bindScope(injector, containerProvider, MojoExecutionScoped.class, MojoExecutionScope.class);
        injector.bindInstance(Injector.class, injector);
        bind(Injector.class).toInstance(injector);
        bind(SisuDiBridgeModule.class).toInstance(this);
        ClassLoader classLoader = Thread.currentThread().getContextClassLoader();
        if (classLoader == null) {
            classLoader = getClass().getClassLoader();
        }

            sqlalchemy_safe=sqlalchemy_safe,
        )
    if isinstance(obj, Enum):
        return obj.value
    if isinstance(obj, PurePath):
        return str(obj)
    if isinstance(obj, (str, int, float, type(None))):
        return obj
    if isinstance(obj, PydanticUndefinedType):
        return None
    if isinstance(obj, dict):
        encoded_dict = {}
        allowed_keys = set(obj.keys())

        "/wrapped-class-instance-dependency/",
        "/wrapped-class-instance-async-dependency/",
        "/wrapped-class-instance-gen-dependency/",
        "/wrapped-class-instance-async-gen-dependency/",
        "/class-instance-wrapped-dependency/",
        "/class-instance-wrapped-async-dependency/",
        "/class-instance-async-wrapped-dependency/",
        "/class-instance-async-wrapped-async-dependency/",

     */
    boolean embedded();

    /**
     * Creates a new Builder instance for constructing a Maven ParserRequest.
     *
     * @param args the command-line arguments
     * @param messageBuilderFactory the factory for creating message builders
     * @return a new Builder instance
     */
    @Nonnull

			Help:    "Time taken by requests served by current MinIO server instance",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance per bucket",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},

    /**
     * Creates a new XmlNode instance with the specified name.
     *
     * @param name the name for the new node
     * @return a new XmlNode instance
     * @throws NullPointerException if name is null
     */
    static XmlNode newInstance(String name) {
        return newBuilder().name(name).build();
    }

    /**
     * Creates a new XmlNode instance with the specified name and value.
     *

    callback_flat_models: list[ModelField] = []
    for route in routes:
        if getattr(route, "include_in_schema", None) and isinstance(
            route, routing.APIRoute
        ):
            if route.body_field:
                assert isinstance(route.body_field, ModelField), (
                    "A request body must be a Pydantic Field"
                )

## Crear una instance { #create-an-instance }

Podríamos crear una instance de esta clase con:

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[18] *}

Y de esa manera podemos "parametrizar" nuestra dependencia, que ahora tiene `"bar"` dentro de ella, como el atributo `checker.fixed_content`.

## Usar la instance como una dependencia { #use-the-instance-as-a-dependency }

            value = schema["$ref"]
            if isinstance(value, str):
                ref_name = schema["$ref"].split("/")[-1]
                if ref_name in old_name_to_new_name_map:
                    new_name = old_name_to_new_name_map[ref_name]
                    new_schema["$ref"] = REF_TEMPLATE.format(model=new_name)
            continue
        if isinstance(value, dict):
            new_schema[key] = _replace_refs(

    }

    /**
     * Serialize the inbound Model instance to a StringWriter, perform the regex replacement to resolve
     * POM expressions, then re-parse into the resolved Model instance.
     * <p>
     * <b>NOTE:</b> This will result in a different instance of Model being returned!!!
     *
     * @param model The inbound Model instance, to serialize and reference for expression resolution