TEST: Fit from neighbours with fixed self-counting

Author: janjoswig

cnnclustering/cnn.py

@@ -2333,7 +2333,8 @@ def predict(
                             other.labels.consider,
                             self.labels,
                             set(clusters),
-                            _cnn_cutoff)
+                            params["cnn_cutoff"],
+                            other.data.neighbourhoods.self_counting)
 
             # Predict from List[Set[int]]
             # TODO: Allow different methods and data structures

tests/unit/test_clustering.py

@@ -78,7 +78,7 @@ def test_fit_from_NeighbourhoodsList_base_neighbourhoods_e15(
             labels = np.zeros(len(neighbourhoods), dtype=np.int_)
             consider = np.ones_like(labels, dtype=np.uint8)
             cfits.fit_from_NeighbourhoodsList(
-                neighbourhoods, labels, consider, c
+                neighbourhoods, labels, consider, c, False
                 )
 
             np.testing.assert_array_equal(
@@ -101,7 +101,7 @@ def test_fit_from_NeighbourhoodsArray_base_neighbourhoods_e15(
             labels = np.zeros(len(neighbourhoods), dtype=np.int_)
             consider = np.ones_like(labels, dtype=np.uint8)
             cfits.fit_from_NeighbourhoodsArray(
-                neighbourhoods, labels, consider, c
+                neighbourhoods, labels, consider, c, False
                 )
 
             np.testing.assert_array_equal(