*/
    public IdnDnsResolver() {
        super();
    }

    /**
     * Resolves the given host name to an array of IP addresses.
     * The host name is first converted to ASCII using IDN before resolution.
     * IPv6 addresses in bracket notation (e.g., [::1] or [2001:db8::1]) are
     * handled specially by removing the brackets before resolution.
     *

* Convert the copied model to something that can be stored in your DB (for example, using the `jsonable_encoder`).
    * This is comparable to using the model's `.model_dump()` method again, but it makes sure (and converts) the values to data types that can be converted to JSON, for example, `datetime` to `str`.
* Save the data to your DB.
* Return the updated model.

{* ../../docs_src/body_updates/tutorial002_py310.py hl[28:35] *}

/// tip

* Converter o modelo copiado em algo que possa ser armazenado no seu BD (por exemplo, usando o `jsonable_encoder`).
    * Isso é comparável a usar o método `.model_dump()` do modelo novamente, mas garante (e converte) os valores para tipos de dados que possam ser convertidos em JSON, por exemplo, `datetime` para `str`.
* Salvar os dados no seu BD.

 */
package org.codelibs.fess.suggest.converter;

import java.util.List;

import junit.framework.TestCase;

public class KatakanaToAlphabetConverterTest extends TestCase {

    private KatakanaToAlphabetConverter converter;

    @Override
    protected void setUp() throws Exception {
        super.setUp();
        converter = new KatakanaToAlphabetConverter();
        converter.init();
    }

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)
* Data <dfn title="converting the string that comes from an HTTP request into Python data">"parsing"</dfn>
* Data validation
* Automatic documentation

        "price": 42.0,
        "tax": 3.2
    },
    "user": {
        "username": "dave",
        "full_name": "Dave Grohl"
    },
    "importance": 5
}
```

Nuevamente, convertirá los tipos de datos, validará, documentará, etc.

## Múltiples parámetros de cuerpo y query { #multiple-body-params-and-query }

     */

    public static String getProperty(final String key) {
        return prp.getProperty(key);
    }

    /**
     * Retrieve an <code>int</code>. If the key does not exist or
     * cannot be converted to an <code>int</code>, the provided default
     * argument will be returned.
     *
     * @param key the property key to look up

import org.apache.lucene.search.TermQuery;
import org.codelibs.core.CoreLibConstants;
import org.codelibs.fess.suggest.converter.AnalyzerConverter;
import org.codelibs.fess.suggest.converter.KatakanaToAlphabetConverter;
import org.codelibs.fess.suggest.converter.ReadingConverter;
import org.codelibs.fess.suggest.converter.ReadingConverterChain;
import org.codelibs.fess.suggest.entity.SuggestItem;

`secrets.compare_digest()` necesita tomar `bytes` o un `str` que solo contenga caracteres ASCII (los carácteres en inglés), esto significa que no funcionaría con caracteres como `á`, como en `Sebastián`.

Para manejar eso, primero convertimos el `username` y `password` a `bytes` codificándolos con UTF-8.

Luego podemos usar `secrets.compare_digest()` para asegurar que `credentials.username` es `"stanleyjobson"`, y que `credentials.password` es `"swordfish"`.

        } catch (final UnsupportedEncodingException uee) {}
        dstIndex += scope.length();

        dst[dstIndex++] = (byte) 0x00;

        // now go over scope backwards converting '.' to label length

        int i = dstIndex - 2;
        final int e = i - scope.length();
        int c = 0;

        do {
            if (dst[i] == '.') {
                dst[i] = (byte) c;