test_util: avoid overflow errors in NumPy 2.0

tests/lax_numpy_operators_test.py

@@ -453,6 +453,7 @@ def f():
   @jax.numpy_rank_promotion('allow')  # This test explicitly exercises implicit rank promotion.
   def testOp(self, op_name, rng_factory, shapes, dtypes, check_dtypes,
              tolerance, inexact, kwargs, alias):
+    raise ValueError()
     np_op = partial(getattr(np, op_name) if hasattr(np, op_name) else getattr(np, alias), **kwargs)
     jnp_op = partial(getattr(jnp, op_name), **kwargs)
     np_op = jtu.ignore_warning(category=RuntimeWarning,