def _compare_inverses_approx(inv_1, inv_2, evoked, rtol, atol,
                             check_depth=True):
    # depth prior
    if check_depth:
        if inv_1['depth_prior'] is not None:
            assert_array_almost_equal(inv_1['depth_prior']['data'],
                                      inv_2['depth_prior']['data'], 5)
        else:
            assert_true(inv_2['depth_prior'] is None)
    # orient prior
    if inv_1['orient_prior'] is not None:
        assert_array_almost_equal(inv_1['orient_prior']['data'],
                                  inv_2['orient_prior']['data'])
    else:
        assert_true(inv_2['orient_prior'] is None)
    # source cov
    assert_array_almost_equal(inv_1['source_cov']['data'],
                              inv_2['source_cov']['data'])

    # These are not as close as we'd like XXX
    assert_array_almost_equal(np.abs(inv_1['eigen_fields']['data']),
                              np.abs(inv_2['eigen_fields']['data']), 0)
    assert_array_almost_equal(np.abs(inv_1['eigen_leads']['data']),
                              np.abs(inv_2['eigen_leads']['data']), 0)

    stc_1 = apply_inverse(evoked, inv_1, lambda2, "dSPM")
    stc_2 = apply_inverse(evoked, inv_2, lambda2, "dSPM")

    assert_true(stc_1.subject == stc_2.subject)
    assert_equal(stc_1.times, stc_2.times)
    assert_allclose(stc_1.data, stc_2.data, rtol=rtol, atol=atol)
    assert_true(inv_1['units'] == inv_2['units'])
dataset/ETHPy150Open mne-tools/mne-python/mne/minimum_norm/tests/test_inverse.py/_compare_inverses_approx/original