private void LoadInformationForUsingDesTrees()//переделать
{
desTreeInfo.Clear();
learningInfo.Clear();
tvTaskSelections.Nodes.Clear();
dgwTrees.Rows.Clear();
dgwLA.Rows.Clear();
List <Tuple <int, string, int> > ls = dbHandler.SelectAllTasks();
foreach (Tuple <int, string, int> item in ls)
{
List <string> bf = dbHandler.SelectAllNeuroNetsByTask(item.Item2);// переделать
List <string> selections = dbHandler.SelectSelectionsNames(item.Item2);
List <string[]> itemContainer = new List <string[]>();
foreach (string name in bf)
{
learningInfo.AddData(name, new DataContainer <List <string> >());
foreach (string sel in selections)
{
learningInfo.FindData(name).AddData(sel, dbHandler.SelectLearningStatistics(name, sel));
}
string[] str = new string[4];
string[] wideStr = dbHandler.SelectNeuroNetDefinitionByName(name);
str[0] = wideStr[0];
str[1] = wideStr[1];
str[2] = wideStr[3];
str[3] = wideStr[4];
itemContainer.Add(str);
}
desTreeInfo.AddData(item.Item2, itemContainer);
}
for (int i = 0; i < ls.Count; i++)
{
tvTaskSelections.Nodes.Add(ls[i].Item2);
tvTaskSelections.Nodes[i].NodeFont = new Font(new FontFamily("Book Antiqua"), 12);
List <Tuple <string, int> > it = dbHandler.SelectAllSelections(ls[i].Item1);
for (int j = 0; j < it.Count; j++)
{
tvTaskSelections.Nodes[i].Nodes.Add(it[j].Item1);
tvTaskSelections.Nodes[i].Nodes[j].NodeFont = new Font(new FontFamily("Book Antiqua"), 11, FontStyle.Italic);
}
}
lbTaskSelected.Text = "Не выбрана";
lbSelSelected.Text = "Не выбрана";
lbTreeSelected.Text = "Не выбрано";
lbLASelected.Text = "Не выбран";
isDesTreeSelected = false;
isSelectionSelected = false;
btnLearn.Enabled = false;
btnUse.Enabled = false;
}
private void Start()
{
container.Initialize(dataContainer);
dataContainer.AddData(new TestData(new Vector3(dataContainer.DataItems.Count, 0, 0)));
}
