def METHOD_NAME(self):
    # 1D number labels
    dataset_labels = np.array([1, 1, 10, 13, 13, 13, 15])
    batch_labels = np.array([1, 10, 1, 13, 10, 15, 15, 15])
    mapped_batch_labels = np.array([0, 1, 0, 2, 1, 3, 3, 3])
    process_label_helper(
        self, dataset_labels, batch_labels, mapped_batch_labels, batch_labels, 0
    )
    # 1D string labels
    # These work only with set_min_label_to_zero=True
    # The labels will be sorted alphabetically. So in the following, "bear" becomes 0
    dataset_labels = np.array(["dog", "dog", "cat", "bear", "bear", "bear", "lion"])
    batch_labels = np.array(
        ["dog", "cat", "dog", "bear", "cat", "lion", "lion", "lion"]
    )
    mapped_batch_labels = np.array([2, 1, 2, 0, 1, 3, 3, 3])
    process_label_helper(
        self,
        dataset_labels,
        batch_labels,
        mapped_batch_labels,
        batch_labels,
        0,
        input_is_string=True,
    )
    # 2D number labels
    dataset_labels = np.array(
        [[1, 1, 10, 13, 13, 13, 15], [10, 20, 30, 40, 50, 60, 70]]
    ).transpose()
    batch_labels = np.array(
        [[1, 10, 1, 13, 10, 15, 15, 15], [30, 70, 40, 10, 70, 60, 50, 40]]
    ).transpose()
    mapped_batch_labels0 = np.array([0, 1, 0, 2, 1, 3, 3, 3])
    mapped_batch_labels1 = np.array([2, 6, 3, 0, 6, 5, 4, 3])
    process_label_helper2d(
        self,
        dataset_labels,
        batch_labels,
        [mapped_batch_labels0, mapped_batch_labels1],
    )
    # 2D string labels
    dataset_labels = np.array(
        [
            ["dog", "dog", "cat", "bear", "bear", "bear", "lion"],
            ["A.1", "A.2", "A.3", "A.4", "A.5", "A.6", "A.7"],
        ]
    ).transpose()
    batch_labels = np.array(
        [
            ["dog", "cat", "dog", "bear", "cat", "lion", "lion", "lion"],
            ["A.3", "A.7", "A.4", "A.1", "A.7", "A.6", "A.5", "A.4"],
        ]
    ).transpose()
    mapped_batch_labels0 = np.array([2, 1, 2, 0, 1, 3, 3, 3])
    mapped_batch_labels1 = np.array([2, 6, 3, 0, 6, 5, 4, 3])
    process_label_helper2d(
        self,
        dataset_labels,
        batch_labels,
        [mapped_batch_labels0, mapped_batch_labels1],
        input_is_string=True,
    )