return true
	case reflect.Float32, reflect.Float64:
		return true
	default:
		return false
	}
}

// ExplainSQL generate SQL string with given parameters, the generated SQL is expected to be used in logger, execute it might introduce a SQL injection vulnerability
func ExplainSQL(sql string, numericPlaceholder *regexp.Regexp, escaper string, avars ...interface{}) string {
	var (

    /** The facet response containing aggregated facet information for the search results. */
    protected final FacetResponse facetResponse;

    /**
     * Constructs a new SearchResult with the specified parameters.
     *
     * @param documentList The list of documents returned by the search
     * @param allRecordCount The total number of matching records
     * @param allRecordCountRelation The relation type for the record count

            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setHostname(DfTypeUtil.toString(source.get("hostname")));
            result.setParameters(DfTypeUtil.toString(source.get("parameters")));
            result.setPassword(DfTypeUtil.toString(source.get("password")));
            result.setPort(DfTypeUtil.toInteger(source.get("port")));

  export -p | grep TFCI

  # Load those stored pre-existing TFCI_ vars, if any
  if [[ -s "$FROM_ENV" ]]; then
    echo '==TFCI==: NOTE: Loading the following env parameters, which were'
    echo 'already set in the shell environment. If you want to disable this'
    echo 'behavior, create a new shell.'
    cat "$FROM_ENV"
    source "$FROM_ENV"
    rm "$FROM_ENV"
  fi
  set +u
fi

     * Used to verify token-based authentication for API requests.
     */
    @Resource
    protected AccessTokenService accessTokenService;

    /**
     * HTTP servlet request object providing access to request parameters, headers,
     * and other request-specific information needed for API processing.
     */
    @Resource
    protected HttpServletRequest request;

    /**

     * Processes a document map for datastore operations.
     * Default implementation delegates to the basic process method.
     *
     * @param target the document data to process
     * @param params the data store parameters
     * @return the processed document data
     */
    public Map<String, Object> process(final Map<String, Object> target, final DataStoreParams params) {
        return process(target);
    }

    /**

///

## Modelos de Pydantic para Formularios

Solo necesitas declarar un **modelo de Pydantic** con los campos que quieres recibir como **campos de formulario**, y luego declarar el parámetro como `Form`:

{* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}

**FastAPI** **extraerá** los datos de **cada campo** de los **form data** en el request y te dará el modelo de Pydantic que definiste.

    /**
     * Document URL patterns to exclude from search index.
     */
    @CustomSize(maxKey = "form.admin.max.input.size")
    public String excludedDocUrls;

    /**
     * Additional configuration parameters for the crawler.
     */
    @CustomSize(maxKey = "form.admin.max.input.size")
    public String configParameter;

    /**
     * The maximum crawling depth from the starting URLs.
     */

# warn them that we are not observing the value of $JAVA_OPTS
if [ ! -z "$JAVA_OPTS" ]; then
  echo -n "warning: ignoring JAVA_OPTS=$JAVA_OPTS; "
  echo "pass JVM parameters via FESS_JAVA_OPTS"
fi

if [ "x$FESS_MIN_MEM" = "x" ]; then
    FESS_MIN_MEM=256m
fi
if [ "x$FESS_MAX_MEM" = "x" ]; then
    FESS_MAX_MEM=2g
fi
if [ "x$FESS_HEAP_SIZE" != "x" ]; then

/**
 * Query command implementation for handling fuzzy search queries.
 * This class converts Lucene FuzzyQuery objects into OpenSearch fuzzy query builders,
 * supporting configurable fuzzy matching parameters like edit distance and expansions.
 *
 */
public class FuzzyQueryCommand extends QueryCommand {
    private static final Logger logger = LogManager.getLogger(FuzzyQueryCommand.class);

    /**