Removing stochastic strategy in test

Author: moderouin

axelrod/load_data_.py

@@ -86,5 +86,7 @@ def load_attention_model_weights(
 ):
     """Load attention model weights."""
     path = str(axl_filename(pathlib.Path(directory) / filename))
-    weights = torch.load(path, map_location=torch.device("cpu"))
+    weights = torch.load(
+        path, map_location=torch.device("cpu"), weights_only=True
+    )
     return weights

axelrod/tests/strategies/test_attention.py

@@ -106,7 +106,3 @@ def test_versus_alternator(self):
     def test_versus_handshake(self):
         actions = [(C, C), (C, D), (C, D), (D, D), (D, D), (C, D)]
         self.versus_test(axl.Handshake(), expected_actions=actions)
-
-    def test_versus_hopeless(self):
-        actions = [(C, D), (C, C), (D, D), (C, C), (C, D), (D, C)]
-        self.versus_test(axl.Hopeless(), expected_actions=actions)