A set of tslint rules for static code analysis of Angular TypeScript projects.
You can run the static code analyzer over web apps, NativeScript, Ionic, etc.

app.Use(async (context, next) =>
{
   context.Items["isVerified"] = true;
   await next.Invoke();
});

app.Run(async (context) =>
{
   await context.Response.WriteAsync("Verified request? " + context.Items["isVerified"]);
});

{
    "dependencies": {
      //same as before
      "Microsoft.AspNetCore.Session": "1.0.0"
    }
}

public void ConfigureServices(IServiceCollection services)
{
    services.AddSession();

public void Configure(IApplicationBuilder app)
{
    app.UseSession();

app.UseSession(options: new SessionOptions
{
    IdleTimeout = TimeSpan.FromMinutes(30),
    CookieName = ".MyApplication"
});

public ActionResult TestSession()
{
 
   this.HttpContext.Session.Set("key-1", BitConverter.GetBytes(DateTime.Now.Ticks));
   this.HttpContext.Session.SetInt32("key-2", 1);
   this.HttpContext.Session.SetString("key-3", "DNT");
 
   return Content("OK!");
}

 public IActionResult Index()
{
   byte[] key1 = this.HttpContext.Session.Get("key-1");
   long key1Value = BitConverter.ToInt64(key1, 0);
 
   int? key2Value = this.HttpContext.Session.GetInt32("key-2");
   string key3Value = this.HttpContext.Session.GetString("key-3");
 
   return Content("OK!");
}

using System;
using Microsoft.AspNetCore.Http;
using Newtonsoft.Json;
 
namespace Core1RtmEmptyTest.StartupCustomizations
{
    public static class SessionExts
    {
        public static void SetDateTime(this ISession collection, string key, DateTime value)
        {
            collection.Set(key, BitConverter.GetBytes(value.Ticks));
        }
 
        public static DateTime? GetDateTime(this ISession collection, string key)
        {
            var data = collection.Get(key);
            if (data == null)
            {
                return null;
            }
            var dateInt = BitConverter.ToInt64(data, 0);
            return new DateTime(dateInt);
        }
 
        public static void SetObject(this ISession session, string key, object value)
        {
            var stringValue = JsonConvert.SerializeObject(value);
            session.SetString(key, stringValue);
        }
 
        public static T GetObject<T>(this ISession session, string key)
        {
            var stringValue = session.GetString(key);
            return JsonConvert.DeserializeObject<T>(stringValue);
        }
    }
}

{
    "dependencies": {
     //same as before
     "Microsoft.Extensions.Configuration.Json": "1.0.0"
   }
}

var numbers1_CS11 = new[] { 1, 2, 3 };

var numbers1_CS_11 = new int[] { 1, 2, 3 };

int[] numbers1_CS12 = [ 1, 2, 3 ];

error CS9176: There is no target type for the collection expression.

Span<string> span1_CS11 = new string[] { "AC", "AL" };

Span<string> span1_CS12 = [ "AC", "AL" ];

ReadOnlySpan<string> readOnlySpan_CS12 = [ "Africa",  "Asia", "Europa"];

int[][] array2D_CS11 =
  {
    new int[] { 2002, 2006, 2010},
    new int[] { 2014, 2018},
    new int[] { 2022, 2026, 2030}
  };

int[][] array2D_CS12 =
  [
     [2002, 2006, 2010],
     [2014, 2018],
     [2022, 2026, 2030]
  ];

List<string> list_CS11 = new List<string> { "Item 1", "Item 2" };

List<string> list_CS12 = [ "Item 1", "Item 2" ];

// Before C#12
List<User> users = new List<User>();
// or
var users = new List<User>();
// or
List<User> user = new();

// C#12
List<User> users = [];

int[] numbers1_CS12 = [ 1, 2, 3 ];
int[] numbers2_CS12 = [ 4, 5, 6 ];

int[] allItems = [ ..numbers1_CS12, ..numbers2_CS12 ];

int[] allItems_CS11 = numbers1_CS12.Concat(numbers2_CS12).ToArray();

int[] join = [..a, ..b, ..c, 6, 5];

int[] a =[1, 2, 3];
Span<int> b = [2, 4, 5, 4, 4];
List<int> c = [4, 6, 6, 5];

List<int> join = [..a, ..b, ..c, 6, 5];

List<(string, int)> otherScores = [("Dave", 90), ("Bob", 80)];

(string name, int score)[] scores = [("Alice", 90), ..otherScores, ("Charlie", 70)];

We can now run ASP.NET Core applications as Windows services with minimal effort. This blog post introduces how this process is done.

// load the image and convert it to grayscale
var image = new Mat(fileName);
 
if (rotation != 0)
{
    rotateImage(image, image, rotation, 1);
}
 
if (debug)
{
    Cv2.ImShow("Source", image);
    Cv2.WaitKey(1); // do events
}
 
var gray = new Mat();
var channels = image.Channels();
if (channels > 1)
{
    Cv2.CvtColor(image, gray, ColorConversion.BgrToGray);
}
else
{
    image.CopyTo(gray);
}

// compute the Scharr gradient magnitude representation of the images
// in both the x and y direction
var gradX = new Mat();
Cv2.Sobel(gray, gradX, MatType.CV_32F, xorder: 1, yorder: 0, ksize: -1);
//Cv2.Scharr(gray, gradX, MatType.CV_32F, xorder: 1, yorder: 0);
 
var gradY = new Mat();
Cv2.Sobel(gray, gradY, MatType.CV_32F, xorder: 0, yorder: 1, ksize: -1);
//Cv2.Scharr(gray, gradY, MatType.CV_32F, xorder: 0, yorder: 1);
 
// subtract the y-gradient from the x-gradient
var gradient = new Mat();
Cv2.Subtract(gradX, gradY, gradient);
Cv2.ConvertScaleAbs(gradient, gradient);
 
if (debug)
{
    Cv2.ImShow("Gradient", gradient);
    Cv2.WaitKey(1); // do events
}

// blur and threshold the image
var blurred = new Mat();
Cv2.Blur(gradient, blurred, new Size(9, 9));
 
var threshImage = new Mat();
Cv2.Threshold(blurred, threshImage, thresh, 255, ThresholdType.Binary);
 
if (debug)
{
    Cv2.ImShow("Thresh", threshImage);
    Cv2.WaitKey(1); // do events
}
 
 
// construct a closing kernel and apply it to the thresholded image
var kernel = Cv2.GetStructuringElement(StructuringElementShape.Rect, new Size(21, 7));
var closed = new Mat();
Cv2.MorphologyEx(threshImage, closed, MorphologyOperation.Close, kernel);
 
if (debug)
{
    Cv2.ImShow("Closed", closed);
    Cv2.WaitKey(1); // do events
}
 
 
// perform a series of erosions and dilations
Cv2.Erode(closed, closed, null, iterations: 4);
Cv2.Dilate(closed, closed, null, iterations: 4);
 
if (debug)
{
    Cv2.ImShow("Erode & Dilate", closed);
    Cv2.WaitKey(1); // do events
}

//find the contours in the thresholded image, then sort the contours
//by their area, keeping only the largest one
 
Point[][] contours;
HiearchyIndex[] hierarchyIndexes;
Cv2.FindContours(
    closed,
    out contours,
    out hierarchyIndexes,
    mode: ContourRetrieval.CComp,
    method: ContourChain.ApproxSimple);
 
if (contours.Length == 0)
{
    throw new NotSupportedException("Couldn't find any object in the image.");
}
 
var contourIndex = 0;
var previousArea = 0;
var biggestContourRect = Cv2.BoundingRect(contours[0]);
while ((contourIndex >= 0))
{
    var contour = contours[contourIndex];
 
    var boundingRect = Cv2.BoundingRect(contour); //Find bounding rect for each contour
    var boundingRectArea = boundingRect.Width * boundingRect.Height;
    if (boundingRectArea > previousArea)
    {
        biggestContourRect = boundingRect;
        previousArea = boundingRectArea;
    }
 
    contourIndex = hierarchyIndexes[contourIndex].Next;
}
 
 
var barcode = new Mat(image, biggestContourRect); //Crop the image
Cv2.CvtColor(barcode, barcode, ColorConversion.BgrToGray);
 
Cv2.ImShow("Barcode", barcode);
Cv2.WaitKey(1); // do events

 PM> Install-Package ZXing.Net

private static string getBarcodeText(Mat barcode)
{
    // `ZXing.Net` needs a white space around the barcode
    var barcodeWithWhiteSpace = new Mat(new Size(barcode.Width + 30, barcode.Height + 30), MatType.CV_8U, Scalar.White);
    var drawingRect = new Rect(new Point(15, 15), new Size(barcode.Width, barcode.Height));
    var roi = barcodeWithWhiteSpace[drawingRect];
    barcode.CopyTo(roi);
 
    Cv2.ImShow("Enhanced Barcode", barcodeWithWhiteSpace);
    Cv2.WaitKey(1); // do events
 
    return decodeBarcodeText(barcodeWithWhiteSpace.ToBitmap());
}
 
private static string decodeBarcodeText(System.Drawing.Bitmap barcodeBitmap)
{
    var source = new BitmapLuminanceSource(barcodeBitmap);
 
    // using http://zxingnet.codeplex.com/
    // PM> Install-Package ZXing.Net
    var reader = new BarcodeReader(null, null, ls => new GlobalHistogramBinarizer(ls))
    {
        AutoRotate = true,
        TryInverted = true,
        Options = new DecodingOptions
        {
            TryHarder = true,
            //PureBarcode = true,
            /*PossibleFormats = new List<BarcodeFormat>
                    {
                        BarcodeFormat.CODE_128
                        //BarcodeFormat.EAN_8,
                        //BarcodeFormat.CODE_39,
                        //BarcodeFormat.UPC_A
                    }*/
        }
    };
 
    //var newhint = new KeyValuePair<DecodeHintType, object>(DecodeHintType.ALLOWED_EAN_EXTENSIONS, new Object());
    //reader.Options.Hints.Add(newhint);
 
    var result = reader.Decode(source);
    if (result == null)
    {
        Console.WriteLine("Decode failed.");
        return string.Empty;
    }
 
    Console.WriteLine("BarcodeFormat: {0}", result.BarcodeFormat);
    Console.WriteLine("Result: {0}", result.Text);
 
 
    var writer = new BarcodeWriter
    {
        Format = result.BarcodeFormat,
        Options = { Width = 200, Height = 50, Margin = 4},
        Renderer = new ZXing.Rendering.BitmapRenderer()
    };
    var barcodeImage = writer.Write(result.Text);
    Cv2.ImShow("BarcodeWriter", barcodeImage.ToMat());
 
    return result.Text;
}

var barcodeClone = barcode.Clone();
var barcodeText = getBarcodeText(barcodeClone);
 
if (string.IsNullOrWhiteSpace(barcodeText))
{
    Console.WriteLine("Enhancing the barcode...");
    //Cv2.AdaptiveThreshold(barcode, barcode, 255,
        //AdaptiveThresholdType.GaussianC, ThresholdType.Binary, 9, 1);
    //var th = 119;
    var th = 100;
    Cv2.Threshold(barcode, barcode, th, 255, ThresholdType.ToZero);
    Cv2.Threshold(barcode, barcode, th, 255, ThresholdType.Binary);
    barcodeText = getBarcodeText(barcode);
}
 
Cv2.Rectangle(image,
    new Point(biggestContourRect.X, biggestContourRect.Y),
    new Point(biggestContourRect.X + biggestContourRect.Width, biggestContourRect.Y + biggestContourRect.Height),
    new Scalar(0, 255, 0),
    2);
 
if (debug)
{
    Cv2.ImShow("Segmented Source", image);
    Cv2.WaitKey(1); // do events
}
 
Cv2.WaitKey(0);
Cv2.DestroyAllWindows();

 var detectedClass = (int)kNearest.FindNearest(result, 1, results, neighborResponses, dists);

 An unhandled exception of type 'System.AccessViolationException' occurred in OpenCvSharp.dll
Additional information: Attempted to read or write protected memory. This is often an indication that other memory is corrupt.