code: def test_make_batch_with_valid_and_invalid_input_tuples(self) -> None:
      # case: raises a runtime error when input has both valid and invalid tuples
      mega_batch_1 = [
          (["1 2"], 1),
          (["3 4"]),
      ]  # second tuple has no position
      with self.assertRaises(RuntimeError):
          self.module.make_batch(mega_batch_1, {})
  
imports: import random
  import string
  import unittest
  from typing import List, Optional, Tuple
  import torch
  from pytext.data.tensorizers import TensorizerScriptImpl
  from pytext.torchscript.module import PyTextEmbeddingModule, ScriptPyTextEmbeddingModule
  from pytext.torchscript.tensorizer.tensorizer import ScriptTensorizer, VocabLookup
  from pytext.torchscript.utils import pad_2d_mask, ScriptBatchInput
  from pytext.torchscript.vocab import ScriptVocabulary
  from pytorch.text.fb.utils.transform_utils import pad_2d
label_desc: Use image node_id 21 for calling the PyTextEmbeddingModuleTest obj's underlying member method code with example usage: obj.test_make_batch_with_valid_and_invalid_input_tuples() without return types