code: def test_dense_is_dense_general(self):
      x = jax.random.normal(random.key(0), (5, 3))
      dense_module = nn.Dense(
          features=4,
          use_bias=True,
          bias_init=initializers.normal(),
      )
      y1, _ = dense_module.init_with_output(
          dict(params=random.key(1)), x
      )
      dg_module = nn.DenseGeneral(
          features=4,
          use_bias=True,
          bias_init=initializers.normal(),
      )
      y2, _ = dg_module.init_with_output(dict(params=random.key(1)), x)
  
      np.testing.assert_allclose(y1, y2)
  
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 4 for calling the LinearTest obj's underlying member method code with example usage: obj.test_dense_is_dense_general() without return types