code: def test_shared_cell(self):
      batch_size = 3
      seq_len = 4
      channels_in = 5
      channels_out = 6
  
      cell = nn.LSTMCell(channels_out)
      bdirectional = nn.Bidirectional(nn.RNN(cell), nn.RNN(cell))
  
      xs = jnp.ones((batch_size, seq_len, channels_in))
      ys: jnp.ndarray
      ys, variables = bdirectional.init_with_output(
          jax.random.key(0), xs
      )
  
      self.assertEqual(
          ys.shape, (batch_size, seq_len, channels_out * 2)
      )
  
imports: import jax
  import jax.numpy
  import numpy
  from absl.testing import absltest
  from flax import linen
  from flax.linen.recurrent import flip_sequences
label_desc: Use image node_id 2 for calling the BidirectionalTest obj's underlying member method code with example usage: obj.test_shared_cell() without return types