z.mpCache.Delete(id)
					// No need to notify to peers, each node will delete its own cache.
				}
				return true
			})

			// Reset for the next interval
			timer.Reset(globalAPIConfig.getStaleUploadsCleanupInterval())
		}
	}
}

func (z *erasureServerPools) NewNSLock(bucket string, objects ...string) RWLocker {

	fsDirs, err := getRandomDisks(nDisks)
	if err != nil {
		b.Fatal(err)
	}

	endpoints := mustGetNewEndpoints(0, 16, fsDirs...)
	b.RunParallel(func(pb *testing.PB) {
		endpoints := endpoints
		for pb.Next() {
			initStorageDisksWithErrors(endpoints, storageOpts{cleanUp: false, healthCheck: false})
		}
	})

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial001.py!}
```

Esta é uma função Python.

Ela será chamada pelo **FastAPI** sempre que receber uma requisição para a URL "`/ `" usando uma operação `GET`.

Neste caso, é uma função `assíncrona`.

---

Você também pode defini-la como uma função normal em vez de `async def`:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

## **FastAPI**'s `OAuth2PasswordBearer`

**FastAPI** fornece várias ferramentas, em diferentes níveis de abstração, para implementar esses recursos de segurança.

Neste exemplo, nós vamos usar o **OAuth2** com o fluxo de **Senha**, usando um token **Bearer**. Fazemos isso usando a classe `OAuth2PasswordBearer`.

/// info | "informação"



///

		select {
		case <-ctx.Done():
			return
		case <-monitor.C:
			if serverDebugLog {
				console.Debugln("running drive monitoring")
			}

			s.connectDisks(true)

			// Reset the timer for next interval
			monitor.Reset(monitorInterval)
		}
	}
}

func (s *erasureSets) GetLockers(setIndex int) func() ([]dsync.NetLocker, string) {
	return func() ([]dsync.NetLocker, string) {

                type: integer
              nodeSelectors:
                description: NodeSelectors allows to limit the nodes to announce as
                  next hops for the LoadBalancer IP. When empty, all the nodes having  are
                  announced as next hops.
                items:
                  description: A label selector is a label query over a set of resources.

        if ( type.isAssignableFrom(this.getClass()) ) {
            return (T) this;
        }
        return null;
    }


    /**
     * Guess next called name to try for session establishment. These
     * methods are used by the smb package.
     * 
     * @return guessed name
     */
    @Override
    public String firstCalledName () {

// When `enable` is true, set
// tensorflow.ConfigProto.OptimizerOptions.global_jit_level to ON_1, and also
// set XLA flag values to prepare for XLA compilation. Otherwise set
// global_jit_level to OFF.
//
// This and the next API are syntax sugar over TF_SetConfig(), and is used by
// clients that cannot read/write the tensorflow.ConfigProto proto.
// TODO: Migrate to TF_CreateConfig() below.

                    List<String> values = option.getValuesList();
                    for (ListIterator<String> it = values.listIterator(); it.hasNext(); ) {
                        it.set(interpolator.interpolate(it.next()));
                    }
                }
                commandLineBuilder.addOption(option);
            }
            for (String arg : options.commandLine.getArgList()) {

	if w.nextOffset == offset {
		n, err = w.w.Write(b)
		w.nextOffset += int64(n)
	} else {
		if offset > w.nextOffset+ftpMaxWriteOffset {
			return 0, fmt.Errorf("write offset %d is too far ahead of next offset %d", offset, w.nextOffset)
		}
		w.buffer[offset] = make([]byte, len(b))
		copy(w.buffer[offset], b)
		n = len(b)
	}

again:
	nextOut, ok := w.buffer[w.nextOffset]
	if ok {