protected override void addRow(object robj, NIR.Spectrum s, int rowNum, int numofId)
{
var r = (FittingResult)robj;
var node = new nodeRow(r);
this.treeGridView1.Nodes.Add(node);
node.Cells[0].Value = r.SpecOriginal.Name;
node.Cells[1].Value = "";
node.Cells[2].Value = r.TQ.ToString("F4");
node.Cells[3].Value = r.SQ.ToString("F4");
node.Cells[4].Value = r.Result;
var cidx = 5;
foreach (var c in r.SpecOriginal.Components)
{
node.Cells[cidx].Value = double.IsNaN(c.ActualValue) ? "" : c.ActualValue.ToString(string.Format("F{0}", c.Eps));
cidx++;
}
node.HeaderCell.Value = rowNum.ToString();
foreach (var d in r.Specs)
{
var ds = new List <object>();
ds.Add(d.Spec.Name);
ds.Add(d.Rate.ToString("F4"));
ds.Add("");
ds.Add("");
ds.Add("");
foreach (var c in d.Spec.Components)
{
ds.Add(c.ActualValue.ToString(string.Format("F{0}", c.Eps)));
}
node.Nodes.Add(ds.ToArray());
}
}
protected override void addRow(object robj, NIR.Spectrum s, int rowNum, int numofId)
{
var r = (IdentifyResult)robj;
int num = 5;
var rtmp = IdentifyModel.GetPredictValue(r, num, numofId);
var objs = new List <object>();
objs.Add(rtmp.Spec.Name);
objs.Add("");
objs.Add("");
objs.Add(rtmp.IsId);
foreach (var c in rtmp.Components)
{
objs.Add(double.IsNaN(c.PredictedValue) ? "" : c.PredictedValue.ToString(c.EpsFormatString));
}
var node = this.treeGridView1.Nodes.Add(objs.ToArray());
node.HeaderCell.Value = rowNum.ToString();
for (int i = 0; i < num; i++)
{
if (rtmp.Items.Length > i)
{
var row = new nodeRow(rtmp.Items[i]);
node.Nodes.Add(row);
row.Cells[0].Value = rtmp.Items[i].Spec.Name;
row.Cells[1].Value = rtmp.Items[i].TQ.ToString("F4");
row.Cells[2].Value = rtmp.Items[i].SQ.ToString("F4");
row.Cells[3].Value = rtmp.Items[i].Result ? "Yes" : "No";
var cidx = 4;
foreach (var c in rtmp.Items[i].Spec.Components)
{
row.Cells[cidx].Value = double.IsNaN(c.ActualValue) ? "" : c.ActualValue.ToString(string.Format("F{0}", c.Eps));
cidx++;
}
}
}
}
private void AddResult(IdentifyResult r, int num, int numOfId)
{
if (!this._inited)
{
this.Init();
}
if (r == null || num < 1)
{
return;
}
this._results.Add(r);
if (!this._compShow)
{
var names = r.Components.Select(c => c.Name).ToArray();
for (int i = 0; i < names.Length; i++)
{
if (i < this._dColnum - 4 && this.Columns.Count > (4 + i))
{
this.Columns[4 + i].HeaderText = names[i];
}
else
{
this.Columns.Add(new DataGridViewTextBoxColumn()
{
Width = 60,
HeaderText = names[i],
ReadOnly = true,
});
}
}
this._compShow = true;
}
var rtmp = IdentifyModel.GetPredictValue(r, num, numOfId);
var objs = new List <object>();
objs.Add(rtmp.Spec.Name);
objs.Add("");
objs.Add("");
objs.Add(rtmp.IsId);
foreach (var c in rtmp.Components)
{
objs.Add(double.IsNaN(c.ActualValue) ? "" : c.ActualValue.ToString(string.Format("F{0}", c.Eps)));
}
TreeGridNode node;
if (this.Nodes.Count <= (this._results.Count - 1) * 3)
{
node = this.Nodes.Add(objs.ToArray());
}
else
{
node = this.Nodes[(this._results.Count - 1) * 3];
for (int i = 0; i < objs.Count; i++)
{
if (node.Cells.Count > i)
{
node.Cells[i].Value = objs[i];
}
}
}
for (int i = 0; i < num; i++)
{
if (rtmp.Items.Length > i)
{
var row = new nodeRow(rtmp.Items[i]);
node.Nodes.Add(row);
row.Cells[0].Value = rtmp.Items[i].Spec.Name;
row.Cells[1].Value = rtmp.Items[i].TQ.ToString("F4");
row.Cells[2].Value = rtmp.Items[i].SQ.ToString("F4");
row.Cells[3].Value = rtmp.Items[i].Result ? "Yes" : "No";
var cidx = 4;
foreach (var c in rtmp.Items[i].Spec.Components)
{
row.Cells[cidx].Value = double.IsNaN(c.ActualValue) ? "" : c.ActualValue.ToString(string.Format("F{0}", c.Eps));
cidx++;
}
}
}
//预测值
objs = new List <object>();
objs.Add("预测值");
objs.Add("");
objs.Add("");
objs.Add("");
foreach (var c in rtmp.Components)
{
objs.Add(double.IsNaN(c.PredictedValue) ? "" : c.PredictedValue.ToString(string.Format("F{0}", c.Eps)));
}
if (this.Nodes.Count <= (this._results.Count - 1) * 3 + 1)
{
this.Nodes.Add(objs.ToArray());
}
else
{
var tn = this.Nodes[(this._results.Count - 1) * 3 + 1];
for (int i = 0; i < objs.Count; i++)
{
if (tn.Cells.Count > i)
{
tn.Cells[i].Value = objs[i];
}
}
}
//偏差
objs = new List <object>();
objs.Add("偏差");
objs.Add("");
objs.Add("");
objs.Add("");
if (rtmp.Components != null && rtmp.Components.Count > 0)
{
foreach (var c in rtmp.Components)
{
objs.Add(double.IsNaN(c.Error) ? "" : c.Error.ToString(string.Format("F{0}", c.Eps)));
}
}
if (this.Nodes.Count <= (this._results.Count - 1) * 3 + 2)
{
this.Nodes.Add(objs.ToArray());
}
else
{
var tn = this.Nodes[(this._results.Count - 1) * 3 + 2];
for (int i = 0; i < objs.Count; i++)
{
if (tn.Cells.Count > i)
{
tn.Cells[i].Value = objs[i];
}
}
}
}
private void AddResult(FittingResult r)
{
if (!this._inited)
{
this.Init();
}
if (r == null)
{
return;
}
this._results.Add(r);
if (!this._compShow)
{
var names = r.FitSpec.Components.Select(c => c.Name).ToArray();
for (int i = 0; i < names.Length; i++)
{
if (i < this._dColnum - 5 && this.Columns.Count > (5 + i))
{
this.Columns[5 + i].HeaderText = names[i];
}
else
{
this.Columns.Add(new DataGridViewTextBoxColumn()
{
Width = 60,
HeaderText = names[i],
ReadOnly = true,
});
}
}
this._compShow = true;
}
nodeRow node;
if (this.Nodes.Count <= (this._results.Count - 1) * 3)
{
node = new nodeRow(r);
this.Nodes.Add(node);
}
else
{
node = this.Nodes[(this._results.Count - 1) * 3] as nodeRow;
node.Result = r;
}
node.Cells[0].Value = r.SpecOriginal.Name;
node.Cells[1].Value = "";
node.Cells[2].Value = r.TQ.ToString("F4");
node.Cells[3].Value = r.SQ.ToString("F4");
node.Cells[4].Value = r.Result;
var cidx = 5;
foreach (var c in r.SpecOriginal.Components)
{
node.Cells[cidx].Value = double.IsNaN(c.ActualValue) ? "" : c.ActualValue.ToString(string.Format("F{0}", c.Eps));
cidx++;
}
foreach (var d in r.Specs)
{
var ds = new List <object>();
ds.Add(d.Spec.Name);
ds.Add(d.Rate.ToString("F4"));
ds.Add("");
ds.Add("");
ds.Add("");
foreach (var c in d.Spec.Components)
{
ds.Add(c.ActualValue.ToString(string.Format("F{0}", c.Eps)));
}
node.Nodes.Add(ds.ToArray());
}
//预测值
var objs = new List <object>();
objs.Add("预测值");
objs.Add("");
objs.Add("");
objs.Add("");
objs.Add("");
foreach (var c in r.FitSpec.Components)
{
objs.Add(double.IsNaN(c.PredictedValue) ? "" : c.PredictedValue.ToString(string.Format("F{0}", c.Eps)));
}
if (this.Nodes.Count <= (this._results.Count - 1) * 3 + 1)
{
this.Nodes.Add(objs.ToArray());
}
else
{
var tn = this.Nodes[(this._results.Count - 1) * 3 + 1];
for (int i = 0; i < objs.Count; i++)
{
if (tn.Cells.Count > i)
{
tn.Cells[i].Value = objs[i];
}
}
}
//偏差
objs = new List <object>();
objs.Add("偏差");
objs.Add("");
objs.Add("");
objs.Add("");
objs.Add("");
if (r.SpecOriginal.Components != null && r.FitSpec.Components.Count > 0)
{
for (int i = 0; i < r.FitSpec.Components.Count; i++)
{
r.SpecOriginal.Components[i].Error = r.SpecOriginal.Components[i].ActualValue - r.FitSpec.Components[i].PredictedValue;
objs.Add(double.IsNaN(r.SpecOriginal.Components[i].Error) ? "" : r.SpecOriginal.Components[i].Error.ToString(string.Format("F{0}", r.SpecOriginal.Components[i].Eps)));
}
}
if (this.Nodes.Count <= (this._results.Count - 1) * 3 + 2)
{
this.Nodes.Add(objs.ToArray());
}
else
{
var tn = this.Nodes[(this._results.Count - 1) * 3 + 2];
for (int i = 0; i < objs.Count; i++)
{
if (tn.Cells.Count > i)
{
tn.Cells[i].Value = objs[i];
}
}
}
}
