//          automatic skipping of dummy input operations is performed.
//  ninputs - number of elements in `inputs` array
//  inputs - array of TF_Outputs that specify the inputs to the function.
//           If `ninputs` is zero (the function takes no inputs), `inputs`
//           can be null. The names used for function inputs are normalized

participant code as Code
participant function as say_hi()
participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: return stored result
    end

      implements Serializable {
    private final Function<? super A, ? extends B> forwardFunction;
    private final Function<? super B, ? extends A> backwardFunction;

    private FunctionBasedConverter(
        Function<? super A, ? extends B> forwardFunction,
        Function<? super B, ? extends A> backwardFunction) {
      this.forwardFunction = checkNotNull(forwardFunction);

   * correctly requests of varying weight (permits), /no matter/ what the actual function is - so we
   * can tweak the latter freely. (The only requirement, obviously, is that we can compute its
   * integrals).
   *
   * Note well that if, for this function, we chose a horizontal line, at height of exactly (1/QPS),

Önce `BackgroundTasks`’i import edin ve *path operation function*’ınızda `BackgroundTasks` tip bildirimi olan bir parametre tanımlayın:

{* ../../docs_src/background_tasks/tutorial001_py310.py hl[1,13] *}

**FastAPI**, sizin için `BackgroundTasks` tipinde bir obje oluşturur ve onu ilgili parametre olarak geçirir.

## Bir Görev Fonksiyonu Oluşturun { #create-a-task-function }

Arka plan görevi olarak çalıştırılacak bir fonksiyon oluşturun.

 *  @website http://formvalidator.net/
 *  @author Victor Jonsson, http://victorjonsson.se
 *  @license MIT
 */

  /**
   * Returns a cache loader that uses {@code function} to load keys, and without supporting either
   * reloading or bulk loading. This is most useful when you can pass a lambda expression. Otherwise
   * it is useful mostly when you already have an existing function instance.
   *
   * <p>The returned object is serializable if {@code function} is serializable.
   *

  }

  /**
   * Returns a cache loader that uses {@code function} to load keys, without supporting either
   * reloading or bulk loading. This allows creating a cache loader using a lambda expression.
   *
   * <p>The returned object is serializable if {@code function} is serializable.
   *
   * @param function the function to be used for loading values; must never return {@code null}

      return delegate;
    }
  }

  private static String encode(String str) {
    return BaseEncoding.base64().encode(str.getBytes(UTF_8));
  }

  private static final Function<String, String> DECODE_FUNCTION =
      new Function<String, String>() {
        @Override
        public String apply(String input) {
          return new String(BaseEncoding.base64().decode(input), UTF_8);
        }
      };

sequenceDiagram

participant code as Código
participant function as say_hi()
participant execute as Ejecutar función

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: ejecutar código de la función
        execute ->> code: devolver el resultado
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")