}

	opts := madmin.DriveSpeedTestOpts{
		Serial:    serial,
		BlockSize: blockSize,
		FileSize:  fileSize,
	}

	done := keepHTTPResponseAlive(w)
	result := driveSpeedTest(r.Context(), opts)
	done(nil)

	peersLogIf(r.Context(), gob.NewEncoder(w).Encode(result))
}

// GetReplicationMRFHandler - returns replication MRF for bucket

Embora qualquer outro parâmetro declarado normalmente (o corpo da requisição com um modelo Pydantic, por exemplo) ainda seria validado, convertido, anotado, etc.

Mas há situações específicas onde é útil utilizar o objeto `Request`.

## Utilize o objeto `Request` diretamente

Vamos imaginar que você deseja obter o endereço de IP/host do cliente dentro da sua *função de operação de rota*.

					continue
				}

				cfgEntry.Data = string(data)
			}
			configHistory = append(configHistory, cfgEntry)
			count--
			if count == 0 {
				break
			}
		}
		if !res.IsTruncated {
			// We are done here
			break
		}
		marker = res.NextMarker
	}
	sort.Slice(configHistory, func(i, j int) bool {
		return configHistory[i].CreateTime.Before(configHistory[j].CreateTime)
	})
	return configHistory, nil
}

	listCtx, cancelList := context.WithCancel(ctx)
	filteredResults := o.gatherResults(listCtx, filterCh)
	var wg sync.WaitGroup
	wg.Add(1)
	var listErr error

	go func(o listPathOptions) {
		defer wg.Done()
		o.StopDiskAtLimit = true
		listErr = z.listMerged(listCtx, o, filterCh)
		o.debugln("listMerged returned with", listErr)
	}(*o)

	entries, err = filteredResults()
	cancelList()
	wg.Wait()

// This must be done prior to registering the handler.
func (h *StreamTypeHandler[Payload, Req, Resp]) WithOutCapacity(out int) *StreamTypeHandler[Payload, Req, Resp] {
	h.OutCapacity = out
	return h
}

// WithInCapacity adjusts the input capacity from the handler perspective.
// This must be done prior to registering the handler.

There's no waiting 🕙 anywhere, just a lot of work to be done, on multiple places of the house.

You could have turns as in the burgers example, first the living room, then the kitchen, but as you are not waiting 🕙 for anything, just cleaning and cleaning, the turns wouldn't affect anything.

It would take the same amount of time to finish with or without turns (concurrency) and you would have done the same amount of work.

pkg context, func WithValue(Context, interface{}, interface{}) Context
pkg context, type CancelFunc func()
pkg context, type Context interface { Deadline, Done, Err, Value }
pkg context, type Context interface, Deadline() (time.Time, bool)
pkg context, type Context interface, Done() <-chan struct
pkg context, type Context interface, Err() error
pkg context, type Context interface, Value(interface{}) interface{}
pkg context, var Canceled error

    echo \"Failed attempts: $ATTEMPTS\" ;
    if [ $ATTEMPTS -gt $LIMIT ]; then
      exit 1 ;
    fi ;
    sleep 2 ; # 2 second intervals between attempts
    $MC_COMMAND ;
    STATUS=$? ;
  done ;
  set -e ; # reset `e` as active
  return 0
}

# checkSvcacctExists ()
# Check if the svcacct exists, by using the exit code of `mc admin user svcacct info`
checkSvcacctExists() {

Em um cenário avançado onde você precise que a dependência seja calculada em cada passo (possivelmente várias vezes) de uma requisição em vez de utilizar o valor em "cache", você pode definir o parâmetro `use_cache=False` em `Depends`:

//// tab | Python 3.8+

	lkTimer := time.NewTimer(lockMaintenanceInterval)
	// Stop the timer upon returning.
	defer lkTimer.Stop()

	for {
		// Verifies every minute for locks held more than 2 minutes.
		select {
		case <-ctx.Done():
			return
		case <-lkTimer.C:
			globalLockServer.expireOldLocks(lockValidityDuration)

			// Reset the timer for next cycle.
			lkTimer.Reset(lockMaintenanceInterval)
		}
	}