code: def test_initialize_optimizer_and_scheduler_default(self):
      sub_train = random_text_classification_dataset(10)
  
      classifier = PytorchClassifierImplementation(2)
      # initialize the model
      classifier.model = KimCNN(10, 60)
  
      optimizer = None
      scheduler = None
      num_epochs = 2
      base_lr = 2e-5
  
      (
          optimizer,
          scheduler,
      ) = classifier._initialize_optimizer_and_scheduler(
          optimizer, scheduler, num_epochs, sub_train, base_lr
      )
  
      self.assertIsNotNone(optimizer)
      self.assertIsNotNone(scheduler)
  
      params, default_optimizer = classifier._default_optimizer(base_lr)
      self.assertEqual(optimizer.__class__, default_optimizer.__class__)
  
imports: import unittest
  import pytest
  import torch
  import numpy
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
label_desc: Use image node_id 2 for calling the PytorchClassifierTest obj's underlying member method code with example usage: obj.test_initialize_optimizer_and_scheduler_default() without return types