if (data != null) {
                ((OpenSearchAccessResult) bean).setAccessResultData(new OpenSearchAccessResultData(data));
            }
            setId(bean, id);
            return bean;
        }
        return null;
    }

1. Script the mocks.
2. Run application code.
3. Verify that the expected requests were made.

Here's a complete example:

```java
public void test() throws Exception {
  // Create a MockWebServer. These are lean enough that you can create a new
  // instance for every unit test.
  MockWebServer server = new MockWebServer();

  // Schedule some responses.
  server.enqueue(new MockResponse().setBody("hello, world!"));

    static {
        initialize();
    }

    /**
     * {@link BeanDesc}を返します。
     *
     * @param clazz
     *            Beanクラス。{@literal null}であってはいけません
     * @return {@link BeanDesc}
     */
    public static BeanDesc getBeanDesc(final Class<?> clazz) {
        assertArgumentNotNull("clazz", clazz);

        if (!initialized) {

  - family-names: Chen
    given-names: Zhifeng
  - family-names: Citro
    given-names: Craig
  - family-names: Corrado
    given-names: Greg S.
  - family-names: Davis
    given-names: Andy
  - family-names: Dean
    given-names: Jeffrey
  - family-names: Devin
    given-names: Matthieu
  - family-names: Ghemawat
    given-names: Sanjay
  - family-names: Goodfellow
    given-names: Ian
  - family-names: Harp

# functions (except for tfrun); use dedicated scripts instead and reference them
# specifically. Use your best judgment to keep the scripts in this directory
# lean and easy to follow. When in doubt, remember that for CI scripts, "keep it
# simple" is MUCH more important than "don't repeat yourself."

# -e: abort script if one command fails
# -u: error if undefined variable used

    "path": "platforms/core-configuration/base-services-groovy",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "bean-serialization-services",
    "path": "platforms/core-configuration/bean-serialization-services",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "build-cache",

    * Function is linear between points. Resource utilization is defined as one minus ratio of total amount of resource requested by pods on node and node's capacity (scaled to 100).
    * Final utilization used for computation is arithmetic mean of cpu utilization and memory utilization.
    * Function is disabled by default and can be enabled via scheduler policy config file.

#                                        Hibernate Validator
#                                        -------------------
constraints.CreditCardNumber.message        = {item} is invalid credit card number.
constraints.EAN.message                     = {item} is invalid {type} barcode.
constraints.Email.message                   = {item} is not a well-formed email address.

## Valores predefinidos

Si tienes una *operación de path* que recibe un *parámetro de path* pero quieres que los valores posibles del *parámetro de path* sean predefinidos puedes usar un <abbr title="Enumeration">`Enum`</abbr> estándar de Python.

### Crea una clase `Enum`

Importa `Enum` y crea una sub-clase que herede desde `str` y desde `Enum`.

- Users will see increase in time for deletion of pods and also guarantee that removal of pod from api server  would mean deletion of all the resources from container runtime. ([#92817](https://github.com/kubernetes/kubernetes/pull/92817), [@kmala](https://github.com/kmala)) [SIG Node]