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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def fetch_rrlyrae_fitdata(**kwargs):
 """Fetch data from table 3 of Sesar 2010 This table includes parameters derived from template fits to all the Sesar 2010 lightcurves. """

    save_loc = _get_download_or_cache('table3.dat.gz', **kwargs)

    dtype = [('id', 'i'), ('RA', 'f'), ('DEC', 'f'), ('rExt', 'f'),
             ('d', 'f'), ('RGC', 'f'),
             ('u', 'f'), ('g', 'f'), ('r', 'f'),
             ('i', 'f'), ('z', 'f'), ('V', 'f'),
             ('ugmin', 'f'), ('ugmin_err', 'f'),
             ('grmin', 'f'), ('grmin_err', 'f')]

    return np.loadtxt(save_loc, dtype=dtype)