def METHOD_NAME():
    '''
    test variable wind to running average
    '''
    # ts = np.zeros((4,), dtype=datetime_value_2d)
    # ts[:] = [(datetime(2012, 9, 7, 8, 0), (10, 270)),
    #          (datetime(2012, 9, 7, 14, 0), (28, 270)),
    #          (datetime(2012, 9, 7, 20, 0), (28, 270)),
    #          (datetime(2012, 9, 8, 02, 0), (10, 270))]
    # wm = Wind(timeseries=ts, units='m/s')
    wm = Wind(timeseries=[(datetime(2012, 9, 7, 8, 0), (10, 270)),
                          (datetime(2012, 9, 7, 14, 0), (28, 270)),
                          (datetime(2012, 9, 7, 20, 0), (28, 270)),
                          (datetime(2012, 9, 8, 0o2, 0), (10, 270))],
              units='m/s')
    # wm = Wind(filename=wind_file)
    av = RunningAverage(wm)
    # print "wm.ossm.timeseries"
    # print wm.ossm.timeseries[:]
    # print "av.ossm.timeseries"
    # print av.ossm.timeseries[:]
    assert av.ossm.timeseries['time'][0] == wm.ossm.timeseries['time'][0]
    assert av.ossm.timeseries['value']['u'][0] == wm.ossm.timeseries['value']['u'][0]
    assert av.ossm.timeseries['value']['u'][1] == 10.5