diff --git a/sklearn/neighbors/tests/test_ball_tree.py b/sklearn/neighbors/tests/test_ball_tree.py
index 5263f201f320b..5f244c272d773 100644
--- a/sklearn/neighbors/tests/test_ball_tree.py
+++ b/sklearn/neighbors/tests/test_ball_tree.py
@@ -20,6 +20,7 @@
     "manhattan": {},
     "minkowski": dict(p=3),
     "chebyshev": {},
+    "precomputed": {},
 }
 
 DISCRETE_METRICS = ["hamming", "canberra", "braycurtis"]
@@ -41,6 +42,9 @@
 
 def brute_force_neighbors(X, Y, k, metric, **kwargs):
     from sklearn.metrics import DistanceMetric
+    
+    if metric == "precomputed":
+        return Y, np.argsort(Y, axis=1)[:, :k]
 
     X, Y = check_array(X), check_array(Y)
     D = DistanceMetric.get_metric(metric, **kwargs).pairwise(Y, X)
@@ -73,7 +77,8 @@ def test_ball_tree_query_metrics(metric, array_type, BallTreeImplementation):
     dist1, ind1 = bt.query(Y, k)
     dist2, ind2 = brute_force_neighbors(X, Y, k, metric)
     assert_array_almost_equal(dist1, dist2)
-
+    
+    
 
 @pytest.mark.parametrize(
     "BallTreeImplementation, decimal_tol", zip(BALL_TREE_CLASSES, [6, 5])