code: def test_roberta_max_positions_is_correctly_set(self):
      device = "cpu"
      task, model = get_toy_model(device)
      max_pos = model.max_decoder_positions()
      self.assertEqual(max_pos, 256)
      self.assertEqual(max_pos, model.decoder.max_positions())
      self.assertEqual(max_pos, model.encoder.max_positions())
      self.assertEqual(
          max_pos, model.encoder.embed_positions.max_positions
      )
  
      sentence = [31 for _ in range(max_pos)]
      sample = mk_sample("en", device, sentence, batch_size=1)
      self.assertEqual(
          list(sample["net_input"]["src_lengths"]), [max_pos]
      )
      self.assertEqual(
          len(sample["net_input"]["src_tokens"][0]), max_pos
      )
      x, _ = model.forward(**sample["net_input"])
      self.assertEqual(x.shape, (1, max_pos, VOCAB_SIZE))
  
imports: import functools
  import unittest
  from typing import Any, Dict, Sequence
  import fairseq
  import fairseq.options
  import fairseq.tasks
  import torch
  from tests.utils import dummy_dictionary
label_desc: Use image node_id 5 for calling the RobertaTest obj's underlying member method code with example usage: obj.test_roberta_max_positions_is_correctly_set() without return types