TEST: Update refs to deprecated methods

tests/test_atlases_query.py

@@ -218,8 +218,8 @@ def _eval_coord_voxel_query(atlas, query, qtype, qin):
         elif qin == 'out':
             expval = []
 
-        assert atlas.proportions(     query, voxel=voxel) == expval
-        assert atlas.coordProportions(query, voxel=voxel) == expval
+        assert atlas.values(     query, voxel=voxel) == expval
+        assert atlas.coordValues(query, voxel=voxel) == expval
 
     if   isinstance(atlas, fslatlases.LabelAtlas):         evalLabel()
     elif isinstance(atlas, fslatlases.ProbabilisticAtlas): evalProb()
@@ -343,13 +343,13 @@ def _eval_mask_query(atlas, query, qtype, qin):
 
         if qin == 'out':
             with pytest.raises(fslatlases.MaskError):
-                atlas.maskProportions(mask)
+                atlas.maskValues(mask)
             with pytest.raises(fslatlases.MaskError):
-                atlas.proportions(    mask)
+                atlas.values(    mask)
             return
 
-        props  = atlas.    proportions(mask)
-        props2 = atlas.maskProportions(mask)
+        props  = atlas.    values(mask)
+        props2 = atlas.maskValues(mask)
 
         assert np.all(np.isclose(props, props2))
 

tests/test_scripts/test_atlasq_ohi.py

@@ -51,7 +51,7 @@ def test_coords(seed):
     """Test the ohi -a "atlas" -c "coords" mode. """
 
     def expectedProbOutput(atlas, coords):
-        probs    = atlas.proportions(coords)
+        probs    = atlas.values(coords)
         expected = '<b>{}</b><br>'.format(atlas.desc.name)
         nzprobs  = []
 
@@ -161,7 +161,7 @@ def test_mask(seed):
 
     def expectedProbOutput(mask, atlas):
 
-        props  = atlas.maskProportions(mask)
+        props  = atlas.maskValues(mask)
         labels = [l.index for l in atlas.desc.labels]
         exp    = []
 

tests/test_scripts/test_atlasq_query.py

@@ -294,7 +294,7 @@ def _eval_coord_voxel_query(
         if o_type == 'normal': evalLabelNormalOutput(explabel)
         else:                  evalLabelShortOutput(explabel)
     elif isinstance(a_img, fslatlases.ProbabilisticAtlas):
-        expprops = a_img.proportions(query, voxel=voxel)
+        expprops = a_img.values(query, voxel=voxel)
         if o_type == 'normal': evalProbNormalOutput(expprops)
         else:                  evalProbShortOutput(expprops)
 
@@ -400,7 +400,7 @@ def _eval_mask_query(
             explabels, expprops = [], []
     elif isinstance(aimg, fslatlases.ProbabilisticAtlas):
         try:
-            expprops  = aimg.maskProportions(maskimg)
+            expprops  = aimg.maskValues(maskimg)
             explabels = aimg.desc.labels
         except fslatlases.MaskError:
             explabels = []