code: def test_transformation(self):
      sent2 = "今天天气不错。"
      data_sample = UTCnSample({"x": sent2, "y": "negative"})
      import random
  
      random.seed(100)
      trans_method = MLMSuggestion(device="cpu")
  
      x = trans_method.transform(data_sample, n=5)
      transformation_results = [
          "当时天气不错。",
          "周日天气不错。",
          "今里天气不错。",
          "那季天气不错。",
          "冬年天气不错。",
      ]
  
      self.assertEqual(5, len(x))
      for index, _sample in enumerate(x):
          self.assertTrue(
              transformation_results[index] == _sample.x.text
          )
  
      special_sample = UTCnSample({"x": "", "y": "negative"})
      self.assertEqual([], trans_method.transform(special_sample))
  
imports: import unittest
  from textflint.input.component.sample import UTCnSample
  from textflint.generation.transformation.UTCN import MLMSuggestion
label_desc: Use image node_id 1 for calling the TestMLM obj's underlying member method code with example usage: obj.test_transformation() without return types