En particulier, on voit Uvicorn, Starlette et FastAPI comparés (parmi de nombreux autres outils).

Plus le problème résolu par un outil est simple, mieux seront les performances obtenues. Et la plupart des tests de performance ne prennent pas en compte les fonctionnalités additionnelles fournies par les outils.

La hiérarchie est la suivante :

Özellikle, (diğer birçok araç arasında) Uvicorn, Starlette ve FastAPI'ın birlikte karşılaştırıldığını görebilirsiniz.

Aracın çözdüğü problem ne kadar basitse, performansı o kadar iyi olacaktır. Ancak kıyaslamaların çoğu, aracın sağladığı ek özellikleri test etmez.

Hiyerarşi şöyledir:

* **Uvicorn**: bir ASGI sunucusu

                        needsInlining(session).addAll(usedProperties);
                    }
                }
            } catch (XMLStreamException e) {
                throw new IOException("Problem during inlining POM", e);
            }
        }
    }

Estos detalles son útiles principalmente si tenías una aplicación de FastAPI anterior a la 0.121.0 y estás enfrentando problemas con dependencias con `yield`.

///

Las dependencias con `yield` han evolucionado con el tiempo para cubrir diferentes casos de uso y arreglar algunos problemas; aquí tienes un resumen de lo que ha cambiado.

### Dependencias con `yield` y `scope` { #dependencies-with-yield-and-scope }

    required: true

-   type: textarea id: code-to-reproduce attributes: label: Standalone code to
    reproduce the issue description: Provide a reproducible test case that is
    the bare minimum necessary to generate the problem. If possible, please
    share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you
    see! value: render: shell validations: required: true

Y si tu servidor remoto o máquina virtual solo tiene 3 GB de RAM, intentar cargar más de 4 GB de RAM causará problemas. 🚨

### Múltiples Procesos - Un Ejemplo { #multiple-processes-an-example }

En este ejemplo, hay un **Proceso Administrador** que inicia y controla dos **Worker Processes**.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

### 5. (optional) Any other info / logs

* Prüfen Sie, ob in der Übersetzung alles in Ordnung ist.
* Verbessern Sie bei Bedarf Ihren sprachsspezifischen Prompt, den allgemeinen Prompt oder das englische Dokument.
* Beheben Sie anschließend manuell die verbleibenden Probleme in der Übersetzung, sodass es eine gute Übersetzung ist.

  traversing an object graph and extracting Object values, not just Strings.

* ComponentConfigurator

  Currently, the container uses BasicComponentConfigurator, to configure
  components. This wouldn't be a problem, except for the local instance of
  DefaultExpressionEvaluator used within. See the above discussion for more
  on why this evaluator is bad. We need to provide either an alternative

   * insists upon doing. It then runs the test, which behaves exactly like this package's existing
   * PackageSanityTests. (The test would run on the JVM, too, if not for the suppression below, and
   * that would be a problem because it violates small-test rules. Note that we strip the
   * suppression externally, but it's OK because we don't enforce test-size rules there.)
   *