def METHOD_NAME(rq_wind):
    """
    setup a wind timeseries - uses the rq_wind fixture to get the
    wind values used for conversions
    - returns a dict with the expected datetime_rq, datetime_uv
      and time_value_pair objects
    """
    date_times = ([sec_to_date(zero_time())] * len(rq_wind['rq']))
    dtv_rq = (np.array(list(zip(date_times, rq_wind['rq'])), dtype=datetime_value_2d)
              .view(dtype=np.recarray))
    date_times = ([sec_to_date(zero_time())] * len(rq_wind['uv']))
    dtv_uv = (np.array(list(zip(date_times, rq_wind['uv'])), dtype=datetime_value_2d)
              .view(dtype=np.recarray))
    date_times = ([zero_time()] * len(rq_wind['uv']))
    values = list(zip(date_times, (tuple(w) for w in rq_wind['uv'])))
    tv = (np.array(values, dtype=time_value_pair).view(dtype=np.recarray))
    # print 'Test Case - actual values:'
    # print 'datetime_value_2d: datetime, (r, theta):'
    # print dtv_rq.time
    # print dtv_rq.value
    # print '----------'
    # print 'datetime_value_2d: datetime, (u, v):'
    # print dtv_uv.time
    # print dtv_uv.value
    # print '----------'
    # print 'time_value_pair: time, (u, v):'
    # print tv.time
    # print tv.value.reshape(len(tv.value), -1)
    return {'dtv_rq': dtv_rq, 'dtv_uv': dtv_uv, 'tv': tv}