def METHOD_NAME():
    """
    """
    sheets = {"storages": pandas.DataFrame.from_dict({
        "label": ["test_1", "test_2"]})}
    sheets["storages"].set_index("label", inplace=True, drop=False)
    storage = pandas.DataFrame.from_dict({
        "label": ["test_1", "test_2"],
        "storage type": ["Generic", "Generic"],
        "max. investment capacity": [500, 500],
        "periodical costs": [10, 10],
        "periodical constraint costs": [10, 10],
        "variable output costs": [0, 50],
    })
    storage_parameter = {"battery": [0, 0, 0, 0, 0]}
    for num, test in storage.iterrows():
        storage_parameter, sheets = Storage.cluster_storage_information(
            storage=test,
            storage_parameter=storage_parameter,
            storage_type="battery",
            sheets=sheets
        )
    pandas.testing.assert_frame_equal(sheets["storages"],
                                      test_sheets_clustering)
    test_storage_parameter = {"battery": [2, 1000, 20, 20, 50]}
    assert storage_parameter == test_storage_parameter