Tutorial by Examples: b

To enable a CORS policy across all of your MVC controllers you have to build the policy in the AddCors extension within the ConfigureServices method and then set the policy on the CorsAuthorizationFilterFactory using Microsoft.AspNetCore.Mvc; using Microsoft.AspNetCore.Mvc.Cors.Internal; ... pub...
When publishing Sitecore item programmatically the developer should keep in mind that Sitecore could be configured for several publishing targets, as well that several languages could be defined for item. ID targetDatabaseFieldId = ID.Parse("{39ECFD90-55D2-49D8-B513-99D15573DE41}"); ...
Assuming you know the productID: First import StoreKit Then in your code let productID: Set = ["premium"] let request = SKProductsRequest(productIdentifiers: productID) request.delegate = self request.start() and in the SKProductsRequestDelegate: func productsRequest(request: ...
package com.mcf7.spring.domain; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.GenerationType; import javax.persistence.Id; import javax.validation.constraints.NotNull; import javax.validation.constraints.Size; import java.io.Serializable;...
package com.mcf7.spring.domain; import org.springframework.data.repository.PagingAndSortingRepository; public interface BookRepository extends PagingAndSortingRepository<Book, Long> { } Basic Spring Repository pattern, except we enabled a Paging and Sorting Repository for extra featu...
package com.mcf7.spring.domain; import org.springframework.validation.Errors; import org.springframework.validation.Validator; public class BeforeCreateBookValidator implements Validator{ public boolean supports(Class<?> clazz) { return Book.class.equals(clazz); } ...
buildscript { repositories { jcenter() } dependencies { classpath 'io.spring.gradle:dependency-management-plugin:0.5.4.RELEASE' } } apply plugin: 'io.spring.dependency-management' apply plugin: 'idea' apply plugin: 'java' dependencyManagement { imp...
int get_l2cap_connection () { First off, all the variables we need, explanation for will follow at the appropriate spot. int ssock = 0; int csock = 0; int reuse_addr = 1; struct sockaddr_l2 src_addr; struct bt_security bt_sec; int result = 0; First, we need to cre...
set mouse=a This will enable mouse interaction in the vim editor. The mouse can change the current cursor's position select text
The most basic application of add_action() is to add custom code to be executed at a certain location in a WordPress installation's source-code - either using actions supplied by the Core of WordPress, or ones created by third-party code such as plugins and themes. To add content to the <head&g...
PHP Classes are powerful tool for improving code organization and minimizing naming collisions. At some point or another, the question of how to create an action hook for a class method inevitably arises. The $function_to_add argument is often shown as a string containing the function's name, howev...
Image img = new Image(); BitmapImage bitmap = new BitmapImage(new Uri("ms-appx:///Path-to-image-in-solution-directory", UriKind.Absolute)); img.Source = bitmap;
public override async void ViewDidLoad(){ base.ViewDidLoad(); // Perform any additional setup after loading the view, typically from a nib. Title = "Pull to Refresh Sample"; table = new UITableView(new CGRect(0, 20, View.Bounds.Width, View.Bounds.Height - 20)); //table.Aut...
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...
By selecting a matrix and choosing "Insert Table" from the menu, you create a table which allows you to pull and insert data in a structured way. Let's say you have named the table "SalesEvents" and given that the first (header) row reads "Salesperson" "Date" ...
When you have an Excel Table, and not only then, it is easy to use data as input in a PivotTable which will provide most of the analysis you would need on it. Learn to use it you won't regret it! It could replaces tons of user designed cell Formulas and it is fast and much easier to document.
Sometimes it is hard to make all the data of your Pivot Table confirm to the reporting format you have to present your crunched data into. Then use GetPivotData! It has an automatic fill in of arguments that you easy can learn from and it lets you through its parameters flexibly choose and pick from...

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