all float y_score_np

I think numpy converts a mixed int/float array (used in the test_ranking.py tests for `coverage_error`) to np.float64. Which is causing errors on MPS

Author: jaffourt

sklearn/metrics/tests/test_common.py

@@ -2129,7 +2129,7 @@ def check_array_api_continuous_classification_metric(
     metric, array_namespace, device, dtype_name
 ):
     y_true_np = np.array([[0, 1, 0], [1, 1, 0]])
-    y_score_np = np.array([[0.1, 10.0, -3], [0, 1, 3]])
+    y_score_np = np.array([[0.1, 10.0, -3], [0.0, 1.0, 3.0]])
 
     check_array_api_metric(
         metric,