### Sans type de retour { #no-return-type }

Vous pouvez également omettre le type de retour. FastAPI utilisera alors [`jsonable_encoder`](./encoder.md) pour convertir les données en quelque chose qui peut être sérialisé en JSON, puis les enverra en JSON Lines.

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[33:36] hl[34] *}

## Événements envoyés par le serveur (SSE) { #server-sent-events-sse }

		t.Fatal(err)
	}
	e := want.find("abucket/dir2")
	want.replace("abucket/dir2", "", *e)
	var buf bytes.Buffer
	err = want.serializeTo(&buf)
	if err != nil {
		t.Fatal(err)
	}
	t.Log("serialized size:", buf.Len(), "bytes")
	var got dataUsageCache
	err = got.deserialize(&buf)
	if err != nil {
		t.Fatal(err)
	}
	if got.Info.LastUpdate.IsZero() {
		t.Error("lastupdate not set")
	}

    ListenableFuture<@Nullable Void> unused =
        serializer.submitAsync(() -> settableFuture, directExecutor());
    for (int i = 0; i < 25_000; i++) {
      serializer.submit(Callables.<Void>returning(null), directExecutor()).cancel(true);
      unused = serializer.submit(Callables.returning(null), directExecutor());
    }
    ListenableFuture<Integer> stackDepthCheck =

        serializer.setProperty("http://xmlpull.org/v1/doc/properties.html#serializer-indentation", "  ");
        serializer.setProperty("http://xmlpull.org/v1/doc/properties.html#serializer-line-separator", "\n");
        serializer.setOutput(stream, coreExtensions.getModelEncoding());
        serializer.startDocument(coreExtensions.getModelEncoding(), null);
        writeCoreExtensions(coreExtensions, "extensions", serializer);
        serializer.endDocument();

  EXPECT_EQ(tensorflow::unwrap(var_handle0)->DeviceName(&status2), dev0_name);

  // Rename local device
  // This server def has the task index set to 0.
  string serialized = server_def.SerializeAsString();
  TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  const string dev1_name =

    ListenableFuture<@Nullable Void> unused =
        serializer.submitAsync(() -> settableFuture, directExecutor());
    for (int i = 0; i < 25_000; i++) {
      serializer.submit(Callables.<Void>returning(null), directExecutor()).cancel(true);
      unused = serializer.submit(Callables.returning(null), directExecutor());
    }
    ListenableFuture<Integer> stackDepthCheck =

		field.DataType = String
		field.Serializer = v
	} else {
		serializerName := field.TagSettings["JSON"]
		if serializerName == "" {
			serializerName = field.TagSettings["SERIALIZER"]
		}
		if serializerName != "" {
			if serializer, ok := GetSerializer(serializerName); ok {
				// Set default data type to string for serializer
				field.DataType = String
				field.Serializer = serializer
			} else {

  TFE_Context* ctx = TFE_NewContext(opts, status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  TFE_DeleteContextOptions(opts);

  TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  const char task0_name[] = "/job:localhost/replica:0/task:0/device:CPU:0";

    For example, `data="hello"` produces `data: "hello"` on the wire (with
    quotes).
    """

    data: Annotated[
        Any,
        Doc(
            """
            The event payload.

            Can be any JSON-serializable value: a Pydantic model, dict, list,
            string, number, etc. It is **always** serialized to JSON: strings

// Sets `value` to the binary-serialized TensorShapeProto of the value of
// `attr_name` attribute of `oper`.
TF_CAPI_EXPORT extern void TF_OperationGetAttrTensorShapeProto(
    TF_Operation* oper, const char* attr_name, TF_Buffer* value,
    TF_Status* status);

// Fills in `values` with binary-serialized TensorShapeProto values of the