private static void PickTotalSpeed(INTMinerRoot root, string input, IKernelOutput kernelOutput, bool isDual)
{
string totalSpeedPattern = kernelOutput.TotalSpeedPattern;
if (isDual)
{
totalSpeedPattern = kernelOutput.DualTotalSpeedPattern;
}
if (string.IsNullOrEmpty(totalSpeedPattern))
{
return;
}
Regex regex = VirtualRoot.GetRegex(totalSpeedPattern);
Match match = regex.Match(input);
if (match.Success)
{
string totalSpeedText = match.Groups[NTKeyword.TotalSpeedGroupName].Value;
string totalSpeedUnit = match.Groups[NTKeyword.TotalSpeedUnitGroupName].Value;
if (string.IsNullOrEmpty(totalSpeedUnit))
{
if (isDual)
{
totalSpeedUnit = kernelOutput.DualSpeedUnit;
}
else
{
totalSpeedUnit = kernelOutput.SpeedUnit;
}
}
double totalSpeed;
if (double.TryParse(totalSpeedText, out totalSpeed))
{
double totalSpeedL = totalSpeed.FromUnitSpeed(totalSpeedUnit);
var now = DateTime.Now;
IGpusSpeed gpuSpeeds = NTMinerRoot.Instance.GpusSpeed;
gpuSpeeds.SetCurrentSpeed(NTMinerRoot.GpuAllId, totalSpeedL, isDual, now);
string gpuSpeedPattern = kernelOutput.GpuSpeedPattern;
if (isDual)
{
gpuSpeedPattern = kernelOutput.DualGpuSpeedPattern;
}
if (string.IsNullOrEmpty(gpuSpeedPattern) && root.GpuSet.Count != 0)
{
// 平分总算力
double gpuSpeedL = totalSpeedL / root.GpuSet.Count;
foreach (var item in gpuSpeeds)
{
if (item.Gpu.Index != NTMinerRoot.GpuAllId)
{
gpuSpeeds.SetCurrentSpeed(item.Gpu.Index, gpuSpeedL, isDual, now);
}
}
}
}
}
}
private static void PickGpuSpeed(string input, IKernelOutput kernelOutput, ICoin coin, bool isDual)
{
string gpuSpeedPattern = kernelOutput.GpuSpeedPattern;
if (isDual)
{
gpuSpeedPattern = kernelOutput.DualGpuSpeedPattern;
}
if (string.IsNullOrEmpty(gpuSpeedPattern))
{
return;
}
var now = DateTime.Now;
bool hasGpuId = gpuSpeedPattern.Contains("?<gpu>");
Regex regex = new Regex(gpuSpeedPattern);
MatchCollection matches = regex.Matches(input);
if (matches.Count > 0)
{
IGpusSpeed gpuSpeeds = NTMinerRoot.Instance.GpusSpeed;
for (int i = 0; i < matches.Count; i++)
{
Match match = matches[i];
string gpuSpeedText = match.Groups["gpuSpeed"].Value;
string gpuSpeedUnit = match.Groups["gpuSpeedUnit"].Value;
int gpu = i;
if (hasGpuId)
{
string gpuText = match.Groups["gpu"].Value;
if (!int.TryParse(gpuText, out gpu))
{
gpu = i;
}
}
double gpuSpeed;
if (double.TryParse(gpuSpeedText, out gpuSpeed))
{
double gpuSpeedL = gpuSpeed.FromUnitSpeed(gpuSpeedUnit);
gpuSpeeds.SetCurrentSpeed(gpu, gpuSpeedL, isDual, now);
}
}
string totalSpeedPattern = kernelOutput.DualTotalSpeedPattern;
if (isDual)
{
totalSpeedPattern = kernelOutput.DualTotalSpeedPattern;
}
if (string.IsNullOrEmpty(totalSpeedPattern))
{
// 求和分算力
double speed = isDual? gpuSpeeds.Where(a => a.Gpu.Index != NTMinerRoot.GpuAllId).Sum(a => a.DualCoinSpeed.Value)
: gpuSpeeds.Where(a => a.Gpu.Index != NTMinerRoot.GpuAllId).Sum(a => a.MainCoinSpeed.Value);
gpuSpeeds.SetCurrentSpeed(NTMinerRoot.GpuAllId, speed, isDual, now);
}
}
}
private static void PickTotalSpeed(INTMinerContext context, string line, IKernelOutput kernelOutput, bool isDual)
{
string totalSpeedPattern = kernelOutput.TotalSpeedPattern;
if (isDual)
{
totalSpeedPattern = kernelOutput.DualTotalSpeedPattern;
}
if (string.IsNullOrEmpty(totalSpeedPattern))
{
return;
}
Regex regex = VirtualRoot.GetRegex(totalSpeedPattern);
Match match = regex.Match(line);
if (match.Success)
{
string totalSpeedText = match.Groups[NTKeyword.TotalSpeedGroupName].Value;
string totalSpeedUnit = match.Groups[NTKeyword.TotalSpeedUnitGroupName].Value;
if (string.IsNullOrEmpty(totalSpeedUnit))
{
if (isDual)
{
totalSpeedUnit = kernelOutput.DualSpeedUnit;
}
else
{
totalSpeedUnit = kernelOutput.SpeedUnit;
}
}
if (double.TryParse(totalSpeedText, out double totalSpeed))
{
totalSpeed = totalSpeed.FromUnitSpeed(totalSpeedUnit);
var now = DateTime.Now;
IGpusSpeed gpuSpeeds = NTMinerContext.Instance.GpusSpeed;
gpuSpeeds.SetCurrentSpeed(NTMinerContext.GpuAllId, totalSpeed, isDual, now);
string gpuSpeedPattern = kernelOutput.GpuSpeedPattern;
if (isDual)
{
gpuSpeedPattern = kernelOutput.DualGpuSpeedPattern;
}
// 如果没有单卡算力正则则平分总算力作为单卡算力正则
if ((string.IsNullOrEmpty(gpuSpeedPattern) || context.GpuSet.Count == 1) && context.GpuSet.Count != 0)
{
double gpuSpeed = totalSpeed / context.GpuSet.Count;
foreach (var item in gpuSpeeds.AsEnumerable())
{
if (item.Gpu.Index != NTMinerContext.GpuAllId)
{
gpuSpeeds.SetCurrentSpeed(item.Gpu.Index, gpuSpeed, isDual, now);
}
}
}
}
}
}
private static void PickTotalSpeed(INTMinerRoot root, string input, IKernelOutput kernelOutput, ICoin coin, bool isDual)
{
string totalSpeedPattern = kernelOutput.TotalSpeedPattern;
if (isDual)
{
totalSpeedPattern = kernelOutput.DualTotalSpeedPattern;
}
if (string.IsNullOrEmpty(totalSpeedPattern))
{
return;
}
Match match = Regex.Match(input, totalSpeedPattern, RegexOptions.Compiled);
if (match.Success)
{
string totalSpeedText = match.Groups["totalSpeed"].Value;
string totalSpeedUnit = match.Groups["totalSpeedUnit"].Value;
double totalSpeed;
if (double.TryParse(totalSpeedText, out totalSpeed))
{
double totalSpeedL = totalSpeed.FromUnitSpeed(totalSpeedUnit);
var now = DateTime.Now;
IGpusSpeed gpuSpeeds = NTMinerRoot.Instance.GpusSpeed;
gpuSpeeds.SetCurrentSpeed(NTMinerRoot.GpuAllId, totalSpeedL, isDual, now);
string gpuSpeedPattern = kernelOutput.GpuSpeedPattern;
if (isDual)
{
gpuSpeedPattern = kernelOutput.DualGpuSpeedPattern;
}
if (string.IsNullOrEmpty(gpuSpeedPattern))
{
// 平分总算力
double gpuSpeedL = totalSpeedL / root.GpuSet.Count;
foreach (var item in gpuSpeeds)
{
if (item.Gpu.Index != NTMinerRoot.GpuAllId)
{
gpuSpeeds.SetCurrentSpeed(item.Gpu.Index, gpuSpeedL, isDual, now);
}
}
}
}
}
}
private static void PickGpuSpeed(INTMinerContext root, IMineContext mineContext, string input, IKernelOutput kernelOutput, bool isDual)
{
string gpuSpeedPattern = kernelOutput.GpuSpeedPattern;
if (isDual)
{
gpuSpeedPattern = kernelOutput.DualGpuSpeedPattern;
}
if (string.IsNullOrEmpty(gpuSpeedPattern))
{
return;
}
var now = DateTime.Now;
bool hasGpuId = gpuSpeedPattern.Contains($"?<{NTKeyword.GpuIndexGroupName}>");
Regex regex = VirtualRoot.GetRegex(gpuSpeedPattern);
MatchCollection matches = regex.Matches(input);
if (matches.Count > 0)
{
IGpusSpeed gpuSpeeds = NTMinerContext.Instance.GpusSpeed;
for (int i = 0; i < matches.Count; i++)
{
Match match = matches[i];
string gpuSpeedText = match.Groups[NTKeyword.GpuSpeedGroupName].Value;
string gpuSpeedUnit = match.Groups[NTKeyword.GpuSpeedUnitGroupName].Value;
if (string.IsNullOrEmpty(gpuSpeedUnit))
{
if (isDual)
{
gpuSpeedUnit = kernelOutput.DualSpeedUnit;
}
else
{
gpuSpeedUnit = kernelOutput.SpeedUnit;
}
}
int gpu = i;
if (hasGpuId)
{
string gpuText = match.Groups[NTKeyword.GpuIndexGroupName].Value;
if (!int.TryParse(gpuText, out gpu))
{
gpu = i;
}
else
{
gpu -= kernelOutput.GpuBaseIndex;
if (gpu < 0)
{
continue;
}
}
}
if (kernelOutput.IsMapGpuIndex && !string.IsNullOrWhiteSpace(mineContext.KernelInput.DevicesArg))
{
if (mineContext.UseDevices.Length != 0 && mineContext.UseDevices.Length != root.GpuSet.Count && gpu < mineContext.UseDevices.Length)
{
gpu = mineContext.UseDevices[gpu];
}
}
if (double.TryParse(gpuSpeedText, out double gpuSpeed))
{
double gpuSpeedL = gpuSpeed.FromUnitSpeed(gpuSpeedUnit);
gpuSpeeds.SetCurrentSpeed(gpu, gpuSpeedL, isDual, now);
}
}
string totalSpeedPattern = kernelOutput.TotalSpeedPattern;
if (isDual)
{
totalSpeedPattern = kernelOutput.DualTotalSpeedPattern;
}
if (string.IsNullOrEmpty(totalSpeedPattern))
{
// 求和分算力
double speed = isDual? gpuSpeeds.AsEnumerable().Where(a => a.Gpu.Index != NTMinerContext.GpuAllId).Sum(a => a.DualCoinSpeed.Value)
: gpuSpeeds.AsEnumerable().Where(a => a.Gpu.Index != NTMinerContext.GpuAllId).Sum(a => a.MainCoinSpeed.Value);
gpuSpeeds.SetCurrentSpeed(NTMinerContext.GpuAllId, speed, isDual, now);
}
}
}
