items="${charMappingItemItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/dict/mapping/details/${f:u(dictId)}/4/${f:u(data.id)}">
                                                    <td>${f:h(data.inputs)}</td>

}

func benchmark(b *testing.B, data []string) {
	b.Run("concat naive", func(b *testing.B) {
		b.ResetTimer()
		b.ReportAllocs()
		for b.Loop() {
			concatNaive(data...)
		}
	})
	b.Run("concat fast", func(b *testing.B) {
		b.ResetTimer()
		b.ReportAllocs()
		for b.Loop() {
			concat(data...)
		}
	})
}

func BenchmarkConcatImplementation(b *testing.B) {
	data := make([]string, 2)

        //custom options from user
        if (typeof options !== 'object' || options === null)
            options = {};

        //allow setting options with data attributes
        //data-api options will be overwritten with custom javascript options
        options = $.extend(this.element.data(), options);

        //html template for the picker UI
        if (typeof options.template !== 'string' && !(options.template instanceof $))

        .setHeader("content-type", "text/event-stream")
        .body("data: hey\n\n")
        .build(),
    )
    newEventSource()
    listener.assertFailure("timeout")
  }

  @Test
  fun retainsAccept() {
    server.enqueue(
      MockResponse
        .Builder()
        .body(
          """
          |data: hey
          |
          |
          """.trimMargin(),

# Declare Request Example Data { #declare-request-example-data }

You can declare examples of the data your app can receive.

Here are several ways to do it.

## Extra JSON Schema data in Pydantic models { #extra-json-schema-data-in-pydantic-models }

You can declare `examples` for a Pydantic model that will be added to the generated JSON Schema.

//// tab | Pydantic v2

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

 * Implementations can specify how long cached data should be retained.
 *
 * @since 4.0.0
 */
@Experimental
public interface CacheMetadata {

    /**
     * Returns the cache retention that should be applied to the associated data.
     *
     * @return The CacheRetention indicating how long data should be retained, or null if
     *         no specific cache retention is defined
     */

        PrunedTag tag1 = new PrunedTag("div");
        tag1.setId("test");
        tag1.setCss("highlight");
        tag1.setAttr("data-value", "123");

        PrunedTag tag2 = new PrunedTag("div");
        tag2.setId("test");
        tag2.setCss("highlight");
        tag2.setAttr("data-value", "123");

        assertTrue(tag1.equals(tag2));
        assertTrue(tag2.equals(tag1));

`UploadFile` tem os seguintes métodos `async`. Todos eles chamam os métodos de arquivos por baixo dos panos (usando o objeto `SpooledTemporaryFile` interno).

* `write(data)`: escreve dados (`data`) em `str` ou `bytes` no arquivo.
* `read(size)`: Lê um número de bytes/caracteres de acordo com a quantidade `size` (`int`).
* `seek(offset)`: Navega para o byte na posição `offset` (`int`) do arquivo.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

  protected final T data;
  protected final T expected;

  private final String suiteName;
  private final String caseDesc;

  SourceSinkTester(F factory, T data, String suiteName, String caseDesc, Method method) {
    super(method.getName());
    this.factory = checkNotNull(factory);
    this.data = checkNotNull(data);
    this.expected = checkNotNull(factory.getExpected(data));