//don't want to parallelize this since each iteration is already parallelized.
private StlClassifier[] BuildClassifiers(Tag[] tags, int cores)
{
StlClassifier[] output = new StlClassifier[tags.Length];
for (int i = 0; i < tags.Length; i++)
{
//StlClassifier current_classifier = new StlClassifier()
}
return(null);
}
//No parallelization, RunClassify is parallelized.
private StlClassifier[] BuildClassifiers(Tag[] tags, int cores, int searchresolution)
{
StlClassifier[] output = new StlClassifier[tags.Length];
for (int i = 0; i < tags.Length; i++)
{
StlClassifier current_classifier = new StlClassifier(tags[i].RegionFilename, searchresolution);
//oof this is a lot
current_classifier.RunClassify(cores);
output[i] = current_classifier;
}
return(output);
}
public static void Main(string[] args)
{
int samplecount = 20;
List <string> failmessages = new List <string>();
bool[] successes = new bool[samplecount];
for (int y = 0; y < samplecount; y++)
{
successes[y] = true;
}
for (int i = 0; i < samplecount; i++)
{
Console.WriteLine("Trial " + i.ToString() + "\n");
try
{
StopWatch t1 = new StopWatch("load");
StopWatch t2 = new StopWatch("compute");
t1.tic();
StlClassifier classifier = new StlClassifier("./test.stl", 40);
t1.toc();
Console.WriteLine(t1.Result());
t2.tic();
classifier.RunClassify(get_cores());
t2.toc();
Console.WriteLine(t2.Result());
StlClassificationTable table = classifier.FacetLookupTable;
Console.WriteLine("Success");
}
catch (Exception e)
{
successes[i] = false;
failmessages.Add("Trial 1: " + e.Message);
}
}
Console.WriteLine(get_true_false(successes));
if (failmessages.Count > 0)
{
File.WriteAllLines("./errors.log", failmessages.ToArray());
}
else
{
File.WriteAllLines("./errors.log", new string[] { "No failures." });
}
}
