def METHOD_NAME(self, tasks_base_path, corpus):
    tars = TARSClassifier(
        task_name="2_CLASS",
        label_dictionary=corpus.make_label_dictionary(label_type="class"),
        label_type="class",
    )
    # check if right number of classes
    assert len(tars.get_current_label_dictionary()) == 2
    # switch to task with only one label
    tars.add_and_switch_to_new_task("1_CLASS", "one class", "testlabel")
    # check if right number of classes
    assert len(tars.get_current_label_dictionary()) == 1
    # switch to task with three labels provided as list
    tars.add_and_switch_to_new_task("3_CLASS", ["list 1", "list 2", "list 3"], "testlabel")
    # check if right number of classes
    assert len(tars.get_current_label_dictionary()) == 3
    # switch to task with four labels provided as set
    tars.add_and_switch_to_new_task("4_CLASS", {"set 1", "set 2", "set 3", "set 4"}, "testlabel")
    # check if right number of classes
    assert len(tars.get_current_label_dictionary()) == 4
    # switch to task with two labels provided as Dictionary
    tars.add_and_switch_to_new_task("2_CLASS_AGAIN", corpus.make_label_dictionary(label_type="class"), "testlabel")
    # check if right number of classes
    assert len(tars.get_current_label_dictionary()) == 2