public static bool Run(
App app,
string dir,
Func <bool> IsTerminated)
{
const int CAPACITY = 1048576,
DIMS = 3;
string outputFileName = Path.GetTempFileName();
var expected = new System.Ai.Model(CAPACITY, DIMS);
var a = expected.Push("a");
a.SetScore(+0.5f);
a.SetVector(
new Complex[] { new Complex(0, 1), new Complex(2, 3), new Complex(4, 5) });
var b = expected.Push("z");
b.SetScore(-0.5f);
b.SetVector(
new Complex[] { new Complex(-6, -7), new Complex(-8, -9), new Complex(-10, -11) });
var sort = expected.Sort();
Model.Dump(sort, expected.Dims, Path.ChangeExtension(outputFileName, ".md"));
Model.Write(Path.ChangeExtension(outputFileName, ".model"),
sort,
expected.Dims);
var loaded = Model.Read(Path.ChangeExtension(outputFileName, ".model")).ToArray();
return(false);
}
public static bool Count(
App app,
Args args,
Func <bool> IsTerminated)
{
var Model = new System.Ai.Model(args.Capacity, 0);
var Files = Tools.GetFiles(
args.SearchPath,
args.SearchPattern,
args.SearchOption);
foreach (var file in Files)
{
Console.WriteLine($"Reading {Tools.GetShortPath(file)}...");
string buff = File.ReadAllText(file);
foreach (var t in PlainText.ForEach(buff))
{
if (t.Type == PlainTextTag.TEXT)
{
var k = args.Orthography.GetKey(buff.Substring(
t.StartIndex, t.Length));
if (k != null && k.Length > 0)
{
//var y = Model.Push(k);
//y++;
var ids = args.Orthography.Decompose(k);
if (ids != null)
{
foreach (var id in ids)
{
var sub = Model.Push(id);
sub++;
}
}
}
}
}
}
Tensor[] sort;
sort = Model.Sort();
App.StartWin32UI(null,
Curves.DrawCounts, () =>
sort,
$"{args.SearchPath} - Distribution",
Color.White,
Properties.Resources.Oxygen,
new Size(623, 400));
Model.Dump(sort, Model.Dims, Path.ChangeExtension(args.OutputFileName, ".md"));
return(false);
}