def test_mask_stat_map(): # Generate simple simulated data with one "spot" img, data = _simulate_img() # Try not to threshold anything mask_img, img, data_t, thre = html_stat_map._mask_stat_map(img, threshold=None) assert np.max(get_data(mask_img)) == 0 # Now threshold at zero mask_img, img, data_t, thre = html_stat_map._mask_stat_map(img, threshold=0) assert np.min((data == 0) == get_data(mask_img))
def test_mask_stat_map(): # Generate simple simulated data with one "spot" img, data = _simulate_img() # Try not to threshold anything mask_img, img, data_t, thre = html_stat_map._mask_stat_map(img, threshold=None) assert np.max(mask_img.get_data()) == 0 # Now threshold at zero mask_img, img, data_t, thre = html_stat_map._mask_stat_map(img, threshold=0) assert np.min((data == 0) == mask_img.get_data())