code: def test_fit_with_early_stopping_and_fall_back_simultaneously(self):
      dataset = random_text_classification_dataset(10)
  
      early_stopping = EarlyStopping(Metric("val_loss"))
  
      classifier = self._get_clf(early_stopping=7)
      with self.assertWarnsRegex(
          UserWarning, r"Both the fit\(\) argument early_stopping"
      ):
          classifier.fit(dataset, early_stopping=early_stopping)
  
      classifier = self._get_clf(early_stopping_acc=0.98)
      with self.assertWarnsRegex(
          UserWarning, r"Both the fit\(\) argument early_stopping"
      ):
          classifier.fit(dataset, early_stopping=early_stopping)
  
imports: import unittest
  import pytest
  import numpy
  from unittest.mock import patch
  from small_text.base import LABEL_UNLABELED
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.training.metrics import Metric
  from small_text.training.early_stopping import EarlyStopping, EarlyStoppingOrCondition
label_desc: Use image node_id 14 for calling the KimCNNTest obj's underlying member method code with example usage: obj.test_fit_with_early_stopping_and_fall_back_simultaneously() without return types