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Async methods usually return either void, Task, Task<T>, [13]: 35 [16]: 546–547 [1]: 22, 182 ValueTask or ValueTask<T>. [ 13 ] : 651–652 [ 1 ] : 182–184 User code can define custom types that async methods can return through custom async method builders but this is an advanced and rare scenario. [ 17 ]
Asynchronous Tasks can be awaited in the Main method by declaring the method's return type as Task. static async Task Main ( string [] args ) { await DoWorkAsync ( 42 ); } All the combinations of Task , or Task<int>, and with, or without, the string[] args parameter are supported.
class MyClass {private double val = 0.0; void doSomething {val = 1.0;} void doSomethingElse {val = 2.0;}} The class is dangerous in a multithreading scenario because both methods can be called simultaneously, so the value of val (which is not atomic—it's updated in multiple steps) could be undefined—a classic race condition.
C# (/ ˌ s iː ˈ ʃ ɑːr p / see SHARP) [b] is a general-purpose high-level programming language supporting multiple paradigms.C# encompasses static typing, [16]: 4 strong typing, lexically scoped, imperative, declarative, functional, generic, [16]: 22 object-oriented (class-based), and component-oriented programming disciplines.
In multithreaded computer programming, asynchronous method invocation (AMI), also known as asynchronous method calls or the asynchronous pattern is a design pattern in which the call site is not blocked while waiting for the called code to finish. Instead, the calling thread is notified when the reply arrives.
In .NET System.Threading.Tasks.Task<T> represents a read-only view. Resolving the value can be done via System.Threading.Tasks.TaskCompletionSource<T>. Support for read-only views is consistent with the principle of least privilege, since it enables the ability to set the value to be restricted to subjects that need to set it. In a system that ...
In computer programming, lazy initialization is the tactic of delaying the creation of an object, the calculation of a value, or some other expensive process until the first time it is needed.
Concurrent computations may be executed in parallel, [3] [6] for example, by assigning each process to a separate processor or processor core, or distributing a computation across a network. The exact timing of when tasks in a concurrent system are executed depends on the scheduling, and tasks need not