err := gcs.client.Bucket(gcs.Bucket).Object(gcs.getDest(key)).Delete(ctx)
	return gcsToObjectError(err, gcs.Bucket, key)
}

func (gcs *warmBackendGCS) InUse(ctx context.Context) (bool, error) {
	it := gcs.client.Bucket(gcs.Bucket).Objects(ctx, &storage.Query{
		Delimiter: "/",
		Prefix:    gcs.Prefix,
		Versions:  false,
	})
	pager := iterator.NewPager(it, 1, "")

///

## Conversion des types des paramètres de requête

Vous pouvez aussi déclarer des paramètres de requête comme booléens (`bool`), **FastAPI** les convertira :

{* ../../docs_src/query_params/tutorial003.py hl[9] *}

Avec ce code, en allant sur :

```
http://127.0.0.1:8000/items/foo?short=1
```

ou

```

	// STS Router
	stsRouter := router.NewRoute().PathPrefix(SlashSeparator).Subrouter()

	// Assume roles with no JWT, handles AssumeRole.
	stsRouter.Methods(http.MethodPost).MatcherFunc(func(r *http.Request, rm *mux.RouteMatch) bool {
		ctypeOk := wildcard.MatchSimple("application/x-www-form-urlencoded*", r.Header.Get(xhttp.ContentType))
		authOk := wildcard.MatchSimple(signV4Algorithm+"*", r.Header.Get(xhttp.Authorization))

Os parâmetros da função serão reconhecidos conforme abaixo:

* Se o parâmetro também é declarado na **rota**, será utilizado como um parâmetro de rota.
* Se o parâmetro é de um **tipo único** (como `int`, `float`, `str`, `bool`, etc) será interpretado como um parâmetro de **consulta**.
* Se o parâmetro é declarado como um **modelo Pydantic**, será interpretado como o **corpo** da requisição.

/// note | Observação

Вы можете использовать в аннотациях как простые типы данных, вроде `str`, `float`, `bool`, так и более сложные типы.

Некоторые из них рассматриваются в следующих главах данного руководства.

## Порядок имеет значение

Sie können für Typ Deklarationen auch `str`, `float`, `bool` und viele andere komplexe Datentypen verwenden.

Mehrere davon werden wir in den nächsten Kapiteln erkunden.

## Die Reihenfolge ist wichtig

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

	traceAllFlag

	// pass this flag to skip checking if object layer is available
	noObjLayerFlag
)

// Has checks if the given flag is enabled in `h`.
func (h hFlag) Has(flag hFlag) bool {
	// Use bitwise-AND and check if the result is non-zero.
	return h&flag != 0
}

// adminMiddleware performs some common admin handler functionality for all
// handlers:
//

              const std::vector<TF_Operation*>& inputs,
              const std::vector<TF_Operation*>& outputs,
              const std::vector<string>& output_names,
              bool expect_failure = false) {
    DefineT(num_opers, opers, ToOutput(inputs), ToOutput(outputs), output_names,
            expect_failure);
  }

  // Caller must delete[] the returned value