code: def test_dense_general_batch_dim_raises(self):
      rng = dict(params=random.key(0))
      x = jnp.ones((1, 3, 2, 5))
      with self.assertRaises(ValueError):
          dg_module = nn.DenseGeneral(
              features=4,
              batch_dims=(0, 2),
              kernel_init=initializers.ones,
              bias_init=initializers.ones,
          )
          dg_module.init_with_output(rng, x)
  
imports: import functools
  import jax
  import jax.numpy
  import numpy
  from absl.testing import absltest, parameterized
  from jax import random
  from jax.nn import initializers
  from flax import linen
label_desc: Use image node_id 5 for calling the LinearTest obj's underlying member method code with example usage: obj.test_dense_general_batch_dim_raises() without return types