From b51d7c3c27da9e7dfea59795c5b2e1a1769a222a Mon Sep 17 00:00:00 2001 From: Luke Bloy Date: Mon, 2 Mar 2020 11:45:27 -0500 Subject: [PATCH] restructure test --- mne/minimum_norm/tests/test_inverse.py | 14 ++++---------- 1 file changed, 4 insertions(+), 10 deletions(-) diff --git a/mne/minimum_norm/tests/test_inverse.py b/mne/minimum_norm/tests/test_inverse.py index a48422f2687..e65b39e62ba 100644 --- a/mne/minimum_norm/tests/test_inverse.py +++ b/mne/minimum_norm/tests/test_inverse.py @@ -723,8 +723,9 @@ def test_io_inverse_operator(): def test_apply_inverse_cov(): """Test MNE with precomputed inverse operator on cov.""" raw = read_raw_fif(fname_raw, preload=True) - # # use 10 sec of data - # raw.crop(0, 10) + # use 10 sec of data + raw.crop(0, 10) + raw.filter(1, None) label_lh = read_label(fname_label % 'Aud-lh') @@ -762,18 +763,11 @@ def test_apply_inverse_cov(): n_sources = stc_raw.data.shape[0] raw_data = stc_raw.data.reshape(n_sources, -1) - exp_res = cov_scale * np.diag(np.cov(raw_data, ddof=0)) - print(cov_ori, method) - print(np.mean(stc_cov.data.ravel() / exp_res)) - print(np.max(stc_cov.data.ravel() / exp_res)) - print(np.std(stc_cov.data.ravel() / exp_res)) + exp_res = cov_scale * np.diag(np.cov(raw_data, ddof=1)) assert_allclose(exp_res, stc_cov.data.ravel(), atol=1e-26, rtol=1e-8, err_msg=('Failed for pick_ori=%s method=%s' % (cov_ori, method))) - assert_allclose(exp_res, stc_cov.data.ravel(), atol=1e-26, rtol=1e-8) - - @testing.requires_testing_data