docstr: Check if labels are within valid range.
docstr_tok: ["Check","if","labels","are","within","valid","range","."]
code: def test_labels_within_range(self):
      """Check if labels are within valid range."""
      (_, y_train), (_, y_test) = test_utils.get_test_data(
          self.train_samples,
          self.test_samples,
          self.input_shape,
          self.num_classes,
      )
      self.assertTrue(np.all(y_train < self.num_classes))
      self.assertTrue(np.all(y_train >= 0))
      self.assertTrue(np.all(y_test < self.num_classes))
      self.assertTrue(np.all(y_test >= 0))
  
imports: import numpy
  from absl.testing import parameterized
  from keras.testing import test_case
  from keras.testing import test_utils
label_desc: Use image node_id 2 for calling the GetTestDataTest obj's underlying member method code with example usage: obj.test_labels_within_range() without return types