CHANGE parameter nameter of compute_contacts.

Author: petrasvestartas

src/compas_model/models/model.py

@@ -626,7 +626,7 @@ def compute_kdtree(self) -> KDTree:
     def compute_collisions(self):
         pass
 
-    def compute_contacts(self, tolerance=1e-6, minimum_area=1e-2, k=2, bvh_or_kdtree=True) -> None:
+    def compute_contacts(self, tolerance=1e-6, minimum_area=1e-2, k=2, search_type="bvh") -> None:
         """Compute the contacts between the block elements of this model.
 
         Parameters
@@ -637,8 +637,8 @@ def compute_contacts(self, tolerance=1e-6, minimum_area=1e-2, k=2, bvh_or_kdtree
             The minimum contact size.
         k : int, optional
             The number of element neighbours to consider.
-        bvh_or_kdtree : bool, optional
-            Whether to use the BVH or KDTree for nearest neighbour queries.
+        search_type : str, optional
+            Search type, possible options: 'bvh' or 'kdtree'.
 
         Returns
         -------
@@ -649,12 +649,14 @@ def compute_contacts(self, tolerance=1e-6, minimum_area=1e-2, k=2, bvh_or_kdtree
             u = element.graphnode
 
             nnbrs = []
-            if bvh_or_kdtree:
+            if search_type == "bvh":
                 nnbrs = self.bvh.nearest_neighbors(element)
-            else:
+            elif search_type == "kdtree":
                 nnbrs_and_distances = self.element_nnbrs(element, k=k)
                 for id, _ in nnbrs_and_distances:
                     nnbrs.append(id)
+            else:
+                raise ValueError("Unknown search type, possible options: 'bvh' or 'kdtree'")
 
             for nbr in nnbrs:
                 v = nbr.graphnode