This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).

		return nil, ErrHeader
	}

	// Parse for all member entries.
	// numEntries is trusted after this since a potential attacker must have
	// committed resources proportional to what this library used.
	if err := feedTokens(2 * numEntries); err != nil {
		return nil, err
	}
	spd := make(sparseDatas, 0, numEntries)
	for i := int64(0); i < numEntries; i++ {

        return
      } else if (protocol !== Protocol.HTTP_1_1) {
        throw AssertionError()
      }

      val source = socket.source().buffer()
      val sink = socket.sink().buffer()

      while (processOneRequest(socket, source, sink)) {
      }

      if (sequenceNumber == 0) {
        logger.warning(

      <fields>
        <!-- line, column and source fields are auto-generated by Modello -->
      </fields>
      <codeSegments>
        <codeSegment>
          <version>2.0.0+</version>
          <code>

    @Override
    public String toString() {
        return getLineNumber() + " : " + getColumnNumber() + ", " + getSource();
    }
          </code>
        </codeSegment>

	go func() {
		// Update rebalance.bin periodically once every 5-10s, chosen randomly
		// to avoid multiple pool leaders herding to update around the same
		// time.
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		randSleepFor := func() time.Duration {
			return 5*time.Second + time.Duration(float64(5*time.Second)*r.Float64())
		}

		timer := time.NewTimer(randSleepFor())
		defer timer.Stop()

## Coroutines

**Coroutine** est juste un terme élaboré pour désigner ce qui est retourné par une fonction définie avec `async def`. Python sait que c'est comme une fonction classique qui va démarrer à un moment et terminer à un autre, mais qu'elle peut aussi être mise en pause ⏸, du moment qu'il y a un `await` dans son contenu.

	sys.initStore(objAPI, etcdClient)
	sys.Unlock()

	retryCtx, cancel := context.WithCancel(ctx)

	// Indicate to our routine to exit cleanly upon return.
	defer cancel()

	r := rand.New(rand.NewSource(time.Now().UnixNano()))

	// Migrate storage format if needed.
	for {
		// Migrate IAM configuration, if necessary.
		if err := saveIAMFormat(retryCtx, sys.store); err != nil {
			if configRetriableErrors(err) {

		if skipIfSuccessBefore <= 0 {
			skipIfSuccessBefore = globalDriveConfig.GetMaxTimeout()
		}
	}

	t := time.NewTicker(checkEvery)
	defer t.Stop()
	fn := mustGetUUID()

	rng := rand.New(rand.NewSource(time.Now().UnixNano()))

	monitor := func() bool {
		if contextCanceled(ctx) {
			return false
		}

		if p.health.status.Load() != diskHealthOK {
			return true
		}

// the set topology, this monitoring happens at a given monitoring interval.
func (s *erasureSets) monitorAndConnectEndpoints(ctx context.Context, monitorInterval time.Duration) {
	r := rand.New(rand.NewSource(time.Now().UnixNano()))

	time.Sleep(time.Duration(r.Float64() * float64(time.Second)))

	// Pre-emptively connect the disks if possible.
	s.connectDisks(false)

	monitor := time.NewTimer(monitorInterval)

		Time:      startTime,
		NodeName:  globalLocalNodeName,
		FuncName:  event,
		Duration:  duration,
		Path:      pathJoin(oi.Bucket, oi.Name),
		Bytes:     sz,
		Error:     err,
		Message:   getSource(4),
		Custom:    metadata,
	}
}

func (sys *LifecycleSys) trace(oi ObjectInfo) func(event string, metadata map[string]string, err error) {
	startTime := time.Now()