code: def test_generate(self):
      # test task transformation
      trans_methods = ["RevTgt", "RevNon", "AddDiff"]
      gene = ABSAGenerator(
          trans_methods=trans_methods,
          sub_methods=[],
          dataset_config="restaurant",
      )
  
      for original_samples, trans_rst, trans_type in gene.generate(
          dataset
      ):
          self.assertEqual(3, len(original_samples))
  
      # test wrong trans_methods
      gene = ABSAGenerator(
          trans_methods=["wrong_transform_method"],
          sub_methods=[],
          dataset_config="restaurant",
      )
      self.assertRaises(ValueError, next, gene.generate(dataset))
      gene = ABSAGenerator(
          trans_methods=["Addabc"],
          sub_methods=[],
          dataset_config="restaurant",
      )
      self.assertRaises(ValueError, next, gene.generate(dataset))
      gene = ABSAGenerator(
          trans_methods=["AddSubtree"],
          sub_methods=[],
          dataset_config="restaurant",
      )
      self.assertRaises(ValueError, next, gene.generate(dataset))
      gene = ABSAGenerator(
          trans_methods="OOV",
          sub_methods=[],
          dataset_config="restaurant",
      )
      self.assertRaises(ValueError, next, gene.generate(dataset))
  
      # test pipeline trans_methods
      trans_methods = [["RevTgt", "RevNon"], ["RevNon", "AddDiff"]]
      gene = ABSAGenerator(
          trans_methods=trans_methods,
          sub_methods=[],
          dataset_config="restaurant",
      )
      for original_samples, trans_rst, trans_type in gene.generate(
          special_dataset
      ):
          self.assertEqual(len(trans_rst), len(original_samples))
  
      # test special data
      trans_methods = ["AddDiff"]
      gene = ABSAGenerator(
          trans_methods=trans_methods,
          sub_methods=[],
          dataset_config="restaurant",
      )
      for original_samples, trans_rst, trans_type in gene.generate(
          special_dataset
      ):
          self.assertEqual(len(trans_rst), len(original_samples))
  
imports: import unittest
  from textflint.input.dataset import Dataset
  from textflint.generation.generator.absa_generator import ABSAGenerator
label_desc: Use image node_id 1 for calling the TestABSAGenerator obj's underlying member method code with example usage: obj.test_generate() without return types