https://www.dntips.ir/jquery
https://www.dntips.ir/mvc
https://www.dntips.ir/برنامه

   [ValidateInput(false)] //برنامه نویس‌ها نیاز دارند تگ‌ها را جستجو کنند
  public virtual ActionResult Index(string term)
  {

public class StructureMapControllerFactory : DefaultControllerFactory
    {
        protected override IController GetControllerInstance(RequestContext requestContext, Type controllerType)
        {
            return ObjectFactory.GetInstance(controllerType) as Controller;
        }
    }

public class StructureMapControllerFactory : DefaultControllerFactory
    {
        protected override IController GetControllerInstance(RequestContext requestContext, Type controllerType)
        {
            if (controllerType == null)
            {
                var url = requestContext.HttpContext.Request.RawUrl;
                //string.Format("Page not found: {0}", url).LogException();

                requestContext.RouteData.Values["controller"] = MVC.Search.Name;
                requestContext.RouteData.Values["action"] = MVC.Search.ActionNames.Index;
                requestContext.RouteData.Values["term"] = url.GetPostSlug().Replace("-", " ");
                return ObjectFactory.GetInstance(typeof(SearchController)) as Controller;
            }
            return ObjectFactory.GetInstance(controllerType) as Controller;
        }
    }

 routes.RouteExistingFiles = true; //نیاز هست دانلود عمومی فایل‌ها تحت کنترل قرار گیرد

routes.MapRoute(
                "CatchAllRoute", // Route name
                "{*url}", // URL with parameters
                new { controller = "Search", action = "Index", term = UrlParameter.Optional, area = "" }, // Parameter defaults                
                new { term = new UrlConstraint() }
            );

    public class UrlConstraint : IRouteConstraint
    {
        public bool Match(System.Web.HttpContextBase httpContext, 
                          Route route, string parameterName, 
                          RouteValueDictionary values, 
                          RouteDirection routeDirection)
        {
            var url = httpContext.Request.RawUrl;
            //string.Format("Page not found: {0}", url).LogException();

            values["term"] = url.GetPostSlug().Replace("-", " ");
            return true;
        }
    }

PdfContentByte content = stamper.GetOverContent(pdfReader.NumberOfPages);
Image image = Image.GetInstance(imagePath);
image.SetAbsolutePosition(450,650);
image.ScaleAbsolute(200,200);
content.AddImage(image);

<Project Sdk="Microsoft.NET.Sdk">
  <PropertyGroup>
    <TargetFramework>net5.0</TargetFramework>
  </PropertyGroup>
</Project>

<Project Sdk="Microsoft.NET.Sdk">
  <PropertyGroup>
    <TargetFrameworks>net5.0;netstandard2.1;netstandard2.0;net461</TargetFrameworks>
  </PropertyGroup>
</Project>

var person = new Object();
person.firstName = "Meysam";
person.birth = new Date(1982, 11, 8);
person.getAge = function () {
    var now = new Date();
    return now.getFullYear() - this.birth.getFullYear();
}

alert(person.firstName + ": " + person.getAge());    // Meysam: 34

var person = {
    firstName: "Meysam",
    birth: new Date(1982, 11, 8),
    getAge: function () {
        var now = new Date();
        return now.getFullYear() - this.birth.getFullYear();
    }
};

alert(person.firstName + ": " + person.getAge());    // Meysam: 34

Object.defineProperty(obj, prop, descriptor)

var person = {};
Object.defineProperty(person, "name", {
    writable: false,
    value:"Meysam"
});

alert(person.name);   // Meysam
person.name = "Arash";
alert(person.name);   // Meysam

var person = {};
Object.defineProperty(person, "name", {
    configurable: false,
    value: "Meysam"
});

alert(person.name);  // Meysam
delete person.name;
alert(person.name);  // Meysam

Object.defineProperties(obj, props)

var person = {};
Object.defineProperties(person, {
    "name": {
        configurable: false,
        value: "Meysam"
    },
    "age": {
        writable:false,
        value:34
    }
});

var date = {
    _year: 1,
    _month: 1,
    _day: 1,
    isLeap: function () {
        switch (this.year % 33) {
            case 1: case 5: case 9: case 13:
            case 17: case 22: case 26: case 30:
                return true;
            default:
                return false;
        }
    }
};

Object.defineProperties(date, {
    "year": {
        "get": function () { return this._year; },
        "set": function (newValue) {
            if (newValue < 1 || newValue > 9999)
                throw new Error("Year must be between 1 and 9999");
            this._year = newValue;
        }
    },
    "month": {
        "get": function () { return this._month; },
        "set": function (newValue) {
            if (newValue < 1 || newValue > 12)
                throw new Error("Month must be between 1 and 12");
            this._month = newValue;
        }
    },
    "day": {
        "get": function () { return this._day; },
        "set": function (newValue) {
            if (newValue < 1 || newValue > 31)
                throw new Error("Day must be between 1 and 31");
            if (this.month === 12 && !this.isLeap() && newValue > 29)
                throw new Error("Day must be between 1 and 29");
            if (this.month > 6 && newValue > 30)
                throw new Error("Day must be between 1 and 30");
            this._day = newValue;
        }
    }
});

var descriptor = Object.getOwnPropertyDescriptor(date, "_year");
alert(descriptor.value);   // 1
alert(descriptor.configurable); // true
alert(typeof descriptor.get); // undefined

descriptor = Object.getOwnPropertyDescriptor(date, "year");
alert(descriptor.value);   // undefined
alert(descriptor.configurable); // false
alert(typeof descriptor.get); // function

public class ImageInfo
{
    public Mat Image { set; get; }
    public int ImageGroupId { set; get; }
    public int ImageId { set; get; }
}

public IList<ImageInfo> ReadTrainingImages(string path, string ext)
{
    var images = new List<ImageInfo>();
 
    var imageId = 1;
    foreach (var dir in new DirectoryInfo(path).GetDirectories())
    {
        var groupId = int.Parse(dir.Name);
        foreach (var imageFile in dir.GetFiles(ext))
        {
            var image = processTrainingImage(new Mat(imageFile.FullName, LoadMode.GrayScale));
            if (image == null)
            {
                continue;
            }
 
            images.Add(new ImageInfo
            {
                Image = image,
                ImageId = imageId++,
                ImageGroupId = groupId
            });
        }
    }
 
    return images;
}

private static Mat processTrainingImage(Mat gray)
{
    var threshImage = new Mat();
    Cv2.Threshold(gray, threshImage, Thresh, ThresholdMaxVal, ThresholdType.BinaryInv); // Threshold to find contour
 
    Point[][] contours;
    HiearchyIndex[] hierarchyIndexes;
    Cv2.FindContours(
        threshImage,
        out contours,
        out hierarchyIndexes,
        mode: ContourRetrieval.CComp,
        method: ContourChain.ApproxSimple);
 
    if (contours.Length == 0)
    {
        return null;
    }
 
    Mat result = null;
 
    var contourIndex = 0;
    while ((contourIndex >= 0))
    {
        var contour = contours[contourIndex];
 
        var boundingRect = Cv2.BoundingRect(contour); //Find bounding rect for each contour
        var roi = new Mat(threshImage, boundingRect); //Crop the image
 
        //Cv2.ImShow("src", gray);
        //Cv2.ImShow("roi", roi);
        //Cv.WaitKey(0);
 
        var resizedImage = new Mat();
        var resizedImageFloat = new Mat();
        Cv2.Resize(roi, resizedImage, new Size(10, 10)); //resize to 10X10
        resizedImage.ConvertTo(resizedImageFloat, MatType.CV_32FC1); //convert to float
        result = resizedImageFloat.Reshape(1, 1);
 
        contourIndex = hierarchyIndexes[contourIndex].Next;
    }
 
    return result;
}

public CvKNearest TrainData(IList<ImageInfo> trainingImages)
{
    var samples = new Mat();
    foreach (var trainingImage in trainingImages)
    {
        samples.PushBack(trainingImage.Image);
    }
 
    var labels = trainingImages.Select(x => x.ImageGroupId).ToArray();
    var responses = new Mat(labels.Length, 1, MatType.CV_32SC1, labels);
    var tmp = responses.Reshape(1, 1); //make continuous
    var responseFloat = new Mat();
    tmp.ConvertTo(responseFloat, MatType.CV_32FC1); // Convert  to float
 
 
    var kNearest = new CvKNearest();
    kNearest.Train(samples, responseFloat); // Train with sample and responses
    return kNearest;
}

public void DoOCR(CvKNearest kNearest, string path)
{
    var src = Cv2.ImRead(path);
    Cv2.ImShow("Source", src);
 
    var gray = new Mat();
    Cv2.CvtColor(src, gray, ColorConversion.BgrToGray);
 
    var threshImage = new Mat();
    Cv2.Threshold(gray, threshImage, Thresh, ThresholdMaxVal, ThresholdType.BinaryInv); // Threshold to find contour
 
 
    Point[][] contours;
    HiearchyIndex[] hierarchyIndexes;
    Cv2.FindContours(
        threshImage,
        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.");
    }
 
    //Create input sample by contour finding and cropping
    var dst = new Mat(src.Rows, src.Cols, MatType.CV_8UC3, Scalar.All(0));
 
    var contourIndex = 0;
    while ((contourIndex >= 0))
    {
        var contour = contours[contourIndex];
 
        var boundingRect = Cv2.BoundingRect(contour); //Find bounding rect for each contour
 
        Cv2.Rectangle(src,
            new Point(boundingRect.X, boundingRect.Y),
            new Point(boundingRect.X + boundingRect.Width, boundingRect.Y + boundingRect.Height),
            new Scalar(0, 0, 255),
            2);
 
        var roi = new Mat(threshImage, boundingRect); //Crop the image
 
        var resizedImage = new Mat();
        var resizedImageFloat = new Mat();
        Cv2.Resize(roi, resizedImage, new Size(10, 10)); //resize to 10X10
        resizedImage.ConvertTo(resizedImageFloat, MatType.CV_32FC1); //convert to float
        var result = resizedImageFloat.Reshape(1, 1);
 
 
        var results = new Mat();
        var neighborResponses = new Mat();
        var dists = new Mat();
        var detectedClass = (int)kNearest.FindNearest(result, 1, results, neighborResponses, dists);
 
        //Console.WriteLine("DetectedClass: {0}", detectedClass);
        //Cv2.ImShow("roi", roi);
        //Cv.WaitKey(0);
 
        //Cv2.ImWrite(string.Format("det_{0}_{1}.png",detectedClass, contourIndex), roi);
 
        Cv2.PutText(
            dst,
            detectedClass.ToString(CultureInfo.InvariantCulture),
            new Point(boundingRect.X, boundingRect.Y + boundingRect.Height),
            0,
            1,
            new Scalar(0, 255, 0),
            2);
 
        contourIndex = hierarchyIndexes[contourIndex].Next;
    }
 
    Cv2.ImShow("Segmented Source", src);
    Cv2.ImShow("Detected", dst);
 
    Cv2.ImWrite("dest.jpg", dst);
 
    Cv2.WaitKey();
}

<div id="parent">
    <div id="child1">
        <div id="child2">
            <div id="child3"></div>
        </div>
    </div>
</div>

$('#parent').on('click', function (event) {

});

$('#child1').on('click', function (event) {

});

$('#child2').on('click', function (event) {

});

$(document).on('click', '#parent, #child1, #child2, #child3', function (event) {

});

$('.post .edit').on('click', function (event) {

});

$(document).on('click', '.post .edit', function (event) {

});

        var elemnt = $(event.target);
        if (elemnt.attr('id') === 'parent') {
            alert('this is parnet');
        }
        else if (elemnt.attr('id') === 'child2') {
            alert('this is child2');
        }

$(document).ready(function () {

    $(document).on('click','#parent', function (event) {

    });

    $(document).on('click','#child1', function (event) {

    });

    $(document).on('click','#child2', function (event) {
        event.st
    });

});