategyListener *listener) const
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{
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if (active() == 1) {
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@ -153,6 +141,18 @@ void xmrig::Pools::load(const IJsonReader &reader)
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}
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uint32_t xmrig::Pools::benchSize() const
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{
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# ifdef XMRIG_FEATURE_BENCHMARK
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if (m_data.size() == 1 && m_data.front().mode() == Pool::MODE_BENCHMARK) {
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return m_data.front().benchSize();
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}
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# endif
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return 0;
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}
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void xmrig::Pools::print() const
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{
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size_t i = 1;
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@ -58,6 +58,7 @@ public:
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Pools();
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inline const std::vector<Pool> &data() const { return m_data; }
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inline int donateLevel() const { return benchSize() ? 0 : m_donateLevel; }
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inline int retries() const { return m_retries; }
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inline int retryPause() const { return m_retryPause; }
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inline ProxyDonate proxyDonate() const { return m_proxyDonate; }
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inline bool operator==(const Pools &other) const { return isEqual(other); }
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bool isEqual(const Pools &other) const;
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int donateLevel() const;
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IStrategy *createStrategy(IStrategyListener *listener) const;
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rapidjson::Value toJSON(rapidjson::Document &doc) const;
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size_t active() const;
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uint32_t benchSize() const;
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void load(const IJsonReader &reader);
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void print() const;
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@ -128,6 +128,8 @@ void xmrig::Network::onActive(IStrategy *strategy, IClient *client)
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# ifdef XMRIG_FEATURE_BENCHMARK
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if (pool.mode() == Pool::MODE_BENCHMARK) {
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m_benchSize = pool.benchSize();
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LOG_NOTICE("%s " MAGENTA_BOLD("start benchmark ") "hashes " CYAN_BOLD("%" PRIu64 "M") " algo " WHITE_BOLD("%s") " print_time " CYAN_BOLD("%us"),
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Tags::bench(),
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pool.benchSize() / 1000000,
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@ -270,7 +272,7 @@ void xmrig::Network::setJob(IClient *client, const Job &job, bool donate)
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const char *scale = NetworkState::scaleDiff(diff);
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# ifdef XMRIG_FEATURE_BENCHMARK
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if (!job.bench())
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if (!m_benchSize)
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# endif
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{
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if (job.height()) {
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@ -92,6 +92,7 @@ private:
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IStrategy *m_strategy = nullptr;
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NetworkState *m_state = nullptr;
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Timer *m_timer = nullptr;
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uint32_t m_benchSize = 0;
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};
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