code: def test_embed_numpy(self):
      rng = dict(params=random.key(0))
      x = jnp.arange(4)[None]
      dummy_embedding = np.broadcast_to(
          np.arange(4)[..., None], (4, 3)
      ).astype(np.float32)
      embed_module = nn.Embed(
          num_embeddings=4,
          features=3,
          embedding_init=lambda rng, shape, dtype: dummy_embedding,
      )
      y, initial_params = embed_module.init_with_output(rng, x)
      np.testing.assert_allclose(y, dummy_embedding[None])
      z = embed_module.apply(
          initial_params, jnp.ones((3,)), method=embed_module.attend
      )
      np.testing.assert_allclose(z, 3.0 * jnp.arange(4))
  
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 42 for calling the LinearTest obj's underlying member method code with example usage: obj.test_embed_numpy() without return types