code: def test_reverse_but_keep_order(self):
      batch_size = 3
      seq_len = 4
      channels_in = 5
      channels_out = 6
  
      rnn = nn.RNN(
          nn.LSTMCell(channels_out),
          return_carry=True,
          reverse=True,
          keep_order=True,
      )
  
      xs = jnp.ones((batch_size, seq_len, channels_in))
      ys: jnp.ndarray
      (carry, ys), variables = rnn.init_with_output(
          jax.random.key(0), xs
      )
  
      cell_params = variables["params"]["cell"]
  
      for batch_idx in range(batch_size):
          cell_carry = rnn.cell.initialize_carry(
              jax.random.key(0), xs[:1, 0].shape
          )
  
          for i in range(seq_len):
              cell_carry, y = rnn.cell.apply(
                  {"params": cell_params},
                  cell_carry,
                  xs[batch_idx, seq_len - i - 1, :][None],
              )
              np.testing.assert_allclose(
                  y[0], ys[batch_idx, seq_len - i - 1, :], rtol=1e-5
              )
  
          np.testing.assert_allclose(
              cell_carry,
              jax.tree_map(
                  lambda x: x[batch_idx : batch_idx + 1], carry
              ),
              rtol=1e-5,
          )
  
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 12 for calling the RNNTest obj's underlying member method code with example usage: obj.test_reverse_but_keep_order() without return types