code: def test_raise_sequential(self) -> None:
      orig_gen = torch.Generator()
      other_gen = torch.Generator()
      with self.assertRaises(ValueError):
          self._read_all_switch(
              orig_generator=orig_gen,
              new_generator=other_gen,
              shuffle=False,
          )
  
imports: import unittest
  from typing import Optional
  import torch
  import torch.nn
  from opacus import PrivacyEngine
  from opacus.data_loader import DPDataLoader, switch_generator
  from opacus.grad_sample import GradSampleModule
  from opacus.optimizers import DPOptimizer
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 7 for calling the DataLoaderSwitchRandomnessTest obj's underlying member method code with example usage: obj.test_raise_sequential() without return types