public Form1()
{
InitializeComponent();
tabPageManual.Controls.Add(_dataGridViewManual);
RandomWorkspace = new RandomWorkspace();
Experiments = new BindingList <Experiment>();
Tasks = new BindingList <Task>();
LastTaskIndex = 0;
propertyGrid1.SelectedObject = RandomWorkspace;
dataGridViewTask.RowTemplate = new DataGridViewRow();
dataGridViewTask.DataSource = Tasks;
dataGridViewExperiment.RowTemplate = new DataGridViewRow();
dataGridViewExperiment.DataSource = Experiments;
GammaAlgorithm = new GammaAlgorithm
{
WorkerBegin = GammaAlgorithmStartTimer,
WorkerComplite = GammaAlgorithmStopTimer,
WorkerLog = WorkerLog
};
MacLaneAlgorithm = new MacLaneAlgorithm
{
WorkerBegin = MacLaneAlgorithmStartTimer,
WorkerComplite = MacLaneAlgorithmStopTimer,
WorkerLog = WorkerLog
};
Settings.EnableCudafy = SettingsDialog.EnableCudafy;
}
private void backgroundWorkerRun_DoWork(object sender, DoWorkEventArgs e)
{
var This = e.Argument as Form1;
while (This.LastTaskIndex < This.Tasks.Count)
{
Task task = This.Tasks[This.LastTaskIndex++];
WorkerLog("Эксперимент №" + This.LastTaskIndex);
GammaAlgorithmTotalExecutionTime = new TimeSpan(0);
MacLaneAlgorithmTotalExecutionTime = new TimeSpan(0);
var graph = new Graph(task.Graph);
var experiment = new Experiment
{
Graph = graph.ToString(),
NumberOfVertixes = graph.Vertices.Count,
NumberOfSegments = graph.Count
};
experiment.StartDateTime = DateTime.Now;
experiment.IsPlanarByMacLaneAlgorithm = MacLaneAlgorithm.IsPlanar(graph);
experiment.IsPlanarByGammaAlgorithm = GammaAlgorithm.IsPlanar(graph);
experiment.EndDateTime = DateTime.Now;
experiment.ResultsAreEqual = (experiment.IsPlanarByGammaAlgorithm ==
experiment.IsPlanarByMacLaneAlgorithm);
experiment.GammaAlgorithmExecutionTime = GammaAlgorithmTotalExecutionTime;
experiment.MacLaneAlgorithmExecutionTime = MacLaneAlgorithmTotalExecutionTime;
This.AddExperiment(experiment);
}
}
private void EnsureProcessed()
{
if (this.processed)
{
return;
}
ProcessResult(NativeMethods.libraw_unpack(this.dataPtr));
this.ChangeData(data => {
[email protected]_camera_wb = 1;
return(data);
});
ProcessResult(NativeMethods.libraw_dcraw_process(this.dataPtr));
ChangeData(data => {
GammaAlgorithm.Histogram(data);
return(data);
});
this.processed = true;
}
Gamma(double a)
{
return(GammaAlgorithm.Gamma(a));
}