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 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);

    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);

  @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()
    }

  /**