class RerunFlakyTest(
    os: Os,
    arch: Arch = Arch.AMD64,
) : BuildType({
        val id = "Util_RerunFlakyTest${os.asName()}${arch.asName()}"
        name = "Rerun Flaky Test - ${os.asName()} ${arch.asName()}"
        description = "Allows you to rerun a selected flaky test 10 times"
        id(id)
        val testJvmVendorParameter = "testJavaVendor"
        val testJvmVersionParameter = "testJavaVersion"

		return v > 0
	}
	// On ID mismatch
	if v := bytes.Compare(x.VersionID[:], o.VersionID[:]); v != 0 {
		return v > 0
	}
	// Flags
	if x.Flags != o.Flags {
		return x.Flags > o.Flags
	}
	return false
}

func (j xlMetaV2Version) getDataDir() string {
	if j.Valid() {
		switch j.Type {
		case LegacyType:
			return j.ObjectV1.DataDir

    List<Integer> completeLengthChecks;
    int baseStackDepth;
    ExecutorService service = newFixedThreadPool(5);
    try {
      // Avoid counting frames from the executor itself, or the ExecutionSequencer
      baseStackDepth =
          serializer
              .submit(
                  new Callable<Integer>() {
                    @Override

Puedes declarar los `examples` específicos de OpenAPI en FastAPI con el parámetro `openapi_examples` para:

* `Path()`
* `Query()`
* `Header()`
* `Cookie()`
* `Body()`
* `Form()`
* `File()`

Las claves del `dict` identifican cada ejemplo, y cada valor es otro `dict`.

Cada `dict` específico del ejemplo en los `examples` puede contener:

* `summary`: Descripción corta del ejemplo.

     * @param off the start offset in the data
     * @param len the number of bytes to write
     * @param flags write operation flags
     * @throws IOException if an I/O error occurs
     */
    public void writeDirect(final byte[] b, int off, int len, final int flags) throws IOException {
        if (len <= 0) {
            return;
        }

        if (this.tmp == null) {

    'full_name': None,
}
```

#### Desempaquetando un `dict`

Si tomamos un `dict` como `user_dict` y lo pasamos a una función (o clase) con `**user_dict`, Python lo "desempaquetará". Pasará las claves y valores del `user_dict` directamente como argumentos clave-valor.

Así que, continuando con el `user_dict` anterior, escribir:

```Python
UserInDB(**user_dict)
```

sería equivalente a algo como:

///

## Multiple models { #multiple-models }

Here's a general idea of how the models could look like with their password fields and the places where they are used:

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}


/// info

  - [Changelog since v1.25.14](#changelog-since-v12514)
  - [Changes by Kind](#changes-by-kind)
    - [Feature](#feature)
    - [Bug or Regression](#bug-or-regression)
    - [Other (Cleanup or Flake)](#other-cleanup-or-flake)
  - [Dependencies](#dependencies-1)
    - [Added](#added-1)
    - [Changed](#changed-1)
    - [Removed](#removed-1)
- [v1.25.14](#v12514)
  - [Downloads for v1.25.14](#downloads-for-v12514)

     */
    @Test
    @DisplayName("Encode single AvPair with EOL")
    void testEncodeSinglePair() {
        List<AvPair> pairs = new LinkedList<>();
        AvFlags flags = new AvFlags(0x12345678);
        pairs.add(flags);

        byte[] encoded = AvPairs.encode(pairs);

        assertNotNull(encoded, "Encoded data should not be null");

   * it is returned directly. Otherwise, a new array of size {@code minLength + padding} is
   * returned, containing the values of {@code array}, and zeroes in the remaining places.
   *
   * @param array the source array
   * @param minLength the minimum length the returned array must guarantee
   * @param padding an extra amount to "grow" the array by if growth is necessary