Tutorial by Examples: p

Sometimes it's really useful to know the type of child component when iterating through them. In order to iterate through the children components you can use React Children.map util function: React.Children.map(this.props.children, (child) => { if (child.type === MyComponentType) { ......

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; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @SpringBootApplication public class SpringDataMicroServiceApplication { public static void main(String[] args) { SpringApplication....

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...

Usually, J and K move up and down file lines. But when you have wrapping on, you may want them to move up and down the displayed lines instead. set wrap " if you haven't already set it nmap j gj nmap k gk

Any number of functions may be "hooked" to any given action. In some instances it is important for a hooked function to execute before or after others, which is where the third parameter to add_action(), $priority comes into play. If the $priority argument is omitted, the function will be...

Monkey patching's main issue is that it pollutes the global scope. Your code working is at the mercy of all the modules you use not stepping on each others toes. The Ruby solution to this is refinements, which are basically monkey patches in a limited scope. module Patches refine Fixnum do ...

Image img = new Image(); BitmapImage bitmap = new BitmapImage(new Uri("ms-appx:///Path-to-image-in-solution-directory", UriKind.Absolute)); img.Source = bitmap;

drop table table01; drop table table02; create table table01 ( code int, name varchar(50), old int ); create table table02 ( code int, name varchar(50), old int ); truncate table table01; insert into table01 values (1, 'A', 10); insert in...

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...

That the easiest case actually, very natural in the React world and the chances are - you are already using it. You can pass props down to child components. In this example message is the prop that we pass down to the child component, the name message is chosen arbitrarily, you can name it anything...

Go to Catalog > Filters and select Insert to create a filter group. Assign a filter group name (e.g. Color) and add filter name values (e.g. Blue, Red, Yellow).

Go to Catalog > Products and Edit a product. Under the Links tab add the filters which apply to the product (e.g. Color > Blue). Apply to as many products as applicable.

Go to Design > Layout > Edit Category Page and Set whatever position and sort order you would like. and then save.