<class rootElement="true" xml.tagName="paramdoc">
      <version>1.0.0</version>
      <name>ExpressionDocumentation</name>
      <description>The root of a parameter plugin expression document.</description>
      <fields>
        <field>
          <version>1.0.0</version>
          <name>expressions</name>
          <description>The list of plugin parameter expressions described by this
            document.</description>

        logger.info("Stats version: {}", version);
        logger.info("Stats status: {}", status);

        // Verify stats contain expected fields
        // Note: The actual fields may vary depending on the implementation
        // Common fields might include: document count, index size, etc.
        assertTrue(res.size() > 0, "Response should contain stats data");

        logger.info("[END] testRead");
    }

            Pydantic's `include` parameter, passed to Pydantic models to set the
            fields to include.
            """
        ),
    ] = None,
    exclude: Annotated[
        IncEx | None,
        Doc(
            """
            Pydantic's `exclude` parameter, passed to Pydantic models to set the
            fields to exclude.
            """
        ),
    ] = None,
    by_alias: Annotated[

            final Map<String, String[]> fields = new HashMap<>();
            for (final Map.Entry<String, String[]> entry : request.getParameterMap().entrySet()) {
                final String key = entry.getKey();
                if (key.startsWith("fields.")) {
                    final String[] value = simplifyArray(entry.getValue());
                    fields.put(key.substring("fields.".length()), value);
                }

        flat_dependant.dependencies.extend(flat_sub.dependencies)

    return flat_dependant


def _get_flat_fields_from_params(fields: list[ModelField]) -> list[ModelField]:
    if not fields:
        return fields
    first_field = fields[0]
    if len(fields) == 1 and lenient_issubclass(
        first_field.field_info.annotation, BaseModel
    ):

                """
                Configuration passed to Pydantic to define if the response data
                should have all the fields, including the ones that were not set and
                have their default values. This is different from
                `response_model_exclude_defaults` in that if the fields are set,
                they will be included in the response, even if the value is the same
                as the default.

     * @param fields The fields
     * @param tags The tags
     * @param roles The roles
     * @param num The number
     * @param langs The languages
     * @param badWords The bad words array
     * @return The SuggestIndexResponse
     */
    public SuggestIndexResponse indexFromSearchWord(final String index, final String searchWord, final String[] fields, final String[] tags,

        final StringBuilder buf = new StringBuilder(100);
        buf.append(form.q);
        if (!form.fields.isEmpty() && form.fields.containsKey(LABEL_FIELD)) {
            final String[] values = form.fields.get(LABEL_FIELD);
            final List<String> labelList = new ArrayList<>();
            if (values != null) {
                Collections.addAll(labelList, values);

        } else {
            queryBuilder.must(QueryBuilders.termQuery(FieldNames.ROLES, SuggestConstants.DEFAULT_ROLE));
        }
        if (!fields.isEmpty()) {
            queryBuilder.must(QueryBuilders.termsQuery(FieldNames.FIELDS, fields));
        }
        if (!languages.isEmpty()) {
            queryBuilder.must(QueryBuilders.termsQuery(FieldNames.LANGUAGES, languages));
        }

     * and to provide a basic check of its values.
     * Since it's an interface with only static final fields, there is no complex logic to test.
     */
    @Test
    void testConstants() {
        // A simple assertion to verify that some of the constants have the expected values.
        // This confirms that the class is on the classpath and its fields are accessible.