private boolean suggestDetail = true;

    private ReadingConverter readingConverter;

    private Normalizer normalizer;

    private float prefixMatchWeight = 2.0f;

    private boolean matchWordFirst = true;

    private boolean skipDuplicateWords = true;

    /**
     * Sets the index name.
     * @param index The index name.
     */

        assertEquals(2.0f, queryFieldConfig.additionalDefaultList.get(0).getSecond());
        assertEquals("field2", queryFieldConfig.additionalDefaultList.get(1).getFirst());
        assertEquals(1.5f, queryFieldConfig.additionalDefaultList.get(1).getSecond());
        assertEquals("field3", queryFieldConfig.additionalDefaultList.get(2).getFirst());
        assertEquals(1.0f, queryFieldConfig.additionalDefaultList.get(2).getSecond());

    })
    .elevateWordSettings(elevateWordSettings -> {
        elevateWordSettings.setElevateWords(Collections.singletonList(
            new ElevateWord("priority", 2.0f, Collections.emptyList())
        ));
    })
    .build();
```

### Request Parameters

```java
SuggestResponse response = suggester.suggest()
    .setQuery("search term")

      int expectedSize) {
    return new ObjectCountHashMap<K>(expectedSize);
  }

  private static final int MAXIMUM_CAPACITY = 1 << 30;

  static final float DEFAULT_LOAD_FACTOR = 1.0f;

  /** Bitmask that selects the low 32 bits. */
  private static final long NEXT_MASK = (1L << 32) - 1;

  /** Bitmask that selects the high 32 bits. */
  private static final long HASH_MASK = ~NEXT_MASK;

        assertEquals(24L, MemoryUtil.sizeOf((short) 1));
        assertEquals(24L, MemoryUtil.sizeOf(1));
        assertEquals(24L, MemoryUtil.sizeOf(1L));
        assertEquals(24L, MemoryUtil.sizeOf(1.0f));
        assertEquals(24L, MemoryUtil.sizeOf(1.0d));
    }

    @Test
    public void test_sizeOf_dateTimeTypes() {
        // Test different date/time types

  float result[100 * 100] = {0};
  EXPECT_EQ(sizeof(result), TF_TensorByteSize(t));
  memcpy(&result[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  for (int i = 0; i < 100 * 100; ++i) {
    EXPECT_EQ(2.0f, result[i]);
  }
  TFE_DeleteContext(ctx);
  TF_DeleteStatus(status);
#endif  // PLATFORM_WINDOWS
}
TEST(CAPI, ExecuteAdd) {
  ExecuteAdd(
      /*async=*/false,
      /*forward_input*/ false,

            final Pair<String, Float> pair = new Pair<>();
            final String[] values = s.split(":");
            if (values.length == 1) {
                pair.setFirst(values[0].trim());
                pair.setSecond(1.0f);
            } else if (values.length > 1) {
                pair.setFirst(values[0]);
                pair.setSecond(Float.parseFloat(values[1]));
            } else {
                return null;
            }

    protected CrawlerClientFactory crawlerClientFactory = null;

    protected Map<ConfigName, Map<String, String>> configParameterMap;

    public DataConfig() {
        setBoost(1.0f);
    }

    @Override
    public String getDocumentBoost() {
        return getBoost().toString();
    }

    public String getBoostValue() {
        if (boost != null) {

    this.links = new long[expectedSize];
    return expectedSize;
  }

  @Override
  Map<K, V> createHashFloodingResistantDelegate(int tableSize) {
    return new LinkedHashMap<>(tableSize, 1.0f, accessOrder);
  }

  @Override
  @CanIgnoreReturnValue
  Map<K, V> convertToHashFloodingResistantImplementation() {
    Map<K, V> result = super.convertToHashFloodingResistantImplementation();
    links = null;

    }

    @Test
    public void test_addBoostFunction_scoreFunction() {
        queryHelper.addBoostFunction(ScoreFunctionBuilders.weightFactorFunction(2.0f));

        QueryContext context = buildQuery("test");
        // Verify that function score query contains the added boost function
        assertTrue(context.getQueryBuilder().toString().contains("function_score"));