def METHOD_NAME():
    measurements_ = ["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"]
    data_types_ = [
        TSDataType.BOOLEAN,
        TSDataType.INT32,
        TSDataType.INT64,
        TSDataType.FLOAT,
        TSDataType.DOUBLE,
        TSDataType.TEXT,
    ]
    values_ = [
        [True, 10000, 11111, 8.999, 776, "test05"],
        [True, 1000, 1111, 0, 6.25, "test06"],
        [False, 100, 111, 188.1, 688.25, "test07"],
        [False, 10, 11, 1.25, 101.0, "test08"],
        [False, 0, 1, 1.1, 10011.1, "test09"],
    ]
    timestamps_ = [5, 6, 7, 8, 9]
    tablet_ = Tablet(
        "root.sg_test_01.d_01", measurements_, data_types_, values_, timestamps_
    )
    np_values_unsorted = [
        np.array([False, False, False, True, True]),
        np.array([0, 10, 100, 1000, 10000]),
        np.array([1, 11, 111, 1111, 11111]),
        np.array([1.1, 1.25, 188.1, 0, 8.999]),
        np.array([10011.1, 101.0, 688.25, 6.25, 776]),
        np.array(["test09", "test08", "test07", "test06", "test05"]),
    ]
    np_timestamps_unsorted = np.array([9, 8, 7, 6, 5])
    # numpy.dtype of int and float should be little endian by default
    assert np_timestamps_unsorted.dtype != np.dtype(">i8")
    for i in range(1, 4):
        assert np_values_unsorted[i].dtype != data_types_[i].np_dtype()
    np_tablet_ = NumpyTablet(
        "root.sg_test_01.d_01",
        measurements_,
        data_types_,
        np_values_unsorted,
        np_timestamps_unsorted,
    )
    assert tablet_.get_binary_timestamps() == np_tablet_.get_binary_timestamps()
    assert tablet_.get_binary_values() == np_tablet_.get_binary_values()