Tutorial by Examples: ar

#!/usr/bin/env node var fs = require('fs'); var path = require('path'); var jshint = require('jshint').JSHINT; var async = require('async'); var foldersToProcess = [ 'js' ]; foldersToProcess.forEach(function(folder) { processFiles("www/" + folder); }); function proce...

Insert the following function call within your JavaScript when searching within your website to track how visitors are using your internal search features. In this example, the Event Action filters is a comma-delimited list of search filter name/value pairs, and the Event Label orderedBy is a strin...

Adding a product to a shopping cart (Label item.name references the name property of the product added): ga('send', 'event', 'Cart', 'Add', product.name); This lets you see what people are adding to the shopping cart, even if they never complete the order, allowing more insight into where users ...

class MyClass { private String privateField } def prvtClss = new MyClass(privateField: 'qwerty') println prvtClss.privateField will print us 'qwerty' This issue is known since version 1.1 and there is a bug report on that: http://jira.codehaus.org/browse/GROOVY-1875. It is not reso...

If you have an Ecto.Queryable, named Post, which has a title and an description. You can fetch the Post with title: "hello" and description : "world" by performing : MyRepo.get_by(Post, [title: "hello", description: "world"]) All of this is possible beca...

After a statement was executed, a call to sqlite3_reset() brings it back into the original state so that it can be re-executed. Typically, while the statement itself stays the same, the parameters are changed: const char *sql = "INSERT INTO MyTable(ID, Name) VALUES (?, ?)"; sqlite3_stmt...

Employee Entity @Entity public class Employee { @TableGenerator(name = "employee_gen", table = "id_gen", pkColumnName = "gen_name", valueColumnName = "gen_val", allocationSize = 1) @Id @GeneratedValue(strategy = GenerationType.TABLE, generat...

You can use moment to parse date strings. By default moment tries to parse the date as an ISO-8601 string and if that does not work falls back to the browsers new Date(). Since the way that browsers construct dates varies it is best to try not to fall back to this. moment('2016-02-04').format('YYY...

public override void ViewDidLoad() { base.ViewDidLoad(); // Perform any additional setup after loading the view, typically from a nib. //Declare the search bar and add it to the header of the table searchBar = new UISearchBar(); searchBar.SizeToFit(); ...

It is suggested that you define groups based on purpose of the host (roles) and also geography or datacenter location (if applicable): File inventory/production [rogue-server] 192.168.1.1 [atlanta-webservers] www-atl-1.example.com www-atl-2.example.com [boston-webservers] www-bos-1.examp...

This example extends the basic example passing parameters in the route in order to use them in the controller To do so we need to: Configure the parameter position and name in the route name Inject $routeParams service in our Controller app.js angular.module('myApp', ['ngRoute']) .contro...

Select * from firm's_address; Select * from "firm's_address";

Say you have a table named table or you want to create a table with name which is also a keyword, You have to include the name table in pair of double quotes "table" Select * from table; Above query will fail with syntax error, where as below query will run fine. Select * from "tab...

The simplest approach to parallel reduction in CUDA is to assign a single block to perform the task: static const int arraySize = 10000; static const int blockSize = 1024; __global__ void sumCommSingleBlock(const int *a, int *out) { int idx = threadIdx.x; int sum = 0; for (int i ...

Doing parallel reduction for a non-commutative operator is a bit more involved, compared to commutative version. In the example we still use a addition over integers for the simplicity sake. It could be replaced, for example, with matrix multiplication which really is non-commutative. Note, when ...

Multi-block approach to parallel reduction in CUDA poses an additional challenge, compared to single-block approach, because blocks are limited in communication. The idea is to let each block compute a part of the input array, and then have one final block to merge all the partial results. To do t...

Multi-block approach to parallel reduction is very similar to the single-block approach. The global input array must be split into sections, each reduced by a single block. When a partial result from each block is obtained, one final block reduces these to obtain the final result. sumNoncommSin...

Sometimes the reduction has to be performed on a very small scale, as a part of a bigger CUDA kernel. Suppose for example, that the input data has exactly 32 elements - the number of threads in a warp. In such scenario a single warp can be assigned to perform the reduction. Given that warp execut...

Sometimes the reduction has to be performed on a very small scale, as a part of a bigger CUDA kernel. Suppose for example, that the input data has exactly 32 elements - the number of threads in a warp. In such scenario a single warp can be assigned to perform the reduction. Given that warp execut...

Typically, reduction is performed on global or shared array. However, when the reduction is performed on a very small scale, as a part of a bigger CUDA kernel, it can be performed with a single warp. When that happens, on Keppler or higher architectures (CC>=3.0), it is possible to use warp-shu...