Esempio n. 1
0
File: Verify.cs Progetto: azret/ml
    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);
    }
Esempio n. 2
0
File: Exec.cs Progetto: azret/ml
    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);
    }