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//////////////////Behavior

    public class TransactionalContainerBehavior : IActionBehavior
    {
        private readonly IContainer _container;
        private readonly ServiceArguments _arguments;
        private readonly Guid _behaviorId;

        public TransactionalContainerBehavior(IContainer container, ServiceArguments arguments, Guid behaviorId)
        {

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(function($){
    $.addAjaxItemDeleteHandler = function(options) {
        var defaults = {
                url: 'delete',
                data: function(id) { return { Id: id }; },
                deleteElementClass: 'item-delete',
                deleteElementIdAttribute: 'data-id',
                deleteElementDescriptionAttribute: 'data-description',
                deleteRowClass: 'item-row',
                deleteRowIdAttribute: 'data-id',

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// avoid duplicate primitives, use an object instead
// Func<string, string, bool, bool, bool> becomes Func<Foo, bool>

public class Foo
{
   public string ErrorMessage {get;set;}
   public string SuccessMessage {get;set;}
}

public static bool dynamicMethodGeneration(Func<Foo, bool> success, Func<Foo, bool> onError)

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function callAjax(){
$.ajax({
        url: "url",
        data: {
          value: "derp"
        },
        dataType: "json",
        success: function(data){
        	//do stuffs
        },

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(function($,window) {

    // doc ready
    $(function(){
        $("select.select").each(function(){

            $(this).change(function() {
                $.ajax({
                    url: "url",
                    data: {

rauhryan

This chart shows a histogram of a log-normal distribution of time durations. The data is randomly generated: each value is a number representing a duration measured in minutes. The values are then binned at regular intervals using D3’s histogram layout. A custom tick format for the x-axis converts these numbers to dates before passing them through a d3.time.format. The x-axis uses a linear scale, such that the tick values appear in-between bars; this provides better indication that each bar represents the count of values between its surrounding tick values.

See also this histogram of an Irwin–Hall distribution.