auto get_int = [](Attribute attr) {
        return mlir::cast<IntegerAttr>(attr).getInt();
      };

      SmallVector<int32_t> padding_values(padding_attr_array.size());
      for (int i = 0; i < padding_attr_array.size(); i++) {
        padding_values[i] =
            static_cast<int32_t>(get_int(padding_attr_array[i]));
      }

    @Override
    public AntBuilder ant(Closure configureClosure) {
        return ConfigureUtil.configure(configureClosure, getAnt());
    }

    @Override
    public AntBuilder ant(Action<? super AntBuilder> configureAction) {
        AntBuilder ant = getAnt();
        configureAction.execute(ant);
        return ant;
    }

    @Override

    CPred<"$0.getType().cast<ShapedType>().hasRank() && "
          "$0.getType().cast<ShapedType>().getRank() <= " # n>>;

// Checks if the value has rank 'n'.
class HasRank<int n> : Constraint<
    CPred<"$0.getType().cast<ShapedType>().hasRank() && "
          "$0.getType().cast<ShapedType>().getRank() == " # n>>;

class FloatValueEquals<string val> : Constraint<CPred<
  "FloatValueEquals($0, " # val # ")">>;

  public void testGetLast_basic() {
    List<String> list = newArrayList();
    list.add("a");
    list.add("b");
    assertEquals("b", getLast(list.iterator()));
  }

  public void testGetLast_exception() {
    List<String> list = newArrayList();
    try {
      getLast(list.iterator());
      fail();
    } catch (NoSuchElementException expected) {
    }
  }

    // Input should be rank 4.
    if (!input_ty.hasRank() || input_ty.getRank() != 4) {
      return failure();
    }

    // Check that out_size is rank-1, length-2. Otherwise the size is not legal.
    if (!out_size_ty.hasRank() || out_size_ty.getRank() != 1 ||
        out_size_ty.getShape()[0] != 2) {
      return failure();
    }

    // the first `TensorListSetItemOp`.
    if (auto shaped_type = element_shape.getType().dyn_cast<ShapedType>()) {
      if (shaped_type.hasRank() && shaped_type.getRank() == 0) {
        bool element_shape_acquired = false;
        auto uses = op.getResult().getUses();
        for (auto &use : llvm::make_early_inc_range(uses)) {
          if (TF::TensorListSetItemOp set_op =

   * @return the last element of {@code iterator}
   * @since 3.0
   */
  @ParametricNullness
  public static <T extends @Nullable Object> T getLast(
      Iterator<? extends T> iterator, @ParametricNullness T defaultValue) {
    return iterator.hasNext() ? getLast(iterator) : defaultValue;
  }

  /**
   * Calls {@code next()} on {@code iterator}, either {@code numberToAdvance} times or until {@code

   * @return the last element of {@code iterator}
   * @since 3.0
   */
  @ParametricNullness
  public static <T extends @Nullable Object> T getLast(
      Iterator<? extends T> iterator, @ParametricNullness T defaultValue) {
    return iterator.hasNext() ? getLast(iterator) : defaultValue;
  }

  /**
   * Calls {@code next()} on {@code iterator}, either {@code numberToAdvance} times or until {@code

     */
    AntBuilder getAnt();

    /**
     * <p>Creates an additional <code>AntBuilder</code> for this project. You can use this in your build file to execute
     * ant tasks.</p>
     *
     * @return Creates an <code>AntBuilder</code> for this project. Never returns null.
     * @see #getAnt()
     */
    AntBuilder createAntBuilder();

    /**

    @Override
    public E getFirst() {
      synchronized (mutex) {
        return delegate().getFirst();
      }
    }

    @Override
    public E getLast() {
      synchronized (mutex) {
        return delegate().getLast();
      }
    }

    @Override
    @CheckForNull
    public E peekFirst() {
      synchronized (mutex) {
        return delegate().peekFirst();