Tutorial by Examples: alle

Type below command: instmodsh It'll show you the guild as below: Available commands are: l - List all installed modules m <module> - Select a module q - Quit the program cmd? Then type l to list all the installed modules, you can also use command m &l...
By default, Jsoup will display only block-level elements with a trailing line break. Inline elements are displayed without a line break. Given a body fragment, with inline elements: <select name="menu"> <option value="foo">foo</option> <option va...
The following statement will create a new table called employee: CREATE TABLE EMPLOYEE ( EMPNO CHAR(6) NOT NULL, FIRSTNME VARCHAR(12) NOT NULL, LASTNAME VARCHAR(15) NOT NULL, SALARY DECIMAL(9,2) , PRIMARY KEY (EMPNO) ...
#include <omp.h> #include <stdio.h> int main (int argc, char *argv[]) { #pragma omp parallel { printf ("Hello world! I'm thread %d out of %d threads.\n", omp_get_thread_num(), omp_get_num_threads()); } return 0; } This code simply ...
(Access Code)[https://github.com/vDoers/vDoersCameraAccess]
Installers are custom types that implement the IWindsorInstaller interface and are used to register Components to the container, using the fluent registration API. public class MyInstaller : IWindsorInstaller { public void Install(IWindsorContainer container, IConfigurationStore store) {...
To track so called "virtual pageviews", use the ga('send') method right after your asynchronous request: Syntax: ga('send', 'pageview', 'path to your virtual page'); Example (Simple Link): <a href="http://example.com/my.pdf" onClick="ga('send', 'pageview', '/virtu...
Parallel GC is Stop-The-World (STW) collector which stop all the application threads when running the garbage collector. When Parallel GC was introduced it was only enabled the parallel GC in young generation collector and OldGeneration Collector was single thread stop-the-world collector, but late...
Start from a Cython program with a entrypoint: def do_stuff(): cdef int a,b,c a = 1 b = 2 c = 3 print("Hello World!") print([a,b,c]) input("Press Enter to continue.") Create a setup.py file in the same folder: from distutils.core import set...
Imagine the following XML: <root> <element foobar="hello_world" /> <element example="this is one!" /> </root> /root/element[@foobar] and will return the <element foobar="hello_world" /> element.
Imagine the following XML: <root> <element foobar="hello_world" /> <element example="this is one!" /> </root> The following XPath expression: /root/element[@foobar = 'hello_world'] will return the <element foobar="hello_world&quo...
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...
Label label = new Label { Text = "text" }; if(Device.OS == TargetPlatform.iOS) { label.FontSize = label.FontSize - 2; }
To view all elements in the index change the print options that “sparsifies” the display of the MultiIndex. pd.set_option('display.multi_sparse', False) df.groupby(['A','B']).mean() # Output: # C # A B # a 1 107 # a 2 102 # a 3 115 # b 5 92 # b 8 98 # c 2 87 # c 4 104 #...

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