static int Main(string[] args)
{
ServiceProvider serviceProvider = CreateServiceProvider();
var logger = serviceProvider.GetService <ILogger <Program> >();
var writer = serviceProvider.GetService <FileWriter>();
return(Parser.Default.ParseArguments <NormalizeOptions, GenerateOptions, PaintOptions, ClusterizationOptions, ForecastOptions>(args)
.MapResult(
(GenerateOptions opts) => Generator.Generate(opts, logger, writer),
(NormalizeOptions opts) => Normalizer.Normalize(opts, logger),
(PaintOptions opts) => Painter.Paint(opts, writer, logger),
(ClusterizationOptions opts) => Clusterizer.Clusterize(opts, logger, writer),
(ForecastOptions opts) => Forecaster.Forecast(opts, writer, logger),
errs => HandleParseError(errs, logger)));
}
private void btnGenerate_Click(object sender, EventArgs e)
{
var drawer = new Drawer();
var rand = new Random();
var cores = new List <ClusterCore>();
for (var i = 0; i < 20; i++)
{
var coreLocation = new Point(rand.Next(0, 420), rand.Next(0, 420));
cores.Add(new ClusterCore(coreLocation));
}
var dots = new List <Dot>();
for (var i = 20; i < 100000; i++)
{
dots.Add(new Dot(new Point(rand.Next(0, 420), rand.Next(0, 420))));
}
var clusterizer = new Clusterizer();
clusterizer.Clusterize(cores, dots);
var bitmap = new Bitmap(420, 420);
var graphics = Graphics.FromImage(bitmap);
drawer.DrawField(graphics, dots, cores);
picboxBeforeClusterization.Image = bitmap;
clusterizer.OptimizeClusterisation(cores, dots);
var bitmap1 = new Bitmap(420, 420);
var graphics1 = Graphics.FromImage(bitmap1);
drawer.DrawField(graphics1, dots, cores);
picBoxAfterClusterization.Image = bitmap1;
}
