code: def test_single_layer_softmax(
      self,
      num_train,
      num_test,
      dimension,
      epochs,
      num_classes,
      tolerance,
  ):
      (
          train_dataset,
          test_dataset,
      ) = datasets.synthetic_linearly_separable_data(
          num_train, num_test, dimension, num_classes
      )
      (
          _,
          accuracy,
      ) = single_layer_softmax.single_layer_softmax_classifier(
          train_dataset, test_dataset, epochs, num_classes, "sgd"
      )
      self.assertAlmostEqual(accuracy[-1], 1, delta=tolerance)
  
imports: import unittest
  from absl.testing import parameterized
  from tensorflow_privacy.privacy.logistic_regression import datasets
  from tensorflow_privacy.privacy.logistic_regression import single_layer_softmax
label_desc: Use image node_id 1 for calling the SingleLayerSoftmaxTest obj's underlying member method code with example usage: obj.test_single_layer_softmax(num_train, num_test, dimension, epochs, num_classes, tolerance) without return types