does not support protobuf encoding, if you roll back to 1.5 after upgrading to
protobuf you will be forced to restore from backup, and you will lose any changes
since you converted to protobuf.  After conversion to protobuf, you should
validate the correct operation of your cluster thoroughly before returning it
to normal operation.

- Existing PVs are converted to use volume topology if migration is enabled. ([#83394](https://github.com/kubernetes/kubernetes/pull/83394), [@bertinatto](https://github.com/bertinatto))

* Criar uma cópia do modelo armazenado, atualizando seus atributos com as atualizações parciais recebidas (usando o parâmetro `update`).
* Converter o modelo copiado em algo que possa ser armazenado no seu banco de dados (por exemplo, usando o `jsonable_encoder`).
    * Isso é comparável ao uso do método `.model_dump()`, mas garante (e converte) os valores para tipos de dados que possam ser convertidos em JSON, por exemplo, `datetime` para `str`.

            // Use the outputs of this converter as inputs for the next converter
            currentInputs = nextInputs;
        }

        return new ArrayList<>(resultSet);
    }

    /**
     * Adds a converter to the chain.
     * @param converter The converter to add.
     */
    public void addConverter(final ReadingConverter converter) {
        converters.add(converter);
    }

    private ReadingConverter converter;
    private TestReadingConverter testConverter;

    @Before
    public void setUp() {
        testConverter = new TestReadingConverter();
        converter = testConverter;
    }

    @Test
    public void testGetMaxReadingNum() {
        // Test default max reading num
        assertEquals(10, converter.getMaxReadingNum());
    }

    @Test

import java.util.Map;

import org.codelibs.core.beans.Converter;
import org.codelibs.core.beans.converter.DateConverter;
import org.codelibs.core.beans.converter.NumberConverter;
import org.codelibs.core.beans.converter.SqlDateConverter;
import org.codelibs.core.beans.converter.TimeConverter;
import org.codelibs.core.beans.converter.TimestampConverter;

/**

### Structured logging graduate to Beta

Structured logging reached its Beta milestone. Most log messages from kubelet and kube-scheduler have been converted. Users are encouraged to try out JSON output or parsing of the structured text format and provide feedback on possible solutions for the open issues, such as handling of multi-line strings in log values.

  public void testStringConverter_convert() {
    Converter<String, TestEnum> converter = Enums.stringConverter(TestEnum.class);
    assertEquals(TestEnum.CHEETO, converter.convert("CHEETO"));
    assertEquals(TestEnum.HONDA, converter.convert("HONDA"));
    assertEquals(TestEnum.POODLE, converter.convert("POODLE"));
    assertThat(converter.convert(null)).isNull();
    assertThat(converter.reverse().convert(null)).isNull();
  }

Você também pode usar modelos Pydantic como subtipos de `list`, `set`, etc:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

Isso vai esperar(converter, validar, documentar, etc) um corpo JSON tal qual:

```JSON hl_lines="11"
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": [
        "rock",

        // Test init method (should do nothing)
        converter.init();
        // No exception should be thrown
    }

    @Test
    public void testConvertWithNoLanguages() throws IOException {
        // Test convert with no languages specified
        String text = "test text";
        String field = "content";

        List<String> results = converter.convert(text, field);

        assertNotNull(results);