return ITEM_ENDPOINT_SUFFIX;
    }

    @Override
    protected String getIdKey() {
        return "doc_id";
    }

    @Override
    protected Map<String, Object> createTestParam(int id) {
        final Map<String, Object> requestBody = new HashMap<>();
        final Map<String, Object> doc = new HashMap<>();
        final String keyProp = NAME_PREFIX + id;
        doc.put(KEY_PROPERTY, keyProp);

      ImmutableList<Parameter> params = invokable.getParameters();
      for (int i = 0; i < args.length; i++) {
        Parameter param = params.get(i);
        if (!isNullable(param)) {
          checkNotNull(args[i]);
        }
      }
      return dummyReturnValue(interfaceType.resolveType(method.getGenericReturnType()));
    }

    @Override
    public int hashCode() {
      return identity().hashCode();
    }

        // Assert
        assertEquals(0, queryPolicy.getPtype());
    }

    @Test
    void constructor_shouldAlwaysSetFlagsToFirstAndLastFrag() {
        // Arrange
        short level = 4;
        int expectedFlags = DcerpcConstants.DCERPC_FIRST_FRAG | DcerpcConstants.DCERPC_LAST_FRAG;

        // Act
        queryPolicy = new MsrpcQueryInformationPolicy(mockPolicyHandle, level, mockNdrObject);

        // Assert

     */
    int getLineNumber();

    /**
     * Gets the one-based index of the column containing the problem. The column number should refer to some text file
     * that is given by {@link #getSource()}.
     *
     * @return The one-based index of the column containing the problem or non-positive value if unknown.
     */
    int getColumnNumber();

    /**

Harías lo mismo para declarar `tuple`s y `set`s:

{* ../../docs_src/python_types/tutorial007_py310.py hl[1] *}

Esto significa:

* La variable `items_t` es un `tuple` con 3 ítems, un `int`, otro `int`, y un `str`.
* La variable `items_s` es un `set`, y cada uno de sus ítems es del tipo `bytes`.

#### Dict { #dict }

Para definir un `dict`, pasas 2 parámetros de tipo, separados por comas.

Você faria o mesmo para declarar `tuple`s e `set`s:

{* ../../docs_src/python_types/tutorial007_py310.py hl[1] *}

Isso significa:

* A variável `items_t` é uma `tuple` com 3 itens, um `int`, outro `int` e uma `str`.
* A variável `items_s` é um `set`, e cada um de seus itens é do tipo `bytes`.

#### Dict { #dict }

Para definir um `dict`, você passa 2 parâmetros de tipo, separados por vírgulas.

      Iterable<T> iterable, int numberToSkip) {
    checkNotNull(iterable);
    checkArgument(numberToSkip >= 0, "number to skip cannot be negative");

    return new FluentIterable<T>() {
      @Override
      public Iterator<T> iterator() {
        if (iterable instanceof List) {
          List<T> list = (List<T>) iterable;
          int toSkip = Math.min(list.size(), numberToSkip);

      }
      return uid;
    }

    @Override
    public int compare(@Nullable Object left, @Nullable Object right) {
      if (left == right) {
        return 0;
      } else if (left == null) {
        return -1;
      } else if (right == null) {
        return 1;
      }
      int leftCode = identityHashCode(left);
      int rightCode = identityHashCode(right);
      if (leftCode != rightCode) {

      }
    }
  }

  fun proxy(): Proxy =
    Proxy(
      Proxy.Type.SOCKS,
      InetSocketAddress.createUnresolved("localhost", serverSocket!!.localPort),
    )

  fun connectionCount(): Int = connectionCount.get()

  fun shutdown() {
    serverSocket!!.close()
    executor.shutdown()
    if (!executor.awaitTermination(5, TimeUnit.SECONDS)) {
      throw IOException("Gave up waiting for executor to shut down")

        this.modelSource = modelSource;

        return this;
    }

    @Override
    public int getValidationLevel() {
        return validationLevel;
    }

    @Override
    public DefaultModelBuildingRequest setValidationLevel(int validationLevel) {
        this.validationLevel = validationLevel;

        return this;
    }

    @Override