@verbose
def read_cov(fname, verbose=None):
    check_fname(fname, 'covariance', ('-cov.fif', '-cov.fif.gz'))
    f, tree = fiff_open(fname)[:2]
    with f as fid:
        return Covariance(**_read_cov(fid, tree, FIFF.FIFFV_MNE_NOISE_COV,
                                      limited=True))


###############################################################################
# Estimate from data
CREATE TEMP TABLE temp_median (id serial PRIMARY KEY, user_name VARCHAR(50), value INT);
dataset/ETHPy150Open mne-tools/mne-python/mne/cov.py/read_cov--crossover with--dataset/ETHPy150Open dimagi/commcare-hq/custom/world_vision/custom_queries.py/CustomMedianQueryMeta._build_median_table