annotated with @Provides but uses wrong naming" description="A service-providing method is annotated with `@Provides`, but its name does not start with 'create' or 'decorate', or is not 'configure'" suppressId="annotated_not_service_providing" problemDescriptor="Method is annotated with @Provides, but its name does not start with 'create' or 'decorate'" text="class $Class$ implements $Base$ {
    @$Annotation$
    @Modifier("Instance") $ReturnType$ $Method$ ($ParameterType$ $Parameter$);
}"...

  interface Backend {
    fun nanoTime(): Long

    fun coordinatorNotify(taskRunner: TaskRunner)

    fun coordinatorWait(
      taskRunner: TaskRunner,
      nanos: Long,
    )

    fun <T> decorate(queue: BlockingQueue<T>): BlockingQueue<T>

    fun execute(
      taskRunner: TaskRunner,
      runnable: Runnable,
    )
  }

  class RealBackend(
    threadFactory: ThreadFactory,

          if (waitingCoordinatorInterrupted) {
            waitingCoordinatorInterrupted = false
            throw InterruptedException()
          }
        }

        override fun <T> decorate(queue: BlockingQueue<T>) = TaskFakerBlockingQueue(queue)
      },
      logger = logger,
    )

  /** Runs all tasks that are ready. Used by the test thread only. */
  fun runTasks() {

   * right before each task is run. The renaming is best effort, if a {@link SecurityManager}
   * prevents the renaming then it will be skipped but the tasks will still execute.
   *
   * @param executor The executor to decorate
   * @param nameSupplier The source of names for each task
   */
  @J2ktIncompatible
  @GwtIncompatible // concurrency
  static Executor renamingDecorator(Executor executor, Supplier<String> nameSupplier) {

* [`@contextlib.asynccontextmanager`](https://docs.python.org/3/library/contextlib.html#contextlib.asynccontextmanager)

using them to decorate a function with a single `yield`.

That's what **FastAPI** uses internally for dependencies with `yield`.

But you don't have to use the decorators for FastAPI dependencies (and you shouldn't).

                    .get());
            options.addOption(Option.builder()
                    .longOpt(RAW_STREAMS)
                    .desc("Do not decorate standard output and error streams")
                    .get());
            options.addOption(Option.builder(SHOW_VERSION)
                    .longOpt("show-version")

* [`@contextlib.asynccontextmanager`](https://docs.python.org/3/library/contextlib.html#contextlib.asynccontextmanager)

Bunları, tek bir `yield` içeren bir fonksiyonu decorate etmek için kullanabilirsiniz.

FastAPI, `yield` kullanan dependency'ler için içeride bunu yapar.

Ancak FastAPI dependency'leri için bu decorator'ları kullanmak zorunda değilsiniz (hatta kullanmamalısınız).

/// info | `@decorator` Info

Cette syntaxe `@something` en Python est appelée un « décorateur ».

Vous la mettez au-dessus d’une fonction. Comme un joli chapeau décoratif (j’imagine que c’est de là que vient le terme 🤷🏻‍♂).

Un « décorateur » prend la fonction en dessous et fait quelque chose avec.

   * all values for the key are removed, the key and collection are removed
   * from the map.
   *
   * The get method returns a WrappedCollection, which decorates the collection
   * in the map (if the key is present) or an empty collection (if the key is
   * not present). When the collection delegate in the WrappedCollection is

You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).

A "decorator" takes the function below and does something with it.

In our case, this decorator tells **FastAPI** that the function below corresponds to the **path** `/` with an **operation** `get`.

It is the "**path operation decorator**".

///

You can also use the other operations: