}

    /**
     * Decodes data encoded in Base64.
     * <p>
     * This method uses {@link java.util.Base64.Decoder} for decoding.
     * </p>
     *
     * @param inData
     *            The data to decode
     * @return The decoded data, or null if the input is null or empty
     */
    public static byte[] decode(final String inData) {
        if (StringUtil.isEmpty(inData)) {

* der Cloudanbieter
* der Clouddienst

* die Entwicklung
* die Entwicklungsphasen

* das Dict
* das Dictionary
* die Enumeration
* das Enum
* das Enum-Member

* der Encoder
* der Decoder
* kodieren
* dekodieren

* die Exception
* werfen

* der Ausdruck
* die Anweisung

* das Frontend
* das Backend

* die GitHub-Diskussion
* das GitHub-Issue

* the cloud service

* the development
* the development stages

* the dict
* the dictionary
* the enumeration
* the enum
* the enum member

* the encoder
* the decoder
* to encode
* to decode

* the exception
* to raise

* the expression
* the statement

* the frontend
* the backend

* the GitHub discussion
* the GitHub issue

# Codificador compatible con JSON { #json-compatible-encoder }

Hay algunos casos en los que podrías necesitar convertir un tipo de dato (como un modelo de Pydantic) a algo compatible con JSON (como un `dict`, `list`, etc).

Por ejemplo, si necesitas almacenarlo en una base de datos.

Para eso, **FastAPI** proporciona una función `jsonable_encoder()`.

## Usando el `jsonable_encoder` { #using-the-jsonable-encoder }

         */
        protected Map<String, Long> valueCountMap = new LinkedHashMap<>();

        /**
         * The decoded name of the field.
         */
        protected String name;

        /**
         * Constructs a Field from OpenSearch Terms aggregation.
         * Decodes the field name and processes all term buckets to extract
         * field values and their document counts.
         *

    }

    /**
     * Decodes a base64 encoded ID back to the original object name.
     *
     * @param id the encoded ID to decode
     * @return the decoded object name
     */
    protected static String decodeId(final String id) {
        if (id == null) {
            return StringUtil.EMPTY;
        }

        assertNotNull("Encoded result should not be null", encoded);
        final byte[] decoded = Base64Util.decode(encoded);
        assertEquals("Decoded should have same length", 1, decoded.length);
        assertEquals("Decoded byte should match", singleByte[0], decoded[0]);
    }

    /**
     * Test encode with two bytes
     *
     * @throws Exception
     */

            }
        }
        return u;
    }

    /**
     * Decodes a URL as a name using appropriate character encoding.
     * Handles encoding detection from parent URLs and configuration settings.
     *
     * @param url the URL to decode
     * @param escapePlus whether to escape plus signs before decoding
     * @return the decoded URL name, or original URL if decoding fails
     */

# Codificador Compatível com JSON { #json-compatible-encoder }

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder` { #using-the-jsonable-encoder }

        return permission;
    }

    /**
     * Decodes a search role format string back to a permission string.
     * Reverses the encoding process to restore original permission format.
     *
     * @param value the encoded permission string to decode
     * @return the decoded permission string, or null if the input is blank or invalid
     */
    public String decode(final String value) {
        if (StringUtil.isBlank(value)) {