flag.StringVar(&token, "t", "", "Token to use with AssumeRoleWithCustomToken STS API (required)")
	flag.StringVar(&roleArn, "r", "", "RoleARN to use with the request (required)")
	flag.BoolVar(&displayCreds, "d", false, "Only show generated credentials")
	flag.DurationVar(&expiryDuration, "e", 0, "Request a duration of validity for the generated credential")
	flag.StringVar(&bucketToList, "b", "mybucket", "Bucket to list (defaults to mybucket)")
}

	"io"
	"math"
)

// MonitoredReader represents a throttled reader subject to bandwidth monitoring
type MonitoredReader struct {
	r        io.Reader
	throttle *bucketThrottle
	ctx      context.Context // request context
	lastErr  error           // last error reported, if this non-nil all reads will fail.
	m        *Monitor
	opts     *MonitorReaderOptions
}

// This operation uses the ACL subresource
// to set ACL for a bucket, this is a dummy call
// only responds success if the ACL is private.
func (api objectAPIHandlers) PutBucketACLHandler(w http.ResponseWriter, r *http.Request) {
	ctx := newContext(r, w, "PutBucketACL")

	defer logger.AuditLog(ctx, w, r, mustGetClaimsFromToken(r))

	vars := mux.Vars(r)
	bucket := vars["bucket"]

	objAPI := api.ObjectAPI()
	if objAPI == nil {

Die gleichen Modelle werden von den Requests gemeinsam genutzt, es handelt sich also nicht um ein Modell pro Request, pro Benutzer, oder ähnliches.

Stellen wir uns vor, dass das Laden des Modells **eine ganze Weile dauern** kann, da viele **Daten von der Festplatte** gelesen werden müssen. Sie möchten das also nicht für jeden Request tun.

```

/// note | Detalhes Técnicos

Você também pode usar `from starlette.requests import Request` e `from starlette.responses import JSONResponse`.

**FastAPI** disponibiliza o mesmo `starlette.responses` através do `fastapi.responses` por conveniência ao desenvolvedor. Contudo, a maior parte das respostas disponíveis vem diretamente do Starlette. O mesmo acontece com o `Request`.

///

        @Override
        public ResolutionGroup retrieve(MetadataResolutionRequest request) throws ArtifactMetadataRetrievalException {
            return retrieve(request.getArtifact(), request.getLocalRepository(), request.getRemoteRepositories());
        }

        @Override
        public List<ArtifactVersion> retrieveAvailableVersions(MetadataResolutionRequest request)
                throws ArtifactMetadataRetrievalException {

///

## `HTTPSRedirectMiddleware` { #httpsredirectmiddleware }

Erzwingt, dass alle eingehenden <abbr title="Request – Anfrage: Daten, die der Client zum Server sendet">Requests</abbr> entweder `https` oder `wss` sein müssen.

Alle eingehenden Requests an `http` oder `ws` werden stattdessen an das sichere Schema umgeleitet.

{* ../../docs_src/advanced_middleware/tutorial001_py39.py hl[2,6] *}

/**
 * Resolves the artifact, i.e. download the file when required and attach it to the artifact
 *
 * @since 4.0.0
 */
@Experimental
public interface ArtifactResolver extends Service {

    /**
     * @param request {@link ArtifactResolverRequest}
     * @return {@link ArtifactResolverResult}
     * @throws ArtifactResolverException in case of an error

@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body_updates.{request.param}")

    client = TestClient(mod.app)
    return client


def test_get(client: TestClient):
    response = client.get("/items/baz")

        pytest.param("tutorial002_an_py39"),
        pytest.param("tutorial002_an_py310", marks=[needs_py310]),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.cookie_param_models.{request.param}")

    client = TestClient(mod.app)
    return client


def test_cookie_param_model(client: TestClient):
    with client as c: