SMBUtil.writeInt4(this.lengthInBytes, dst, dstIndex + 6);
        return 10;
    }


    /**
     * {@inheritDoc}
     *
     * @see jcifs.Encodable#size()
     */
    @Override
    public int size () {
        return this.largeFile ? 20 : 10;
    }

			}
		})
	}
}

func TestBatchJobSizeValidate(t *testing.T) {
	errInvalidBatchJobSizeFilter := BatchJobYamlErr{
		msg: "invalid batch-job size filter",
	}

	tests := []struct {
		sizeFilter BatchJobSizeFilter
		err        error
	}{
		{
			// Unspecified size filter is a valid filter
			sizeFilter: BatchJobSizeFilter{
				UpperBound: 0,
				LowerBound: 0,
			},
			err: nil,
		},
		{

        if (list.contains(key)) {
          assertEquals(list.indexOf(key) - 1, answer);
          return;
        }
        break;
    }
    // key is not present
    int nextHigherIndex = list.size();
    for (int i = list.size() - 1; i >= 0 && list.get(i) > key; i--) {
      nextHigherIndex = i;
    }
    switch (absentBehavior) {
      case NEXT_LOWER:
        assertEquals(nextHigherIndex - 1, answer);
        return;

  size_t size = results.missing_unused_input_map_keys.size();
  tf_results->missing_unused_key_names.resize(size);
  tf_results->missing_unused_key_indexes.resize(size);

  for (int i = 0; i < size; ++i) {
    TensorId id = results.missing_unused_input_map_keys[i];
    tf_results->missing_unused_key_names_data.emplace_back(id.first);
    tf_results->missing_unused_key_names[i] =

  std::vector<size_t> lengths;
  raw_strs.reserve(values.size());
  lengths.reserve(values.size());
  for (const auto& s : values) {
    raw_strs.emplace_back(s.data());
    lengths.emplace_back(s.size());
  }
  return SetAttrStringList(attr_name,
                           reinterpret_cast<const void**>(raw_strs.data()),
                           lengths.data(), values.size());
}

namespace internal {

      sort(entries, Range.<K>rangeLexOrdering().onKeys());
      ImmutableList.Builder<Range<K>> rangesBuilder = new ImmutableList.Builder<>(entries.size());
      ImmutableList.Builder<V> valuesBuilder = new ImmutableList.Builder<>(entries.size());
      for (int i = 0; i < entries.size(); i++) {
        Range<K> range = entries.get(i).getKey();
        if (i > 0) {
          Range<K> prevRange = entries.get(i - 1).getKey();

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    @CanIgnoreReturnValue
    public Builder addAll(LongStream stream) {
      Spliterator.OfLong spliterator = stream.spliterator();
      long size = spliterator.getExactSizeIfKnown();
      if (size > 0) { // known *and* nonempty
        ensureRoomFor(Ints.saturatedCast(size));
      }
      spliterator.forEachRemaining((LongConsumer) this::add);
      return this;
    }

    /**

     */
    @CanIgnoreReturnValue
    public Builder addAll(IntStream stream) {
      Spliterator.OfInt spliterator = stream.spliterator();
      long size = spliterator.getExactSizeIfKnown();
      if (size > 0) { // known *and* nonempty
        ensureRoomFor(Ints.saturatedCast(size));
      }
      spliterator.forEachRemaining((IntConsumer) this::add);
      return this;
    }

    /**

      static_cast<bool>(should_enable);
}

void TF_SetXlaMinClusterSize(int size) {
  tensorflow::MarkForCompilationPassFlags* flags =
      tensorflow::GetMarkForCompilationPassFlags();
  flags->tf_xla_min_cluster_size = size;
}

TF_Buffer* TF_CreateConfig(unsigned char enable_xla_compilation,
                           unsigned char gpu_memory_allow_growth,