return generateListMultimap(key, value);
  }

  @Generates
  static <K, V> ImmutableMultimap<K, V> generateImmutableMultimap(K key, V value) {
    return ImmutableMultimap.of(key, value);
  }

  @Generates
  static <K, V> ListMultimap<K, V> generateListMultimap(@Nullable K key, @Nullable V value) {
    return generateArrayListMultimap(key, value);
  }

  @Generates

   * Padded variant of AtomicLong supporting only raw accesses plus CAS. The value field is placed
   * between pads, hoping that the JVM doesn't reorder them.
   *
   * <p>JVM intrinsics note: It would be possible to use a release-only form of CAS here, if it were
   * provided.
   */
  static final class Cell {
    volatile long p0, p1, p2, p3, p4, p5, p6;
    volatile long value;
    volatile long q0, q1, q2, q3, q4, q5, q6;

import org.opensearch.search.aggregations.InternalAggregations;

public class SearchResultTest extends UnitFessTestCase {

    public void test_constructor() {
        // Test with normal values
        List<Map<String, Object>> documentList = new ArrayList<>();
        Map<String, Object> doc1 = new HashMap<>();
        doc1.put("title", "Test Document 1");
        doc1.put("content", "This is test content");

      } else if (value instanceof OptionalInt) {
        return !((OptionalInt) value).isPresent();
      } else if (value instanceof OptionalLong) {
        return !((OptionalLong) value).isPresent();
      } else if (value instanceof OptionalDouble) {
        return !((OptionalDouble) value).isPresent();
      } else if (value instanceof Optional) {
        return !((Optional) value).isPresent();

* Retrieve the stored data.
* Put that data in a Pydantic model.
* Generate a `dict` without default values from the input model (using `exclude_unset`).
    * This way you can update only the values actually set by the user, instead of overriding values already stored with default values in your model.
* Create a copy of the stored model, updating its attributes with the received partial updates (using the `update` parameter).

    // Add boundary values manually to avoid over/under flow (this covers 2^N for 0 and 31).
    intValues.add(Integer.MAX_VALUE - 1, Integer.MAX_VALUE);
    // Add values up to 40. This covers cases like "square of a prime" and such.
    for (int i = 1; i <= 40; i++) {
      intValues.add(i);
    }
    // Now add values near 2^N for lots of values of N.

        @DisplayName("Should handle boundary values for structure size")
        void testBoundaryValuesForStructureSize() {
            // Test boundary values around 4
            int[] boundaryValues = { 3, 4, 5 };

            for (int value : boundaryValues) {
                byte[] buffer = new byte[10];
                SMBUtil.writeInt2(value, buffer, 0);

                if (value == 4) {
                    // Should succeed

    @Override
    public boolean contains(@Nullable Object object) {
      if (object instanceof Cell) {
        Cell<?, ?, ?> cell = (Cell<?, ?, ?>) object;
        Object value = RegularImmutableTable.this.get(cell.getRowKey(), cell.getColumnKey());
        return value != null && value.equals(cell.getValue());
      }
      return false;
    }

    @Override
    boolean isPartialView() {
      return false;
    }

                            viewHelper.createTextFragmentsByHighlight(highlightFields.values().toArray(n -> new HighlightField[n])));
                }
            }
        } catch (final Exception e) {
            if (logger.isDebugEnabled()) {
                logger.debug("Could not create a highlighting value: {}", docMap, e);
            }
        }

   * is precisely representable as a {@code double}, its {@code double} value will be returned;
   * otherwise, the rounding will choose between the two nearest representable values with {@code
   * mode}.
   *
   * <p>For the case of {@link RoundingMode#HALF_DOWN}, {@code HALF_UP}, and {@code HALF_EVEN},
   * infinite {@code double} values are considered infinitely far away. For example, 2^2000 is not