put(convertKey(entry.getKey()), entry.getValue());
        }
    }

    @Override
    public final V remove(final Object key) {
        return super.remove(convertKey(key));
    }

    @Override
    public boolean containsKey(final Object key) {
        return super.containsKey(convertKey(key));
    }

    private static String convertKey(final Object key) {

    In this case, it's a list of `Item` dataclasses.

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.

    FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON.

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

- **Multi-language Support**: Built-in support for Japanese text processing with Kuromoji analyzer
- **Popular Words Analytics**: Track and analyze frequently searched terms
- **Flexible Text Processing**: Configurable converters and normalizers for text transformation
- **OpenSearch Integration**: Seamless integration with OpenSearch/Elasticsearch clusters
- **Asynchronous Operations**: Non-blocking suggestion requests with callback support

            }
        }
        return defaultValue;
    }

    /**
     * Converts an object to the specified class type.
     * @param <T> The target type.
     * @param value The object to convert.
     * @param clazz The class type to convert to.
     * @return The converted object.
     */
    @SuppressWarnings("unchecked")

---

"_Si alguien está buscando construir una API de Python para producción, altamente recomendaría **FastAPI**. Está **hermosamente diseñado**, es **simple de usar** y **altamente escalable**, se ha convertido en un **componente clave** en nuestra estrategia de desarrollo API primero y está impulsando muchas automatizaciones y servicios como nuestro Ingeniero Virtual TAC._"

    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;

/**

Entonces podemos declarar `tags` como un conjunto de strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

Con esto, incluso si recibes un request con datos duplicados, se convertirá en un conjunto de elementos únicos.

Y siempre que emitas esos datos, incluso si la fuente tenía duplicados, se emitirá como un conjunto de elementos únicos.

Y también se anotará/documentará en consecuencia.

  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();
  }

        // 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);