code: def test_fit_transform(self):
      self.do_a_fit_transform(sparse_input=False)
  
file_path: auto-sklearn/test/test_pipeline/components/data_preprocessing/test_data_preprocessing.py
imports: import numpy
  from scipy import sparse
  from autosklearn.pipeline.components.data_preprocessing.feature_type import FeatTypeSplit
  import unittest
label_desc: Use image node_id 2 for calling the PreprocessingPipelineTest obj's underlying member method code with example usage: obj.test_fit_transform() without return types