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 =

If you declare the return type as `AsyncIterable[Item]`, FastAPI will use it to **validate**, **document**, and **serialize** the data using Pydantic.

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[1:25] hl[10:12,23] *}

/// tip

As Pydantic will serialize it in the **Rust** side, you will get much higher **performance** than if you don't declare a return type.

///

If you declare the return type, FastAPI will use it to **validate** the data, **document** it in OpenAPI, **filter** it, and **serialize** it using Pydantic.

/// tip

As Pydantic will serialize it in the **Rust** side, you will get much higher **performance** than if you don't declare a return type.

///

    }

    /**
     * Serialize the inbound Model instance to a StringWriter, perform the regex replacement to resolve
     * POM expressions, then re-parse into the resolved Model instance.
     * <p>
     * <b>NOTE:</b> This will result in a different instance of Model being returned!!!
     *
     * @param model The inbound Model instance, to serialize and reference for expression resolution

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[9:11,22] *}

Se você declarar o tipo de retorno, o FastAPI o usará para **validar** os dados, **documentá-los** no OpenAPI, **filtrá-los** e **serializá-los** usando o Pydantic.

/// tip | Dica

Como o Pydantic fará a serialização no lado em **Rust**, você terá uma **performance** muito maior do que se não declarar um tipo de retorno.

///

### JSON Performance { #json-performance }

        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();

    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";