* type variable too.
   */
  @CheckForNull
  final TypeToken<? super T> getGenericSuperclass() {
    if (runtimeType instanceof TypeVariable) {
      // First bound is always the super class, if one exists.
      return boundAsSuperclass(((TypeVariable<?>) runtimeType).getBounds()[0]);
    }
    if (runtimeType instanceof WildcardType) {
      // wildcard has one and only one upper bound.

		// Part number 0 doesn't exist, expecting InvalidPart error (Test number 12).
		{bucketNames[0], objectNames[0], uploadIDs[0], []CompletePart{{ETag: "abcd", PartNumber: 0}}, "", InvalidPart{}, false},
		// // Upload and PartNumber exists, But a deliberate ETag mismatch is introduced (Test number 13).

		Policy: []string{policy},
	})
	if err != nil {
		c.Fatalf("GetLDAPPolicyEntities should not fail: %v", err)
	}
	{
		// Check that the mapping we created exists.
		idx := slices.IndexFunc(policyResult.PolicyMappings, func(e madmin.PolicyEntities) bool {
			return e.Policy == policy && slices.Contains(e.Groups, actualGroupDN)
		})
		if !(idx >= 0) {

   * iterator containing two inner lists of three elements each, all in the original order.
   *
   * <p>The returned lists implement {@link java.util.RandomAccess}.
   *
   * @param iterator the iterator to return a partitioned view of
   * @param size the desired size of each partition
   * @return an iterator of immutable lists containing the elements of {@code iterator} divided into

            static_cast<TF_Code>(tensorflow::error::DEADLINE_EXCEEDED));
  EXPECT_EQ(TF_NOT_FOUND, static_cast<TF_Code>(tensorflow::error::NOT_FOUND));
  EXPECT_EQ(TF_ALREADY_EXISTS,
            static_cast<TF_Code>(tensorflow::error::ALREADY_EXISTS));
  EXPECT_EQ(TF_PERMISSION_DENIED,
            static_cast<TF_Code>(tensorflow::error::PERMISSION_DENIED));
  EXPECT_EQ(TF_UNAUTHENTICATED,

	}

	// RelationModel3 should be existed
	_, err = findColumnType(&RelationModel3{}, "id")
	AssertEqual(t, nil, err)

	// RelationModel1 should not be existed
	_, err = findColumnType(&RelationModel1{}, "id")
	if err == nil {
		t.Errorf("RelationModel1 should not be migrated")
	}

	// RelationModel2 should not be existed
	_, err = findColumnType(&RelationModel2{}, "id")

      initTable(newEntryArray(initialCapacity));
    }

    /**
     * Returns {@code this} up-casted to the specific {@link Segment} implementation type {@code S}.
     *
     * <p>This method exists so that the {@link Segment} code can be generic in terms of {@code S},
     * the type of the concrete implementation.
     */
    abstract S self();

    List<@Nullable String> listWithNull = Lists.newArrayList((String) null);
    try {
      Maps.uniqueIndex((List<String>) listWithNull, Functions.constant(1));
      fail();
    } catch (NullPointerException expected) {
    }
  }

  /** Null keys aren't allowed either. */
  public void testUniqueIndexNullKey() {
    List<String> oneStringList = Lists.newArrayList("foo");
    try {

    List<@Nullable String> listWithNull = Lists.newArrayList((String) null);
    try {
      Maps.uniqueIndex((List<String>) listWithNull, Functions.constant(1));
      fail();
    } catch (NullPointerException expected) {
    }
  }

  /** Null keys aren't allowed either. */
  public void testUniqueIndexNullKey() {
    List<String> oneStringList = Lists.newArrayList("foo");
    try {

  TFE_Context* ctx = TFE_NewContext(opts, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteContextOptions(opts);

  TFE_TensorHandle* n = TestMatrixTensorHandle100x100(ctx);
  // If a GPU exists, copy the handle to GPU so that we can exercise
  // unprotecting a mirror.
  std::string gpu_device_name;
  if (GetDeviceName(ctx, &gpu_device_name, "GPU")) {
    TFE_TensorHandle* n_gpu =