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Component import {Component, OnInit} from '@angular/core'; import { FormGroup, FormControl, FORM_DIRECTIVES, REACTIVE_FORM_DIRECTIVES, Validators, FormBuilder, FormArray } from "@angular/forms"; import {Control} from "@angular/common"; ...

Through this example, it will be explained to divide the node.js code into different modules/folders for better undertandibility. Following this technique makes it easier for other developers to understand the code as he can directly refer to concerned file instead of going through whole code. The m...

OpenCL is low level api so it must be implemented in "C space" first. For that, one needs to download header files from Khronos' site. My hardware is AMD and capable of version 1.2, downloading opencl.h cl_platform.h cl.h cl_ext.h cl_egl.h cl_dx9_media_sharing.h cl_d3d10.h c...

XML <Dashavatar> <Avatar name="Matsya"/> <Avatar name="Kurma"/> <Avatar name="Varaha"/> <Avatar name="Narasimha"/> <Avatar name="Vamana"/> <Avatar name="Balabhadra"/> ...

When you are getting started with ElasticSearch (ES) it might be good to have a graphical tool that helps you explore your data. A plugin called elasticsearch-head does just that. To install it, do the following: Find out in which folder ES is installed: ls -l $(which elasticsearch) cd into this...

FOR XML PATH and STUFF to concatenate the multiple rows into a single row: select distinct t1.id, STUFF( (SELECT ', ' + convert(varchar(10), t2.date, 120) FROM yourtable t2 where t1.id = t2.id FOR XML PATH ('')) , 1,...

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To set a custom row height, override UITableViewSource.GetHeightForRow(UITableView,NSIndexPath): public class ColorTableDataSource : UITableViewSource { List<DomainClass> Model { get; set; } public override nfloat GetHeightForRow(UITableView tableView, NSIndexPath indexPath) ...

#!/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...

/// <summary> /// Overrides the onDisconnected function and sets the user object to offline, this can be checked when other players interacts with them... /// </summary> /// <param name="stopCalled"></param> /// <returns></returns&gt...

The following configuration can be used as a base config for bundling up your project as a library. Notice how the module config contains a list of preLoaders and loaders. // webpack.config.js var path = require('path'); module.exports = { entry: path.join(__dirname, '..', 'src/index.js...

For multiple databases, you have the database.php file where you can set as many databases as you need. If you want to "switch" a database for a specific model on the fly, use the setDataSource() method. For example, if you have two databases, you can define them in the database.php file...

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...

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: ...

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...