*
     * @return the error description
     */
    public String getError() {
        return error != null ? error : "Error code: " + returnCode;
    }

    /**
     * Sets the error message.
     *
     * @param error the error message
     */
    public void setError(String error) {
        this.error = error;
    }

    /**
     * Gets the registration ID.
     *

O `directory="static"` refere-se ao nome do diretório que contém seus arquivos estáticos.

O `name="static"` dá a ela um nome que pode ser usado internamente pelo FastAPI.

Todos esses parâmetros podem ser diferentes de "`static`", ajuste-os de acordo com as necessidades e detalhes específicos de sua própria aplicação.

## Mais informações

        /**
         * Returns the label.
         *
         * @return The label.
         */
        public String getLabel() {
            return label;
        }

        /**
         * Sets the label.
         *
         * @param label The label.
         */
        public void setLabel(final String label) {
            this.label = label;
        }

        /**

  public void testSameComparator() {
    assertTrue(SortedIterables.hasSameComparator(Ordering.natural(), Sets.newTreeSet()));
    assertTrue(SortedIterables.hasSameComparator(Ordering.natural(), Maps.newTreeMap().keySet()));
    assertTrue(
        SortedIterables.hasSameComparator(
            Ordering.natural().reverse(), Sets.newTreeSet(Ordering.natural().reverse())));
  }

  public void testComparator() {

    }

    /**
     * Asserts that the expected completion time has passed (and not "too much" time beyond that).
     */
    void assertCompletionExpected() {
      assertAtLeastTimePassed(stopwatch, expectedCompletionWaitMillis);
      assertTimeNotPassed(stopwatch, expectedCompletionWaitMillis + LONG_DELAY_MS);
    }

    /**

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

        /**
         * Sets the Maven session for this request.
         *
         * @param session the Maven session
         * @return this builder instance
         */
        public ProjectBuilderRequestBuilder session(Session session) {
            this.session = session;
            return this;
        }

        /**
         * Sets the request trace for this request.

    protected RequestListener listener;

    /**
     * Constructs a new FaultTolerantClient.
     */
    public FaultTolerantClient() {
        // Default constructor
    }

    @Override
    /**
     * Sets the initialization parameters for the underlying CrawlerClient.
     *
     * @param params a map of parameter names and values to be set
     */
    public void setInitParameterMap(final Map<String, Object> params) {

Quando se refere à máquina remota, é comum chamá-la de **servidor**, mas também de **máquina**, **VM** (máquina virtual), **nó**. Todos esses termos se referem a algum tipo de máquina remota, normalmente executando Linux, onde você executa programas.

## Instale o Programa Servidor

        /** The list of documents to be included in the search result. */
        private final List<Map<String, Object>> documentList = new ArrayList<>();

        /**
         * Sets the total number of records that match the search criteria.
         *
         * @param allRecordCount The total record count
         * @return This builder instance for method chaining
         */