return PerformanceTestsPass(model, performanceTestProject).also(this::buildType)
    }

    private fun createPerformancePartialTrigger(
        model: CIBuildModel,
        stage: Stage,
    ): PartialTrigger<PerformanceTestsPass> {
        val performancePartialTrigger =
            PartialTrigger(
                "All Performance Tests for ${stage.stageName.stageName}",

  /**
   * Add {@code node} as a predecessor to the origin node. In the case of an undirected graph, it
   * also becomes a successor. Associates {@code value} with the edge connecting the two nodes.
   */
  void addPredecessor(N node, V value);

  /**
   * Add {@code node} as a successor to the origin node. In the case of an undirected graph, it also
   * becomes a predecessor. Associates {@code value} with the edge connecting the two nodes. Returns

For example, let's say that you want to have a *path operation* that allows to update items, and returns HTTP status codes of 200 "OK" when successful.

But you also want it to accept new items. And when the items didn't exist before, it creates them, and returns an HTTP status code of 201 "Created".

    * Das generierte Schema wird anzeigen, dass es sich um einen `str` mit `binary` „Format“ handelt.
* `Decimal`:
    * Standard-Python-`Decimal`.
    * In Requests und Responses wird es wie ein `float` behandelt.
* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic-Datentypen</a>.

## Beispiel { #example }

The OpenAPI schema is what powers the two interactive documentation systems included.

And there are dozens of alternatives, all based on OpenAPI. You could easily add any of those alternatives to your application built with **FastAPI**.

You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications.

# Environment Variables { #environment-variables }

/// tip

If you already know what "environment variables" are and how to use them, feel free to skip this.

///

An environment variable (also known as "**env var**") is a variable that lives **outside** of the Python code, in the **operating system**, and could be read by your Python code (or by other programs as well).

        You can use [the template](https://github.com/gradle/gradle-issue-reproducer) with a Gradle GitHub action set up to showcase your problem.
        In the rare cases where this is infeasible, we will also accept a detailed set of instructions.
        You can also use [Gradle Project Replicator](https://github.com/android/project-replicator) to reproduce the structure of your project.
    validations:
      required: true
  - type: input

MINIO_IDENTITY_LDAP_TLS_SKIP_VERIFY         (on|off)    trust server TLS without verification (default: 'off')
MINIO_IDENTITY_LDAP_SERVER_INSECURE         (on|off)    allow plain text connection to AD/LDAP server (default: 'off')
MINIO_IDENTITY_LDAP_SERVER_STARTTLS         (on|off)    use StartTLS connection to AD/LDAP server (default: 'off')

# Codificador compatible con JSON { #json-compatible-encoder }

Hay algunos casos en los que podrías necesitar convertir un tipo de dato (como un modelo de Pydantic) a algo compatible con JSON (como un `dict`, `list`, etc).

Por ejemplo, si necesitas almacenarlo en una base de datos.

Para eso, **FastAPI** proporciona una función `jsonable_encoder()`.

## Usando el `jsonable_encoder` { #using-the-jsonable-encoder }

    allow_inf_nan: Annotated[
        Union[bool, None],
        Doc(
            """
            Allow `inf`, `-inf`, `nan`. Only applicable to numbers.
            """
        ),
    ] = _Unset,
    max_digits: Annotated[
        Union[int, None],
        Doc(
            """
            Maximum number of allow digits for strings.
            """
        ),
    ] = _Unset,
    decimal_places: Annotated[