public static int g_batch_id = 0; //实验批次号
protected override void OnViewLoaded()
{
foreach (var sample in Samples)
{
sample.TestItem1 = false;
sample.TestItem2 = false;
sample.TestItem3 = false;
sample.TestItem4 = false;
sample.TestItem5 = false;
sample.TestItem6 = false;
sample.TestItem7 = false;
sample.TestItem8 = false;
sample.TestItem9 = false;
}
op.CanComm.SetListenFun(op.OP.SampleRackCoils[0].Addr, CanFunCodeEnum.UPLOAD_REGISTER, RackChange);
var scaner_info = ResManager.getInstance().GetScaner("0");
if (scaner_info == null)
{
ErrorSystem.WriteActError("扫码器无法识别!", false);
}
if (scaner_info != null)
{
scaner = IoC.Get <AbstractScaner>(scaner_info.ScanerType);
scaner_port = scaner_info.Port;
}
visible = true;
for (int i = 0; i < 24; i++)
{
template_code_list.Add(new ScanSampleIndexData(i, string.Format("{0:D2}", i + 1), "*", string.Format("{0:D2}", i + 2)));
}
if (Samples.Count == 0)
{
for (int i = 0; i < 24; i++)
{
for (int j = 0; j < 6; j++)
{
var sample_code = "";
var resinfo = ResManager.getInstance().SearchGelCard("T_BJ_SampleRack", "", "", i, j);
resinfo.SetCode(sample_code);
resinfo.Values[resinfo.CountX, resinfo.CountY] = resinfo;
resinfo.sampleinfo = new SampleInfo(sample_code, (byte)i, (byte)j);
Samples.Add(resinfo.sampleinfo);
}
}
}
var samples_sort = Samples.ToList();
samples_sort.Sort((a, b) =>
{
return((a.RackIndex * 100 + a.Index) - (b.RackIndex * 100 + b.Index));
});
Samples.Clear();
foreach (var item in samples_sort)
{
Samples.Add(item);
}
base.OnViewLoaded();
}
public static void Dispose()
{
if (mp3Channel != null)
{
mp3Channel.Dispose();
}
DisposeVST();
if (UsedLibrary == AudioLibrary.NAudio)
{
Samples.Clear();
if (playbackDevice != null)
{
playbackDevice.Stop();
playbackDevice.Dispose();
playbackDevice = null;
}
if (Mixer32 != null)
{
Mixer32.Dispose(); Mixer32 = null;
}
}
UsedLibrary = AudioLibrary.Null;
}
public void Reset()
{
Samples.Clear();
LastSample = null;
RaiseSamplesCleared();
}
public void Clear()
{
_lastSampleCount = 0;
Samples.Clear();
_max = float.MinValue;
_min = float.MaxValue;
}
private void SetupCurrentSampleJobs()
{
Samples.Clear();
foreach (var item in _currentGroup.Children)
{
Samples.Add((ClientSample)item.Job);
}
}
public void Reset()
{
_watch = null;
AverageTime = null;
Samples.Clear();
_lastEvaluated = null;
}
private void AddDataFromFile(object s, WaveInEventArgs a)
{
Samples.Clear();
int index = (int)((reader.CurrentTime.TotalMilliseconds - output.DesiredLatency / 2) / reader.TotalTime.TotalMilliseconds * reader.SampleCount);
for (int i = Math.Max(index - Settings.SampleCount / 2, 0); i < Math.Min(reader.SampleCount, index + Settings.SampleCount / 2); i++)
{
Samples.Add(songInfo.Samples[i]);
}
UpdateGraphics?.Invoke(this, EventArgs.Empty);
}
public void AddGroup()
{
string name = "Group" + UiProcessBatch.Count + 1;
ProcessItem newGroup = new ProcessItem()
{
Name = name
};
UiProcessBatch.Add(newGroup);
CurrentGroup = newGroup;
Samples.Clear();
}
public void ReadXml(XmlReader reader)
{
Name = reader.GetAttribute(nameof(Name), Name);
DisplayColor = reader.GetTypedAttribute(nameof(DisplayColor), DisplayColor);
DisplayIndex = reader.GetTypedAttribute(nameof(DisplayIndex), DisplayIndex);
Samples.Clear();
var rawSamples = reader.GetTypedAttribute(nameof(Samples), string.Empty);
foreach (var sample in ColorSampleCollection.Parse(rawSamples))
{
Samples.Add(sample);
}
}
/// <summary>
/// Loads the library from the cache.
/// </summary>
public void LoadFromCache()
{
if (!File.Exists(SampleLibraryFilename))
{
return;
}
var samples = SerializationHelper <List <Sample> > .FromXmlFile(SampleLibraryFilename);
lock (Samples)
{
Samples.Clear();
Samples.AddRange(samples.ToArray());
}
}
private void Scaner_DataReceived(AbstractScaner scaner, T_BJ_SampleRack sampleRack)
{
byte?curIndex = null;
for (byte i = 0; i < 3; i++)
{
if (scanerVals[i] == null)
{
scanerVals[i] = scaner.Read();
curIndex = i;
break;
}
}
if (curIndex == 2)
{
byte i1, i2;
if (scanerVals[1].Length > 2 && scanerVals[0].Length <= 2 && scanerVals[2].Length <= 2 && byte.TryParse(scanerVals[0], out i1) && byte.TryParse(scanerVals[2], out i2))
{
if (Math.Abs(i1 - i2) == 1)
{
var w = (byte)(Math.Min(i1, i2) - 1);
var sample = Samples.Where(sam => sam.RackIndex == sampleRack.Index && sam.Index == w).FirstOrDefault();
if (sample == null)
{
sample = new SampleInfo()
{
RackIndex = sampleRack.Index, Index = w
};
Samples.Add(sample);
}
sample.Barcode = scanerVals[1];
var list = Samples.OrderBy(item => item.RackIndex.ToString() + item.Index.ToString("00")).ToArray();
Samples.Clear();
Samples.AddRange(list);
}
scanerVals[0] = scanerVals[2];
scanerVals[1] = null;
scanerVals[2] = null;
}
else
{
scanerVals[0] = scanerVals[1];
scanerVals[1] = scanerVals[2];
scanerVals[2] = null;
}
}
}
public void LoadSamples(int samplesToGenerate)
{
//TODO: can we load samples faster?
Samples.Clear();
DateTime date = _sampleStartDate;
for (int i = 0; i < samplesToGenerate; i++)
{
Sample s = new Sample(i == 0);
s.LoadSampleAtTime(date);
//_sampleList.Insert(0, s);
//sudhir: Used Add instead of Insert in the list. The complexity for insert is O(n) snice it needs to move all elements and for add it is O(1)
Samples.Add(s);
date += _sampleIncrement;
}
}
public async Task <List <Sample> > LoadSamplesAsync(string sampleOwnerId, string sampleRepositoryId, CancellationToken cancellationToken)
{
Samples.Clear();
if (string.IsNullOrEmpty(_sampleImporterService.Token))
{
throw new Exception("It is necessary to add a GitHub Personal Access Token in the Preferences of Visual Studio.");
}
if (!_networkStatusService.IsConnectedToInternet())
{
throw new Exception("There is no Internet conection.");
}
var samples = await _sampleImporterService.GetSamplesAsync(sampleOwnerId, sampleRepositoryId, cancellationToken);
Samples = samples;
return(samples);
}
public void Init(GameFileCache gameFileCache, Action <string> updateStatus)
{
var rpfman = gameFileCache.RpfMan;
string filename = "common.rpf\\data\\levels\\gta5\\time.xml";
XmlDocument timexml = rpfman.GetFileXml(filename);
XmlElement time = timexml.DocumentElement;
XmlNode suninfo = time.SelectSingleNode("suninfo");
XmlNode mooninfo = time.SelectSingleNode("mooninfo");
XmlNodeList samples = time.SelectNodes("sample");
XmlNodeList regions = time.SelectNodes("region");
sun_roll = Xml.GetFloatAttribute(suninfo, "sun_roll");
sun_yaw = Xml.GetFloatAttribute(suninfo, "sun_yaw");
moon_roll = Xml.GetFloatAttribute(mooninfo, "moon_roll");
moon_wobble_freq = Xml.GetFloatAttribute(mooninfo, "moon_wobble_freq");
moon_wobble_amp = Xml.GetFloatAttribute(mooninfo, "moon_wobble_amp");
moon_wobble_offset = Xml.GetFloatAttribute(mooninfo, "moon_wobble_offset");
Samples.Clear();
for (int i = 0; i < samples.Count; i++)
{
TimecycleSample tcs = new TimecycleSample();
tcs.Init(samples[i]);
Samples.Add(tcs);
}
Regions.Clear();
for (int i = 0; i < regions.Count; i++)
{
Regions.Add(Xml.GetStringAttribute(regions[i], "name"));
}
Inited = true;
}
/// <summary>
/// Загрузка данных из файла в списки Samples и Features.
/// </summary>
/// <param name="filePath">Абсолютный путь к файлу.</param>
public void LoadDataFromFile(string filePath)
{
Features.Clear();
Samples.Clear();
using (var streamReader = new StreamReader(filePath))
{
var line = streamReader.ReadLine();
foreach (var featureName in line.Split(new char[] { ';' }, StringSplitOptions.RemoveEmptyEntries))
{
Features.Add(featureName);
}
while ((line = streamReader.ReadLine()) != null)
{
var sample = new List <double>();
foreach (var feature in line.Split(new char[] { ';' }, StringSplitOptions.RemoveEmptyEntries))
{
sample.Add(double.Parse(feature));
}
Samples.Add(sample);
}
if (Features.Count != Samples.First().Count)
{
Features.Clear();
for (var i = 1; i <= Samples.First().Count; i++)
{
Features.Add(i.ToString());
}
}
}
}
public static void Init( )
{
pofilePool.StopAllProfiles( );
Samples.Clear( );
}
public void ClearSamples()
{
Samples.Clear();
}
public void ClearData()
{
Samples.Clear();
TimeStamps.Clear();
}
public void Clear()
{
Samples.Clear();
LastIndex = -1;
MaxHistory = MAX_HISTORY;
}
private static void DisposeAll()
{
pofilePool.Dispose( );
Samples.Clear( );
}
private void ComputeAverageTime()
{
AverageTime = Samples.Average();
Samples.Clear();
_lastEvaluated = DateTime.Now;
}
/// <summary>
/// Resets the sampler. This is useful when the existing data is found to be biased.
/// </summary>
public void Reset()
{
Samples.Clear();
}
/// <summary>
/// Clears sample list and sets integral value to zero.
/// </summary>
public void Reset()
{
Samples.Clear();
Value = 0;
}
public void Clear()
{
Samples.Clear();
LastIndex = -1;
}
