Então, digamos que você tenha um frontend rodando no seu navegador em `http://localhost:8080`, e seu JavaScript esteja tentando se comunicar com um backend rodando em http://localhost (como não especificamos uma porta, o navegador assumirá a porta padrão `80`).

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64
# Note: this is not set to "--cpu", because that changes the package name
# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow"
# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-central1-docker.pkg.dev/tensorflow-sigs/tensorflow/build-arm64:tf-2-18-multi-python

	// ErrIsFull is returned when the buffer is full and not blocking.
	ErrIsFull = errors.New("ringbuffer is full")

	// ErrIsEmpty is returned when the buffer is empty and not blocking.
	ErrIsEmpty = errors.New("ringbuffer is empty")

	// ErrIsNotEmpty is returned when the buffer is not empty and not blocking.
	ErrIsNotEmpty = errors.New("ringbuffer is not empty")

* Migrations **Alembic**.
* **CORS** (partage des ressources entre origines multiples, ou *Cross Origin Resource Sharing*).
* *Worker* **Celery** pouvant importer et utiliser les modèles et le code du reste du backend.

 */
class TaskRunner(
  val backend: Backend,
  internal val logger: Logger = TaskRunner.logger,
) {
  val lock: ReentrantLock = ReentrantLock()
  val condition: Condition = lock.newCondition()

  private var nextQueueName = 10000
  private var coordinatorWaiting = false
  private var coordinatorWakeUpAt = 0L

  /**
   * When we need a new thread to run tasks, we call [Backend.execute]. A few microseconds later we

  }

  @Throws(IOException::class)
  override fun createServerSocket(
    port: Int,
    backlog: Int,
  ): ServerSocket {
    val serverSocket = delegate.createServerSocket(port, backlog)
    return configureServerSocket(serverSocket)
  }

  @Throws(IOException::class)
  override fun createServerSocket(
    port: Int,
    backlog: Int,
    ifAddress: InetAddress,
  ): ServerSocket {

  optional string pathType = 3;

  // backend defines the referenced service endpoint to which the traffic
  // will be forwarded to.
  optional IngressBackend backend = 2;
}

// HTTPIngressRuleValue is a list of http selectors pointing to backends.
// In the example: http://<host>/<path>?<searchpart> -> backend where
// where parts of the url correspond to RFC 3986, this resource will be used

    return createServerSocket();
  }

  @Override public ServerSocket createServerSocket(int port, int backlog) throws IOException {
    return createServerSocket();
  }

  @Override public ServerSocket createServerSocket(
      int port, int backlog, InetAddress inetAddress) throws IOException {
    return createServerSocket();
  }

  final class UnixDomainServerSocket extends ServerSocket {

         * the 'received' member of the response object will not
         * be set to true indicating the send and sendTransaction
         * methods that the next part should be sent. This is a
         * very indirect and simple batching control mechanism.
         */

        if ( this.andx == null || !getConfig().isUseBatching() || this.batchLevel >= getBatchLimit(getConfig(), (byte) this.andx.getCommand()) ) {
            this.andxCommand = (byte) 0xFF;

	clusterDriveMetrics, err := c.clusterDriveMetrics.Get()
	if err != nil {
		metricsLogIf(ctx, err)
	} else {
		m.Set(configStandardParity, float64(clusterDriveMetrics.storageInfo.Backend.StandardSCParity))
		m.Set(configRRSParity, float64(clusterDriveMetrics.storageInfo.Backend.RRSCParity))
	}

	return nil