private void btnLoad_Click(object sender, EventArgs e)
{
var originalFile = string.Empty;
try
{
originalFile = GetOriginFile();
}
catch (Exception ex)
{
MessageBox.Show(this, ex.Message, "Error");
return;
}
HashSet <string> experimentals = new IdentifiedResultExperimentalReader().ReadFromFile(originalFile);
List <string> sortedExperimentals = new List <string>(experimentals);
sortedExperimentals.Sort();
if (sortedExperimentals.Count > 0)
{
pnlClassification.InitializeClassificationSet(sortedExperimentals);
}
}
private void btnLoad_Click(object sender, EventArgs e)
{
try
{
HashSet <string> experimentals = new IdentifiedResultExperimentalReader().ReadFromFile(dataFile.FullName);
List <string> sortedExperimentals = new List <string>(experimentals);
sortedExperimentals.Sort();
if (sortedExperimentals.Count > 0)
{
pnlClassification.InitializeClassificationSet(sortedExperimentals);
}
}
catch (Exception ex)
{
MessageBox.Show(this, ex.Message, "Error");
}
}
private void btnLoad_Click(object sender, EventArgs e)
{
try
{
this.originalFile.ValidateComponent();
}
catch (Exception ex)
{
MessageBox.Show(this, ex.Message, "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
List <string> sortedExperimentals = new IdentifiedResultExperimentalReader().ReadFromFile(GetOriginFile()).ToList();
sortedExperimentals.Sort();
if (sortedExperimentals.Count > 0)
{
datasetClassification.InitializeClassificationSet(sortedExperimentals, @"(.+)_\d+$");
rawPairClassification.InitializeClassificationSet(sortedExperimentals, @".+_(\d+)$");
}
}
