ASSERT_TRUE(executed);
  auto handle_cleaner = tensorflow::gtl::MakeCleanup(
      [var_handle]() { TFE_DeleteTensorHandle(var_handle); });

  // Assign to the variable, copying to the custom device.
  std::unique_ptr<TFE_TensorHandle, decltype(&TFE_DeleteTensorHandle)> one(
      TestScalarTensorHandle(context.get(), 111.f), TFE_DeleteTensorHandle);

![Erasure](https://github.com/minio/minio/blob/master/docs/screenshots/erasure-code.jpg?raw=true)

## What is Bit Rot protection?

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

/*
 * SipHash-c-d was designed by Jean-Philippe Aumasson and Daniel J. Bernstein and is described in
 * "SipHash: a fast short-input PRF" (available at https://131002.net/siphash/siphash.pdf).
 */

package com.google.common.hash;

digraph {
    grpc -> ca [label="Send CSR gRPC Request"]
    subgraph cluster_istioagent {
        label = "Istio Agent"
        color="orange"
        sds
        SecretManager -> caClient [label="Sign CSR"]
        caClient -> grpc
        grpc -> TokenProvider [dir=none,label="Fetch JWT",color=purple]
        grpc -> cfiles [dir=none,label="Fetch Cert",color=purple]

        sds -> SecretManager [label="Generate certificate"]

Jedes dieser Response-`dict`s kann einen Schlüssel `model` haben, welcher ein Pydantic-Modell enthält, genau wie `response_model`.

**FastAPI** nimmt dieses Modell, generiert dessen JSON-Schema und fügt es an der richtigen Stelle in OpenAPI ein.

Um beispielsweise eine weitere Response mit dem Statuscode `404` und einem Pydantic-Modell `Message` zu deklarieren, können Sie schreiben:

     *
     * @param id            the unique identifier of the repository
     * @param url           the URL of the repository
     * @param layout        the layout of the repository
     * @param uniqueVersion whether to assign each snapshot a unique version
     */
    public DefaultArtifactRepository(String id, String url, ArtifactRepositoryLayout layout, boolean uniqueVersion) {
        super(id, url);
        this.layout = layout;
    }

/// info

Beachten Sie, dass wir in der *Pfadoperation-Funktion* nur eine einzige Abhängigkeit deklarieren, den `query_or_cookie_extractor`.

Aber **FastAPI** wird wissen, dass es zuerst `query_extractor` auflösen muss, um dessen Resultat `query_or_cookie_extractor` zu übergeben, wenn dieses aufgerufen wird.

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

			fieldValues[idx], _ = field.ValueOf(tx.Statement.Context, elem)
		}

		datas, ok := identityMap[utils.ToStringKey(fieldValues...)]
		if !ok {
			return fmt.Errorf("failed to assign association %#v, make sure foreign fields exists", elem.Interface())
		}

		for _, data := range datas {
			reflectFieldValue := rel.Field.ReflectValueOf(tx.Statement.Context, data)

  conçu pour Django Channels.

## Machine serveur et programme serveur

Il y a un petit détail sur les noms à garder à l'esprit. 💡

Le mot "**serveur**" est couramment utilisé pour désigner à la fois l'ordinateur distant/cloud (la machine physique ou virtuelle) et également le programme qui s'exécute sur cette machine (par exemple, Uvicorn).

You might remember that request bodies are also declared with Pydantic models.

Here **FastAPI** won't get confused because you are using `Depends`.

///

/// check

The way this dependency system is designed allows us to have different dependencies (different "dependables") that all return a `User` model.

We are not restricted to having only one dependency that can return that type of data.

///

## Other models