public Image[] GetRects(Image[] imgsToAdd, int maxDimension, int padding, out int outW, out int outH)
{
ProbeResult probeResult = null;
float num = 0f;
int num2 = 0;
int num3 = 0;
for (int i = 0; i < imgsToAdd.Length; i++)
{
Image image = imgsToAdd[i];
num += (float)(image.width * image.height);
num2 = Mathf.Max(num2, image.width);
num3 = Mathf.Max(num3, image.height);
}
int num4 = (int)Mathf.Sqrt(num);
int num5 = num4;
int num6 = num4;
if (num2 > num4)
{
num5 = num2;
num6 = Mathf.Max(Mathf.CeilToInt(num / (float)num2), num3);
}
if (num3 > num4)
{
num5 = Mathf.Max(Mathf.CeilToInt(num / (float)num3), num2);
num6 = num3;
}
if (num5 == 0)
{
num5 = 1;
}
if (num6 == 0)
{
num6 = 1;
}
int num7 = (int)((float)num5 * 0.15f);
int num8 = (int)((float)num6 * 0.15f);
if (num7 == 0)
{
}
if (num8 == 0)
{
}
ProbeResult probeResult2 = new ProbeResult();
if (this.Probe(imgsToAdd, maxDimension, maxDimension, num, maxDimension, probeResult2))
{
probeResult = probeResult2;
}
outW = 0;
outH = 0;
if (probeResult == null)
{
return(null);
}
outW = probeResult.width;
outH = probeResult.height;
List <Image> list = new List <Image>();
TexPacker.flattenTree(probeResult.root, list);
list.Sort(new TexPacker.ImgIDComparer());
if (list.Count != imgsToAdd.Length)
{
LogSystem.LogWarning(new object[]
{
"Result images not the same lentgh as source"
});
}
return(list.ToArray());
}
private bool Probe(Image[] imgsToAdd, int idealAtlasW, int idealAtlasH, float imgArea, int maxAtlasDimension, ProbeResult pr)
{
Node node = new Node();
node.pixRect = new PixRect(0, 0, idealAtlasW, idealAtlasH);
for (int i = 0; i < imgsToAdd.Length; i++)
{
if (node.Insert(imgsToAdd[i], false) == null)
{
return(false);
}
if (i == imgsToAdd.Length - 1)
{
int num = 0;
int num2 = 0;
this.GetExtent(node, ref num, ref num2);
float efficiency = 1f - ((float)(num * num2) - imgArea) / (float)(num * num2);
float squareness;
if (num < num2)
{
squareness = (float)num / (float)num2;
}
else
{
squareness = (float)num2 / (float)num;
}
bool fits = num <= maxAtlasDimension && num2 <= maxAtlasDimension;
pr.Set(num, num2, node, fits, efficiency, squareness);
return(true);
}
}
return(false);
}
