new Process
 {  StartInfo =
               {
                   FileName = Path.Combine(installPath, "hhc.exe"),
                   Arguments = ("\"" + path + "\\blog.hhp\""),
                   CreateNoWindow = true,
                   WorkingDirectory = blogDir,
                   UseShellExecute = false,
                   RedirectStandardOutput = true,
                   RedirectStandardError = true
                }
 }.Start();

Driver={Microsoft Excel Driver (*.xls, *.xlsx, *.xlsm, *.xlsb)};DBQ=path to xls/xlsx/xlsm/xlsb file

<location path=".............">
  <system.web>
    <authorization>
      <allow roles="Administrators" />
      <deny users="*" />
    </authorization>
  </system.web>
</location>

AttachDBFilename=|DataDirectory|\database.mdf

AppDomain.CurrentDomain.SetData("DataDirectory", "C:\myDB");

AttachDbFilename='Full\Path\To.MDF'

@using System.IO;
@{
    var pathsplited = new string[] { };
    if (ViewBag.CurrentPath != null)
    {
        pathsplited = ViewBag.CurrentPath.Split(Path.DirectorySeparatorChar);
    }
    string Host = Request.Url.Authority + "/" + MvcFileManager.Services.Helper.PathBrowseinWebConfig;
    string pathcombine = "";
}
@Html.ActionLink(Host , "Browse", new { path = pathcombine })  /

@if (pathsplited != null)
{
    foreach (var s in pathsplited)
    {
        if (s != "")
        {
            pathcombine += s + @"\";
            @Html.ActionLink(s, "Browse", new { path = pathcombine })
            @Html.Raw(" / ")   ;
        }

    }
}

@using System.Diagnostics
@using MvcFileManager.Services
@{
    var pathsplited = new string[] { };
    if (ViewBag.CurrentPath != null)
    {
        pathsplited = ViewBag.CurrentPath.Split(Path.DirectorySeparatorChar);
    }

    Debug.Assert(Request.Url != null, "Request.Url != null");
    string host = Request.Url.Authority + "/" + Helper.PathBrowseinWebConfig;
    string pathcombine = "";
}
@Html.ActionLink(host , "Browse", new { path = pathcombine })  

@if (pathsplited != null)
{
    foreach (var s in pathsplited)
    {
        if (s.Trim() != "")
        {
            @Html.Raw(" / ")
            pathcombine += s;
            pathcombine += Helper.FileFolderCheck(pathcombine) == FileFolderStatus.File ? "" : @"\";
            @Html.ActionLink(s, "Browse", new { path = pathcombine })
        }
    }
    @Html.Raw(Helper.FileFolderCheck(ViewBag.CurrentPath)==FileFolderStatus.File ? "" : (" / "))
}

 // cardCatalog.d.ts
declare module "CardCatalog"{
   export function printCard(callNumber: string): void;
}

 // app.ts
/// <reference path="cardCatalog.d.ts" />
import * as catalog from "CardCatalog";

npm init -f
npm install lodash --save

declare module "lodash" {
   export = _;
}

 /// <reference path="lodash.d.ts" />

 import * as _ from "lodash";

 let snakeCaseTitle = _.snakeCase("test this");
console.log(snakeCaseTitle);

 npm install tsd -g

 D:\Prog\1395\VSCodeTypeScript>tsd install lodash --save

 [ERR!] Error: connect ECONNREFUSED 10.10.34.36:443

 /// <reference path="./typings/tsd.d.ts" />

 npm install typings --global

 typings install lodash --ambient --save

 typings ERR! caused by Unable to connect to "https://raw.githubusercontent.com/DefinitelyTyped/DefinitelyTyped/299b5caa22876ef27dc8e9a5b7fd7bf93457b6f4/lodash/lodash-3.10.d.ts"
typings ERR! caused by connect ECONNREFUSED 10.10.34.36:443

 /// <reference path="./typings/main.d.ts" />

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();
}

// Create a graphics object for drawing.
Graphics gfxCaptchaImage = Graphics.FromImage(bitmap);

gfxCaptchaImage.PageUnit = GraphicsUnit.Pixel;
gfxCaptchaImage.SmoothingMode = SmoothingMode.HighQuality;
gfxCaptchaImage.Clear(Color.White);

// Create a Random Number from 1000 to 9999
int salt = CaptchaHelpers.CreateSalt();

public int CreateSalt()
{
   Random random = new Random();
   return random.Next(1000, 9999);
}

HttpContext.Current.Session["captchastring"] = salt;

string randomString = (salt).NumberToText(Language.Persian);

// Set up the text format.
var format = new StringFormat();
int faLCID = new System.Globalization.CultureInfo("fa-IR").LCID;
format.SetDigitSubstitution(faLCID, StringDigitSubstitute.National);
format.Alignment = StringAlignment.Near;
format.LineAlignment = StringAlignment.Near;
format.FormatFlags = StringFormatFlags.DirectionRightToLeft;

// Font of Captcha and its size
Font font = new Font("Tahoma", 10);

// Create a path for text 
GraphicsPath path = new GraphicsPath();

path.AddString(randomString, 
                font.FontFamily, 
                (int)font.Style, 
                (gfxCaptchaImage.DpiY * font.SizeInPoints / 72), 
                new Rectangle(0, 0, width, height), format);

gfxCaptchaImage.DrawPath(Pens.Navy, path);

//-- using a sin ware distort the image
int distortion = random.Next(-10, 10);
using (Bitmap copy = (Bitmap)bitmap.Clone())
{
          for (int y = 0; y < height; y++)
          {
              for (int x = 0; x < width; x++)
              {
                  int newX = (int)(x + (distortion * Math.Sin(Math.PI * y / 64.0)));
                  int newY = (int)(y + (distortion * Math.Cos(Math.PI * x / 64.0)));
                  if (newX < 0 || newX >= width) newX = 0;
                 if (newY < 0 || newY >= height) newY = 0;
                 bitmap.SetPixel(x, y, copy.GetPixel(newX, newY));
              }
         }
 }

//-- Draw the graphic to the bitmap
gfxCaptchaImage.DrawImage(bitmap, new Point(0, 0));

gfxCaptchaImage.Flush();

HttpResponseBase response = context.HttpContext.Response;
response.ContentType = "image/jpeg";
bitmap.Save(response.OutputStream, ImageFormat.Jpeg);

// Clean up.
font.Dispose();
gfxCaptchaImage.Dispose();
bitmap.Dispose();

public CaptchaImageResult CaptchaImage()
{
     return new CaptchaImageResult();
}

<img src="@Url.Action("CaptchaImage")"/>

[HttpPost]
public ActionResult Index(LogOnModel model)
{
      if (!ModelState.IsValid) return View(model);

      if (model.CaptchaInputText == Session["captchastring"].ToString()) 
             TempData["message"] = "تصویر امنتی را صحیح وارد کرده اید";
      else 
             TempData["message"] = "تصویر امنیتی را اشتباه وارد کرده اید";

      return View();
}

 ng new my-lib-test

 ng generate application my-app-name

 ng generate library my-lib

/*
* Public API Surface of my-lib
*/
export * from './lib/my-lib.service';
export * from './lib/my-lib.component';
export * from './lib/my-lib.module';

 export * from './lib/my-lib.models';

import { Injectable } from '@angular/core';

@Injectable({
  providedIn: 'root'
})
export class MyLibService {

  constructor() { }
}

 ng generate component show-data --project=my-lib

@NgModule({
  imports: [
    CommonModule,
    HttpClientModule
  ],
  declarations: [MyLibComponent, ShowDataComponent],
  exports: [MyLibComponent, ShowDataComponent]
})
export class MyLibModule { }

 ng build my-lib

Building Angular Package
Building entry point 'my-lib'
Rendering Stylesheets
Rendering Templates
Compiling TypeScript sources through ngc
Downleveling ESM2015 sources through tsc
Bundling to FESM2015
Bundling to FESM5
Bundling to UMD
Minifying UMD bundle
Remap source maps
Relocating source maps
Copying declaration files
Writing package metadata
Removing scripts section in package.json as it's considered a potential security vulnerability.
Built my-lib
Built Angular Package!
- from: D:\my-lib-test\projects\my-lib
- to: D:\my-lib-test\dist\my-lib

import { MyLibModule } from "my-lib";

@NgModule({
  imports: [
    BrowserModule,
    MyLibModule
  ]
})
export class AppModule { }

{
  "compilerOptions": {
    "paths": {
      "my-lib": [
        "dist/my-lib"
      ]
    }
  }
}

 <lib-show-data></lib-show-data>

ng build my-lib --prod
cd dist/my-lib
npm publish