* FeatureSpecificTestSuiteBuilder.suppressing()}.
   */
  /*
   * TODO(cpovirk): or we could make HOLES_FORBIDDEN a feature. Or we could declare that
   * implementations are permitted to throw IAE if a hole is requested, and we could update
   * test*Hole to permit IAE. (But might this ignore genuine bugs?) But see the TODO above

<abbr title="too long; didn't read"><strong>TL;DR:</strong></abbr>

If you are using third party libraries that tell you to call them with `await`, like:

```Python
results = await some_library()
```

Then, declare your *path operation functions* with `async def` like:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note

## Listen mit Typ-Parametern als Felder { #list-fields-with-type-parameter }

Aber Python erlaubt es, Listen mit inneren Typen, auch „Typ-Parameter“ genannt, zu deklarieren.

### Eine `list` mit einem Typ-Parameter deklarieren { #declare-a-list-with-a-type-parameter }

Um Typen zu deklarieren, die Typ-Parameter (innere Typen) haben, wie `list`, `dict`, `tuple`, übergeben Sie den/die inneren Typ(en) als „Typ-Parameter“ in eckigen Klammern: `[` und `]`

```Python

Escribes Python estándar con tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str

In this case, the list would have to include `http://localhost:8080` for the `:8080`-frontend to work correctly.

## Wildcards { #wildcards }

It's also possible to declare the list as `"*"` (a "wildcard") to say that all are allowed.

  }

  /**
   * Compares two comparable objects as specified by {@link Comparable#compareTo}, <i>if</i> the
   * result of this comparison chain has not already been determined.
   *
   * <p>This method is declared to accept any 2 {@code Comparable} objects, even if they are not <a
   * href="https://docs.oracle.com/javase/tutorial/collections/interfaces/order.html">mutually

                if (validationReportLevel == ValidationReportLevel.VERBOSE) {
                    if (!issues.pluginDeclarations.isEmpty()) {
                        logger.warn("  Declared at location(s):");
                        for (String pluginDeclaration : issues.pluginDeclarations) {
                            logger.warn("   * {}", pluginDeclaration);
                        }
                    }

Si no se especifica y la dependencia tiene `yield`, tendrá un `scope` de `"request"` por defecto.

### `scope` para sub-dependencias { #scope-for-sub-dependencies }

Cuando declaras una dependencia con `scope="request"` (el valor por defecto), cualquier sub-dependencia también necesita tener un `scope` de `"request"`.

Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).

### Use the `settings` { #use-the-settings }

Then you can use the new `settings` object in your application:

{* ../../docs_src/settings/tutorial001_py39.py hl[18:20] *}

![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)

## Evoluindo o Exemplo { #example-upgrade }

Agora modifique o arquivo `main.py` para receber um corpo para uma requisição `PUT`.

Declare o corpo utilizando tipos padrão Python, graças ao Pydantic.

```Python hl_lines="4  9-12  25-27"
from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()