code: def test_recurrent_stack(max_sequence_length, expected_output_shape):
      recurrent_stack = recurrent_modules.RecurrentStack(
          input_size=10,
          max_sequence_length=max_sequence_length,
          hidden_size=256,
      )
      assert recurrent_stack.output_shape == torch.Size(
          expected_output_shape
      )
  
      # Batch (N), Length (L), Input (H)
      inputs = torch.rand(2, 19, 10)
      hidden, final_state = recurrent_stack(inputs)
  
      assert hidden.shape == torch.Size([2, 19, 256])
      assert final_state.shape == torch.Size([2, 256])
  
imports: import logging
  import pytest
  import torch
  from ludwig.modules import recurrent_modules
label_desc: Use image node_id 1 for calling a global function with example usage: test_recurrent_stack(max_sequence_length, expected_output_shape) without return types