}

        @Override
        public void setWeight(float weight) {
        }

        @Override
        public float getWeight() {
            return 0.0f;
        }

        @Override
        public void setCreateTime(Long createTime) {
        }

        @Override
        public void setLastModified(Long lastModified) {
        }

        try {
            final Query query = getQueryParser().parse(queryContext.getQueryString());
            final QueryBuilder queryBuilder = ComponentUtil.getQueryProcessor().execute(queryContext, query, 1.0f);
            if (queryBuilder != null) {
                queryContext.setQueryBuilder(queryBuilder);
            } else {
                queryContext.setQueryBuilder(QueryBuilders.matchAllQuery());
            }

            addClickCountField(map);
        }

        if (fessConfig.getIndexerFavoriteCountEnabledAsBoolean()) {
            addFavoriteCountField(map);
        }

        float documentBoost = 0.0f;
        for (final DocBoostMatcher docBoostMatcher : docBoostMatcherList) {
            if (docBoostMatcher.match(map)) {
                documentBoost = docBoostMatcher.getValue(map);
                break;
            }

  ASSERT_EQ(4, TF_TensorByteSize(t));
  float* p = static_cast<float*>(TF_TensorData(t));
  *f = *p;
}

TEST_F(CApiGradientsTest, MultipleCallsToAddGradients) {
  const float X = 3.0f, Y = 7.0f;
  TF_Operation* x = Placeholder(graph_, s_, "x", TF_FLOAT);
  TF_Operation* y = Placeholder(graph_, s_, "y", TF_FLOAT);
  TF_Operation* xy = Mul(x, y, graph_, s_, "xy");
  TF_Output dxy_dx, dxy_dy;

    if (table instanceof Set) {
      return (Set<E>) table;
    }
    return null;
  }

  private Set<E> createHashFloodingResistantDelegate(int tableSize) {
    return new LinkedHashSet<>(tableSize, 1.0f);
  }

  @CanIgnoreReturnValue
  Set<E> convertToHashFloodingResistantImplementation() {
    Set<E> newDelegate = createHashFloodingResistantDelegate(hashTableMask() + 1);

    EXPECT_EQ(0, TFE_TensorHandleNumDims(handle_1, status));
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

    // Read the value of tensor handle `handle_1`.
    float value = 0.0f;
    TF_Tensor* t = TFE_TensorHandleResolve(handle_1, status);
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    ASSERT_EQ(sizeof(float), TF_TensorByteSize(t));

                String str = threadConfiguration.substring(0, threadConfiguration.length() - 1);
                float coreMultiplier = Float.parseFloat(str);

                if (coreMultiplier <= 0.0f) {
                    throw new IllegalArgumentException("Invalid threads core multiplier value: '" + threadConfiguration
                            + "'. Value must be positive.");
                }

    if (table instanceof Map) {
      return (Map<K, V>) table;
    }
    return null;
  }

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

  @CanIgnoreReturnValue
  Map<K, V> convertToHashFloodingResistantImplementation() {
    Map<K, V> newDelegate = createHashFloodingResistantDelegate(hashTableMask() + 1);

                String str = threadConfiguration.substring(0, threadConfiguration.length() - 1);
                float coreMultiplier = Float.parseFloat(str);

                if (coreMultiplier <= 0.0f) {
                    throw new IllegalArgumentException("Invalid threads core multiplier value: '" + threadConfiguration
                            + "'. Value must be positive.");
                }

  @get:JvmName("queryParameterNames")
  val queryParameterNames: Set<String>
    get() {
      if (queryNamesAndValues == null) return emptySet()
      val result = LinkedHashSet<String>(queryNamesAndValues.size / 2, 1.0F)
      for (i in 0 until queryNamesAndValues.size step 2) {
        result.add(queryNamesAndValues[i]!!)
      }
      return result.unmodifiable()
    }

  /**