var formData = new FormData();
            formData.append('Organizations', $('#Organizations').val());
            formData.append('OrgNameInReports', $('#OrgNameInReports').val());
            formData.append('CenterTypes', $('#CenterTypes').val());
            formData.append('Users', $('#Users').val());
            formData.append('Comments', $('#Comments').val());
            formData.append('UserTypes', $('#UserTypes').val());

            jQuery.each($('#profile-img')[0].files, function (i, file) {
                formData.append('picture-' + i, file);
            });
            $.ajax({                
                url: 'SettingPages/OrgManagmentService.asmx/SaveNewOrgManager',
                type: 'POST',
                data: formData,
                 dataType: 'json',
                contentType: false,
                processData: false,

                beforeSend: function () {
                    Preloader();
                },
                complete: function (data) {
                    
                    RemovePreloader();
                },
                success: function (data, status) { 
                    data = JSON.stringify(data);
                    console.log(data);
                   

                },
                error: function (data, status,e) {
                    alert(status);
                }
            });

        private static double MachineLearning(IKernel kernel, double[][] inputs, int[] labels)
        {
            machine_svm = new MulticlassSupportVectorMachine(1024, kernel, 10);

            // معرفی دسته بندمان به الگوریتم یادگیری SMO
            MulticlassSupportVectorLearning ml = new MulticlassSupportVectorLearning(machine_svm, inputs, labels)
            {
                Algorithm = (svm, classInputs, classOutputs, i, j) => 
                    new SequentialMinimalOptimization(svm, classInputs, classOutputs)
            };

            var error = ml.Run();
            return error;
        }

            // بررسی یک دسته از ورودی‌ها 
            index = 51;
            for (int number = 0; number < 10; number++)
            {
                filename = string.Format(@"{0}\{0} ({1}).bmp", number, index);
                bitmap = new Bitmap(path + filename);

                feature = FeatureExtractor(bitmap);

                double[] responses;
                int recognizednumber = machine_svm.Compute(feature, out responses);

                Console.WriteLine
                (
                    String.Format
                    (
                        "Recognized number for file {0} is : '{1}' [{2}]",
                        filename,
                        recognizednumber,
                        (recognizednumber == number ? "OK" : "Error")
                    )
                );
                if (!machine_svm.IsProbabilistic)
                {
                    // Normalize responses
                    double max = responses.Max();
                    double min = responses.Min();

                    responses = Accord.Math.Tools.Scale(min, max, 0, 1, responses);
                    //int minIndex = Array.IndexOf(responses, 0);              
                }
            }

  <p>
    <input type="text" name="Model.Values[@first].Key" value="@kvp.Key" />
    <input type="text" name="Model.Values[@first].Value" value="@kvp.Value" />
    <input type="hidden" name="Model.Values.Index" value="@first" />
  </p>

        function getHiddenColumnsList() {
            var colModel = $("#list").jqGrid('getGridParam', 'colModel');
            var hiddenColumns = new Array();
            
            if (!colModel)
                return hiddenColumns;

            for (var i = 0; i < colModel.length; i++) {
                if (colModel[i].hidden) {
                    hiddenColumns.push(colModel[i].name) ;
                }
            }
            return hiddenColumns;
        }

      $(document).ready(function () {
            $('#list').jqGrid({
                    // ... 
                    postData: { 'hiddenColumns': function() { return getHiddenColumnsList(); } }
                    // ... 
                });
       });

var user = new User
{
      PhoneNumber = user.PhoneNumber
};
user.Apps.Add(appCode, new ActiveApp
{
       FirstName = "عبدالصالح",
       LastName = "کاشانی",
       UserName = abdossaleh,
       IsActive = true,
       RolesId = new List<string>{"Admin"}
});
await _documentSession.StoreAsync(user);
await _documentSession.SaveChangesAsync()

 _documentSession.Advanced.Increment<User, int>("Users/131-A", x => x.TestProp, 10);
 

_documentSession.Advanced.Defer(new PatchCommandData("Users/131-A", null,
                              new PatchRequest()
                              {
                                    Script = $@"this.Apps[args.appCode] = args.app",
                                    Values =
                                         {
                                              {"appCode", appCode},
                                              {"app", new ActiveApp
                                                   {
                                                        FirstName = "عبدالصالح",
                                                        LastName = "کاشانی",
                                                        UserName = abdossaleh,
                                                        RolesId = new List<string>{"Admin"}
                                                    }
                                              }
                                          }
                              }, null));

Script = "this.Apps[args.app].Roles.splice(args.index,0,args.role)",
Values =
        {
            {
                "index": 1 // مکانی که میخواهیم عملیات انجام شود
                "app", 59
                "role", "User"
            }
        }

splice(args.index,1,args.role)

Script = @"this.Roles= this.Apps[args.app].Roles.filter(role=> role != args.role);",
        Values =
        {
            {"app", 59}
            {"role", "User"}
        }