Poder usar funciones asíncronas en tus tests puede ser útil, por ejemplo, cuando consultas tu base de datos de forma asíncrona. Imagina que quieres probar el envío de requests a tu aplicación FastAPI y luego verificar que tu backend escribió exitosamente los datos correctos en la base de datos, mientras usas un paquete de base de datos asíncrono.

Veamos cómo podemos hacer que esto funcione.

## pytest.mark.anyio { #pytest-mark-anyio }

Voyons comment procéder.

## pytest.mark.anyio { #pytest-mark-anyio }

Dans ce guide, vous apprendrez à générer un **SDK TypeScript** pour votre backend FastAPI.

## Générateurs de SDK open source { #open-source-sdk-generators }

Neste guia, você aprenderá como gerar um **SDK em TypeScript** para o seu backend FastAPI.

## Geradores de SDK de código aberto { #open-source-sdk-generators }

Schauen wir uns an, wie wir das machen können.

## pytest.mark.anyio { #pytest-mark-anyio }

	if err != nil {
		return "", err
	}
	return hex.EncodeToString(etag), nil
}

// For encrypted objects, the ETag sent by client if available
// is stored in encrypted form in the backend. Decrypt the ETag
// if ETag was previously encrypted.
func getDecryptedETag(headers http.Header, objInfo ObjectInfo, copySource bool) (decryptedETag string) {
	var (
		key [32]byte
		err error
	)

### Internal Storage Layer
* upgrade to etcd3 prior to upgrading to 1.6 **OR** explicitly specify `--storage-backend=etcd2 --storage-media-type=application/json` when starting the apiserver

### Node Components
* **Kubelet with the Docker-CRI implementation**
  * The Docker-CRI implementation is enabled by default.

	//   ETag (server-internal): 20000f00ce5dc16e3f3b124f586ae1d88e9caa1c598415c2759bbb50e84a59f630902184f4e62dd8f98f0aaff810c626
	//
	// Therefore, we adjust all ETags sent by the client to match what is stored
	// on the backend.
	kind, _ := crypto.IsEncrypted(fi.Metadata)

	var objectEncryptionKey []byte
	switch kind {
	case crypto.SSEC:
		if checksumType.IsSet() {
			if opts.EncryptFn == nil {

  internal fun scheduleAndDecide(
    task: Task,
    delayNanos: Long,
    recurrence: Boolean,
  ): Boolean {
    task.initQueue(this)

    val now = taskRunner.backend.nanoTime()
    val executeNanoTime = now + delayNanos

    // If the task is already scheduled, take the earlier of the two times.
    val existingIndex = futureTasks.indexOf(task)
    if (existingIndex != -1) {

common:mkl --define=build_with_mkl=true --define=enable_mkl=true
common:mkl --define=tensorflow_mkldnn_contraction_kernel=0
common:mkl --define=build_with_openmp=true
common:mkl -c opt

# config to build OneDNN backend with a user specified threadpool.
common:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
common:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0