In minimize.least_squares, compute values at the solution at full verbosity.

PiperOrigin-RevId: 745301888
Change-Id: Ibd8e35e405bb2cebc7ac59a6dfc77118a6e6ba9f

python/mujoco/minimize_test.py

@@ -127,8 +127,8 @@ class MinimizeTest(absltest.TestCase):
           output=out,
           verbose=minimize.Verbosity.FULLITER,
       )
-      self.assertIn(' < tol', out.getvalue())
-      grad = trace[-2].jacobian.T @ trace[-2].residual
+      self.assertIn('norm(gradient) < tol', out.getvalue())
+      grad = trace[-1].grad
       # If x_i is on the boundary, gradient points out, otherwise it is 0.
       for i, xi in enumerate(x):
         if xi == bounds[0][i]: