@app.get("/list", response_model=List[Model], response_model_by_alias=False)
def read_list():
    return [{"alias": "Foo"}, {"alias": "Bar"}]


@app.get("/by-alias/dict", response_model=Model)
def by_alias_dict():
    return {"alias": "Foo"}


@app.get("/by-alias/model", response_model=Model)
def by_alias_model():
    return Model(alias="Foo")


@app.get("/by-alias/list", response_model=List[Model])
def by_alias_list():

Entonces el sistema / programa 🤖 volverá cada vez que pueda, sea porque está esperando otra vez, porque 🤖 ha terminado todo el trabajo que tenía en ese momento. Y 🤖 verá si alguna de las tareas por las que estaba esperando ha terminado, haciendo lo que tenía que hacer.

Luego, 🤖 cogerá la primera tarea finalizada (digamos, nuestro "archivo lento" 📝) y continuará con lo que tenía que hacer con esa tarea.

            default=default,
            default_factory=default_factory,
            annotation=annotation,
            alias=alias,
            alias_priority=alias_priority,
            validation_alias=validation_alias,
            serialization_alias=serialization_alias,
            title=title,
            description=description,
            gt=gt,
            ge=ge,
            lt=lt,

            """
        ),
    ] = None,
    by_alias: Annotated[
        bool,
        Doc(
            """
            Pydantic's `by_alias` parameter, passed to Pydantic models to define if
            the output should use the alias names (when provided) or the Python
            attribute names. In an API, if you set an alias, it's probably because you

    schema_: Optional[str] = Field(default=None, alias="$schema")
    vocabulary: Optional[str] = Field(default=None, alias="$vocabulary")
    id: Optional[str] = Field(default=None, alias="$id")
    anchor: Optional[str] = Field(default=None, alias="$anchor")
    dynamicAnchor: Optional[str] = Field(default=None, alias="$dynamicAnchor")
    ref: Optional[str] = Field(default=None, alias="$ref")

to adjust the `max_sleep` and `max_io` values thereby increasing the healing speed. The delays between each operation of the healer can be adjusted by the `mc admin config set alias/ heal max_sleep=1s` and maximum concurrent requests allowed before we start slowing things down can be configured with `mc admin config set alias/ heal max_io=30` . By default the wait delay is `250ms` beyond 100 concurrent operations. This means the healer will sleep *250 milliseconds* at max for each heal operation if...

Le nom le plus proche serait `item_query`.

Mais vous avez vraiment envie que ce soit exactement `item-query`...

Pour cela vous pouvez déclarer un `alias`, et cet alias est ce qui sera utilisé pour trouver la valeur du paramètre :

```Python hl_lines="9"
{!../../../docs_src/query_params_str_validations/tutorial009.py!}
```

## Déprécier des paramètres

// distinct type, however, and not an alias for, say, int32.
type int int

// uint is an unsigned integer type that is at least 32 bits in size. It is a
// distinct type, however, and not an alias for, say, uint32.
type uint uint

// uintptr is an integer type that is large enough to hold the bit pattern of
// any pointer.
type uintptr uintptr

// byte is an alias for uint8 and is equivalent to uint8 in all ways. It is

    @dataclass
    class ModelField:
        field_info: FieldInfo
        name: str
        mode: Literal["validation", "serialization"] = "validation"

        @property
        def alias(self) -> str:
            a = self.field_info.alias
            return a if a is not None else self.name

        @property
        def required(self) -> bool:
            return self.field_info.is_required()

        @property

		return v, nil
	}
	return nil, errArithMismatchedTypes
}

func (e *JSONPath) evalNode(r Record, tableAlias string) (*Value, error) {
	alias := tableAlias
	if tableAlias == "" {
		alias = baseTableName
	}
	pathExpr := e.StripTableAlias(alias)
	_, rawVal := r.Raw()
	switch rowVal := rawVal.(type) {
	case jstream.KVS, simdjson.Object:
		if len(pathExpr) == 0 {