def METHOD_NAME(self, target):
    stride_list = self._create_example_stride_list_with_pause()
    converted, dropped = _segmented_stride_list_to_min_vel_single_sensor(stride_list, target_stride_type=target)
    # We do not test everything here, but just see if it passes the basic checks.
    assert np.all(converted["start"] == converted[target])
    # We drop two strides, one at the end of both sequences
    assert len(dropped) == 2
    assert list(dropped.index) == [4, 9]
    # check consistency
    _, tmp = enforce_stride_list_consistency(converted, stride_type=target)
    assert len(tmp) == 0
    # Check that the length of all strides is still 1
    assert np.all((converted["end"] - converted["start"]).round(2) == 1.0)