Debugging CI segfault in test suite

tests/test_nash.py

@@ -121,10 +121,10 @@ def test_gnm_strategy(self):
         result = gbt.nash.gnm_solve(self.poker)
         assert len(result.equilibria) == 1
 
-    # def test_logit_strategy(self):
-    #    """Test calls of logit for mixed strategy equilibria."""
-    #    result = gbt.nash.logit_solve(self.poker, use_strategic=True)
-    #    assert len(result.equilibria) == 1
+    def test_logit_strategy(self):
+        """Test calls of logit for mixed strategy equilibria."""
+        result = gbt.nash.logit_solve(self.poker, use_strategic=True)
+        assert len(result.equilibria) == 1
 
     # def test_logit_behavior(self):
     #     """Test calls of logit for mixed behavior equilibria."""
@@ -133,13 +133,13 @@ def test_gnm_strategy(self):
 
 
 # def test_logit_zerochance():
-#    """Test handling zero-probability information sets when computing QRE."""
-#    g = gbt.Game.new_tree(["Alice"])
-#    g.append_move(g.root, g.players.chance, ["A", "B", "C"])
-#    g.set_chance_probs(g.players.chance.infosets[0], [0, 0, 1])
-#    g.append_move(g.root.children[0], "Alice", ["A", "B"])
-#    g.append_infoset(g.root.children[1], g.root.children[0].infoset)
-#    win = g.add_outcome([1])
-#    g.set_outcome(g.root.children[0].children[0], win)
-#    result = gbt.nash.logit_solve(g, use_strategic=False, maxregret=0.0001)
-#    assert result.equilibria[0].max_regret() < 0.0001
+#   """Test handling zero-probability information sets when computing QRE."""
+#   g = gbt.Game.new_tree(["Alice"])
+#   g.append_move(g.root, g.players.chance, ["A", "B", "C"])
+#   g.set_chance_probs(g.players.chance.infosets[0], [0, 0, 1])
+#   g.append_move(g.root.children[0], "Alice", ["A", "B"])
+#   g.append_infoset(g.root.children[1], g.root.children[0].infoset)
+#   win = g.add_outcome([1])
+#   g.set_outcome(g.root.children[0].children[0], win)
+#   result = gbt.nash.logit_solve(g, use_strategic=False, maxregret=0.0001)
+#   assert result.equilibria[0].max_regret() < 0.0001