docstr: Validate function with a large number of classes.
docstr_tok: ["Validate","function","with","a","large","number","of","classes","."]
code: def test_large_number_of_classes(self):
      """Validate function with a large number of classes."""
      num_classes = 150
      train_samples = (
          num_classes * 10
      )  # 10 samples for each class in training
      test_samples = (
          num_classes * 5
      )  # 5 samples for each class in testing
      (_, y_train), (_, y_test) = test_utils.get_test_data(
          train_samples,
          test_samples,
          self.input_shape,
          num_classes,
      )
      self.assertEqual(len(np.unique(y_train)), num_classes)
      self.assertEqual(len(np.unique(y_test)), num_classes)
  
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 5 for calling the ClassDistributionTests obj's underlying member method code with example usage: obj.test_large_number_of_classes() without return types